Natalia Silva defeats Wang Cong by unanimous decision
Round 5 · 5:00
Silva vs Wang — Women's Flyweight · UFC 332: Silva vs. Wang
Predictions summary
What happened
The result, the defining moments, and what the verdict means.
Silva's varied striking and constant movement gave her the early lead, and she frustrated Wang through the first two rounds.
Wang closed the gap as the fight moved into the championship rounds, but Silva kept landing and controlling the exchanges.
Wang landed her best shots of the contest in the closing moments of the fifth, and the judges scored it 48-47, 48-47 and 49-46 for Silva.
- primaryUFC 332 main card results
Pre-fight analysis — how we saw it going in
Case for Silva
Silva enters off three straight decision wins — Rose Namajunas, Alexa Grasso and Jessica Andrade. Her 20-5-1 record splits almost evenly across knockout, submission and decision finishes, a genuinely complete five-round game rather than one dominant path to a win.
Case for Wang
Wang is 10-1-0, with her only loss a second-round submission to Gabriella Fernandes in November 2024, and she has won four straight since. The latest was her most complete performance yet, using low kicks to compromise Tracy Cortez's lead leg and denying every takedown attempt for a unanimous decision in July 2026 — but she has never gone past three rounds in the Octagon, which makes the jump to a five-round title fight an open question.
What We Were Watching For
- Whether Wang's counter-striking and takedown defense hold up across a five-round championship pace she has not yet had to sustain.
- Silva's ability to mix range control with clinch and ground entries, given her finishes span knockout, submission and decision.
- Wang's low-kick game against Silva's Taekwondo-based footwork.
- Who lands the first clean exchange after a feeling-out round — both fighters' last wins went the distance.
Records & career stats
- 4.81 6.82
- 66% 60%
- 2.36 2.73
- 90% 86%
- 60% 40%
- 20-5-1
- Record
- 10-1-0
- 5-0 last 5
- Recent formRecent formWin–loss record over the fighter’s last five bouts, newest first, as carried in their UFC/FightMetric career stats.
- 4-1 last 5
- Brazil
- Nationality
- China
- 29
- Age
- 34
- Not published
- StanceStanceWhich side a fighter leads from — a striking term, not a religious one. Orthodox: right-handed, left foot and hand forward (the common default). Southpaw: the mirror image, right side forward (usually a left-hander). Switch: changes between the two during a fight.
- Orthodox
- 13:03
- Avg. fight timeAvg. timeAverage fight timeThe mean length of the fighter’s bouts (minutes:seconds) — a rough read on whether they tend to finish early or go the distance. From UFC/FightMetric.
- 10:25
- Team Borracha
- Team
- UFC PI Shanghai
Career stats per UFC.com; recent form is each fighter's last five bouts. Record is as of fight night; career stats, recent form and win totals are the latest on file and may include this fight. Bars compare each stat on a fixed scale; the “Edge” marker flags the leading corner where the gap is meaningful. The snapshot plots five career rates — output, striking defense, durability (strikes absorbed, inverted), takedown defense and finish rate — each normalised on its own scale.
Videos
Outcome footage, post-fight coverage, and the pre-fight lead-up.
Before the fight (2)
Comments
Who Called It?
How the analysts' picks held up once the cage door closed.
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Good Fights picks Natalia Silva to win by unanimous decision after five rounds.
Track record builds as we verify their past calls.
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 100.0% (3 hit, 0 miss, across 3 resolved calls). Method Accuracy 50.0% (1 hit, 1 miss, across 2 method-scored calls on 3 resolved calls). Round Accuracy: No round picks. Underdog Accuracy 100.0% (1 hit, 0 miss, across 1 underdog calls on 3 resolved calls).
- Winner Accuracy 100.0% 3
- Method Accuracy 50.0% 1 1
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 100.0% 1
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Backs Silva on the moneyline because she is strongly favored by the tracked leading predictor groups, while holding off on a submission prop pending more support from the best method predictors.
Track record builds as we verify their past calls.
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 100.0% (3 hit, 0 miss, across 3 resolved calls). Method Accuracy: No method picks. Round Accuracy: No round picks. Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 100.0% 3
- Method AccuracyCalls the winner, not the method
- Round AccuracyCalls the winner, not the round
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Expects Silva’s range management, head kicks and counter-striking to outpoint Wang over five rounds.
Track record: winner called in 11 of 12 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 91.7% (11 hit, 1 miss, across 12 resolved calls). Method Accuracy 90.9% (10 hit, 1 miss, across 11 method-scored calls on 12 resolved calls). Round Accuracy 44.4% (4 hit, 5 miss, across 9 round-scored calls on 12 resolved calls). Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 91.7% 11 1
- Method Accuracy 90.9% 10 1
- Round Accuracy 44.4% 4 5
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Natalia Silva · Sub
Fight result: Natalia Silva · Decision
Bedtime expects Silva’s movement, kicks and check hook to control the distance as Wang presses forward. He sees Silva using a clinch trip and her grappling advantage to submit Wang, while recognizing Wang’s first-round knockout threat.
- His final call is a submission in round two or three, so no single round is recorded.
- Also allows for Silva winning a decision.
“like I said, my final pick, round two or three, submission.”
Track record: winner called in 132 of 185 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 71.4% (132 hit, 53 miss, across 185 resolved calls). Method Accuracy 61.9% (60 hit, 37 miss, across 97 method-scored calls on 185 resolved calls). Round Accuracy 40.7% (11 hit, 16 miss, across 27 round-scored calls on 185 resolved calls). Underdog Accuracy 48.7% (19 hit, 20 miss, across 39 underdog calls on 185 resolved calls).
- Winner Accuracy 71.4% 132 53
- Method Accuracy 61.9% 60 37
- Round Accuracy 40.7% 11 16
- Underdog Accuracy 48.7% 19 20
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
He thinks Wang's Muay Thai and calf kicks could hinder Silva's movement and considers Wang's kickboxing experience a strong style match. He favors Silva's greater MMA experience and grappling, expecting her to mix takedowns into an otherwise close striking fight and win by decision.
- He estimates roughly a 90% chance the bout goes to a decision.
“I ultimately I'm going to go with Natala Silva to win this fight.”
* Wang's calf kicks could slow Silva's movement and make the striking difficult; he still favors Silva's MMA experience and grappling.
Track record: winner called in 115 of 163 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 70.6% (115 hit, 48 miss, across 163 resolved calls). Method Accuracy 61.8% (47 hit, 29 miss, across 76 method-scored calls on 163 resolved calls). Round Accuracy 36.5% (19 hit, 33 miss, across 52 round-scored calls on 163 resolved calls). Underdog Accuracy 52.9% (9 hit, 8 miss, across 17 underdog calls on 163 resolved calls).
- Winner Accuracy 70.6% 115 48
- Method Accuracy 61.8% 47 29
- Round Accuracy 36.5% 19 33
- Underdog Accuracy 52.9% 9 8
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
FightIQ's public record lists Natalia Silva as its pick over Wang Cong.
Track record: winner called in 159 of 227 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 70.0% (159 hit, 68 miss, across 227 resolved calls). Method Accuracy 39.9% (59 hit, 89 miss, across 148 method-scored calls on 227 resolved calls). Round Accuracy: No round picks. Underdog Accuracy 55.0% (11 hit, 9 miss, across 20 underdog calls on 227 resolved calls).
- Winner Accuracy 70.0% 159 68
- Method Accuracy 39.9% 59 89
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 55.0% 11 9
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Jimbo Ortega MMA selects Natalia Silva by decision.
Track record: winner called in 38 of 56 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 67.9% (38 hit, 18 miss, across 56 resolved calls). Method Accuracy 62.1% (18 hit, 11 miss, across 29 method-scored calls on 56 resolved calls). Round Accuracy 50.0% (1 hit, 1 miss, across 2 round-scored calls on 56 resolved calls). Underdog Accuracy 50.0% (4 hit, 4 miss, across 8 underdog calls on 56 resolved calls).
- Winner Accuracy 67.9% 38 18
- Method Accuracy 62.1% 18 11
- Round Accuracy 50.0% 1 1
- Underdog Accuracy 50.0% 4 4
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Chiesa favors Silva's speed, broader range of kicking weapons and stronger level of UFC opposition. He expects Silva to use combinations and movement to punish Wang's entries and predicts a fight that goes the distance.
“Guys, I am going with Natalyia Silva.”
Track record: winner called in 50 of 75 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 66.7% (50 hit, 25 miss, across 75 resolved calls). Method Accuracy 40.0% (2 hit, 3 miss, across 5 method-scored calls on 75 resolved calls). Round Accuracy: No round picks. Underdog Accuracy 16.7% (2 hit, 10 miss, across 12 underdog calls on 75 resolved calls).
- Winner Accuracy 66.7% 50 25
- Method Accuracy 40.0% 2 3
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 16.7% 2 10
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Expects Silva’s movement, kicks and jab to leave Wang chasing her over five rounds; recommends Silva by decision.
Track record: winner called in 14 of 21 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 66.7% (14 hit, 7 miss, across 21 resolved calls). Method Accuracy 66.7% (6 hit, 3 miss, across 9 method-scored calls on 21 resolved calls). Round Accuracy 40.0% (2 hit, 3 miss, across 5 round-scored calls on 21 resolved calls). Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 66.7% 14 7
- Method Accuracy 66.7% 6 3
- Round Accuracy 40.0% 2 3
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Picks Silva by a close decision, suggesting 48–47 or 49–46. Favors her varied kicks and experience over longer fights, while recognizing Wang’s talent and the risk of Silva being caught in exchanges.
Track record: winner called in 213 of 322 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 66.1% (213 hit, 109 miss, across 322 resolved calls). Method Accuracy 53.4% (62 hit, 54 miss, across 116 method-scored calls on 322 resolved calls). Round Accuracy 35.9% (14 hit, 25 miss, across 39 round-scored calls on 322 resolved calls). Underdog Accuracy 47.4% (18 hit, 20 miss, across 38 underdog calls on 322 resolved calls).
- Winner Accuracy 66.1% 213 109
- Method Accuracy 53.4% 62 54
- Round Accuracy 35.9% 14 25
- Underdog Accuracy 47.4% 18 20
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
JakeGerberMMA selects Natalia Silva by decision.
Track record: winner called in 101 of 154 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 65.6% (101 hit, 53 miss, across 154 resolved calls). Method Accuracy 60.0% (39 hit, 26 miss, across 65 method-scored calls on 154 resolved calls). Round Accuracy 35.7% (5 hit, 9 miss, across 14 round-scored calls on 154 resolved calls). Underdog Accuracy 33.3% (4 hit, 8 miss, across 12 underdog calls on 154 resolved calls).
- Winner Accuracy 65.6% 101 53
- Method Accuracy 60.0% 39 26
- Round Accuracy 35.7% 5 9
- Underdog Accuracy 33.3% 4 8
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Brent Brookhouse picks Natalia Silva to win by unanimous decision.
Track record: winner called in 28 of 43 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 65.1% (28 hit, 15 miss, across 43 resolved calls). Method Accuracy 36.4% (8 hit, 14 miss, across 22 method-scored calls on 43 resolved calls). Round Accuracy 22.2% (2 hit, 7 miss, across 9 round-scored calls on 43 resolved calls). Underdog Accuracy 37.5% (3 hit, 5 miss, across 8 underdog calls on 43 resolved calls).
- Winner Accuracy 65.1% 28 15
- Method Accuracy 36.4% 8 14
- Round Accuracy 22.2% 2 7
- Underdog Accuracy 37.5% 3 5
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Favors Silva’s striking over Wang’s while acknowledging Wang’s ability and saying he will root for her.
Track record: winner called in 24 of 37 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 64.9% (24 hit, 13 miss, across 37 resolved calls). Method Accuracy 60.9% (14 hit, 9 miss, across 23 method-scored calls on 37 resolved calls). Round Accuracy 21.4% (3 hit, 11 miss, across 14 round-scored calls on 37 resolved calls). Underdog Accuracy 40.0% (2 hit, 3 miss, across 5 underdog calls on 37 resolved calls).
- Winner Accuracy 64.9% 24 13
- Method Accuracy 60.9% 14 9
- Round Accuracy 21.4% 3 11
- Underdog Accuracy 40.0% 2 3
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Tony Sink selects Natalia Silva in a winner-only call.
Track record: winner called in 11 of 17 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 64.7% (11 hit, 6 miss, across 17 resolved calls). Method Accuracy: No method picks. Round Accuracy: No round picks. Underdog Accuracy 60.0% (3 hit, 2 miss, across 5 underdog calls on 17 resolved calls).
- Winner Accuracy 64.7% 11 6
- Method AccuracyCalls the winner, not the method
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 60.0% 3 2
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Mate Bersenadze picks Natalia Silva by decision, per his UFC 332 preview.
Track record: winner called in 33 of 52 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 63.5% (33 hit, 19 miss, across 52 resolved calls). Method Accuracy 51.5% (17 hit, 16 miss, across 33 method-scored calls on 52 resolved calls). Round Accuracy 100.0% (1 hit, 0 miss, across 1 round-scored calls on 52 resolved calls). Underdog Accuracy 33.3% (2 hit, 4 miss, across 6 underdog calls on 52 resolved calls).
- Winner Accuracy 63.5% 33 19
- Method Accuracy 51.5% 17 16
- Round Accuracy 100.0% 1
- Underdog Accuracy 33.3% 2 4
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
HopperoMMA selects Natalia Silva by decision.
Track record: winner called in 92 of 148 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 62.2% (92 hit, 56 miss, across 148 resolved calls). Method Accuracy 60.8% (45 hit, 29 miss, across 74 method-scored calls on 148 resolved calls). Round Accuracy 48.8% (20 hit, 21 miss, across 41 round-scored calls on 148 resolved calls). Underdog Accuracy 26.9% (7 hit, 19 miss, across 26 underdog calls on 148 resolved calls).
- Winner Accuracy 62.2% 92 56
- Method Accuracy 60.8% 45 29
- Round Accuracy 48.8% 20 21
- Underdog Accuracy 26.9% 7 19
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Bisping picks Silva because her speed and striking are complemented by wrestling. He views the grappling option as an advantage against Wang, while recognizing that both women are strong strikers.
“I'm going with Natália Silva.”
Track record: winner called in 24 of 39 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 61.5% (24 hit, 15 miss, across 39 resolved calls). Method Accuracy 33.3% (2 hit, 4 miss, across 6 method-scored calls on 39 resolved calls). Round Accuracy: No qualifying picks. Underdog Accuracy 28.6% (2 hit, 5 miss, across 7 underdog calls on 39 resolved calls).
- Winner Accuracy 61.5% 24 15
- Method Accuracy 33.3% 2 4
- Round AccuracyNamed rounds — none on a correct call yet
- Underdog Accuracy 28.6% 2 5
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
MMA Mathletes selects Natalia Silva by decision.
Track record: winner called in 32 of 54 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 59.3% (32 hit, 22 miss, across 54 resolved calls). Method Accuracy 63.6% (7 hit, 4 miss, across 11 method-scored calls on 54 resolved calls). Round Accuracy 100.0% (1 hit, 0 miss, across 1 round-scored calls on 54 resolved calls). Underdog Accuracy 28.6% (2 hit, 5 miss, across 7 underdog calls on 54 resolved calls).
- Winner Accuracy 59.3% 32 22
- Method Accuracy 63.6% 7 4
- Round Accuracy 100.0% 1
- Underdog Accuracy 28.6% 2 5
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
KingofCrackdown5095 picks Natalia Silva by decision.
Track record: winner called in 37 of 63 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 58.7% (37 hit, 26 miss, across 63 resolved calls). Method Accuracy 65.6% (21 hit, 11 miss, across 32 method-scored calls on 63 resolved calls). Round Accuracy 42.1% (8 hit, 11 miss, across 19 round-scored calls on 63 resolved calls). Underdog Accuracy 42.9% (3 hit, 4 miss, across 7 underdog calls on 63 resolved calls).
- Winner Accuracy 58.7% 37 26
- Method Accuracy 65.6% 21 11
- Round Accuracy 42.1% 8 11
- Underdog Accuracy 42.9% 3 4
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Kunath selects Natalia Silva by decision.
Track record: winner called in 38 of 65 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 58.5% (38 hit, 27 miss, across 65 resolved calls). Method Accuracy 56.7% (17 hit, 13 miss, across 30 method-scored calls on 65 resolved calls). Round Accuracy 40.0% (2 hit, 3 miss, across 5 round-scored calls on 65 resolved calls). Underdog Accuracy 25.0% (3 hit, 9 miss, across 12 underdog calls on 65 resolved calls).
- Winner Accuracy 58.5% 38 27
- Method Accuracy 56.7% 17 13
- Round Accuracy 40.0% 2 3
- Underdog Accuracy 25.0% 3 9
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Bodetti expects Silva’s movement and cleaner outside striking to carry her to a decision, with grappling options available if needed. He anticipates Silva taking most rounds rather than a finish.
Track record: winner called in 29 of 50 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 58.0% (29 hit, 21 miss, across 50 resolved calls). Method Accuracy 60.0% (3 hit, 2 miss, across 5 method-scored calls on 50 resolved calls). Round Accuracy 100.0% (1 hit, 0 miss, across 1 round-scored calls on 50 resolved calls). Underdog Accuracy 40.0% (2 hit, 3 miss, across 5 underdog calls on 50 resolved calls).
- Winner Accuracy 58.0% 29 21
- Method Accuracy 60.0% 3 2
- Round Accuracy 100.0% 1
- Underdog Accuracy 40.0% 2 3
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Favors Silva’s volume, body kicks and speed, though he respects Wang’s power and thinks her size could trouble Silva. Expects a striking fight and a decision, with more finishing or grappling upside on Wang’s side.
Track record: winner called in 55 of 95 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 57.9% (55 hit, 40 miss, across 95 resolved calls). Method Accuracy 63.8% (30 hit, 17 miss, across 47 method-scored calls on 95 resolved calls). Round Accuracy 60.0% (6 hit, 4 miss, across 10 round-scored calls on 95 resolved calls). Underdog Accuracy 23.5% (4 hit, 13 miss, across 17 underdog calls on 95 resolved calls).
- Winner Accuracy 57.9% 55 40
- Method Accuracy 63.8% 30 17
- Round Accuracy 60.0% 6 4
- Underdog Accuracy 23.5% 4 13
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
LF MMA selects Natalia Silva in a winner-only call.
Track record: winner called in 8 of 14 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 57.1% (8 hit, 6 miss, across 14 resolved calls). Method Accuracy: No method picks. Round Accuracy: No round picks. Underdog Accuracy 50.0% (1 hit, 1 miss, across 2 underdog calls on 14 resolved calls).
- Winner Accuracy 57.1% 8 6
- Method AccuracyCalls the winner, not the method
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 50.0% 1 1
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Says Silva makes the most sense and selects her in his closing call, following a comic round-by-round breakdown.
* Winner-only call; the surrounding round-by-round segment is parody.
Track record: winner called in 13 of 23 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 56.5% (13 hit, 10 miss, across 23 resolved calls). Method Accuracy 100.0% (7 hit, 0 miss, across 7 method-scored calls on 23 resolved calls). Round Accuracy 83.3% (5 hit, 1 miss, across 6 round-scored calls on 23 resolved calls). Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 56.5% 13 10
- Method Accuracy 100.0% 7
- Round Accuracy 83.3% 5 1
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Leans Silva without much conviction: undefeated UFC run and strong striking/volume; expects a close scorecard fight.
Track record: winner called in 70 of 124 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 56.5% (70 hit, 54 miss, across 124 resolved calls). Method Accuracy: No qualifying picks. Round Accuracy: No round picks. Underdog Accuracy 28.0% (7 hit, 18 miss, across 25 underdog calls on 124 resolved calls).
- Winner Accuracy 56.5% 70 54
- Method AccuracyNamed methods — none on a correct call yet
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 28.0% 7 18
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Brian Campbell picks Natalia Silva to win by unanimous decision.
Track record: winner called in 24 of 43 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 55.8% (24 hit, 19 miss, across 43 resolved calls). Method Accuracy 65.0% (13 hit, 7 miss, across 20 method-scored calls on 43 resolved calls). Round Accuracy 7.1% (1 hit, 13 miss, across 14 round-scored calls on 43 resolved calls). Underdog Accuracy 25.0% (3 hit, 9 miss, across 12 underdog calls on 43 resolved calls).
- Winner Accuracy 55.8% 24 19
- Method Accuracy 65.0% 13 7
- Round Accuracy 7.1% 1 13
- Underdog Accuracy 25.0% 3 9
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
Finocchiaro favors Silva's stronger opposition and full training camp, and sees value in her moneyline near -200.
Track record: winner called in 6 of 11 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 54.5% (6 hit, 5 miss, across 11 resolved calls). Method Accuracy 0.0% (0 hit, 2 miss, across 2 method-scored calls on 11 resolved calls). Round Accuracy: No round picks. Underdog Accuracy 0.0% (0 hit, 2 miss, across 2 underdog calls on 11 resolved calls).
- Winner Accuracy 54.5% 6 5
- Method Accuracy 0.0% 2
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 0.0% 2
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Shakiel Mahjouri picks Natalia Silva to win by unanimous decision.
Track record: winner called in 25 of 46 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 54.3% (25 hit, 21 miss, across 46 resolved calls). Method Accuracy 50.0% (10 hit, 10 miss, across 20 method-scored calls on 46 resolved calls). Round Accuracy 0.0% (0 hit, 9 miss, across 9 round-scored calls on 46 resolved calls). Underdog Accuracy 23.1% (3 hit, 10 miss, across 13 underdog calls on 46 resolved calls).
- Winner Accuracy 54.3% 25 21
- Method Accuracy 50.0% 10 10
- Round Accuracy 0.0% 9
- Underdog Accuracy 23.1% 3 10
Current pick evidence
Picked: Natalia Silva · KO/TKO · Round 3
Fight result: Natalia Silva · Decision
Schweppe picks Natalia Silva to win by third-round knockout.
Track record: winner called in 53 of 99 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 53.5% (53 hit, 46 miss, across 99 resolved calls). Method Accuracy 47.2% (25 hit, 28 miss, across 53 method-scored calls on 99 resolved calls). Round Accuracy 33.3% (10 hit, 20 miss, across 30 round-scored calls on 99 resolved calls). Underdog Accuracy 33.3% (10 hit, 20 miss, across 30 underdog calls on 99 resolved calls).
- Winner Accuracy 53.5% 53 46
- Method Accuracy 47.2% 25 28
- Round Accuracy 33.3% 10 20
- Underdog Accuracy 33.3% 10 20
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Shelton notes Silva's wins over top contenders and her six UFC decision wins; he expects Wang to start strongly but trusts Silva's cardio to take over late and her cleaner striking to carry her to a decision.
Track record: winner called in 62 of 116 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 53.4% (62 hit, 54 miss, across 116 resolved calls). Method Accuracy 87.5% (7 hit, 1 miss, across 8 method-scored calls on 116 resolved calls). Round Accuracy: No qualifying picks. Underdog Accuracy 16.7% (3 hit, 15 miss, across 18 underdog calls on 116 resolved calls).
- Winner Accuracy 53.4% 62 54
- Method Accuracy 87.5% 7 1
- Round AccuracyNamed rounds — none on a correct call yet
- Underdog Accuracy 16.7% 3 15
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Favors Silva’s counter-striking against a more cautious Wang and expects a decision rather than an especially entertaining fight.
Track record: winner called in 11 of 21 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 52.4% (11 hit, 10 miss, across 21 resolved calls). Method Accuracy 80.0% (4 hit, 1 miss, across 5 method-scored calls on 21 resolved calls). Round Accuracy 66.7% (2 hit, 1 miss, across 3 round-scored calls on 21 resolved calls). Underdog Accuracy 100.0% (1 hit, 0 miss, across 1 underdog calls on 21 resolved calls).
- Winner Accuracy 52.4% 11 10
- Method Accuracy 80.0% 4 1
- Round Accuracy 66.7% 2 1
- Underdog Accuracy 100.0% 1
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Greedo Plays MMA selects Natalia Silva by decision.
Track record: winner called in 37 of 72 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 51.4% (37 hit, 35 miss, across 72 resolved calls). Method Accuracy 63.3% (19 hit, 11 miss, across 30 method-scored calls on 72 resolved calls). Round Accuracy 57.1% (8 hit, 6 miss, across 14 round-scored calls on 72 resolved calls). Underdog Accuracy 23.1% (3 hit, 10 miss, across 13 underdog calls on 72 resolved calls).
- Winner Accuracy 51.4% 37 35
- Method Accuracy 63.3% 19 11
- Round Accuracy 57.1% 8 6
- Underdog Accuracy 23.1% 3 10
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Walk The Line MMA selects Natalia Silva by decision.
Track record: winner called in 27 of 54 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 50.0% (27 hit, 27 miss, across 54 resolved calls). Method Accuracy 57.9% (11 hit, 8 miss, across 19 method-scored calls on 54 resolved calls). Round Accuracy 40.0% (2 hit, 3 miss, across 5 round-scored calls on 54 resolved calls). Underdog Accuracy 12.5% (1 hit, 7 miss, across 8 underdog calls on 54 resolved calls).
- Winner Accuracy 50.0% 27 27
- Method Accuracy 57.9% 11 8
- Round Accuracy 40.0% 2 3
- Underdog Accuracy 12.5% 1 7
Current pick evidence
Picked: Natalia Silva · KO/TKO · Round 4
Fight result: Natalia Silva · Decision
Brandon Wise picks Natalia Silva to win by fourth-round TKO.
Track record: winner called in 21 of 43 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 48.8% (21 hit, 22 miss, across 43 resolved calls). Method Accuracy 40.0% (6 hit, 9 miss, across 15 method-scored calls on 43 resolved calls). Round Accuracy 12.5% (1 hit, 7 miss, across 8 round-scored calls on 43 resolved calls). Underdog Accuracy 8.3% (1 hit, 11 miss, across 12 underdog calls on 43 resolved calls).
- Winner Accuracy 48.8% 21 22
- Method Accuracy 40.0% 6 9
- Round Accuracy 12.5% 1 7
- Underdog Accuracy 8.3% 1 11
Current pick evidence
Picked: Natalia Silva · KO/TKO · Round 3
Fight result: Natalia Silva · Decision
Favors Silva’s preparation, timing and kicking game.
Track record: winner called in 7 of 15 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 46.7% (7 hit, 8 miss, across 15 resolved calls). Method Accuracy 33.3% (1 hit, 2 miss, across 3 method-scored calls on 15 resolved calls). Round Accuracy 0.0% (0 hit, 2 miss, across 2 round-scored calls on 15 resolved calls). Underdog Accuracy 33.3% (1 hit, 2 miss, across 3 underdog calls on 15 resolved calls).
- Winner Accuracy 46.7% 7 8
- Method Accuracy 33.3% 1 2
- Round Accuracy 0.0% 2
- Underdog Accuracy 33.3% 1 2
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Timothy Wheaton picks Natalia Silva to win, identifying a decision as the most logical method based on her recent UFC form and ability to manage elite opponents over 15 minutes.
Track record: winner called in 4 of 9 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 44.4% (4 hit, 5 miss, across 9 resolved calls). Method Accuracy 33.3% (1 hit, 2 miss, across 3 method-scored calls on 9 resolved calls). Round Accuracy: No qualifying picks. Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 44.4% 4 5
- Method Accuracy 33.3% 1 2
- Round AccuracyNamed rounds — none on a correct call yet
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Natalia Silva
Fight result: Natalia Silva · Decision
TCMMA Podcast picks Natalia Silva to win; the source does not commit to a finish type or round.
Track record: winner called in 8 of 20 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 40.0% (8 hit, 12 miss, across 20 resolved calls). Method Accuracy 25.0% (1 hit, 3 miss, across 4 method-scored calls on 20 resolved calls). Round Accuracy 0.0% (0 hit, 1 miss, across 1 round-scored calls on 20 resolved calls). Underdog Accuracy 0.0% (0 hit, 1 miss, across 1 underdog calls on 20 resolved calls).
- Winner Accuracy 40.0% 8 12
- Method Accuracy 25.0% 1 3
- Round Accuracy 0.0% 1
- Underdog Accuracy 0.0% 1
Current pick evidence
Picked: Natalia Silva · Dec
Fight result: Natalia Silva · Decision
Favors Silva’s volume, kicking and judo, but thinks Wang’s resilience will carry the fight to a decision.
Track record: winner called in 3 of 10 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 30.0% (3 hit, 7 miss, across 10 resolved calls). Method Accuracy 50.0% (1 hit, 1 miss, across 2 method-scored calls on 10 resolved calls). Round Accuracy: No qualifying picks. Underdog Accuracy 0.0% (0 hit, 1 miss, across 1 underdog calls on 10 resolved calls).
- Winner Accuracy 30.0% 3 7
- Method Accuracy 50.0% 1 1
- Round AccuracyNamed rounds — none on a correct call yet
- Underdog Accuracy 0.0% 1
Current pick evidence
Picked: Wang Cong · KO/TKO
Fight result: Natalia Silva · Decision
Expects Wang’s pressure to cut Silva off and accumulate damage, suggesting a late stoppage without committing to one round.
Track record: winner called in 7 of 12 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 58.3% (7 hit, 5 miss, across 12 resolved calls). Method Accuracy 85.7% (6 hit, 1 miss, across 7 method-scored calls on 12 resolved calls). Round Accuracy: No round picks. Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 58.3% 7 5
- Method Accuracy 85.7% 6 1
- Round AccuracyCalls the winner, not the round
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Wang Cong · Dec
Fight result: Natalia Silva · Decision
Fight Productions selects Wang Cong by decision.
Track record: winner called in 37 of 66 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 56.1% (37 hit, 29 miss, across 66 resolved calls). Method Accuracy 75.7% (28 hit, 9 miss, across 37 method-scored calls on 66 resolved calls). Round Accuracy 41.7% (10 hit, 14 miss, across 24 round-scored calls on 66 resolved calls). Underdog Accuracy 25.0% (2 hit, 6 miss, across 8 underdog calls on 66 resolved calls).
- Winner Accuracy 56.1% 37 29
- Method Accuracy 75.7% 28 9
- Round Accuracy 41.7% 10 14
- Underdog Accuracy 25.0% 2 6
Current pick evidence
Picked: Wang Cong
Fight result: Natalia Silva · Decision
Clenbat selects Wang Cong in a winner-only call.
Track record: winner called in 27 of 49 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 55.1% (27 hit, 22 miss, across 49 resolved calls). Method Accuracy: No qualifying picks. Round Accuracy: No round picks. Underdog Accuracy 37.5% (3 hit, 5 miss, across 8 underdog calls on 49 resolved calls).
- Winner Accuracy 55.1% 27 22
- Method AccuracyNamed methods — none on a correct call yet
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 37.5% 3 5
Current pick evidence
Picked: Wang Cong
Fight result: Natalia Silva · Decision
The Finz Chats selects Wang Cong in a winner-only call.
Track record: winner called in 12 of 22 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 54.5% (12 hit, 10 miss, across 22 resolved calls). Method Accuracy 42.9% (3 hit, 4 miss, across 7 method-scored calls on 22 resolved calls). Round Accuracy 100.0% (1 hit, 0 miss, across 1 round-scored calls on 22 resolved calls). Underdog Accuracy 66.7% (2 hit, 1 miss, across 3 underdog calls on 22 resolved calls).
- Winner Accuracy 54.5% 12 10
- Method Accuracy 42.9% 3 4
- Round Accuracy 100.0% 1
- Underdog Accuracy 66.7% 2 1
Current pick evidence
Picked: Wang Cong
Fight result: Natalia Silva · Decision
The MMA Yuda selects Wang Cong.
Track record: winner called in 30 of 58 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 51.7% (30 hit, 28 miss, across 58 resolved calls). Method Accuracy 0.0% (0 hit, 1 miss, across 1 method-scored calls on 58 resolved calls). Round Accuracy: No qualifying picks. Underdog Accuracy 40.0% (4 hit, 6 miss, across 10 underdog calls on 58 resolved calls).
- Winner Accuracy 51.7% 30 28
- Method Accuracy 0.0% 1
- Round AccuracyNamed rounds — none on a correct call yet
- Underdog Accuracy 40.0% 4 6
Current pick evidence
Picked: Wang Cong · KO/TKO · Round 2
Fight result: Natalia Silva · Decision
Thinks Wang will resist Silva’s feints, establish her own game plan and force Silva to adjust before a second-round knockout.
Track record: winner called in 6 of 12 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 50.0% (6 hit, 6 miss, across 12 resolved calls). Method Accuracy 16.7% (1 hit, 5 miss, across 6 method-scored calls on 12 resolved calls). Round Accuracy 0.0% (0 hit, 4 miss, across 4 round-scored calls on 12 resolved calls). Underdog Accuracy: No underdog calls with a known pre-fight price.
- Winner Accuracy 50.0% 6 6
- Method Accuracy 16.7% 1 5
- Round Accuracy 0.0% 4
- Underdog AccuracyNo underdog calls with a known pre-fight price
Current pick evidence
Picked: Wang Cong · Dec
Fight result: Natalia Silva · Decision
Picks Wang by decision for her more damaging striking, better hands, counters and distance management. He expects her volume and willingness to force exchanges to expose Silva’s mistakes and also sees a possible grappling route; he mentions a mid-to-late knockout as an alternative.
Track record: winner called in 20 of 41 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 48.8% (20 hit, 21 miss, across 41 resolved calls). Method Accuracy 85.7% (12 hit, 2 miss, across 14 method-scored calls on 41 resolved calls). Round Accuracy 100.0% (2 hit, 0 miss, across 2 round-scored calls on 41 resolved calls). Underdog Accuracy 14.3% (1 hit, 6 miss, across 7 underdog calls on 41 resolved calls).
- Winner Accuracy 48.8% 20 21
- Method Accuracy 85.7% 12 2
- Round Accuracy 100.0% 2
- Underdog Accuracy 14.3% 1 6
Current pick evidence
Picked: Wang Cong
Fight result: Natalia Silva · Decision
FIGHT//AI’s selected value bet names Wang Cong.
Track record: winner called in 49 of 153 resolved picks. How winner calls are counted
Analyst track record Track record countsWinner counts resolved calls. Method and Round count only after a correct winner call. Underdog counts picks for a strict underdog in frozen pre-fight odds.Methodology
Winner Accuracy 32.0% (49 hit, 104 miss, across 153 resolved calls). Method Accuracy 50.0% (1 hit, 1 miss, across 2 method-scored calls on 153 resolved calls). Round Accuracy: No round picks. Underdog Accuracy 20.0% (20 hit, 80 miss, across 100 underdog calls on 153 resolved calls).
- Winner Accuracy 32.0% 49 104
- Method Accuracy 50.0% 1 1
- Round AccuracyCalls the winner, not the round
- Underdog Accuracy 20.0% 20 80
Analyst picks: Good Fights Hit; UFC Predictions Tracker Hit; Hank Hit; Bedtime MMA Hit; TheWeasle Hit; FightIQ Hit; Jimbo Ortega MMA Hit; Michael Chiesa Hit; Matt Hit; The MMA Guru Hit; JakeGerberMMA Hit; Brent Brookhouse Hit; Fite Feed Hit; Tony Sink Hit; Mate Bersenadze Hit; HopperMMA Hit; Michael Bisping Hit; MMA Mathletes Hit; KingofCrackdown5095 Hit; Kunath Hit; The Octagon Oracle Miss; Angelo Bodetti Hit; Artem MMA Hit; LF MMA Hit; BeewolfMMA Hit; Jon Litterine Hit; Fight Productions Miss; Brian Campbell Hit; Clenbat Miss; The Finz Chats Miss; Lou Finocchiaro Hit; Shakiel Mahjouri Hit; Chris Schweppe Hit; Cole Shelton Hit; D.Rose Hit; The MMA Yuda Miss; Greedo Plays MMA Hit; Walk The Line MMA Hit; Vinny Miss; Brandon Wise Hit; mmadbm Miss; Gerardo Rivas Hit; Timothy Wheaton Hit; Chris Cross Hit; FIGHT//AI Miss; Carlos Cano Hit.
38 of 46 nailed it.
Chart: selected analyst picks, not a win probability. Pill badge: Winner hit rate (total scored picks before this event).
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The experts above are a lens, not credentials we conferred — analyst, fighter or betting desk.
Results
Each agent’s latest pre-fight call vs result; forecast dates may differ. Market: sportsbook snapshot or historic market reconstruction.
Actual Silva · Decision · R5
Closest probability ChatGPT put 67% on Silva.
AI Predictions — latest pre-fight calls
Frozen final publication identity; the calls below retain each agent’s own publication.AI Predictions
Each agent’s latest pre-fight forecast. Dates are shown per agent.
ChatGPT
63 of 108 winner picks correct · 58% hit rate
Pick Silva
Most likely: Silva by decision, about 47 in 100
Win chance: Silva 67%, Wang 33%.
Confidence 7 of 10 · High
Claude
61 of 101 winner picks correct · 60% hit rate
Pick Silva
Most likely: Silva by decision, about 35 in 100
Win chance: Silva 65%, Wang 35%.
Confidence 7 of 10 · High
Gemini
68 of 108 winner picks correct · 63% hit rate
Pick Silva
Most likely: Silva by decision, about 48 in 100
Win chance: Silva 66%, Wang 34%.
Confidence 7 of 10 · High
3 of 3 models pick Silva.
Questions
The result 7 questions
Who wins, and how likely?
ChatGPT
Silva: 67% (about 67 in 100 fights). Wang: 33%.
Claude
Silva: 65% (about 65 in 100 fights). Wang: 35%.
Gemini
Silva: 66% (about 66 in 100 fights). Wang: 34%.
What is the single most likely outcome?
ChatGPT
Silva by decision: 47% (about 47 in 100).
Claude
Silva by decision: 35% (about 35 in 100).
Gemini
Silva by decision: 48% (about 48 in 100).
What are the three most likely outcomes, and why?
ChatGPT
1. Silva by decision (47%); 2. Wang by decision (21%); 3. Silva by KO/TKO (11%)
Claude
1. Silva by decision (35%); 2. Wang by decision (20%); 3. Silva by KO/TKO (15%)
Gemini
1. Silva by decision (48%); 2. Wang by decision (22%); 3. Silva by KO/TKO (11%)
How confident is the model?
ChatGPT
7 of 10, based on Silva's 67% win chance.
Claude
7 of 10, based on Silva's 65% win chance.
Gemini
7 of 10, based on Silva's 66% win chance.
Does it end early or go to the judges?
ChatGPT
Finish (KO/TKO or submission): 32%. Decision: 68%.
Claude
Finish (KO/TKO or submission): 45%. Decision: 55%.
Gemini
Finish (KO/TKO or submission): 30%. Decision: 70%.
How does Silva win?
ChatGPT
Silva wins 67%: KO/TKO 11%, submission 9%, decision 47%.
Claude
Silva wins 65%: KO/TKO 15%, submission 15%, decision 35%.
Gemini
Silva wins 66%: KO/TKO 11%, submission 7%, decision 48%.
How does Wang win?
ChatGPT
Wang wins 33%: KO/TKO 10%, submission 2%, decision 21%.
Claude
Wang wins 35%: KO/TKO 10%, submission 5%, decision 20%.
Gemini
Wang wins 34%: KO/TKO 9%, submission 3%, decision 22%.
What if 1 question
What is the upset path?
ChatGPT
Wang's most likely upset: Wang by decision (21%).
Claude
Wang's most likely upset: Wang by decision (20%).
Gemini
Wang's most likely upset: Wang by decision (22%).
Compared with others 1 question
Do the models agree?
All models
The models agree: all 3 pick Silva.
After the fight 2 questions
What happened vs what the model said?
All models
Result: Silva by decision, the model's most likely outcome.
How much chance did it give the actual result?
ChatGPT
47% (about 47 in 100).
Claude
35% (about 35 in 100).
Gemini
48% (about 48 in 100).
More questions (20)
The result 7 questions
KO/TKO vs submission vs decision overall
ChatGPT
KO/TKO 21%, submission 11%, decision 68%.
Claude
KO/TKO 25%, submission 20%, decision 55%.
Gemini
KO/TKO 20%, submission 10%, decision 70%.
Who is more likely to finish the other?
ChatGPT
Silva: 20%, against 12% for Wang.
Claude
Silva: 30%, against 15% for Wang.
Gemini
Silva: 18%, against 12% for Wang.
Can Silva get the finish? Can Wang?
ChatGPT
Silva: 20% (KO/TKO 11%, submission 9%). Wang: 12% (KO/TKO 10%, submission 2%).
Claude
Silva: 30% (KO/TKO 15%, submission 15%). Wang: 15% (KO/TKO 10%, submission 5%).
Gemini
Silva: 18% (KO/TKO 11%, submission 7%). Wang: 12% (KO/TKO 9%, submission 3%).
Who is more likely to be knocked out, and who to be submitted?
ChatGPT
Silva is knocked out in 10% and submitted in 2%. Wang is knocked out in 11% and submitted in 9%.
Claude
Silva is knocked out in 10% and submitted in 5%. Wang is knocked out in 15% and submitted in 15%.
Gemini
Silva is knocked out in 9% and submitted in 3%. Wang is knocked out in 11% and submitted in 7%.
How lopsided is this fight?
ChatGPT
Lopsided: 67% vs 33%.
Claude
Lopsided: 65% vs 35%.
Gemini
Lopsided: 66% vs 34%.
Each fighter's single most likely way to win
ChatGPT
Silva by decision: 47%. Wang by decision: 21%.
Claude
Silva by decision: 35%. Wang by decision: 20%.
Gemini
Silva by decision: 48%. Wang by decision: 22%.
How big an upset would it be if the underdog wins?
ChatGPT
Wang wins 33% (about 1 in 3 fights): a big upset.
Claude
Wang wins 35% (about 1 in 3 fights): a big upset.
Gemini
Wang wins 34% (about 1 in 3 fights): a big upset.
Timing 1 question
Chance it goes to a decision
ChatGPT
68%.
Claude
55%.
Gemini
70%.
What if 1 question
If it goes to the judges, who wins?
ChatGPT
If it goes to the judges: Silva 69%, Wang 31%.
Claude
If it goes to the judges: Silva 64%, Wang 36%.
Gemini
If it goes to the judges: Silva 69%, Wang 31%.
Compared with others 5 questions
Where does this model differ from the others?
ChatGPT
Biggest difference: Silva by decision, 47% here against 42% on average for the others.
Claude
Biggest difference: Silva by decision, 35% here against 48% on average for the others.
Gemini
Biggest difference: Silva by decision, 48% here against 41% on average for the others.
How does it compare with analyst picks?
ChatGPT
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (67%).
Claude
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (65%).
Gemini
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (66%).
Which model is most confident on Silva, and which on Wang?
All models
On Silva: ChatGPT (67%). On Wang: Claude (35%).
Where do the models disagree most?
All models
Silva by decision: from 35% (Claude) to 48% (Gemini).
Which analyst agrees most with this model?
All models
Good Fights (Silva by decision), Timothy Wheaton (Silva by decision), KingofCrackdown5095 (Silva by decision), Cole Shelton (Silva by decision), JakeGerberMMA (Silva by decision), Jimbo Ortega MMA (Silva by decision), Greedo Plays MMA (Silva by decision), MMA Mathletes (Silva by decision), Kunath (Silva by decision), Walk The Line MMA (Silva by decision), HopperMMA (Silva by decision), Fite Feed (Silva by decision), Carlos Cano (Silva by decision), Hank (Silva by decision), Matt (Silva by decision), D.Rose (Silva by decision), Artem MMA (Silva by decision), Angelo Bodetti (Silva by decision), Brian Campbell (Silva by decision), Brent Brookhouse (Silva by decision), Shakiel Mahjouri (Silva by decision), The MMA Guru (Silva by decision), TheWeasle (Silva by decision), Michael Chiesa (Silva by decision), Mate Bersenadze (Silva by decision) and FightIQ (Silva by decision): the same winner and method as this model, tied; this model favours Silva, most likely by decision.
How sure 4 questions
When was this forecast made, and by which model version?
ChatGPT
On 27 Sep 2026, by gpt-6-astra.
Claude
On 27 Sep 2026, by claude-sonnet-5.
Gemini
On 29 Sep 2026, by a model version the provider did not report.
What can't the model know?
FightCard
Models research public information before the fight, such as records, styles, recent results and coverage. They cannot see inside training camps, injuries nobody has reported, or what happens on the night. A small chance is not no chance: outcomes the model rates at a few percent still happen, and big favourites lose sometimes.
How is "confidence" worked out?
FightCard
Confidence restates the favourite's win chance on a 10-step scale: the win chance in tens, rounded, so 55% is 6 of 10 and 95% or more is 10 of 10. 1 to 3 reads Low, 4 to 6 Medium and 7 to 10 High. A favourite usually has at least half the chance, so most picks show 5 or more. When the model has the fighters exactly even, there is no pick and no confidence level. It is not a separate judgement by the model.
What counts as a KO, a decision or a draw?
FightCard
KO/TKO includes referee, doctor and corner stoppages, and disqualifications. A decision includes a fight stopped early and scored on the judges' cards. A stoppage between rounds counts as a finish in the round that just ended. A draw and a no contest share one outcome.
After the fight 2 questions
Which model was closest?
All models
Gemini, which gave the actual result 48%.
Was the actual result in this model's top 3?
All models
Yes.
ChatGPT
Pick
Silva
Confidence 7 of 10 · High
Most likely: Silva by decision, about 47 in 100
Win chance: Silva 67%, Wang 33%.
Most likely outcomes
- Silva by decision47%
- Wang by decision21%
- Silva by KO/TKO11%
- KO/TKO: Silva 11%, Wang 10%.
- Submission: Silva 9%, Wang 2%.
- Decision: Silva 47%, Wang 21%.
Questions
The result 7 questions
Who wins, and how likely?
ChatGPT
Silva: 67% (about 67 in 100 fights). Wang: 33%.
Other models' answers
Claude
Silva: 65% (about 65 in 100 fights). Wang: 35%.
Gemini
Silva: 66% (about 66 in 100 fights). Wang: 34%.
What is the single most likely outcome?
ChatGPT
Silva by decision: 47% (about 47 in 100).
Other models' answers
Claude
Silva by decision: 35% (about 35 in 100).
Gemini
Silva by decision: 48% (about 48 in 100).
What are the three most likely outcomes, and why?
ChatGPT
1. Silva by decision (47%); 2. Wang by decision (21%); 3. Silva by KO/TKO (11%)
Other models' answers
Claude
1. Silva by decision (35%); 2. Wang by decision (20%); 3. Silva by KO/TKO (15%)
Gemini
1. Silva by decision (48%); 2. Wang by decision (22%); 3. Silva by KO/TKO (11%)
How confident is the model?
ChatGPT
7 of 10, based on Silva's 67% win chance.
Other models' answers
Claude
7 of 10, based on Silva's 65% win chance.
Gemini
7 of 10, based on Silva's 66% win chance.
Does it end early or go to the judges?
ChatGPT
Finish (KO/TKO or submission): 32%. Decision: 68%.
Other models' answers
Claude
Finish (KO/TKO or submission): 45%. Decision: 55%.
Gemini
Finish (KO/TKO or submission): 30%. Decision: 70%.
How does Silva win?
ChatGPT
Silva wins 67%: KO/TKO 11%, submission 9%, decision 47%.
Other models' answers
Claude
Silva wins 65%: KO/TKO 15%, submission 15%, decision 35%.
Gemini
Silva wins 66%: KO/TKO 11%, submission 7%, decision 48%.
How does Wang win?
ChatGPT
Wang wins 33%: KO/TKO 10%, submission 2%, decision 21%.
Other models' answers
Claude
Wang wins 35%: KO/TKO 10%, submission 5%, decision 20%.
Gemini
Wang wins 34%: KO/TKO 9%, submission 3%, decision 22%.
What if 1 question
What is the upset path?
ChatGPT
Wang's most likely upset: Wang by decision (21%).
Other models' answers
Claude
Wang's most likely upset: Wang by decision (20%).
Gemini
Wang's most likely upset: Wang by decision (22%).
Compared with others 1 question
Do the models agree?
ChatGPT
The models agree: all 3 pick Silva.
After the fight 2 questions
What happened vs what the model said?
ChatGPT
Result: Silva by decision, the model's most likely outcome.
How much chance did it give the actual result?
ChatGPT
47% (about 47 in 100).
Other models' answers
Claude
35% (about 35 in 100).
Gemini
48% (about 48 in 100).
More questions (20)
The result 7 questions
KO/TKO vs submission vs decision overall
ChatGPT
KO/TKO 21%, submission 11%, decision 68%.
Other models' answers
Claude
KO/TKO 25%, submission 20%, decision 55%.
Gemini
KO/TKO 20%, submission 10%, decision 70%.
Who is more likely to finish the other?
ChatGPT
Silva: 20%, against 12% for Wang.
Other models' answers
Claude
Silva: 30%, against 15% for Wang.
Gemini
Silva: 18%, against 12% for Wang.
Can Silva get the finish? Can Wang?
ChatGPT
Silva: 20% (KO/TKO 11%, submission 9%). Wang: 12% (KO/TKO 10%, submission 2%).
Other models' answers
Claude
Silva: 30% (KO/TKO 15%, submission 15%). Wang: 15% (KO/TKO 10%, submission 5%).
Gemini
Silva: 18% (KO/TKO 11%, submission 7%). Wang: 12% (KO/TKO 9%, submission 3%).
Who is more likely to be knocked out, and who to be submitted?
ChatGPT
Silva is knocked out in 10% and submitted in 2%. Wang is knocked out in 11% and submitted in 9%.
Other models' answers
Claude
Silva is knocked out in 10% and submitted in 5%. Wang is knocked out in 15% and submitted in 15%.
Gemini
Silva is knocked out in 9% and submitted in 3%. Wang is knocked out in 11% and submitted in 7%.
How lopsided is this fight?
ChatGPT
Lopsided: 67% vs 33%.
Other models' answers
Claude
Lopsided: 65% vs 35%.
Gemini
Lopsided: 66% vs 34%.
Each fighter's single most likely way to win
ChatGPT
Silva by decision: 47%. Wang by decision: 21%.
Other models' answers
Claude
Silva by decision: 35%. Wang by decision: 20%.
Gemini
Silva by decision: 48%. Wang by decision: 22%.
How big an upset would it be if the underdog wins?
ChatGPT
Wang wins 33% (about 1 in 3 fights): a big upset.
Other models' answers
Claude
Wang wins 35% (about 1 in 3 fights): a big upset.
Gemini
Wang wins 34% (about 1 in 3 fights): a big upset.
Timing 1 question
Chance it goes to a decision
ChatGPT
68%.
Other models' answers
Claude
55%.
Gemini
70%.
What if 1 question
If it goes to the judges, who wins?
ChatGPT
If it goes to the judges: Silva 69%, Wang 31%.
Other models' answers
Claude
If it goes to the judges: Silva 64%, Wang 36%.
Compared with others 5 questions
Where does this model differ from the others?
ChatGPT
Biggest difference: Silva by decision, 47% here against 42% on average for the others.
Other models' answers
Claude
Biggest difference: Silva by decision, 35% here against 48% on average for the others.
Gemini
Biggest difference: Silva by decision, 48% here against 41% on average for the others.
How does it compare with analyst picks?
ChatGPT
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (67%).
Other models' answers
Claude
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (65%).
Gemini
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (66%).
Which model is most confident on Silva, and which on Wang?
ChatGPT
On Silva: ChatGPT (67%). On Wang: Claude (35%).
Where do the models disagree most?
ChatGPT
Silva by decision: from 35% (Claude) to 48% (Gemini).
Which analyst agrees most with this model?
ChatGPT
Good Fights (Silva by decision), Timothy Wheaton (Silva by decision), KingofCrackdown5095 (Silva by decision), Cole Shelton (Silva by decision), JakeGerberMMA (Silva by decision), Jimbo Ortega MMA (Silva by decision), Greedo Plays MMA (Silva by decision), MMA Mathletes (Silva by decision), Kunath (Silva by decision), Walk The Line MMA (Silva by decision), HopperMMA (Silva by decision), Fite Feed (Silva by decision), Carlos Cano (Silva by decision), Hank (Silva by decision), Matt (Silva by decision), D.Rose (Silva by decision), Artem MMA (Silva by decision), Angelo Bodetti (Silva by decision), Brian Campbell (Silva by decision), Brent Brookhouse (Silva by decision), Shakiel Mahjouri (Silva by decision), The MMA Guru (Silva by decision), TheWeasle (Silva by decision), Michael Chiesa (Silva by decision), Mate Bersenadze (Silva by decision) and FightIQ (Silva by decision): the same winner and method as this model, tied; this model favours Silva, most likely by decision.
How sure 4 questions
When was this forecast made, and by which model version?
ChatGPT
On 27 Sep 2026, by gpt-6-astra.
Other models' answers
Claude
On 27 Sep 2026, by claude-sonnet-5.
Gemini
On 29 Sep 2026, by a model version the provider did not report.
What can't the model know?
FightCard
Models research public information before the fight, such as records, styles, recent results and coverage. They cannot see inside training camps, injuries nobody has reported, or what happens on the night. A small chance is not no chance: outcomes the model rates at a few percent still happen, and big favourites lose sometimes.
How is "confidence" worked out?
FightCard
Confidence restates the favourite's win chance on a 10-step scale: the win chance in tens, rounded, so 55% is 6 of 10 and 95% or more is 10 of 10. 1 to 3 reads Low, 4 to 6 Medium and 7 to 10 High. A favourite usually has at least half the chance, so most picks show 5 or more. When the model has the fighters exactly even, there is no pick and no confidence level. It is not a separate judgement by the model.
What counts as a KO, a decision or a draw?
FightCard
KO/TKO includes referee, doctor and corner stoppages, and disqualifications. A decision includes a fight stopped early and scored on the judges' cards. A stoppage between rounds counts as a finish in the round that just ended. A draw and a no contest share one outcome.
After the fight 2 questions
Which model was closest?
ChatGPT
Gemini, which gave the actual result 48%.
Was the actual result in this model's top 3?
ChatGPT
Yes.
gpt-6-astra · 27 Sep63 of 108 winner picks correct · 58% hit rate
Claude
Pick
Silva
Confidence 7 of 10 · High
Most likely: Silva by decision, about 35 in 100
Win chance: Silva 65%, Wang 35%.
Most likely outcomes
- Silva by decision35%
- Wang by decision20%
- Silva by KO/TKO, tied for number 315%
- KO/TKO: Silva 15%, Wang 10%.
- Submission: Silva 15%, Wang 5%.
- Decision: Silva 35%, Wang 20%.
Questions
The result 7 questions
Who wins, and how likely?
Claude
Silva: 65% (about 65 in 100 fights). Wang: 35%.
Other models' answers
ChatGPT
Silva: 67% (about 67 in 100 fights). Wang: 33%.
Gemini
Silva: 66% (about 66 in 100 fights). Wang: 34%.
What is the single most likely outcome?
Claude
Silva by decision: 35% (about 35 in 100).
Other models' answers
ChatGPT
Silva by decision: 47% (about 47 in 100).
Gemini
Silva by decision: 48% (about 48 in 100).
What are the three most likely outcomes, and why?
Claude
1. Silva by decision (35%); 2. Wang by decision (20%); 3. Silva by KO/TKO (15%)
Other models' answers
ChatGPT
1. Silva by decision (47%); 2. Wang by decision (21%); 3. Silva by KO/TKO (11%)
Gemini
1. Silva by decision (48%); 2. Wang by decision (22%); 3. Silva by KO/TKO (11%)
How confident is the model?
Claude
7 of 10, based on Silva's 65% win chance.
Other models' answers
ChatGPT
7 of 10, based on Silva's 67% win chance.
Gemini
7 of 10, based on Silva's 66% win chance.
Does it end early or go to the judges?
Claude
Finish (KO/TKO or submission): 45%. Decision: 55%.
Other models' answers
ChatGPT
Finish (KO/TKO or submission): 32%. Decision: 68%.
Gemini
Finish (KO/TKO or submission): 30%. Decision: 70%.
How does Silva win?
Claude
Silva wins 65%: KO/TKO 15%, submission 15%, decision 35%.
Other models' answers
ChatGPT
Silva wins 67%: KO/TKO 11%, submission 9%, decision 47%.
Gemini
Silva wins 66%: KO/TKO 11%, submission 7%, decision 48%.
How does Wang win?
Claude
Wang wins 35%: KO/TKO 10%, submission 5%, decision 20%.
Other models' answers
ChatGPT
Wang wins 33%: KO/TKO 10%, submission 2%, decision 21%.
Gemini
Wang wins 34%: KO/TKO 9%, submission 3%, decision 22%.
What if 1 question
What is the upset path?
Claude
Wang's most likely upset: Wang by decision (20%).
Other models' answers
ChatGPT
Wang's most likely upset: Wang by decision (21%).
Gemini
Wang's most likely upset: Wang by decision (22%).
Compared with others 1 question
Do the models agree?
Claude
The models agree: all 3 pick Silva.
After the fight 2 questions
What happened vs what the model said?
Claude
Result: Silva by decision, the model's most likely outcome.
How much chance did it give the actual result?
Claude
35% (about 35 in 100).
Other models' answers
ChatGPT
47% (about 47 in 100).
Gemini
48% (about 48 in 100).
More questions (20)
The result 7 questions
KO/TKO vs submission vs decision overall
Claude
KO/TKO 25%, submission 20%, decision 55%.
Other models' answers
ChatGPT
KO/TKO 21%, submission 11%, decision 68%.
Gemini
KO/TKO 20%, submission 10%, decision 70%.
Who is more likely to finish the other?
Claude
Silva: 30%, against 15% for Wang.
Other models' answers
ChatGPT
Silva: 20%, against 12% for Wang.
Gemini
Silva: 18%, against 12% for Wang.
Can Silva get the finish? Can Wang?
Claude
Silva: 30% (KO/TKO 15%, submission 15%). Wang: 15% (KO/TKO 10%, submission 5%).
Other models' answers
ChatGPT
Silva: 20% (KO/TKO 11%, submission 9%). Wang: 12% (KO/TKO 10%, submission 2%).
Gemini
Silva: 18% (KO/TKO 11%, submission 7%). Wang: 12% (KO/TKO 9%, submission 3%).
Who is more likely to be knocked out, and who to be submitted?
Claude
Silva is knocked out in 10% and submitted in 5%. Wang is knocked out in 15% and submitted in 15%.
Other models' answers
ChatGPT
Silva is knocked out in 10% and submitted in 2%. Wang is knocked out in 11% and submitted in 9%.
Gemini
Silva is knocked out in 9% and submitted in 3%. Wang is knocked out in 11% and submitted in 7%.
How lopsided is this fight?
Claude
Lopsided: 65% vs 35%.
Other models' answers
ChatGPT
Lopsided: 67% vs 33%.
Gemini
Lopsided: 66% vs 34%.
Each fighter's single most likely way to win
Claude
Silva by decision: 35%. Wang by decision: 20%.
Other models' answers
ChatGPT
Silva by decision: 47%. Wang by decision: 21%.
Gemini
Silva by decision: 48%. Wang by decision: 22%.
How big an upset would it be if the underdog wins?
Claude
Wang wins 35% (about 1 in 3 fights): a big upset.
Other models' answers
ChatGPT
Wang wins 33% (about 1 in 3 fights): a big upset.
Gemini
Wang wins 34% (about 1 in 3 fights): a big upset.
Timing 1 question
Chance it goes to a decision
Claude
55%.
Other models' answers
ChatGPT
68%.
Gemini
70%.
What if 1 question
If it goes to the judges, who wins?
Claude
If it goes to the judges: Silva 64%, Wang 36%.
Other models' answers
ChatGPT
If it goes to the judges: Silva 69%, Wang 31%.
Gemini
If it goes to the judges: Silva 69%, Wang 31%.
Compared with others 5 questions
Where does this model differ from the others?
Claude
Biggest difference: Silva by decision, 35% here against 48% on average for the others.
Other models' answers
ChatGPT
Biggest difference: Silva by decision, 47% here against 42% on average for the others.
Gemini
Biggest difference: Silva by decision, 48% here against 41% on average for the others.
How does it compare with analyst picks?
Claude
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (65%).
Other models' answers
ChatGPT
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (67%).
Gemini
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (66%).
Which model is most confident on Silva, and which on Wang?
Claude
On Silva: ChatGPT (67%). On Wang: Claude (35%).
Where do the models disagree most?
Claude
Silva by decision: from 35% (Claude) to 48% (Gemini).
Which analyst agrees most with this model?
Claude
Good Fights (Silva by decision), Timothy Wheaton (Silva by decision), KingofCrackdown5095 (Silva by decision), Cole Shelton (Silva by decision), JakeGerberMMA (Silva by decision), Jimbo Ortega MMA (Silva by decision), Greedo Plays MMA (Silva by decision), MMA Mathletes (Silva by decision), Kunath (Silva by decision), Walk The Line MMA (Silva by decision), HopperMMA (Silva by decision), Fite Feed (Silva by decision), Carlos Cano (Silva by decision), Hank (Silva by decision), Matt (Silva by decision), D.Rose (Silva by decision), Artem MMA (Silva by decision), Angelo Bodetti (Silva by decision), Brian Campbell (Silva by decision), Brent Brookhouse (Silva by decision), Shakiel Mahjouri (Silva by decision), The MMA Guru (Silva by decision), TheWeasle (Silva by decision), Michael Chiesa (Silva by decision), Mate Bersenadze (Silva by decision) and FightIQ (Silva by decision): the same winner and method as this model, tied; this model favours Silva, most likely by decision.
How sure 4 questions
When was this forecast made, and by which model version?
Claude
On 27 Sep 2026, by claude-sonnet-5.
Other models' answers
ChatGPT
On 27 Sep 2026, by gpt-6-astra.
Gemini
On 29 Sep 2026, by a model version the provider did not report.
What can't the model know?
FightCard
Models research public information before the fight, such as records, styles, recent results and coverage. They cannot see inside training camps, injuries nobody has reported, or what happens on the night. A small chance is not no chance: outcomes the model rates at a few percent still happen, and big favourites lose sometimes.
How is "confidence" worked out?
FightCard
Confidence restates the favourite's win chance on a 10-step scale: the win chance in tens, rounded, so 55% is 6 of 10 and 95% or more is 10 of 10. 1 to 3 reads Low, 4 to 6 Medium and 7 to 10 High. A favourite usually has at least half the chance, so most picks show 5 or more. When the model has the fighters exactly even, there is no pick and no confidence level. It is not a separate judgement by the model.
What counts as a KO, a decision or a draw?
FightCard
KO/TKO includes referee, doctor and corner stoppages, and disqualifications. A decision includes a fight stopped early and scored on the judges' cards. A stoppage between rounds counts as a finish in the round that just ended. A draw and a no contest share one outcome.
After the fight 2 questions
Which model was closest?
Claude
Gemini, which gave the actual result 48%.
Was the actual result in this model's top 3?
Claude
Yes.
claude-sonnet-5 · 27 Sep61 of 101 winner picks correct · 60% hit rate
Gemini
Pick
Silva
Confidence 7 of 10 · High
Most likely: Silva by decision, about 48 in 100
Win chance: Silva 66%, Wang 34%.
Most likely outcomes
- Silva by decision48%
- Wang by decision22%
- Silva by KO/TKO11%
- KO/TKO: Silva 11%, Wang 9%.
- Submission: Silva 7%, Wang 3%.
- Decision: Silva 48%, Wang 22%.
Questions
The result 7 questions
Who wins, and how likely?
Gemini
Silva: 66% (about 66 in 100 fights). Wang: 34%.
Other models' answers
ChatGPT
Silva: 67% (about 67 in 100 fights). Wang: 33%.
Claude
Silva: 65% (about 65 in 100 fights). Wang: 35%.
What is the single most likely outcome?
Gemini
Silva by decision: 48% (about 48 in 100).
Other models' answers
ChatGPT
Silva by decision: 47% (about 47 in 100).
Claude
Silva by decision: 35% (about 35 in 100).
What are the three most likely outcomes, and why?
Gemini
1. Silva by decision (48%); 2. Wang by decision (22%); 3. Silva by KO/TKO (11%)
Other models' answers
ChatGPT
1. Silva by decision (47%); 2. Wang by decision (21%); 3. Silva by KO/TKO (11%)
Claude
1. Silva by decision (35%); 2. Wang by decision (20%); 3. Silva by KO/TKO (15%)
How confident is the model?
Gemini
7 of 10, based on Silva's 66% win chance.
Other models' answers
ChatGPT
7 of 10, based on Silva's 67% win chance.
Claude
7 of 10, based on Silva's 65% win chance.
Does it end early or go to the judges?
Gemini
Finish (KO/TKO or submission): 30%. Decision: 70%.
Other models' answers
ChatGPT
Finish (KO/TKO or submission): 32%. Decision: 68%.
Claude
Finish (KO/TKO or submission): 45%. Decision: 55%.
How does Silva win?
Gemini
Silva wins 66%: KO/TKO 11%, submission 7%, decision 48%.
Other models' answers
ChatGPT
Silva wins 67%: KO/TKO 11%, submission 9%, decision 47%.
Claude
Silva wins 65%: KO/TKO 15%, submission 15%, decision 35%.
How does Wang win?
Gemini
Wang wins 34%: KO/TKO 9%, submission 3%, decision 22%.
Other models' answers
ChatGPT
Wang wins 33%: KO/TKO 10%, submission 2%, decision 21%.
Claude
Wang wins 35%: KO/TKO 10%, submission 5%, decision 20%.
What if 1 question
What is the upset path?
Gemini
Wang's most likely upset: Wang by decision (22%).
Other models' answers
ChatGPT
Wang's most likely upset: Wang by decision (21%).
Claude
Wang's most likely upset: Wang by decision (20%).
Compared with others 1 question
Do the models agree?
Gemini
The models agree: all 3 pick Silva.
After the fight 2 questions
What happened vs what the model said?
Gemini
Result: Silva by decision, the model's most likely outcome.
How much chance did it give the actual result?
Gemini
48% (about 48 in 100).
Other models' answers
ChatGPT
47% (about 47 in 100).
Claude
35% (about 35 in 100).
More questions (20)
The result 7 questions
KO/TKO vs submission vs decision overall
Gemini
KO/TKO 20%, submission 10%, decision 70%.
Other models' answers
ChatGPT
KO/TKO 21%, submission 11%, decision 68%.
Claude
KO/TKO 25%, submission 20%, decision 55%.
Who is more likely to finish the other?
Gemini
Silva: 18%, against 12% for Wang.
Other models' answers
ChatGPT
Silva: 20%, against 12% for Wang.
Claude
Silva: 30%, against 15% for Wang.
Can Silva get the finish? Can Wang?
Gemini
Silva: 18% (KO/TKO 11%, submission 7%). Wang: 12% (KO/TKO 9%, submission 3%).
Other models' answers
ChatGPT
Silva: 20% (KO/TKO 11%, submission 9%). Wang: 12% (KO/TKO 10%, submission 2%).
Claude
Silva: 30% (KO/TKO 15%, submission 15%). Wang: 15% (KO/TKO 10%, submission 5%).
Who is more likely to be knocked out, and who to be submitted?
Gemini
Silva is knocked out in 9% and submitted in 3%. Wang is knocked out in 11% and submitted in 7%.
Other models' answers
ChatGPT
Silva is knocked out in 10% and submitted in 2%. Wang is knocked out in 11% and submitted in 9%.
Claude
Silva is knocked out in 10% and submitted in 5%. Wang is knocked out in 15% and submitted in 15%.
How lopsided is this fight?
Gemini
Lopsided: 66% vs 34%.
Other models' answers
ChatGPT
Lopsided: 67% vs 33%.
Claude
Lopsided: 65% vs 35%.
Each fighter's single most likely way to win
Gemini
Silva by decision: 48%. Wang by decision: 22%.
Other models' answers
ChatGPT
Silva by decision: 47%. Wang by decision: 21%.
Claude
Silva by decision: 35%. Wang by decision: 20%.
How big an upset would it be if the underdog wins?
Gemini
Wang wins 34% (about 1 in 3 fights): a big upset.
Other models' answers
ChatGPT
Wang wins 33% (about 1 in 3 fights): a big upset.
Claude
Wang wins 35% (about 1 in 3 fights): a big upset.
Timing 1 question
Chance it goes to a decision
Gemini
70%.
Other models' answers
ChatGPT
68%.
Claude
55%.
What if 1 question
If it goes to the judges, who wins?
Gemini
If it goes to the judges: Silva 69%, Wang 31%.
Other models' answers
Claude
If it goes to the judges: Silva 64%, Wang 36%.
Compared with others 5 questions
Where does this model differ from the others?
Gemini
Biggest difference: Silva by decision, 48% here against 41% on average for the others.
Other models' answers
ChatGPT
Biggest difference: Silva by decision, 47% here against 42% on average for the others.
Claude
Biggest difference: Silva by decision, 35% here against 48% on average for the others.
How does it compare with analyst picks?
Gemini
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (66%).
Other models' answers
ChatGPT
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (67%).
Claude
Of 46 analyst picks, 38 back Silva and 8 back Wang. This model picks Silva (65%).
Which model is most confident on Silva, and which on Wang?
Gemini
On Silva: ChatGPT (67%). On Wang: Claude (35%).
Where do the models disagree most?
Gemini
Silva by decision: from 35% (Claude) to 48% (Gemini).
Which analyst agrees most with this model?
Gemini
Good Fights (Silva by decision), Timothy Wheaton (Silva by decision), KingofCrackdown5095 (Silva by decision), Cole Shelton (Silva by decision), JakeGerberMMA (Silva by decision), Jimbo Ortega MMA (Silva by decision), Greedo Plays MMA (Silva by decision), MMA Mathletes (Silva by decision), Kunath (Silva by decision), Walk The Line MMA (Silva by decision), HopperMMA (Silva by decision), Fite Feed (Silva by decision), Carlos Cano (Silva by decision), Hank (Silva by decision), Matt (Silva by decision), D.Rose (Silva by decision), Artem MMA (Silva by decision), Angelo Bodetti (Silva by decision), Brian Campbell (Silva by decision), Brent Brookhouse (Silva by decision), Shakiel Mahjouri (Silva by decision), The MMA Guru (Silva by decision), TheWeasle (Silva by decision), Michael Chiesa (Silva by decision), Mate Bersenadze (Silva by decision) and FightIQ (Silva by decision): the same winner and method as this model, tied; this model favours Silva, most likely by decision.
How sure 4 questions
When was this forecast made, and by which model version?
Gemini
On 29 Sep 2026, by a model version the provider did not report.
Other models' answers
ChatGPT
On 27 Sep 2026, by gpt-6-astra.
Claude
On 27 Sep 2026, by claude-sonnet-5.
What can't the model know?
FightCard
Models research public information before the fight, such as records, styles, recent results and coverage. They cannot see inside training camps, injuries nobody has reported, or what happens on the night. A small chance is not no chance: outcomes the model rates at a few percent still happen, and big favourites lose sometimes.
How is "confidence" worked out?
FightCard
Confidence restates the favourite's win chance on a 10-step scale: the win chance in tens, rounded, so 55% is 6 of 10 and 95% or more is 10 of 10. 1 to 3 reads Low, 4 to 6 Medium and 7 to 10 High. A favourite usually has at least half the chance, so most picks show 5 or more. When the model has the fighters exactly even, there is no pick and no confidence level. It is not a separate judgement by the model.
What counts as a KO, a decision or a draw?
FightCard
KO/TKO includes referee, doctor and corner stoppages, and disqualifications. A decision includes a fight stopped early and scored on the judges' cards. A stoppage between rounds counts as a finish in the round that just ended. A draw and a no contest share one outcome.
After the fight 2 questions
Which model was closest?
Gemini
Gemini, which gave the actual result 48%.
Was the actual result in this model's top 3?
Gemini
Yes.
Version not reported · 29 Sep68 of 108 winner picks correct · 63% hit rate
AI-generated · Not betting advice · 21+. Gambling problem? Call 1-800-MY-RESET
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