FightChoice Intelligence Report

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Nora Cornolle vs Klaudia Sygula

https://fightchoice.app/events/nora-cornolle-vs-klaudia-sygula-prediction-2026-09-05

Women's Bantamweight

UFC Fight Night: Hooker vs. Parnasse · Sep 5, 2026

Stats Model Prediction

🔒 Prediction locked in before the fight · Predicted Aug 16, 2026, 21:53 UTC

Model Breakdown
Nora Cornolle Klaudia Sygula
Deep Learning Model α 21% weight 51.0% 49.0%
Deep Learning Model ξ 23% weight 53.6% 46.4%
Statistical Model δ 16% weight 42.5% 57.5%
Statistical Model β 21% weight 30.2% 69.8%
Statistical Model ε 19% weight 27.5% 72.5%
Ensemble 37.0% 63.0%
Predicted Winner
Klaudia Sygula
63.0%
Confidence
* Model output, not betting advice. Bet responsibly.

*New fighters, prediction made with limited information

Predicted Duration
Decision (15m00s total)

Chance the Fight Is Still Going

65% Chance of Decision

The curve stays above 50% all the way to the final bell, which is why the call above is a decision.

Path To Victory
Fighter By decision *Based on 29 similar fights By KO/TKO *Based on 29 similar fights By submission *Based on 29 similar fights Win Confidence *Based on our prediction
Nora Cornolle 16.6% 12.8% 7.7% 37.0%
Klaudia Sygula 28.2% 21.7% 13.0% 63.0%
29 historical bouts 44.8% 34.5% 20.7% 100.0%
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How Similar Fights Ended

29 historical bouts

Every past fight is placed by the SHAPE of its mismatch — how far apart the two fighters were on each of 37 career measures, setting aside which one was ahead. Fights that sit close together form a profile. Below is how the 29 bouts in this bout's profile actually ended.

45% Reached the judges
55% Ended early
34% KO/TKO 21% Submission 3:18 Median finish, round 1
When those finishes came

This is a base rate over similar past matchups, not a prediction about these two fighters. It is drawn from what happened historically, and the profile is blind to which corner is which — so it can say how fights like this one tend to go, and nothing at all about who wins.

Fights with a similar mismatch

Every fighter is reduced to a profile of 37 career measures as they stood going into the fight, standardised so that no single measure dominates merely for having bigger units — a far wider read than the six charted below. The bout is then described by the gap between the two: how far apart they were on each of those measures, setting aside which one was ahead. The fights listed here are those whose gaps line up most closely with this one. Because the match is on the shape of a mismatch rather than on a weight class or an era, a neighbour can come from an entirely different division.

Fight Nora Cornolle Klaudia Sygula
64% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Feb 20, 2010
UFC 110: Nogueira vs Velasquez
Welterweight
Chris Lytle Winner
Finish 1st Rnd, 1m41s
Fight Performance
Strikes (Per Rnd)
2
Strike accuracy
14.3%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
0s
Fight Performance
Strikes (Per Rnd)
5
Strike accuracy
22.7%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
15s
61% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Apr 16, 2022
UFC Fight Night: Luque vs. Muhammad
Women's Bantamweight
Fight Performance
Strikes (Per Rnd)
13
Strike accuracy
44.3%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
47.7s
Pannie Kianzad Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
26
Strike accuracy
48.8%
Takedowns (Per Rnd)
0.3
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
90.3s
61% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Oct 26, 2024
UFC 308: Topuria vs. Holloway
Welterweight
Fight Performance
Strikes (Per Rnd)
4
Strike accuracy
30.8%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Geoff Neal Winner
Finish 1st Rnd, 1m30s
Fight Performance
Strikes (Per Rnd)
18
Strike accuracy
60%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
27s
60% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Feb 4, 2023
UFC Fight Night: Lewis vs. Spivac
Heavyweight
Fight Performance
Strikes (Per Rnd)
0
Strike accuracy
0%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Serghei Spivac Winner
Finish 1st Rnd, 3m05s
Fight Performance
Strikes (Per Rnd)
12
Strike accuracy
57.1%
Takedowns (Per Rnd)
6
Takedown accuracy
75%
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
152s
60% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Mar 18, 2017
UFC Fight Night: Manuwa vs. Anderson
Middleweight
Fight Performance
Strikes (Per Rnd)
28.7
Strike accuracy
44.1%
Takedowns (Per Rnd)
0.3
Takedown accuracy
33.3%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
8.7s
Brad Scott Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
24
Strike accuracy
41.1%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
25s
60% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Feb 11, 2017
UFC 208: Holm vs. De Randamie
Middleweight
Anderson Silva Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
14.3
Strike accuracy
55.1%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Fight Performance
Strikes (Per Rnd)
18
Strike accuracy
53.5%
Takedowns (Per Rnd)
0.7
Takedown accuracy
20%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
76s
59% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Jun 9, 2018
UFC 225: Whittaker vs. Romero 2
Heavyweight
Fight Performance
Strikes (Per Rnd)
2.3
Strike accuracy
58.3%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0.7
Control time (Per Rnd)
0s
Curtis Blaydes Winner
Finish 3rd Rnd, 2m56s
Fight Performance
Strikes (Per Rnd)
12.3
Strike accuracy
69.8%
Takedowns (Per Rnd)
1.3
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
155.7s
59% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Aug 26, 2023
UFC Fight Night: Holloway vs. The Korean Zombie
Bantamweight
Garrett Armfield Winner
Finish 1st Rnd, 4m16s
Fight Performance
Strikes (Per Rnd)
45
Strike accuracy
58.4%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
26s
Fight Performance
Strikes (Per Rnd)
15
Strike accuracy
48.4%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
59% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Jun 20, 2026
UFC Fight Night: Kape vs. Horiguchi
Featherweight
Gaston Bolanos Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
29
Strike accuracy
45.1%
Takedowns (Per Rnd)
0.3
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
7.3s
Fight Performance
Strikes (Per Rnd)
35
Strike accuracy
41.7%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
22s
59% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Apr 23, 2022
UFC Fight Night: Lemos vs. Andrade
Lightweight
Fight Performance
Strikes (Per Rnd)
3
Strike accuracy
75%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
70s
Claudio Puelles Winner
Finish 1st Rnd, 3m01s
Fight Performance
Strikes (Per Rnd)
1
Strike accuracy
33.3%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
2
Control time (Per Rnd)
14s
58% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Jan 20, 2021
UFC Fight Night: Chiesa vs. Magny
Flyweight
Fight Performance
Strikes (Per Rnd)
19.3
Strike accuracy
30.1%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Matt Schnell Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
28.3
Strike accuracy
39.7%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
58% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Aug 13, 2022
UFC Fight Night: Vera vs. Cruz
Flyweight
Tyson Nam Winner
Finish 1st Rnd, 2m59s
Fight Performance
Strikes (Per Rnd)
13
Strike accuracy
52%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
3s
Fight Performance
Strikes (Per Rnd)
15
Strike accuracy
36.6%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
58% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Jul 7, 2012
UFC 148: Silva vs Sonnen 2
Bantamweight
Fight Performance
Strikes (Per Rnd)
13.3
Strike accuracy
27%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Mike Easton Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
15.3
Strike accuracy
27.2%
Takedowns (Per Rnd)
0.3
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
16s
58% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Jun 8, 2019
UFC 238: Cejudo vs. Moraes
Featherweight
Fight Performance
Strikes (Per Rnd)
12
Strike accuracy
41.4%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Calvin Kattar Winner
Finish 1st Rnd, 4m06s
Fight Performance
Strikes (Per Rnd)
22
Strike accuracy
53.7%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2s
57% How closely the gap between these two fighters resembles the gap in that historical bout — the size and shape of the mismatch, not the fighters themselves. Two completely different pairs can produce the same mismatch. 100% would be an identical gap; two fights picked at random score about 36%, so a number near that means there is no real comparable on record. Match
Mar 18, 2017
UFC Fight Night: Manuwa vs. Anderson
Light Heavyweight
Jimi Manuwa Winner
Finish 1st Rnd, 3m05s
Fight Performance
Strikes (Per Rnd)
6
Strike accuracy
46.2%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1s
Fight Performance
Strikes (Per Rnd)
6
Strike accuracy
22.2%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s

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Tale of the Tape

Stat Nora Cornolle Klaudia Sygula
Career Record 9-4 8-2
Height 5' 7" 5' 8"
Weight 135 lbs. 135 lbs.
Reach 67" 69"
Stance Orthodox Orthodox
Age 36 27

Records are official career records, all promotions included.

Head-to-Head Statistics

The same per-round and advanced numbers each fighter's profile shows, side by side. The stronger value in each row is highlighted.

Stat Nora Cornolle Klaudia Sygula
Per Round Average
Strikes 12.3 33
Strike accuracy 55.1% 48.2%
Takedowns 0.1 0.1
Takedown accuracy 11.1% 12.5%
Sub attempts 0.1 0
Control time 34.2s 24.9s
Knockdowns 0.07 0
Knockdowns absorbed 0 0
Advanced Fighter Statistics
win rate Wins divided by this fighter's total recorded fights. 75.0% 66.7%
recent win rate Win rate over the last 5 recorded fights only — a form signal, not a career figure. 40.0% 80.0%
win streak Current run: a positive number is consecutive wins, a negative number consecutive losses. -2 2
total fights Total recorded fights, including bouts outside the UFC. 12 6
head strike share Share of this fighter's landed significant strikes that went to the head. Head, body and leg sum to 100%. 39.5% 71.6%
body strike share Share of this fighter's landed significant strikes that went to the body. Head, body and leg sum to 100%. 31.4% 17.4%
leg strike share Share of this fighter's landed significant strikes that went to the legs. Head, body and leg sum to 100%. 29.2% 11.0%
sig strikes absorbed Significant strikes opponents land on this fighter PER ROUND, counted from the round-by-round UFC stats across their scored rounds. Lower is better. 9.2 25
takedowns absorbed Takedowns opponents complete on this fighter PER ROUND, counted from the round-by-round UFC stats across their scored rounds. Lower is better. 0.73 0.38
cardio sig ratio This fighter's significant strikes landed in the LATER rounds divided by the EARLIER rounds. 1.0 is neutral: above it their output grows late, below it they fade. Shown only for fighters with at least 3 UFC bouts on record. 0.47 0.56
cardio defence ratio What OPPONENTS land on this fighter in the LATER rounds divided by what they land in the EARLIER rounds. 1.0 is neutral. LOWER is better — a high value means opponents find them more as the fight wears on. Shown only for fighters with at least 3 UFC bouts on record. 0.9 0.51
cardio takedown ratio This fighter's takedowns in the LATER rounds divided by the EARLIER rounds. 1.0 is neutral. Shown only for fighters with at least 3 UFC bouts on record. 0 5.000
is orthodox Whether the fighter's recorded stance is orthodox. Yes Yes
is southpaw Whether the fighter's recorded stance is southpaw. No No
switch stance Whether the fighter is recorded as switching stance. No No
finish rate Share of this fighter's WINS that came by finish, KO/TKO or submission. The denominator is wins, not fights. 88.9% 25.0%
KO win rate Share of this fighter's WINS that came by KO or TKO. The denominator is wins, not fights. 66.7% 25.0%
sub win rate Share of this fighter's WINS that came by submission. The denominator is wins, not fights. 22.2% 0.0%
been stopped rate Share of this fighter's LOSSES that ended by finish — the denominator is LOSSES, not fights. A fighter who is 20-1 whose single loss was a KO therefore reads 100%. 33.3% 50.0%
distance strike share Share of this fighter's landed significant strikes thrown at distance. Distance, clinch and ground sum to 100%. 57.8% 96.6%
clinch strike share Share of this fighter's landed significant strikes thrown in the clinch. Distance, clinch and ground sum to 100%. 41.1% 2.3%
ground strike share Share of this fighter's landed significant strikes thrown on the ground. Distance, clinch and ground sum to 100%. 1.1% 1.1%
avg fight duration (m:ss) Mean length of this fighter's UFC fights, in minutes and seconds. "—" means we hold no round-time data for them. 11:17 12:07
Elo rating A UFC-only Elo rating: it rises and falls with results, weighted by the opponent's rating. 1500 is the starting and dataset-average value. 1,500.9 1,515.8
PageRank How central this fighter is in the network of who-fought-whom. It reflects the quality of opposition they have shared a cage with, not their skill. 0.077 0.023
career stage Form over the last 4 fights before this one: 3 or more wins reads Peak, 2 or fewer reads Decline, and fewer than 4 prior fights reads Early. Decline Peak

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