FightChoice Intelligence Report

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Ateba Gautier vs Roman Kopylov

https://fightchoice.app/events/ateba-gautier-vs-roman-kopylov-prediction-2026-10-03

Middleweight

UFC 332: Silva vs. Wang · Oct 3, 2026

In This Report

Prediction Intel

Stats Model Prediction

🔒 Prediction locked in before the fight · Predicted Sep 12, 2026, 00:05 UTC

Model Breakdown
Ateba Gautier Roman Kopylov
Deep Learning Model α 20% weight 49.0% 51.0%
Deep Learning Model ξ 22% weight 67.8% 32.2%
Statistical Model δ 20% weight 68.4% 31.6%
Statistical Model β 20% weight 82.5% 17.5%
Statistical Model ε 18% weight 75.9% 24.1%
Ensemble 77.2% 22.8%
AI Reasoning (why the models picked this)

The ensemble prediction favors Ateba Gautier, driven by a significant age advantage and Ateba Gautier's superior win rate across multiple models. Despite some models noting Roman Kopylov's stance or striking absorption, the combined prediction leans heavily towards Ateba Gautier due to consistent positive indicators.

  • Statistical Model β: Model β favors Ateba Gautier, citing Ateba Gautier's better win rate and both fighters being past their prime.
  • Statistical Model ε: Model ε favors Ateba Gautier, noting the reach advantage and age difference, despite Roman Kopylov's orthodox stance being a slight negative.

AI-generated from the model outputs above — wording may occasionally be imprecise.

Predicted Winner
Ateba Gautier
77.2%
Confidence
* Model output, not betting advice. Bet responsibly.
Predicted Duration
1st Round at 3m45s (3m45s total)

Chance the Fight Is Still Going

39% Chance of Decision

The dashed line is 50%. The round where the curve crosses it is the round named above — the midpoint of the distribution, not necessarily its single most likely outcome.

Path To Victory
Fighter By decision *Based on 82 similar fights By KO/TKO *Based on 82 similar fights By submission *Based on 82 similar fights Win Confidence *Based on our prediction
Ateba Gautier 38.6% 27.3% 11.3% 77.2%
Roman Kopylov 11.4% 8.1% 3.3% 22.8%
82 historical bouts 50.0% 35.4% 14.6% 100.0%
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Matchup Intel

How Similar Fights Ended

82 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 82 bouts in this bout's profile actually ended.

50% Reached the judges
50% Ended early
35% KO/TKO 15% Submission 6:02 Median finish, round 2
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 Ateba Gautier Roman Kopylov
68% 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 6, 2024
UFC Fight Night: Allen vs. Curtis 2
Middleweight
Fight Performance
Strikes (Per Rnd)
0.5
Strike accuracy
20%
Takedowns (Per Rnd)
1.5
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
176.5s
Cesar Almeida Winner
Finish 2nd Rnd, 2m13s
Fight Performance
Strikes (Per Rnd)
14.5
Strike accuracy
76.3%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
6s
68% 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
May 19, 2018
UFC Fight Night: Maia vs. Usman
Welterweight
Kamaru Usman Winner
Decision 5th Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
13.2
Strike accuracy
31.6%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
51.6s
Fight Performance
Strikes (Per Rnd)
5.4
Strike accuracy
31%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
24.2s
67% 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 7, 2023
UFC Fight Night: Dawson vs. Green
Featherweight
Bill Algeo Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
36.7
Strike accuracy
45.1%
Takedowns (Per Rnd)
0.3
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2.3s
Fight Performance
Strikes (Per Rnd)
25
Strike accuracy
48.1%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
11.7s
67% 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
May 11, 2019
UFC 237: Namajunas vs. Andrade
Middleweight
Jared Cannonier Winner
Finish 1st Rnd, 4m47s
Fight Performance
Strikes (Per Rnd)
17
Strike accuracy
54.8%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
9s
Fight Performance
Strikes (Per Rnd)
8
Strike accuracy
53.3%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
66% 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 1, 2019
UFC Fight Night: Gustafsson vs. Smith
Lightweight
Fight Performance
Strikes (Per Rnd)
2
Strike accuracy
18.2%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Leonardo Santos Winner
Finish 1st Rnd, 2m17s
Fight Performance
Strikes (Per Rnd)
12
Strike accuracy
75%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1s
66% 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 13, 2020
UFC Fight Night: Eye vs. Calvillo
Lightweight
Charles Rosa Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
23
Strike accuracy
39.9%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Fight Performance
Strikes (Per Rnd)
17.7
Strike accuracy
39.3%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1.3s
66% 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 13, 2021
UFC 258: Usman vs. Burns
Welterweight
Kamaru Usman Winner
Finish 3rd Rnd, 0m34s
Fight Performance
Strikes (Per Rnd)
27.7
Strike accuracy
61%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
41.7s
Fight Performance
Strikes (Per Rnd)
15
Strike accuracy
41.7%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
66% 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
Sep 16, 2023
Noche UFC: Grasso vs. Shevchenko 2
Featherweight
Kyle Nelson Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
27.3
Strike accuracy
44.6%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Fight Performance
Strikes (Per Rnd)
24
Strike accuracy
34.6%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2.3s
66% 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 3, 2018
UFC Fight Night: Machida vs. Anders
Flyweight
Fight Performance
Strikes (Per Rnd)
4.5
Strike accuracy
28.1%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Finish 2nd Rnd, 4m34s
Fight Performance
Strikes (Per Rnd)
15.5
Strike accuracy
50%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0.5
Control time (Per Rnd)
181.5s
65% 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
Nov 18, 2023
UFC Fight Night: Allen vs. Craig
Welterweight
Fight Performance
Strikes (Per Rnd)
7
Strike accuracy
51.9%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1s
Myktybek Orolbai Winner
Finish 2nd Rnd, 4m12s
Fight Performance
Strikes (Per Rnd)
4
Strike accuracy
40%
Takedowns (Per Rnd)
3.5
Takedown accuracy
70%
Sub attempts (Per Rnd)
0.5
Control time (Per Rnd)
223s
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
Dec 29, 2012
UFC 155: Dos Santos vs Velasquez II
Featherweight
Max Holloway Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
40
Strike accuracy
44.6%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2.7s
Fight Performance
Strikes (Per Rnd)
29.7
Strike accuracy
24.8%
Takedowns (Per Rnd)
0.7
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
32.3s
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
Apr 27, 2024
UFC Fight Night: Nicolau vs. Perez
Welterweight
Uros Medic Winner
Finish 1st Rnd, 2m09s
Fight Performance
Strikes (Per Rnd)
7
Strike accuracy
58.3%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
4s
Fight Performance
Strikes (Per Rnd)
7
Strike accuracy
41.2%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
78s
63% 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 11, 2025
UFC Fight Night: Oliveira vs. Gamrot
Women's Strawweight
Julia Polastri Winner
Finish 3rd Rnd, 2m56s
Fight Performance
Strikes (Per Rnd)
45.7
Strike accuracy
54.2%
Takedowns (Per Rnd)
0
Takedown accuracy
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
15.3s
Fight Performance
Strikes (Per Rnd)
24
Strike accuracy
37.5%
Takedowns (Per Rnd)
0.3
Takedown accuracy
25%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
10.3s
62% 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 28, 2026
UFC Fight Night: Moreno vs. Kavanagh
Women's Bantamweight
Ailin Perez Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
9
Strike accuracy
71.1%
Takedowns (Per Rnd)
2
Takedown accuracy
60%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
152s
Fight Performance
Strikes (Per Rnd)
2.7
Strike accuracy
34.8%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
77s
62% 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 22, 2020
UFC Fight Night: Felder vs. Hooker
Lightweight
Dan Hooker Winner
Decision 5th Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
24.4
Strike accuracy
55.2%
Takedowns (Per Rnd)
0.2
Takedown accuracy
20%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
61s
Fight Performance
Strikes (Per Rnd)
22
Strike accuracy
47.8%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0.6s

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Tale of the Tape

Tale of the Tape

Stat Ateba Gautier Roman Kopylov
Career Record 11-1 15-5
Height 6' 4" 6' 0"
Weight 185 lbs. 185 lbs.
Reach 81" 75"
Stance Switch Southpaw
Age 24 35

Records are official career records, all promotions included.

Statistics Intel

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 Ateba Gautier Roman Kopylov
Per Round Average
Strikes 13.8 20.9
Strike accuracy 37.5% 50.2%
Takedowns 0.1 0.3
Takedown accuracy 100% 50%
Sub attempts 0 0
Control time 0.6s 25s
Knockdowns 0.75 0.28
Knockdowns absorbed 0 0.03
Advanced Fighter Statistics
win rate Wins divided by this fighter's total recorded fights. 91.7% 75.0%
recent win rate Win rate over the last 5 recorded fights only — a form signal, not a career figure. 100.0% 60.0%
win streak Current run: a positive number is consecutive wins, a negative number consecutive losses. 10 1
total fights Total recorded fights, including bouts outside the UFC. 12 20
head strike share Share of this fighter's landed significant strikes that went to the head. Head, body and leg sum to 100%. 75.5% 66.0%
body strike share Share of this fighter's landed significant strikes that went to the body. Head, body and leg sum to 100%. 20.9% 19.2%
leg strike share Share of this fighter's landed significant strikes that went to the legs. Head, body and leg sum to 100%. 3.6% 14.8%
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. 10.5 23.34
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 0.16
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. 0.15 0.7
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. 0.38 0.62
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 1.25
is orthodox Whether the fighter's recorded stance is orthodox. No No
is southpaw Whether the fighter's recorded stance is southpaw. No Yes
switch stance Whether the fighter is recorded as switching stance. Yes No
finish rate Share of this fighter's WINS that came by finish, KO/TKO or submission. The denominator is wins, not fights. 81.8% 80.0%
KO win rate Share of this fighter's WINS that came by KO or TKO. The denominator is wins, not fights. 81.8% 80.0%
sub win rate Share of this fighter's WINS that came by submission. The denominator is wins, not fights. 0.0% 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%. 0.0% 40.0%
distance strike share Share of this fighter's landed significant strikes thrown at distance. Distance, clinch and ground sum to 100%. 84.5% 91.9%
clinch strike share Share of this fighter's landed significant strikes thrown in the clinch. Distance, clinch and ground sum to 100%. 10.9% 3.9%
ground strike share Share of this fighter's landed significant strikes thrown on the ground. Distance, clinch and ground sum to 100%. 4.5% 4.2%
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. 5:31 12:16
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. 1,571.2 1,536.1
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. 0.101 0.270
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. Peak Decline

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