FightChoice Intelligence Report

Priscila Cachoeira
vs
Nina Milosevic

Priscila Cachoeira vs Nina Milosevic

https://fightchoice.app/events/priscila-cachoeira-vs-nina-milosevic-prediction-2026-11-07

Women's Bantamweight

UFC Fight Night: Bonfim vs. Brady · Nov 7, 2026

In This Report

The Fight StoryClick here to expandThe story behind the stats.

As Priscila Cachoeira prepares to face Nina Milosevic at UFC Fight Night: Bonfim vs. Brady, the octagon will witness a clash of experience versus youth in the Women's Bantamweight division. With a record of 5-9, Cachoeira has had her share of ups and downs, showcasing an aggressive fighting style that has earned her an 80% finish rate in her victories, primarily through knockouts. In contrast, Milosevic, a fresh face with a record of 1-0, is stepping into the spotlight at just 30 years old, riding a perfect streak that boasts a staggering 91.3% win rate.

Cachoeira's statistics reveal that she lands 18.9 significant strikes per round, but Milosevic has a slight edge with 21.0, demonstrating her striking accuracy at 53.8% compared to Cachoeira’s 44.4%. This showdown has shades of the underdog narrative seen in fights like Roxanne Modafferi’s surprising win against Maycee Barber, where experience and grit triumphed over youth and talent. As they both weigh in at 135 lbs, expect Cachoeira's vast experience to clash with Milosevic's momentum, making this a must-see matchup for fans eager to see if age and experience can outmatch a rising star.

#PriscilaCachoeira #NinaMilosevic #UFCFightNight #WomensBantamweight #UFC #MMA

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Prediction IntelClick here to expandOur call — and the case for it.

Stats Model Prediction

🔒 Prediction locked in before the fight · Predicted Oct 17, 2026, 00:04 UTC

Model Breakdown
Priscila Cachoeira Nina Milosevic
Deep Learning Model α 26% weight 51.0% 49.0%
Deep Learning Model ξ 25% weight 52.0% 48.0%
Statistical Model δ 13% weight 20.8% 79.2%
Statistical Model β 21% weight 17.5% 82.5%
Statistical Model ε 15% weight 24.8% 75.2%
Ensemble 25.5% 74.5%
AI Reasoning (why the models picked this)

Nina Milosevic is favored by the ensemble prediction, driven by strong indicators like Priscila Cachoeira's past prime status and higher significant strikes absorbed. Several models also highlight Nina Milosevic's advantages in age and win rate. The ensemble favors Nina Milosevic (74%), despite some individual models noting Priscila Cachoeira's reach and clinch strike share advantages.

  • Statistical Model β: Model β favors Nina Milosevic, citing her advantage in past prime, win rate, and age over Priscila Cachoeira.
  • Statistical Model ε: Model ε favors Nina Milosevic, highlighting Priscila Cachoeira's significant strikes absorbed and Elo rating disadvantage, along with a height edge.

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

Predicted Winner
Nina Milosevic
74.5%
Confidence
* Model output, not betting advice. Bet responsibly.

*New fighters, prediction made with limited information

Predicted Duration
1st Round at 1m15s (1m15s total)

Chance the Fight Is Still Going

47% 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.

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Fighter IntelClick here to expandEach fighter's skill profile and career trajectory, visualized side by side.

Tale of the Tape

Stat Priscila Cachoeira Nina Milosevic
UFC Record 5-9 1-0
Height 5' 7" —
Weight 135 lbs. 135 lbs.
Reach 65" —
Stance Orthodox —
Age 38 30

Records count UFC bouts only (wins-losses-no contests) — we have no verified pre-UFC record for both of these fighters.

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Matchup IntelClick here to expandPast fights with a similar statistical shape, plus how fights like this one typically end.

How Similar Fights Ended

18 historical bouts

Not enough similar fights on record to quote a rate for this profile.

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 Priscila Cachoeira Nina Milosevic
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
Jan 18, 2020
UFC 246: McGregor vs. Cowboy
Women's Flyweight
Roxanne Modafferi Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
6.3
Strike accuracy
44.2%
Takedowns (Per Rnd)
0.3
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
210.7s
Maycee Barber
Fight Performance
Strikes (Per Rnd)
5.3
Strike accuracy
51.6%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0.3
Control time (Per Rnd)
45.7s
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
Dec 3, 2022
UFC Fight Night: Thompson vs. Holland
Featherweight
Darren Elkins
Fight Performance
Strikes (Per Rnd)
19
Strike accuracy
29.5%
Takedowns (Per Rnd)
0.7
Takedown accuracy
40%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
16s
Jonathan Pearce Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
36.7
Strike accuracy
49.5%
Takedowns (Per Rnd)
0.7
Takedown accuracy
28.6%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
71s
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
Jan 20, 2024
UFC 297: Strickland vs. Du Plessis
Middleweight
Sean Strickland
Fight Performance
Strikes (Per Rnd)
34.6
Strike accuracy
42.4%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Dricus Du Plessis Winner
Decision 5th Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
27.4
Strike accuracy
38.7%
Takedowns (Per Rnd)
1.2
Takedown accuracy
54.5%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
25.6s
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
Feb 8, 2025
UFC 312: Du Plessis vs. Strickland 2
Middleweight
Sean Strickland
Fight Performance
Strikes (Per Rnd)
25.6
Strike accuracy
48.7%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Dricus Du Plessis Winner
Decision 5th Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
29.4
Strike accuracy
46.8%
Takedowns (Per Rnd)
0.2
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1s
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
Jul 15, 2023
UFC Fight Night: Holm vs. Bueno Silva
Women's Bantamweight
Ashlee Evans-Smith
Fight Performance
Strikes (Per Rnd)
4
Strike accuracy
25.5%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2.7s
Ailin Perez Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
20
Strike accuracy
57.7%
Takedowns (Per Rnd)
3.3
Takedown accuracy
66.7%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
232s
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
Aug 22, 2020
UFC Fight Night: Munhoz vs. Edgar
Women's Flyweight
Shana Dobson Winner
Finish 2nd Rnd, 1m38s
Fight Performance
Strikes (Per Rnd)
12
Strike accuracy
66.7%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
75s
Mariya Agapova
Fight Performance
Strikes (Per Rnd)
11
Strike accuracy
47.8%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
95.5s
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
Dec 16, 2023
UFC 296: Edwards vs. Covington
Lightweight
Tony Ferguson
Fight Performance
Strikes (Per Rnd)
20.7
Strike accuracy
59%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Paddy Pimblett Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
35.3
Strike accuracy
64.2%
Takedowns (Per Rnd)
0.3
Takedown accuracy
25%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
177.7s
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
Jul 13, 2016
UFC Fight Night: McDonald vs. Lineker
Women's Strawweight
Cortney Casey Winner
Finish 1st Rnd, 2m36s
Fight Performance
Strikes (Per Rnd)
19
Strike accuracy
67.9%
Takedowns (Per Rnd)
2
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
57s
Cristina Stanciu
Fight Performance
Strikes (Per Rnd)
5
Strike accuracy
41.7%
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
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
Fernando Padilla
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
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
Jan 18, 2025
UFC 311: Makhachev vs. Moicano
Bantamweight
Raoni Barcelos Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
20.7
Strike accuracy
72.9%
Takedowns (Per Rnd)
2.7
Takedown accuracy
53.3%
Sub attempts (Per Rnd)
0.7
Control time (Per Rnd)
194.3s
Payton Talbott
Fight Performance
Strikes (Per Rnd)
16.3
Strike accuracy
58.3%
Takedowns (Per Rnd)
0.3
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
28.3s
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
Apr 25, 2026
UFC Fight Night: Sterling vs. Zalal
Lightweight
Francis Marshall Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
11
Strike accuracy
47.8%
Takedowns (Per Rnd)
0.7
Takedown accuracy
66.7%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
132s
Lucas Brennan
Fight Performance
Strikes (Per Rnd)
3
Strike accuracy
25%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0.3
Control time (Per Rnd)
15.7s
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
Jul 8, 2023
UFC 290: Volkanovski vs. Rodriguez
Middleweight
Robert Whittaker
Fight Performance
Strikes (Per Rnd)
15.5
Strike accuracy
44.3%
Takedowns (Per Rnd)
0.5
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
11.5s
Dricus Du Plessis Winner
Finish 2nd Rnd, 2m23s
Fight Performance
Strikes (Per Rnd)
31
Strike accuracy
59.6%
Takedowns (Per Rnd)
0.5
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
28.5s
56% 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, 2024
UFC Fight Night: Dolidze vs. Imavov
Women's Flyweight
Viviane Araujo
Fight Performance
Strikes (Per Rnd)
8.7
Strike accuracy
38.8%
Takedowns (Per Rnd)
0.3
Takedown accuracy
11.1%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
120.3s
Natalia Silva Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
12.7
Strike accuracy
29.7%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
56% 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 13, 2025
UFC Fight Night: Royval vs. Kape
Featherweight
Giga Chikadze
Fight Performance
Strikes (Per Rnd)
6
Strike accuracy
54.5%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Kevin Vallejos Winner
Finish 2nd Rnd, 1m29s
Fight Performance
Strikes (Per Rnd)
10
Strike accuracy
62.5%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
44s
56% 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 8, 2025
UFC Fight Night: Bonfim vs. Brown
Flyweight
Matt Schnell
Fight Performance
Strikes (Per Rnd)
4
Strike accuracy
36.4%
Takedowns (Per Rnd)
1
Takedown accuracy
100%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
15s
Joseph Morales Winner
Finish 1st Rnd, 2m54s
Fight Performance
Strikes (Per Rnd)
5
Strike accuracy
45.5%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
72s

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Statistics IntelClick here to expandA full head-to-head stat comparison — per-round output and career tendencies — against the UFC average.

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 Priscila Cachoeira Nina Milosevic UFC AVG
Per Round Average
Strikes 18.9 21 13.2
Strike accuracy 44.4% 53.8% 43.9%
Takedowns 0.1 0 0.4
Takedown accuracy 50% 0% 33.0%
Sub attempts 0 0 0.2
Control time 6.3s 0s 48.9s
Knockdowns 0.11 1 0.08
Knockdowns absorbed 0.14 0 0.13
Advanced Fighter Statistics
win rate Wins divided by this fighter's total recorded fights. 35.7% 91.3% 45.8%
recent win rate Win rate over the last 5 recorded fights only — a form signal, not a career figure. 20.0% 100.0% 37.6%
win streak Current run: a positive number is consecutive wins, a negative number consecutive losses. -3 9 -2
total fights Total recorded fights, including bouts outside the UFC. 14 23 —
head strike share Share of this fighter's landed significant strikes that went to the head. Head, body and leg sum to 100%. 74.6% 66.7% —
body strike share Share of this fighter's landed significant strikes that went to the body. Head, body and leg sum to 100%. 16.3% 33.3% —
leg strike share Share of this fighter's landed significant strikes that went to the legs. Head, body and leg sum to 100%. 9.1% 0.0% —
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. 32.32 13 15.2
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. 0.5 0 0.4
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. 0.75 — 0.52
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. 0.71 — 0.56
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 — 0.42
is orthodox Whether the fighter's recorded stance is orthodox. Yes No —
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. 80.0% 66.7% 46.5%
KO win rate Share of this fighter's WINS that came by KO or TKO. The denominator is wins, not fights. 80.0% 47.6% 27.9%
sub win rate Share of this fighter's WINS that came by submission. The denominator is wins, not fights. 0.0% 19.0% 18.7%
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%. 66.7% 0.0% 52.3%
distance strike share Share of this fighter's landed significant strikes thrown at distance. Distance, clinch and ground sum to 100%. 87.5% 76.2% —
clinch strike share Share of this fighter's landed significant strikes thrown in the clinch. Distance, clinch and ground sum to 100%. 8.0% 23.8% —
ground strike share Share of this fighter's landed significant strikes thrown on the ground. Distance, clinch and ground sum to 100%. 4.5% 0.0% —
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. 8:40 3:41 —
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. 1,448.6 1,513.9 1500
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. 0.057 0.102 0.069
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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