FightChoice Intelligence Report

vs

Amir Albazi vs Alessandro Costa

https://fightchoice.app/events/amir-albazi-vs-alessandro-costa-prediction-2026-11-21

Flyweight

UFC Fight Night: Procházka vs. Stirling · Nov 21, 2026

In This Report

The Fight StoryClick here to expand

As Amir Albazi steps into the octagon against Alessandro Costa at UFC Fight Night: Procházka vs. Stirling, the stakes couldn't be higher for both flyweights. With Albazi sporting a solid 17-3 record and holding a slight height and reach advantage at 5'5" and 68 inches, he brings a wealth of experience to the bout. However, Costa, at 17-5, is riding high on a three-fight win streak, showcasing a recent win rate of 80% that outshines Albazi's 60%. This matchup has shades of 2021's clash between Rob Font and Cody Garbrandt, where the fighter on the upswing capitalized on their momentum.

The dynamics of their fighting styles further add intrigue. While Albazi excels in control time with 70.4 seconds per round, Costa boasts a striking accuracy of 49.3%, significantly surpassing Albazi's 33.8%. Both fighters have a penchant for finishing fights, with Costa's finish rate at an impressive 82.4% compared to Albazi's 80%. With a notable odds gap highlighting Costa as the favorite, fans can expect a thrilling contest that will test both fighters’ wills and tactics.

#AmirAlbazi #AlessandroCosta #UFCFightNight #Flyweight #UFC #MMA

Copy for Facebook Copy for Twitter/X

Prediction IntelClick here to expand

Stats Model Prediction

🔒 Prediction locked in before the fight · Predicted Oct 31, 2026, 00:03 UTC

Model Breakdown
Amir Albazi Alessandro Costa
Deep Learning Model α 26% weight 49.0% 51.0%
Deep Learning Model ξ 25% weight 43.6% 56.4%
Statistical Model δ 13% weight 48.7% 51.3%
Statistical Model β 21% weight 42.0% 58.0%
Statistical Model ε 15% weight 45.3% 54.7%
Ensemble 43.8% 56.2%
AI Reasoning (why the models picked this)

The ENSEMBLE prediction favors Alessandro Costa, driven by Alessandro Costa's win streak and significant strike accuracy advantage. Despite some models noting Amir Albazi's reach and southpaw stance, Alessandro Costa's consistent edge in striking volume and win rate across multiple models solidifies the combined prediction.

  • Statistical Model β: Model β favors Alessandro Costa, citing Alessandro Costa's past prime status and a favorable recent win rate difference.
  • Statistical Model ε: Model ε favors Alessandro Costa, pointing to Alessandro Costa's height and a higher volume of significant strikes landed by Alessandro Costa.

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

Predicted Winner
Alessandro Costa
56.2%
Confidence
* Model output, not betting advice. Bet responsibly.
Predicted Duration
Decision (15m00s total)

Chance the Fight Is Still Going

58% 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 288 similar fights By KO/TKO *Based on 288 similar fights By submission *Based on 288 similar fights Win Confidence *Based on our prediction
Amir Albazi 23.1% 13.4% 7.3% 43.8%
Alessandro Costa 29.6% 17.2% 9.4% 56.2%
288 historical bouts 52.8% 30.6% 16.7% 100.0%
Share This Intel Report
Fighter IntelClick here to expand

Tale of the Tape

Stat Amir Albazi Alessandro Costa
Career Record 17-3 17-5
Height 5' 5" 5' 4"
Weight 125 lbs. 125 lbs.
Reach 68" 67"
Stance Orthodox Orthodox
Age 33 30

Records are official career records, all promotions included.

Export as Image

Matchup IntelClick here to expand

How Similar Fights Ended

288 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 288 bouts in this bout's profile actually ended.

53% Reached the judges
47% Ended early
31% KO/TKO 17% Submission 4:45 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 Amir Albazi Alessandro Costa
82% 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 22, 2021
UFC Fight Night: Font vs. Garbrandt
Bantamweight
Rob Font Winner
Decision 5th Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
35.2
Strike accuracy
48.2%
Takedowns (Per Rnd)
0.4
Takedown accuracy
66.7%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
14.6s
Fight Performance
Strikes (Per Rnd)
12.6
Strike accuracy
44.4%
Takedowns (Per Rnd)
0.6
Takedown accuracy
30%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
36.4s
80% 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 5, 2017
UFC Fight Night: Pettis vs. Moreno
Flyweight
Dustin Ortiz Winner
Finish 1st Rnd, 0m15s
Fight Performance
Strikes (Per Rnd)
8
Strike accuracy
80%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2s
Fight Performance
Strikes (Per Rnd)
1
Strike accuracy
16.7%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
80% 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 13, 2025
Noche UFC: Lopes vs. Silva
Featherweight
Diego Lopes Winner
Finish 2nd Rnd, 4m48s
Fight Performance
Strikes (Per Rnd)
37
Strike accuracy
54.8%
Takedowns (Per Rnd)
1.5
Takedown accuracy
75%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
80s
Fight Performance
Strikes (Per Rnd)
21.5
Strike accuracy
47.3%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1.5s
79% 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, 2013
UFC on FUEL TV: Mousasi vs Latifi
Featherweight
Fight Performance
Strikes (Per Rnd)
4
Strike accuracy
28.6%
Takedowns (Per Rnd)
1
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Diego Brandao Winner
Finish 1st Rnd, 3m27s
Fight Performance
Strikes (Per Rnd)
9
Strike accuracy
50%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
100s
79% 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 11, 2015
UFC 189: Mendes vs McGregor
Flyweight
Fight Performance
Strikes (Per Rnd)
7
Strike accuracy
48.8%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
11.3s
Louis Smolka Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
7.7
Strike accuracy
51.1%
Takedowns (Per Rnd)
2
Takedown accuracy
60%
Sub attempts (Per Rnd)
1.7
Control time (Per Rnd)
240s
77% 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
Welterweight
Phil Rowe Winner
Finish 3rd Rnd, 3m26s
Fight Performance
Strikes (Per Rnd)
21
Strike accuracy
45.3%
Takedowns (Per Rnd)
0.3
Takedown accuracy
50%
Sub attempts (Per Rnd)
0.7
Control time (Per Rnd)
29.7s
Fight Performance
Strikes (Per Rnd)
36.7
Strike accuracy
44.5%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
29.7s
77% 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 5, 2012
UFC on FX: Browne vs Bigfoot
Welterweight
Justin Edwards Winner
Finish 1st Rnd, 0m45s
Fight Performance
Strikes (Per Rnd)
6
Strike accuracy
85.7%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
1
Control time (Per Rnd)
8s
Fight Performance
Strikes (Per Rnd)
0
Strike accuracy
—
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
20s
77% 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 23, 2014
UFC Fight Night: Shogun vs Henderson 2
Featherweight
Rony Jason Winner
Finish 1st Rnd, 1m17s
Fight Performance
Strikes (Per Rnd)
3
Strike accuracy
37.5%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
1s
Fight Performance
Strikes (Per Rnd)
11
Strike accuracy
50%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
77% 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 17, 2018
UFC Fight Night: Werdum vs. Volkov
Welterweight
Fight Performance
Strikes (Per Rnd)
5.3
Strike accuracy
37.2%
Takedowns (Per Rnd)
0.3
Takedown accuracy
25%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
21.3s
Leon Edwards Winner
Finish 3rd Rnd, 4m59s
Fight Performance
Strikes (Per Rnd)
14
Strike accuracy
48.8%
Takedowns (Per Rnd)
0.3
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
166.7s
76% 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 30, 2011
UFC 129: St-Pierre vs Shields
Light Heavyweight
Fight Performance
Strikes (Per Rnd)
1
Strike accuracy
100%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Finish 1st Rnd, 0m20s
Fight Performance
Strikes (Per Rnd)
8
Strike accuracy
88.9%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
2s
76% 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 6, 2021
UFC 268: Usman vs. Covington 2
Lightweight
Fight Performance
Strikes (Per Rnd)
10
Strike accuracy
33.3%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
King Green Winner
Finish 1st Rnd, 2m25s
Fight Performance
Strikes (Per Rnd)
28
Strike accuracy
70%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
15s
76% 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 18, 2026
UFC Fight Night: Burns vs. Malott
Women's Flyweight
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
6
Strike accuracy
23.7%
Takedowns (Per Rnd)
1
Takedown accuracy
60%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
163s
Fight Performance
Strikes (Per Rnd)
5
Strike accuracy
34.9%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0.7
Control time (Per Rnd)
0s
76% 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 16, 2022
UFC Fight Night: Ortega vs. Rodriguez
Welterweight
Fight Performance
Strikes (Per Rnd)
11.5
Strike accuracy
41.1%
Takedowns (Per Rnd)
0.5
Takedown accuracy
25%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
35s
Li Jingliang Winner
Finish 2nd Rnd, 4m38s
Fight Performance
Strikes (Per Rnd)
19
Strike accuracy
43.7%
Takedowns (Per Rnd)
0.5
Takedown accuracy
50%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
15s
76% 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 24, 2016
UFC Fight Night: Cyborg vs. Lansberg
Flyweight
Jussier Formiga Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
2.7
Strike accuracy
23.5%
Takedowns (Per Rnd)
0.3
Takedown accuracy
33.3%
Sub attempts (Per Rnd)
0.7
Control time (Per Rnd)
182.3s
Fight Performance
Strikes (Per Rnd)
4.3
Strike accuracy
20%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
58.7s
76% 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 22, 2017
UFC Fight Night: Swanson vs. Lobov
Bantamweight
John Dodson Winner
Decision 3rd Rnd, 5m00s
Fight Performance
Strikes (Per Rnd)
16
Strike accuracy
46.6%
Takedowns (Per Rnd)
0
Takedown accuracy
0%
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s
Fight Performance
Strikes (Per Rnd)
7
Strike accuracy
15.2%
Takedowns (Per Rnd)
0
Takedown accuracy
—
Sub attempts (Per Rnd)
0
Control time (Per Rnd)
0s

Export as Image

Statistics IntelClick here to expand

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 Amir Albazi Alessandro Costa UFC AVG
Per Round Average
Strikes 12.0 15.4 13.2
Strike accuracy 33.8% 49.3% 43.9%
Takedowns 0.4 0.2 0.4
Takedown accuracy 25% 26.7% 33.0%
Sub attempts 0.1 0.2 0.2
Control time 70.4s 21.9s 48.9s
Knockdowns 0.10 0.22 0.08
Knockdowns absorbed 0 0.11 0.13
Advanced Fighter Statistics
win rate Wins divided by this fighter's total recorded fights. 83.3% 77.3% 45.8%
recent win rate Win rate over the last 5 recorded fights only — a form signal, not a career figure. 60.0% 80.0% 37.6%
win streak Current run: a positive number is consecutive wins, a negative number consecutive losses. -2 3 -2
total fights Total recorded fights, including bouts outside the UFC. 18 22 —
head strike share Share of this fighter's landed significant strikes that went to the head. Head, body and leg sum to 100%. 69.3% 61.4% —
body strike share Share of this fighter's landed significant strikes that went to the body. Head, body and leg sum to 100%. 17.5% 18.8% —
leg strike share Share of this fighter's landed significant strikes that went to the legs. Head, body and leg sum to 100%. 13.1% 19.9% —
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. 18.76 14.89 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. 0.14 0.22 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. 0.73 0.12 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. 0.78 0.28 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. 0.4 0.000 0.42
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. 80.0% 82.4% 46.5%
KO win rate Share of this fighter's WINS that came by KO or TKO. The denominator is wins, not fights. 26.7% 41.2% 27.9%
sub win rate Share of this fighter's WINS that came by submission. The denominator is wins, not fights. 53.3% 41.2% 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%. 0.0% 60.0% 52.3%
distance strike share Share of this fighter's landed significant strikes thrown at distance. Distance, clinch and ground sum to 100%. 85.3% 75.5% —
clinch strike share Share of this fighter's landed significant strikes thrown in the clinch. Distance, clinch and ground sum to 100%. 2.8% 7.9% —
ground strike share Share of this fighter's landed significant strikes thrown on the ground. Distance, clinch and ground sum to 100%. 12.0% 16.6% —
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. 14:30 8:48 —
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. 1,545.1 1,532.1 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. 0.134 0.125 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 —

More from UFC Fight Night: Procházka vs. Stirling

Jiri Prochazka vs Navajo Stirling Aljamain Sterling vs Kevin Vallejos Dan Hooker vs Brian Ortega Jared Cannonier vs Ikram Aliskerov Shamil Gaziev vs Tallison Teixeira Jake Matthews vs Tahir Abdullayev Aleksandre Topuria vs Santiago Luna Asu Almabayev vs Kyoji Horiguchi

Put your own money-free bets on Amir Albazi vs Alessandro Costa

Create a free account to run any matchup through our AI ensemble of statistical models, track a fantasy bankroll, and bet the card. No card required.

Create your free account