FightChoice Intelligence Report

Gabriel Lorenco
vs
Thomas Petersen

Gabriel Lorenco vs Thomas Petersen

https://fightchoice.app/events/gabriel-lorenco-vs-thomas-petersen-prediction-2026-11-07

Heavyweight

UFC Fight Night: Cortes Acosta vs. Walker · Nov 7, 2026

In This Report

The Fight StoryClick here to expandThe story behind the stats.

As Gabriel Lorenco steps into the octagon against Thomas Petersen at UFC Fight Night: Cortes Acosta vs. Walker, fans will witness a clash of rising talent versus seasoned experience. With an impressive career record of 8-1, Lorenco is on a roll, boasting a staggering 88.9% win rate and the momentum of an active eight-fight win streak. In contrast, Petersen, armed with a record of 11-5, is navigating a decline in his career, holding a recent win rate of just 40%. Their age difference could also play a pivotal role; at 27, Lorenco represents the vigor of youth, while Petersen, at 31, is looking to reclaim his footing in the heavyweight division.

The statistical edge leans towards Lorenco, who possesses a remarkable finish rate of 87.5%, compared to Petersen’s 75%. While Petersen’s striking accuracy stands out at 58.3%, it’s Lorenco's ability to absorb just 1.374 significant strikes per round that shows his defensive prowess, suggesting he can withstand Petersen’s barrage and counter effectively. The narrative echoes past bouts where young, hungry fighters have overpowered veterans—much like when rising star Ciryl Gane faced the more experienced Junior dos Santos. As the heavyweight division heats up, this matchup is a must-watch for fans eager to see if Lorenco can continue his ascent or if Petersen can turn back the clock and spoil the party.

#GabrielLorenco #ThomasPetersen #UFCFightNight #Heavyweight #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 31, 2026, 06:03 UTC

Model Breakdown
Gabriel Lorenco Thomas Petersen
Deep Learning Model α 30% weight 54.3% 45.7%
Deep Learning Model ξ 29% weight 89.7% 10.3%
Statistical Model β 24% weight 50.0% 50.0%
Statistical Model ε 17% weight 50.0% 50.0%
Ensemble 67.9% 32.1%
AI Reasoning (why the models picked this)

Despite most individual models favoring Thomas Petersen due to significant reach and striking advantages, the ENSEMBLE prediction favors Gabriel Lorenco. This outcome is driven by the ensemble's calibration and weighting, which ultimately produced a combined prediction for Lorenco despite the individual model leanings.

  • Statistical Model β: Model β favors Thomas Petersen, citing his reach advantage over Gabriel Lorenco and Petersen's past prime status.
  • Statistical Model ε: Model ε favors Thomas Petersen, highlighting his weight, reach, and orthodox stance advantages over Gabriel Lorenco.

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

Predicted Winner
Gabriel Lorenco
67.9%
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

40% 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 Gabriel Lorenco Thomas Petersen
Career Record 8-1 11-5
Height — 6' 1"
Weight — 264 lbs.
Reach — 74"
Stance — Southpaw
Age 27 31

Records are official career records, all promotions included.

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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 Gabriel Lorenco Thomas Petersen UFC AVG
Per Round Average
Strikes — 13.2 13.2
Strike accuracy — 58.3% 43.9%
Takedowns — 0.8 0.4
Takedown accuracy — 37.1% 33.0%
Sub attempts — 0.1 0.2
Control time — 102.6s 48.9s
Knockdowns — 0.06 0.08
Knockdowns absorbed — 0.18 0.13
Advanced Fighter Statistics
win rate Wins divided by this fighter's total recorded fights. 88.9% 80.0% 45.8%
recent win rate Win rate over the last 5 recorded fights only — a form signal, not a career figure. 100.0% 40.0% 37.6%
win streak Current run: a positive number is consecutive wins, a negative number consecutive losses. 8 -1 -2
total fights Total recorded fights, including bouts outside the UFC. 9 20 —
head strike share Share of this fighter's landed significant strikes that went to the head. Head, body and leg sum to 100%. 0.0% 64.4% —
body strike share Share of this fighter's landed significant strikes that went to the body. Head, body and leg sum to 100%. 0.0% 27.1% —
leg strike share Share of this fighter's landed significant strikes that went to the legs. Head, body and leg sum to 100%. 0.0% 8.4% —
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. 1.374 11.41 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. 0.747 0.06 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. — 1.71 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. — 0.6 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. — 1 0.42
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. No No —
finish rate Share of this fighter's WINS that came by finish, KO/TKO or submission. The denominator is wins, not fights. 87.5% 75.0% 46.5%
KO win rate Share of this fighter's WINS that came by KO or TKO. The denominator is wins, not fights. 75.0% 62.5% 27.9%
sub win rate Share of this fighter's WINS that came by submission. The denominator is wins, not fights. 12.5% 12.5% 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%. 100.0% 75.0% 52.3%
distance strike share Share of this fighter's landed significant strikes thrown at distance. Distance, clinch and ground sum to 100%. 0.0% 74.7% —
clinch strike share Share of this fighter's landed significant strikes thrown in the clinch. Distance, clinch and ground sum to 100%. 0.0% 7.1% —
ground strike share Share of this fighter's landed significant strikes thrown on the ground. Distance, clinch and ground sum to 100%. 0.0% 18.2% —
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. — 10:44 —
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. 1500 1,491.1 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. 0.042 0.140 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. Peak Decline —

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