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Educational analyticsNot betting advice · research use only.
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Bout 5 of 12

Jean-Paul Lebosnoyani vs Farman Hasanov

Sat, Oct 31, 8:00 PM ET · Welterweight · 3 rounds · UFC Fight Night: Moicano vs. Nolan · Meta APEX

Fight history: Jean-Paul Lebosnoyani · Farman Hasanov

No simulation story for this event: Neither fighter has enough UFC history in our corpus to build a read from.

No model read for this bout. Neither fighter has enough UFC history in our corpus to build a read from.

Winner

Who the model expects to win

Probabilities over the two fighters, from the head that was evaluated on its own preregistered bar.

Jean-Paul LebosnoyaniJean-Paul Lebosnoyani11-2-0
vs
Farman HasanovFarman Hasanov5-0-0
11-2-0Record5-0-0
2Tracked bouts1
The fighters

What the corpus knows about each of them

Tracked bouts only — a fight outside the corpus is not counted, and a thin record says so.

Jean-Paul Lebosnoyani
11-2-0
Tracked record

2-0 in the last 2 tracked bouts. 0 of 2 wins came by finish (0%); 2 of 2 tracked fights reached the judges (100%).

Not established
? Only 2 tracked bouts — too few to name a strength, weakness or tendency
Last 2 tracked
WSeokhyeon KoDecision R3
WPhil RoweDecision R3
Farman Hasanov
5-0-0
Tracked record

1-0 in the last 1 tracked bout. 0 of 1 win came by finish (0%); 1 of 1 tracked fight reached the judges (100%).

Not established
? Only 1 tracked bout — too few to name a strength, weakness or tendency
Last 1 tracked
WEric NolanDecision R3
Method

Where these numbers come from

Three separate heads — winner, method and round — each fitted on a corpus of tracked UFC fights and each tested on past fights it never trained on before it was published. This is an experimental model: winner forecasts are graded on every new card, method and round are not yet graded, and it has not been shown to have an edge over the market.

Winner 60.6% accurate over 3,557 held-out fights · baseline 50.0% · log loss 0.6615 against 0.6931
Method 52.7% accurate over 3,557 held-out fights · baseline 46.7% · log loss 0.9692 against 1.0255
Round 60.6% accurate over 3,557 held-out fights · baseline 55.3% · log loss 0.9148 against 0.9549

Generated

Technical detailsModel fingerprint and the fight corpus it was fitted on.
model ufc-fight-model@e657fc40b64d
corpus 8,642 fights · 1994-03-11 to 2026-08-08 · scrape_ufc_stats (GPL-3.0)

Educational and paper-only — not betting advice.

More

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