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UFC Fight Night: Cortes Acosta vs. Walker · 7 Nov 2026, 22:00 · scheduled

Keiichiro Nakamura vs Ollie Schmid

Keiichiro Nakamura 61%39% Ollie Schmid

Probability of winning, given a decisive result (draws / no contests excluded)

Model logistic-regression · generated 2 Nov 2026, 21:51 · data completeness 80%

⚠ Limited evidence: at least one fighter has fewer than 3 prior UFC bouts in the data, so this forecast is less reliable.

Main statistical drivers (associations, not causes)
  1. Elo rating gap favours Keiichiro Nakamura
  2. career win rate favours Ollie Schmid
  3. durability favours Keiichiro Nakamura

Model accuracy is measured on Model Lab. It is currently behind the bookmaker consensus, so a gap between the two is more likely the model’s than an opportunity.

Odds Intelligence

Research benchmark only. Bookmaker prices never feed the prediction model.

AI prediction · logistic-regression
Keiichiro Nakamura 61% · Ollie Schmid 39%
Bookmaker consensus · 10 bookmakers
Keiichiro Nakamura 74% · Ollie Schmid 26%
Updated 2 h ago
AI versus market
−13.1 pp for Keiichiro Nakamura
Percentage points. A disagreement, not a tip.

Bookmakers

Bookmaker ↑Keiichiro NakamuraOllie SchmidUpdated
BetAnything1.293.602 h ago
BetOnline.ag1.313.652 h ago
Betsson1.273.652 h ago
Coolbet1.283.852 h ago
Grosvenor1.193.252 h ago
LiveScore Bet1.283.702 h ago
Nordic Bet1.283.702 h ago
Pinnacle1.274.002 h ago
Unibet (UK)1.283.352 h ago
Virgin Bet1.283.702 h ago

Market movement

Not enough history in this range (1 point). History is collected from now on; none is back-filled.

Shows Keiichiro Nakamura’s consensus probability. First observed price is not the bookmaker’s opening price, and the last captured price is not the official closing price.

Head to head

MeasureKeiichiro NakamuraOllie Schmid
UFC record since 20131-0-00-1-0
Height (cm)177.8182.88
Reach (cm)177.8180.34
StanceSouthpawOrthodox

“—” means the source did not supply the value. It is not zero.

Forecast revisions

  • first · 2 Nov 2026, 21:51 · logistic-regression
  • latest · 2 Nov 2026, 21:51 · logistic-regression