EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50%
TuringStats
AI consensus
Get the app
Ask multiple AI Forecasts League tables AI board AI poll AI vs Polymarket Check my picks Journal Sign in with Google Get the free app
← NBA games NBA hub →
NBA · Regular Season Paycom Center, Oklahoma City Not Started

Oklahoma City Thunder
vs
Cleveland Cavaliers.

Quick answer

Who will win Oklahoma City Thunder vs Cleveland Cavaliers?

8 of 10 AI models pick Oklahoma City Thunder to win (80%). The mean predicted score is 116–110 at 59% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before tip-off. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Oklahoma City Thunder (8 of 10 models). The mean predicted score (rounded from all models) is 116–110 at 59% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

NBA standings Where Oklahoma City Thunder and Cleveland Cavaliers stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Oklahoma City Thunder win 80%

8 / 10 models

Cleveland Cavaliers win 20%

2 / 10 models

— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Oklahoma City Thunder win
114–110
58%
Oklahoma City’s stronger recent defense, 2-0 start, home court, and favorable recent head-to-head support a narrow win. Cleveland’s higher offensive output and both teams’ rest point toward a competitive, moderately high-scoring game.
02
Claude Sonnet 5.5
Oklahoma City Thunder win
118–111
61%
Thunder are undefeated at home with strong defense, though Cleveland's porous defense (111 allowed/100) and Mitchell/Mobley scoring keep this competitive.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
116–110
62%
Oklahoma City's elite defensive rating (97.7) and strong recent home form provide the edge against Cleveland's high-turnover offense, despite both teams entering well-rested.
04
Grok 4.7
Oklahoma City Thunder win
114–108
58%
OKC home elite D (97.7/100) and H2H wins; Cavs leak points. Modest edge as Holmgren and Williams missed last game.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
112–106
58%
Thunder are 5-0 in last five and have won three straight H2H, but key regulars may miss; Cavs' high pace and scoring keep it close. Home edge and better recent defense tip it.
06
Qwen 3.8 Max
Cleveland Cavaliers win
115–116
53%
OKC missing Holmgren, J-Will, and Wallace weakens their elite defense; Cleveland's Mitchell-Mobley-Harden trio should exploit that, though home court keeps it close.
07
Meta Muse Spark 1.3
Cleveland Cavaliers win
113–119
57%
Cleveland's three-game win streak and 117-point attack with Mitchell-Harden form outweigh depleted Oklahoma City missing Williams, Holmgren, Caruso despite past H2H dominance at Paycom.
08
Kimi K3
Oklahoma City Thunder win
116–110
62%
Thunder's elite defense (97.7 per 100) and 4-1 H2H edge vs Cavs' leaky defense (111 per 100) favor OKC at home, though Holmgren/Williams availability uncertainty caps confidence.
09
GLM 5.3
Oklahoma City Thunder win
116–110
58%
OKC is 2-0 with elite defense (97.7 per 100) and beat Cleveland in three straight H2H meetings; Cavs' offense is potent but their defense is weak. Holmgren/Williams injury uncertainty keeps confidence moderate.
10
MiMo V2.6 Pro
Oklahoma City Thunder win
112–108
58%
OKC's defense (97.7 per 100) and 5-game win streak offset Cleveland's scoring edge; Donovan Mitchell's 26.7 ppg form keeps it close, but Paycom Center and OKC's H2H edge decide it.
— Scoreline frequency

How often each scoreline showed up.

3 of 8 models settled on 116–110. The rest of the list shows where dissent still lives before tip-off.

  • 116–110
    3 models
  • 113–119
    1 model
  • 114–110
    1 model
  • 118–111
    1 model
  • 112–106
    1 model
  • 115–116
    1 model

Standings, rest and form

Where both teams stand, how rested they are, who carries the scoring and how their last ten games went.

AI spread
Thunder −6
AI total
226
Models picking
80%

From the mean predicted score of every model. Compare with your sportsbook's line.

Star matchup · last 5 games
Shai Gilgeous-Alexander
Shai Gilgeous-Alexander
Oklahoma City Thunder · G
26 PTS 24.2
4.4 REB 5.6
3.4 AST 4.8
33 MIN 34
Donovan Mitchell
Donovan Mitchell
Cleveland Cavaliers · G

Oklahoma City Thunder

4-1 · #5 Western
Home 3-0 · Away 1-1 · Last ten 4-1 · Streak L1
2 days of rest · 3 games in 7 days

Cleveland Cavaliers

3-1 · #5 Eastern
Home 3-0 · Away 0-1 · Last ten 3-1 · Streak W3
2 days of rest · 3 games in 7 days
Full NBA standings & playoff race →

Did not play last game

Regulars missing from the latest box score: injury, rest or suspension. Check the status before tip-off.

  • Jalen Williams
    Jalen Williams Thunder · G
    32 min · 13.7 pts a game before
  • Chet Holmgren
    Chet Holmgren Thunder · C
    30 min · 12 pts a game before
  • Alex Caruso
    Alex Caruso Thunder · G
    22 min · 9.3 pts a game before

Season averages per game

Oklahoma City Thunder Cleveland Cavaliers
109 Points 117.3
45.3% Field goal % 46.2%
33.1% 3-point % 35.2%
78.9% Free throw % 78.9%
45.4 Rebounds 44.9
24 Assists 26
16.4 Turnovers 15.3
7.8 Steals 8.5
6.9 Blocks 6.5

Ratings and four factors

Per 100 possessions. Pace is possessions per game; defence uses points allowed over the last ten.

ThunderCavaliers
Offensive rating 104.2 110.4
Defensive rating 101.2 110.1
Net rating +3.1 +0.2
Pace 104.6 106.2
Effective FG % 51.7 53.6
Turnover % 15.7 14.4
Free throw rate 23.4 30.5
3-point attempt rate 38.8 42.1

Key players · Oklahoma City Thunder

  • Shai Gilgeous-Alexander
    Shai Gilgeous-AlexanderG 26 pts · 4.4 reb · 3.4 ast
  • Ajay Mitchell
    Ajay MitchellG 18.6 pts · 3.4 reb · 3.6 ast
  • Jalen Williams
    Jalen WilliamsG 13.7 pts · 4.7 reb · 3.3 ast

Averages over the last 5 games.

Key players · Cleveland Cavaliers

  • Donovan Mitchell
    Donovan MitchellG 24.2 pts · 5.6 reb · 4.8 ast
  • Evan Mobley
    Evan MobleyC 18.2 pts · 8.8 reb · 3.6 ast
  • James Harden
    James HardenG 17.4 pts · 4.6 reb · 6.2 ast

Averages over the last 5 games.

Last ten games

Oklahoma City Thunder LWWWWW
Winning and losing margins, oldest to newest
Points scored / allowed
109.2 / 105.8
Total over 220.5
2/6
Total over 230.5
1/6
Scored 110+
3/6
Won by 6+
4/6
Cleveland Cavaliers LWWWL
Winning and losing margins, oldest to newest
Points scored / allowed
118 / 117
Total over 220.5
4/5
Total over 230.5
3/5
Scored 110+
4/5
Won by 6+
1/5

Player photos via Wikimedia Commons: Shai Gilgeous-Alexander by Sandro Halank, Wikimedia Commons (CC BY-SA 4.0), Ajay Mitchell by Daiei Onoguchi (CC BY 4.0), Jalen Williams by Daiei Onoguchi (CC BY 4.0), Donovan Mitchell by Erik Drost (CC BY 2.0), Evan Mobley by Erik Drost (CC BY 2.0), James Harden by Erik Drost (CC BY 2.0), Chet Holmgren by Steve Cheng, Bruin Report Online (CC BY 2.0), Alex Caruso by All-Pro Reels (CC BY-SA 2.0).

Player props

Prop hit rates: Oklahoma City Thunder vs Cleveland Cavaliers

Each line sits at the player's recent average. Bars show every game, green when he went over.

Shai Gilgeous-Alexander

Shai Gilgeous-Alexander

Oklahoma City Thunder · G · last 6 games
Points o24.5 3/6 · 50% Ask AI
15
32
17
34
26
21
Assists o3.5 3/6 · 50% Ask AI
6
4
3
5
3
2
Pts + Reb + Ast o31.5 3/6 · 50% Ask AI
21
41
22
45
32
29
3-pointers made o1.5 2/6 · 33% Ask AI
1
3
3
1
1
1
Ajay Mitchell

Ajay Mitchell

Oklahoma City Thunder · G · last 5 games
Points o18.5 2/5 · 40% Ask AI
4
12
18
30
29
Assists o3.5 3/5 · 60% Ask AI
6
0
4
5
3
Pts + Reb + Ast o25.5 3/5 · 60% Ask AI
15
12
28
37
36
Jalen Williams

Jalen Williams

Oklahoma City Thunder · G · last 4 games
Points o14.5 2/4 · 50% Ask AI
16
12
21
8
Rebounds o4.5 2/4 · 50% Ask AI
4
7
5
2
Assists o3.5 1/4 · 25% Ask AI
3
2
3
5
Pts + Reb + Ast o22.5 2/4 · 50% Ask AI
23
21
29
15
Donovan Mitchell

Donovan Mitchell

Cleveland Cavaliers · G · last 5 games
Points o24.5 2/5 · 40% Ask AI
32
22
26
19
22
Rebounds o5.5 1/5 · 20% Ask AI
10
5
5
5
3
Assists o4.5 2/5 · 40% Ask AI
3
4
7
7
3
Pts + Reb + Ast o34.5 2/5 · 40% Ask AI
45
31
38
31
28
3-pointers made o2.5 1/5 · 20% Ask AI
2
2
5
2
1
Evan Mobley

Evan Mobley

Cleveland Cavaliers · C · last 5 games
Points o18.5 2/5 · 40% Ask AI
18
20
18
24
11
Rebounds o8.5 3/5 · 60% Ask AI
8
10
10
12
4
Assists o3.5 2/5 · 40% Ask AI
2
4
3
2
7
Pts + Reb + Ast o30.5 3/5 · 60% Ask AI
28
34
31
38
22
3-pointers made o2.5 2/5 · 40% Ask AI
1
2
4
5
0
James Harden

James Harden

Cleveland Cavaliers · G · last 5 games
Points o17.5 2/5 · 40% Ask AI
16
12
19
16
24
Rebounds o4.5 3/5 · 60% Ask AI
3
8
5
2
5
Assists o6.5 2/5 · 40% Ask AI
5
7
9
6
4
Pts + Reb + Ast o28.5 2/5 · 40% Ask AI
24
27
33
24
33
3-pointers made o2.5 3/5 · 60% Ask AI
3
1
3
2
3

From box scores of each team's recent games. Lines are our reference points, not sportsbook prices.

Oklahoma City Thunder vs Cleveland Cavaliers: quick answers

What is the predicted total for Oklahoma City Thunder vs Cleveland Cavaliers?
The AI models' mean predicted score is Oklahoma City Thunder 116, Cleveland Cavaliers 110: a projected total of 226 points. Oklahoma City Thunder games went over 230.5 in 1 of the last 6; Cleveland Cavaliers games went over 230.5 in 3 of the last 5.
What is the AI spread pick for Oklahoma City Thunder vs Cleveland Cavaliers?
The consensus has Oklahoma City Thunder winning by 6 points (116–110), from the mean of every model's predicted score.
Who are the key players in Oklahoma City Thunder vs Cleveland Cavaliers?
Leading scorers over the last 5 games. Oklahoma City Thunder: Shai Gilgeous-Alexander (26 pts, 4.4 reb, 3.4 ast), Ajay Mitchell (18.6 pts, 3.4 reb, 3.6 ast). Cleveland Cavaliers: Donovan Mitchell (24.2 pts, 5.6 reb, 4.8 ast), Evan Mobley (18.2 pts, 8.8 reb, 3.6 ast).
Is Oklahoma City Thunder or Cleveland Cavaliers on a back-to-back?
Oklahoma City Thunder have had 2 days of rest; Cleveland Cavaliers have had 2 days of rest.
— Aggregated insights

What’s moving the panel.

01
Consensus favors Oklahoma City Thunder

80% of models lean home — the clearest cluster on this fixture before tip-off.

02
Medium confidence

Mean 59% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 114.60 vs 110.80

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Ask with match data Ask without data (free)

Confidence trend

Cumulative average confidence in table order.

First model Last model

Match overview

Looking for a today prediction on Oklahoma City Thunder vs Cleveland Cavaliers in NBA? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (116 - 110; the frequency chart below lists the most common exact scorelines), and implied splits before tip-off.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Oklahoma City Thunder win, with vote shares roughly 80% / 20% home and away (rounded).

If you are asking who will win Oklahoma City Thunder vs Cleveland Cavaliers, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

Related matches

— Journal

From the blog

Articles linked to these clubs or AI forecasting.

NBA Predictions 2026-27: 10 AI Models Pick the Champion, Finals and MVP
Insights
NBA Predictions 2026-27: 10 AI Models Pick the Champion, Finals and MVP

We asked GPT, Claude, Gemini, Grok and six more AI models who wins the 2026-27 NBA title. 7 of 10 pick the Oklahoma City Thunder; here are the Finals and MVP votes and the reasoning.

 Buffalo Bills vs Baltimore Ravens Prediction: AI Panel Backs Bills
NFL
Buffalo Bills vs Baltimore Ravens Prediction: AI Panel Backs Bills

Buffalo Bills vs Baltimore Ravens prediction for NFL Week 10: the AI panel unanimously backs the Bills at Highmark Stadium, with a 27-20 scoreline.

 Racing Santander vs Real Madrid Prediction: AI Panel Backs Away Win
La Liga
Racing Santander vs Real Madrid Prediction: AI Panel Backs Away Win

Racing Santander vs Real Madrid prediction: AI panel unanimously backs Real Madrid in La Liga clash at El Sardinero. Full model consensus and score…

 Liverpool vs Arsenal Prediction: AI Panel Splits on Anfield Stalemate
Premier League
Liverpool vs Arsenal Prediction: AI Panel Splits on Anfield Stalemate

Liverpool vs Arsenal prediction for their Premier League clash at Anfield. AI panel consensus: 60% draw, most common score 1-1, average confidence 41%.

 AC Milan vs Inter Prediction: AI Panel Backs Derby Draw
Serie A
AC Milan vs Inter Prediction: AI Panel Backs Derby Draw

AC Milan vs Inter prediction: our AI panel sees a 1-1 Serie A derby draw at San Siro, with 80% backing the draw and Inter the only alternative.

 Barcelona vs Alaves Prediction: AI Panel Backs Blaugrana Clean Sheet
La Liga
Barcelona vs Alaves Prediction: AI Panel Backs Blaugrana Clean Sheet

Barcelona vs Alaves prediction for La Liga: AI panel unanimously backs Barcelona with 64% confidence and a 3-0 scoreline at Spotify Camp Nou.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.

Ask with match data App Store Google Play