ALK 1-1 ALK · 43% ABH 0-1 ALS · 57% AL- 2-0 ALT · 70% AL- 0-2 AL- · 59% AL- 1-1 ALD · 42% AL- 2-0 AL- · 64% ACM 2-1 FER · 49% AND 2-1 RED · 49% CRY 2-1 189 · 52% LEV 1-2 JAG · 48% LIL 1-1 PLZ · 42% NEC 1-2 OMO · 48% REA 2-1 LYO · 52% SPA 1-2 BOU · 54% ALK 1-1 ALK · 43% ABH 0-1 ALS · 57% AL- 2-0 ALT · 70% AL- 0-2 AL- · 59% AL- 1-1 ALD · 42% AL- 2-0 AL- · 64% ACM 2-1 FER · 49% AND 2-1 RED · 49% CRY 2-1 189 · 52% LEV 1-2 JAG · 48% LIL 1-1 PLZ · 42% NEC 1-2 OMO · 48% REA 2-1 LYO · 52% SPA 1-2 BOU · 54%
NBA · Regular Season Paycom Center, Oklahoma City Finished

Oklahoma City Thunder
vs
Cleveland Cavaliers.

Quick answer

Who will win Oklahoma City Thunder vs Cleveland Cavaliers?

Final score: Oklahoma City Thunder 124–116 Cleveland Cavaliers. Before kickoff, 8 of 10 AI models pick Oklahoma City Thunder to win (80%); the consensus was right. The AI predicted score was 116–110.

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

Live game centre

Final
Oklahoma City Thunder
124–116
Cleveland Cavaliers
Q1Q2Q3Q4 T
Oklahoma City Thunder 37232836 124
Cleveland Cavaliers 20243042 116
37
20
Q1
23
24
Q2
28
30
Q3
36
42
Q4
Pro

Live team stats, the box score and every lead change, minute by minute.

Unlock with Pro in the app

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
30 PTS 19.8
4.6 REB 4.4
4.2 AST 6.2
33 MIN 32
Donovan Mitchell
Donovan Mitchell
Cleveland Cavaliers · G

Oklahoma City Thunder

2 days of rest · 3 games in 7 days

Cleveland Cavaliers

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.

  • Peyton Watson
    Peyton Watson Cavaliers · G
    27 min · 11.5 pts a game before
  • Jaylon Tyson
    Jaylon Tyson Cavaliers · G
    21 min · 9 pts a game before

Season averages per game

Oklahoma City Thunder Cleveland Cavaliers
109.9 Points 118.4
45% Field goal % 46.3%
34.1% 3-point % 36.6%
80.5% Free throw % 77.1%
45.9 Rebounds 46
23.3 Assists 27.2
15.1 Turnovers 14.2
7.5 Steals 8
6.2 Blocks 6

Ratings and four factors

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

ThunderCavaliers
Offensive rating 105.9 112.4
Defensive rating 104.4 110.2
Net rating +1.6 +2.1
Pace 103.8 105.3
Effective FG % 51.5 54.5
Turnover % 14.5 13.5
Free throw rate 24.2 28
3-point attempt rate 38.3 44.6

Key players · Oklahoma City Thunder

  • Shai Gilgeous-Alexander
    Shai Gilgeous-AlexanderG 30 pts · 4.6 reb · 4.2 ast
  • Ajay Mitchell
    Ajay MitchellG 20.6 pts · 4 reb · 3.6 ast
  • Isaiah Hartenstein
    Isaiah HartensteinC 10.4 pts · 12 reb · 2.2 ast

Averages over the last 5 games.

Key players · Cleveland Cavaliers

  • Donovan Mitchell
    Donovan MitchellG 19.8 pts · 4.4 reb · 6.2 ast
  • Evan Mobley
    Evan MobleyC 19.2 pts · 7.6 reb · 3.8 ast
  • James Harden
    James HardenG 17.2 pts · 4.4 reb · 6.4 ast

Averages over the last 5 games.

Last ten games

Oklahoma City Thunder WLLWWWWW
Winning and losing margins, oldest to newest
Points scored / allowed
108.8 / 108.3
Total over 220.5
3/8
Total over 230.5
1/8
Scored 110+
4/8
Won by 6+
4/8
Cleveland Cavaliers LWLWWWL
Winning and losing margins, oldest to newest
Points scored / allowed
119.7 / 116.1
Total over 220.5
6/7
Total over 230.5
4/7
Scored 110+
6/7
Won by 6+
2/7

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), Isaiah Hartenstein 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), Jalen Williams by Daiei Onoguchi (CC BY 4.0), Peyton Watson by Jeff Ruane (CC BY 4.0), Jaylon Tyson by 2C2K Photography (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 8 games
Points o26.5 3/8 · 38% Ask AI
15
32
17
34
26
21
26
43
Assists o4.5 3/8 · 38% Ask AI
6
4
3
5
3
2
3
8
Pts + Reb + Ast o34.5 3/8 · 38% Ask AI
21
41
22
45
32
29
33
55
3-pointers made o2.5 4/8 · 50% Ask AI
1
3
3
1
1
1
3
4
Ajay Mitchell

Ajay Mitchell

Oklahoma City Thunder · G · last 7 games
Points o17.5 4/7 · 57% Ask AI
4
12
18
30
29
6
20
Assists o3.5 4/7 · 57% Ask AI
6
0
4
5
3
5
1
Pts + Reb + Ast o24.5 4/7 · 57% Ask AI
15
12
28
37
36
14
26
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 7 games
Points o21.5 4/7 · 57% Ask AI
32
22
26
19
22
15
17
Rebounds o5.5 1/7 · 14% Ask AI
10
5
5
5
3
4
5
Assists o5.5 3/7 · 43% Ask AI
3
4
7
7
3
3
11
Pts + Reb + Ast o32.5 3/7 · 43% Ask AI
45
31
38
31
28
22
33
3-pointers made o2.5 2/7 · 29% Ask AI
2
2
5
2
1
2
4
Evan Mobley

Evan Mobley

Cleveland Cavaliers · C · last 7 games
Points o19.5 3/7 · 43% Ask AI
18
20
18
24
11
27
16
Rebounds o8.5 3/7 · 43% Ask AI
8
10
10
12
4
5
7
Assists o3.5 3/7 · 43% Ask AI
2
4
3
2
7
3
4
Pts + Reb + Ast o30.5 4/7 · 57% Ask AI
28
34
31
38
22
35
27
3-pointers made o2.5 3/7 · 43% Ask AI
1
2
4
5
0
3
1
James Harden

James Harden

Cleveland Cavaliers · G · last 7 games
Points o16.5 2/7 · 29% Ask AI
16
12
19
16
24
13
14
Rebounds o4.5 4/7 · 57% Ask AI
3
8
5
2
5
6
4
Assists o6.5 3/7 · 43% Ask AI
5
7
9
6
4
7
6
Pts + Reb + Ast o27.5 2/7 · 29% Ask AI
24
27
33
24
33
26
24
3-pointers made o2.5 5/7 · 71% Ask AI
3
1
3
2
3
3
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 8; Cleveland Cavaliers games went over 230.5 in 4 of the last 7.
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 (30 pts, 4.6 reb, 4.2 ast), Ajay Mitchell (20.6 pts, 4 reb, 3.6 ast). Cleveland Cavaliers: Donovan Mitchell (19.8 pts, 4.4 reb, 6.2 ast), Evan Mobley (19.2 pts, 7.6 reb, 3.8 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.

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

Articles linked to these clubs or AI forecasting.

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.