VEL 1-0 SAN · 54% LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% 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% VEL 1-0 SAN · 54% LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% 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%
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NBA · Regular Season Paycom Center, Oklahoma City Not Started

Oklahoma City Thunder
vs
Washington Wizards.

Quick answer

Who will win Oklahoma City Thunder vs Washington Wizards?

10 of 10 AI models pick Oklahoma City Thunder to win (100%). The mean predicted score is 116–109 at 64% average confidence (medium).

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

All 10 AIs agree. When the whole council agrees, it has been right 64% of the time (55 games).

10 AI models read this game. The plurality on the winner leans toward Oklahoma City Thunder (10 of 10 models). The mean predicted score (rounded from all models) is 116–109 at 64% 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 Washington Wizards 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 100%

10 / 10 models

Washington Wizards win 0%

0 / 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
115–109
62%
Oklahoma City’s stronger defense, home court, and recent 5-0 form offset both teams playing back-to-backs. Washington’s higher offensive average and faster pace keep this competitive, but the Thunder’s prior matchup control still supports a narrow home win.
02
Claude Sonnet 5.5
Oklahoma City Thunder win
116–109
61%
Both teams on back-to-backs, but OKC's superior defense and SGA's scoring give an edge; Wizards' high turnover rate and weak defense favor Thunder at home.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
119–110
72%
Both teams are on back-to-backs, but Oklahoma City's elite 97.7 defensive rating and home-court advantage counter Washington's high-turnover offense led by Trae Young.
04
Grok 4.7
Oklahoma City Thunder win
116–107
62%
OKC's elite defense and H2H dominance hold at home despite Holmgren/Williams absences and a back-to-back; Wizards score well but turn it over and leak points.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
116–109
62%
Thunder have won all five recent games and dominated this matchup, but both teams are on back-to-backs and OKC may miss Holmgren and Williams, keeping the margin modest.
06
Qwen 3.8 Max
Oklahoma City Thunder win
112–105
63%
OKC's elite defense (97.7 per 100) and home edge offset missing Holmgren/Williams; Washington's high turnover rate (19.4%) and poor defense (105.8) limit their upside despite AD/Trae Young.
07
Meta Muse Spark 1.3
Oklahoma City Thunder win
115–106
68%
Thunder 4-1 with elite 101.2 defense at Paycom and 5 straight blowout H2H wins over Wizards; SGA form offsets back-to-back fatigue despite missing rotation pieces.
08
Kimi K3
Oklahoma City Thunder win
118–112
64%
Thunder's elite defense (97.7 rating) and 5-0 H2H dominance outweigh back-to-back fatigue; Wizards' high-turnover offense (21 TOs) struggles against OKC's pressure despite Davis/Young firepower.
09
GLM 5.3
Oklahoma City Thunder win
118–107
68%
OKC's elite defense (97.7 per 100) and five straight H2H blowout wins over Washington outweigh both teams being on back-to-backs; Wizards' high turnover rate fuels Thunder transition scoring at Paycom Center.
10
MiMo V2.6 Pro
Oklahoma City Thunder win
114–106
62%
OKC's defense (97.7 per 100) and 5 straight wins outweigh Washington's 19.4% turnover rate, though Holmgren and Jalen Williams sitting plus a back-to-back narrows the margin versus Washington's Davis-Young form.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 116–109. The rest of the list shows where dissent still lives before tip-off.

  • 116–109
    2 models
  • 115–106
    1 model
  • 115–109
    1 model
  • 112–105
    1 model
  • 114–106
    1 model
  • 116–107
    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 −7
AI total
225
Models picking
100%

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 20.8
4.4 REB 4.6
3.4 AST 9.6
33 MIN 36
Trae Young
Trae Young
Washington Wizards · G

Oklahoma City Thunder

4-1 · #5 Western
Home 3-0 · Away 1-1 · Last ten 4-1 · Streak L1
Back-to-back: played last night · 3 games in 7 days

Washington Wizards

2-3 · #10 Eastern
Home 1-1 · Away 1-2 · Last ten 2-3 · Streak L2
Back-to-back: played last night · 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
  • Justin Champagnie
    Justin Champagnie Wizards · F
    25 min · 9.5 pts a game before

Season averages per game

Oklahoma City Thunder Washington Wizards
109 Points 111.6
45.3% Field goal % 46.2%
33.1% 3-point % 32.4%
78.9% Free throw % 79.9%
45.4 Rebounds 43.9
24 Assists 24.5
16.4 Turnovers 18.6
7.8 Steals 8.6
6.9 Blocks 5.9

Ratings and four factors

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

ThunderWizards
Offensive rating 104.2 107
Defensive rating 101.2 105.2
Net rating +3.1 +1.8
Pace 104.6 104.3
Effective FG % 51.7 52.7
Turnover % 15.7 17.8
Free throw rate 23.4 37.5
3-point attempt rate 38.8 40

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 · Washington Wizards

  • Trae Young
    Trae YoungG 20.8 pts · 4.6 reb · 9.6 ast
  • Anthony Davis
    Anthony DavisF 20 pts · 8.6 reb · 1.6 ast
  • Kyshawn George
    Kyshawn GeorgeF 14.6 pts · 4.4 reb · 4.8 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
Washington Wizards WLLWLW
Winning and losing margins, oldest to newest
Points scored / allowed
110.5 / 109.7
Total over 220.5
3/6
Total over 230.5
3/6
Scored 110+
3/6
Won by 6+
2/6

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), Trae Young by Erik Drost (CC BY 2.0), Anthony Davis by Erik Drost (CC BY 2.0), Kyshawn George by All-Pro Reels (CC BY-SA 4.0), Chet Holmgren by Steve Cheng, Bruin Report Online (CC BY 2.0), Alex Caruso by All-Pro Reels (CC BY-SA 2.0), Justin Champagnie by Chensiyuan (CC BY-SA 4.0).

Player props

Prop hit rates: Oklahoma City Thunder vs Washington Wizards

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
Anthony Davis

Anthony Davis

Washington Wizards · F · last 6 games
Points o22.5 3/6 · 50% Ask AI
34
9
19
29
18
25
Rebounds o9.5 3/6 · 50% Ask AI
12
9
6
10
5
13
Pts + Reb + Ast o33.5 3/6 · 50% Ask AI
50
18
29
39
26
39
Trae Young

Trae Young

Washington Wizards · G · last 6 games
Points o20.5 4/6 · 67% Ask AI
20
22
25
22
14
21
Assists o10.5 2/6 · 33% Ask AI
13
12
9
10
8
9
Pts + Reb + Ast o34.5 4/6 · 67% Ask AI
33
35
38
38
27
37
3-pointers made o1.5 2/6 · 33% Ask AI
0
4
4
1
1
1
Kyshawn George

Kyshawn George

Washington Wizards · F · last 6 games
Points o15.5 3/6 · 50% Ask AI
18
11
22
20
8
12
Rebounds o4.5 2/6 · 33% Ask AI
5
3
9
4
2
4
Assists o4.5 2/6 · 33% Ask AI
3
3
5
2
11
3
Pts + Reb + Ast o24.5 3/6 · 50% Ask AI
26
17
36
26
21
19

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

Oklahoma City Thunder vs Washington Wizards: quick answers

What is the predicted total for Oklahoma City Thunder vs Washington Wizards?
The AI models' mean predicted score is Oklahoma City Thunder 116, Washington Wizards 109: a projected total of 225 points. Oklahoma City Thunder games went over 230.5 in 1 of the last 6; Washington Wizards games went over 230.5 in 3 of the last 6.
What is the AI spread pick for Oklahoma City Thunder vs Washington Wizards?
The consensus has Oklahoma City Thunder winning by 7 points (116–109), from the mean of every model's predicted score.
Who are the key players in Oklahoma City Thunder vs Washington Wizards?
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). Washington Wizards: Trae Young (20.8 pts, 4.6 reb, 9.6 ast), Anthony Davis (20 pts, 8.6 reb, 1.6 ast).
Is Oklahoma City Thunder or Washington Wizards on a back-to-back?
Oklahoma City Thunder are on the second night of a back-to-back; Washington Wizards are on the second night of a back-to-back.
— Aggregated insights

What’s moving the panel.

01
Consensus favors Oklahoma City Thunder

100% of models lean home — the clearest cluster on this fixture before tip-off.

02
Medium confidence

Mean 64% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 115.90 vs 108.00

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 Washington Wizards 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 - 109; 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 100% / 0% home and away (rounded).

If you are asking who will win Oklahoma City Thunder vs Washington Wizards, 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.

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Keep browsing today prediction coverage and league hubs.

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