UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58% UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58%
NBA · Regular Season Oct 27, 2026 · 00:00 Paycom Center, Oklahoma City Not Started

Oklahoma City Thunder
vs
Phoenix Suns.

Quick answer

Who will win Oklahoma City Thunder vs Phoenix Suns?

10 of 10 AI models pick Oklahoma City Thunder to win (100%). The mean predicted score is 110–102 at 66% average confidence (high).

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 69% of the time (29 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 110–102 at 66% mean confidence (High 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 Phoenix Suns 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

Phoenix Suns 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-5.6 Luna
Oklahoma City Thunder win
109–105
63%
Oklahoma City’s stronger defense, 2-0 start, and recent head-to-head success support the home edge, though the back-to-back reduces its margin. Phoenix’s extra rest and Booker-led offense should keep this competitive.
02
Claude Sonnet 5
Oklahoma City Thunder win
117–105
68%
OKC is clearly stronger (2-0, elite defense per possession) despite back-to-back fatigue; Suns struggling defensively, allowing 116+ recently, and Booker's output is modest.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
114–106
68%
Despite being on a back-to-back, OKC's elite 94.6 defensive rating and strong form give them the upper hand over a turnover-prone Suns offense.
04
Grok 4.6
Oklahoma City Thunder win
114–107
62%
OKC's elite defense and 2-0 form plus recent H2H edge outweigh a back-to-back; Suns rest helps but high turnovers and poor D keep them behind at Paycom.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
110–102
68%
Thunder are 2-0 with strong defense and recent H2H dominance over Suns; Phoenix is 0-1 with poor defense and high turnovers, despite OKC's back-to-back.
06
Qwen 3.8 Max
Oklahoma City Thunder win
112–103
70%
OKC's elite defense (94.6 per 100) and Phoenix's poor offense (98.9) and high turnover rate favor Thunder despite back-to-back rest disadvantage.
07
Mistral Medium 3.5
Oklahoma City Thunder win
110–102
62%
Thunder's elite defense and back-to-back fatigue offset by Suns' poor defensive form and rest disadvantage.
08
Kimi K3
Oklahoma City Thunder win
118–107
68%
OKC's elite defense (94.6/100) and 4-1 H2H edge outweigh back-to-back fatigue; Phoenix's 19.9% turnover rate and 116.2 points allowed recently suggest they can't keep pace.
09
GLM 5.3
Oklahoma City Thunder win
113–102
68%
OKC's elite defense (94.6 per 100) and 2-0 form outweigh the back-to-back; Suns are 0-1 with heavy turnovers and weak defense, and OKC swept recent H2H meetings.
10
MiMo V2.6 Pro
Oklahoma City Thunder win
112–102
67%
OKC's 3-0 form and elite defense (94.6 per 100) face a Phoenix team allowing 116.2 with 21 turnovers; back-to-back rest trims the margin but SGA and H2H dominance (4 of 5 wins) still favor OKC at home.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 110–102. The rest of the list shows where dissent still lives before tip-off.

  • 110–102
    2 models
  • 109–105
    1 model
  • 117–105
    1 model
  • 112–103
    1 model
  • 112–102
    1 model
  • 114–107
    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 −8
AI total
212
Models picking
100%

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

Star matchup · last 3 games
Shai Gilgeous-Alexander
Shai Gilgeous-Alexander
Oklahoma City Thunder · G
24.5 PTS 27.3
3.3 REB 4.7
4.5 AST 5
33 MIN 30
Devin Booker
Devin Booker
Phoenix Suns · G

Oklahoma City Thunder

2-0 · #5 Western
Home 1-0 · Away 1-0 · Last ten 2-0 · Streak W2
Back-to-back: played last night · 3 games in 7 days

Phoenix Suns

1-1 · #9 Western
Home 1-0 · Away 0-1 · Last ten 1-1 · Streak W1
2 days of rest · 2 games in 7 days
Full NBA standings & playoff race →

Season averages per game

Oklahoma City Thunder Phoenix Suns
108.6 Points 108.4
45.1% Field goal % 45.8%
34.6% 3-point % 32.1%
77.1% Free throw % 71.6%
45.4 Rebounds 41.7
24.9 Assists 22.4
16.6 Turnovers 20.4
8.9 Steals 11.3
7.4 Blocks 4.7

Ratings and four factors

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

ThunderSuns
Offensive rating 103.1 102.8
Defensive rating 95.2 110.9
Net rating +7.9 -8.1
Pace 105.4 105.5
Effective FG % 51.9 52.4
Turnover % 15.8 19.4
Free throw rate 21.8 27.8
3-point attempt rate 39.3 40.9

Key players · Oklahoma City Thunder

  • Shai Gilgeous-Alexander
    Shai Gilgeous-AlexanderG 24.5 pts · 3.3 reb · 4.5 ast
  • Jalen Williams
    Jalen WilliamsG 14.3 pts · 4.5 reb · 3.3 ast
  • Chet Holmgren
    Chet HolmgrenC 12 pts · 9.3 reb · 1.3 ast

Averages over the last 4 games.

Key players · Phoenix Suns

  • Devin Booker
    Devin BookerG 27.3 pts · 4.7 reb · 5 ast
  • Dillon Brooks
    Dillon BrooksF 14.5 pts · 3 reb · 2 ast
  • Jalen Green
    Jalen GreenG 14.5 pts · 2.3 reb · 2.8 ast

Averages over the last 3 games.

Last ten games

Oklahoma City Thunder WWWW
Winning and losing margins, oldest to newest
Points scored / allowed
108.5 / 100.3
Total over 220.5
1/4
Total over 230.5
0/4
Scored 110+
2/4
Won by 6+
3/4
Phoenix Suns WLLLWLL
Winning and losing margins, oldest to newest
Points scored / allowed
108.4 / 117
Total over 220.5
4/7
Total over 230.5
3/7
Scored 110+
3/7
Won by 6+
1/7

Player photos via Wikimedia Commons: Shai Gilgeous-Alexander by Sandro Halank, Wikimedia Commons (CC BY-SA 4.0), Jalen Williams by Daiei Onoguchi (CC BY 4.0), Chet Holmgren by Steve Cheng, Bruin Report Online (CC BY 2.0), Devin Booker by Clément Bardot (CC BY-SA 4.0), Dillon Brooks by Sandro Halank, Wikimedia Commons (CC BY-SA 4.0), Jalen Green by All-Pro Reels (CC BY-SA 2.0).

Player props

Prop hit rates: Oklahoma City Thunder vs Phoenix Suns

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 4 games
Points o24.5 2/4 · 50% Ask AI
15
32
17
34
Assists o4.5 2/4 · 50% Ask AI
6
4
3
5
Pts + Reb + Ast o32.5 2/4 · 50% Ask AI
21
41
22
45
3-pointers made o2.5 2/4 · 50% Ask AI
1
3
3
1
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
Chet Holmgren

Chet Holmgren

Oklahoma City Thunder · C · last 3 games
Points o12.5 1/3 · 33% Ask AI
14
12
10
Rebounds o9.5 1/3 · 33% Ask AI
7
17
4
Pts + Reb + Ast o22.5 2/3 · 67% Ask AI
23
31
14
Devin Booker

Devin Booker

Phoenix Suns · G · last 5 games
Points o21.5 2/5 · 40% Ask AI
13
11
16
23
43
Assists o3.5 2/5 · 40% Ask AI
3
1
6
2
7
Pts + Reb + Ast o28.5 2/5 · 40% Ask AI
19
12
25
29
57
Dillon Brooks

Dillon Brooks

Phoenix Suns · F · last 6 games
Points o15.5 2/6 · 33% Ask AI
11
24
15
18
10
15
Pts + Reb + Ast o20.5 3/6 · 50% Ask AI
13
30
19
23
14
22
3-pointers made o1.5 3/6 · 50% Ask AI
2
3
1
2
1
1
Jalen Green

Jalen Green

Phoenix Suns · G · last 6 games
Points o13.5 2/6 · 33% Ask AI
11
12
18
18
10
12
Pts + Reb + Ast o18.5 2/6 · 33% Ask AI
14
18
26
22
15
15
3-pointers made o1.5 3/6 · 50% Ask AI
1
1
3
3
2
1

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

Oklahoma City Thunder vs Phoenix Suns: quick answers

What is the predicted total for Oklahoma City Thunder vs Phoenix Suns?
The AI models' mean predicted score is Oklahoma City Thunder 110, Phoenix Suns 102: a projected total of 212 points. Oklahoma City Thunder games went over 220.5 in 1 of the last 4; Phoenix Suns games went over 220.5 in 4 of the last 7.
What is the AI spread pick for Oklahoma City Thunder vs Phoenix Suns?
The consensus has Oklahoma City Thunder winning by 8 points (110–102), from the mean of every model's predicted score.
Who are the key players in Oklahoma City Thunder vs Phoenix Suns?
Leading scorers over the last 3 games. Oklahoma City Thunder: Shai Gilgeous-Alexander (24.5 pts, 3.3 reb, 4.5 ast), Jalen Williams (14.3 pts, 4.5 reb, 3.3 ast). Phoenix Suns: Devin Booker (27.3 pts, 4.7 reb, 5 ast), Dillon Brooks (14.5 pts, 3 reb, 2 ast).
Is Oklahoma City Thunder or Phoenix Suns on a back-to-back?
Oklahoma City Thunder are on the second night of a back-to-back; Phoenix Suns have had 2 days of rest.
— 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
High confidence

Mean 66% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 112.90 vs 104.10

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 Phoenix Suns 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 (110 - 102; 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 Phoenix Suns, 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.

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— 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.