EIN 2-1 1.F · 49% LEM 1-2 TOU · 44% FRO 1-1 SAS · 42% DEP 1-1 LEV · 44% EVE 1-2 CHE · 46% ESP 1-2 ATL · 48% VEN 0-2 NAP · 54% BAY 2-1 SCF · 49% UNI 0-2 BOR · 51% BOR 2-1 189 · 45% HAM 1-2 VFB · 47% WER 2-1 SCP · 48% FCS 1-0 FSV · 44% SVE 1-2 FCA · 47% EIN 2-1 1.F · 49% LEM 1-2 TOU · 44% FRO 1-1 SAS · 42% DEP 1-1 LEV · 44% EVE 1-2 CHE · 46% ESP 1-2 ATL · 48% VEN 0-2 NAP · 54% BAY 2-1 SCF · 49% UNI 0-2 BOR · 51% BOR 2-1 189 · 45% HAM 1-2 VFB · 47% WER 2-1 SCP · 48% FCS 1-0 FSV · 44% SVE 1-2 FCA · 47%
NBA · Preseason Oct 14, 2026 · 00:00 Paycom Center, Oklahoma City Finished

Oklahoma City Thunder
vs
Indiana Pacers.

Quick answer

Who will win Oklahoma City Thunder vs Indiana Pacers?

Final score: Oklahoma City Thunder 114–112 Indiana Pacers. Before kickoff, 9 of 10 AI models pick Oklahoma City Thunder to win (90%); the consensus was right. The AI predicted score was 118–112.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward Oklahoma City Thunder (9 of 10 models). The mean predicted score (rounded from all models) is 118–112 at 44% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

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“Will Oklahoma City Thunder beat Indiana Pacers in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

Oklahoma City Thunder win 90%

9 / 10 models

Indiana Pacers win 10%

1 / 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
119–115
55%
Preseason rotations add uncertainty, but Oklahoma City has home advantage and split the recent competitive series with Indiana. Both teams’ up-tempo profiles support a high-scoring, close game.
02
Claude Sonnet 5
Oklahoma City Thunder win
118–108
58%
Preseason matchup with rotations uncertain, but defending champion Thunder at home carry stronger talent edge and venue advantage over Pacers.
03
Gemini 3.8 Flash
Oklahoma City Thunder win
115–110
61%
Preseason rotation volatility lowers certainty, but OKC's superior roster depth and home-court advantage at Paycom Center give them a slight edge over Indiana's fast-paced offense.
04
Grok 4.6
Oklahoma City Thunder win
118–112
58%
Preseason at Paycom Center with mixed recent H2H. Home edge and typical NBA pace favor OKC in a close game; rotations keep confidence modest.
05
DeepSeek V4 Pro
Oklahoma City Thunder win
118–112
58%
Preseason at Paycom Center favors OKC's depth and home rhythm; Pacers' pace keeps it close, but Thunder's recent H2H edge at home supports a narrow win.
06
Qwen 3.8 Max
Oklahoma City Thunder win
118–110
53%
Preseason game limits certainty, but OKC's deeper roster and home venue give a slight edge over Indiana, consistent with their Finals-level talent gap.
07
Mistral Medium 3.5
Indiana Pacers win
118–119
58%
Recent H2H leans Pacers; both offenses potent but Indiana’s depth and tempo edge likely prevails.
08
Kimi K3
Oklahoma City Thunder win
118–110
58%
Preseason matchup at Paycom Center; Thunder's deeper roster and home court edge outweigh Pacers' recent H2H success, with both teams likely pushing pace in exhibition play.
09
GLM 5.3
Oklahoma City Thunder win
115–108
55%
Preseason opener limits certainty, but OKC's home strength and deeper rotation at Paycom Center edge Indiana, whose fast pace keeps the total high.
10
MiMo V2.5 Pro
Oklahoma City Thunder win
115–112
58%
Preseason context limits certainty, but recent H2H shows high-scoring, close games. Home venue and slight edge in recent form favor Thunder in a tight contest.
— Scoreline frequency

How often each scoreline showed up.

2 of 8 models settled on 118–112. The rest of the list shows where dissent still lives before kickoff.

  • 118–112
    2 models
  • 118–110
    2 models
  • 119–115
    1 model
  • 118–108
    1 model
  • 118–119
    1 model
  • 115–112
    1 model

Match overview

Looking for a today prediction on Oklahoma City Thunder vs Indiana Pacers 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 (118 - 112; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

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 90% / 10% home and away (rounded).

If you are asking who will win Oklahoma City Thunder vs Indiana Pacers, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Oklahoma City Thunder

90% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 44% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 117.20 vs 111.60

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

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

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

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.