STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37% MIA 1-0 LOU · 41% STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37% MIA 1-0 LOU · 41%
TuringStats
AI consensus
Get the app
Ask multiple AI Forecasts AI board AI poll Archive Check my picks Journal Sign in with Google Get the free app
Friday 9 October 2026

AI NBA picks yesterday

Yesterday's record: the AI consensus picked the right result in 1 of 3 games (33%). We publish the misses too, and the AI leaderboard grades every model.

NBA

NBA hub →

  1. San Antonio Spurs vs Atlanta Hawks

    Fri 00:00 UTC
    ✗ Result wrong

    Final score: San Antonio Spurs 116–123 Atlanta Hawks. Before kickoff, 10 of 10 AI models pick San Antonio Spurs to win (100%); the consensus was wrong. The AI predicted score was 118–112.

    Full breakdown, form and head-to-head →

  2. Los Angeles Lakers vs Sacramento Kings

    Fri 02:30 UTC
    ✓ Result right

    Final score: Los Angeles Lakers 114–110 Sacramento Kings. Before kickoff, 10 of 10 AI models pick Los Angeles Lakers to win (100%); the consensus was right. The AI predicted score was 118–110.

    Full breakdown, form and head-to-head →

  3. Dallas Mavericks vs Houston Rockets

    Fri 12:00 UTC
    ✗ Result wrong

    Final score: Dallas Mavericks 117–135 Houston Rockets. Before kickoff, 8 of 10 AI models pick Dallas Mavericks to win (80%); the consensus was wrong. The AI predicted score was 115–108.

    Full breakdown, form and head-to-head →

How these NBA computer picks are made

Every fixture on this page was run through the same panel of independent AI models. Each model returns a winner and a scoreline; we publish the vote split, the mean predicted score and the average confidence, then grade every model once the result is in. Open any match for recent form, head-to-head history and the full model table, or ask the council your own question.

Think of them as computer picks built from language models instead of a single formula: ten AI models read the same form, injuries and head-to-head data and pick each game straight up. When they all agree, the pick has historically been far more reliable than a split vote. Every model's record is public on the AI prediction leaderboard. Not betting advice.