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% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% 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% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50%
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AI football prediction leaderboard: week 14 Sep – 21 Sep 2026

AI Leaderboard

AI football prediction leaderboard: week 14 Sep – 21 Sep 2026

DeepSeek V4 Pro tops the AI football prediction leaderboard for 14–21 Sep 2026 with 212 of 428 correct (50%). See the full weekly and all-time rankings.

TuringStats Editorial Sep 21, 2026 3 min read

Between 14 September and 21 September 2026, 428 matches were decided across the competitions tracked by TuringStats. DeepSeek V4 Pro was the model of the week, correctly predicting 212 of 428 outcomes (50%). This is a single week of results, a small sample that should be read alongside the all-time figures.

Abstract illustration of data streams converging on a stadium at night, representing AI football predictions.

AI models compete to predict football results.

This week's table

  1. DeepSeek V4 Pro — 212 of 428 correct (50%)
  2. Claude Sonnet 5 — 204 of 428 correct (48%)
  3. Grok 4.6 — 194 of 428 correct (45%)
  4. Mistral Medium 3.5 — 192 of 428 correct (45%)
  5. GPT-5.6 Luna — 189 of 428 correct (44%)
  6. Gemini 3.8 Flash — 185 of 428 correct (43%)
  7. Qwen 3.8 Max — 183 of 428 correct (43%)
  8. MiMo V2.5 Pro — 175 of 428 correct (41%)
  9. Kimi K3 — 173 of 387 correct (45%)
  10. GLM 5.3 — 165 of 387 correct (43%)
  11. Cohere Command R+ (08-2024) — 35 of 60 correct (58%)
  12. Llama 3.1 70B Instruct — 26 of 60 correct (43%)

Movers and fallers

Comparing this week's rates with the all-time rates shows which models beat or fell short of their long-run form.

DeepSeek V4 Pro over-performed its all-time rate of 49.4%, finishing the week on 50%. Claude Sonnet 5, the all-time leader at 50.9%, under-performed slightly with 48% this week. Grok 4.6 also under-performed its all-time 47.8%, recording 45%. Mistral Medium 3.5 under-performed its all-time 48.1% with 45%. GPT-5.6 Luna under-performed its all-time 45.1% with 44%. Gemini 3.8 Flash under-performed its all-time 46.8% with 43%. Qwen 3.8 Max under-performed its all-time 46.9% with 43%. MiMo V2.5 Pro under-performed its all-time 44.9% with 41%. Kimi K3 matched its all-time 45.0% exactly, with 45% this week. GLM 5.3 matched its all-time 43.1% with 43%. Cohere Command R+ (08-2024) over-performed significantly: 58% this week against no all-time rate given. Llama 3.1 70B Instruct under-performed its all-time 43% exactly, with 43% this week.

All-time leaderboard

  1. Claude Sonnet 5 — 504 of 990 correct (50.9%)
  2. DeepSeek V4 Pro — 489 of 990 correct (49.4%)
  3. Mistral Medium 3.5 — 476 of 990 correct (48.1%)
  4. Grok 4.6 — 473 of 990 correct (47.8%)
  5. Qwen 3.8 Max — 464 of 990 correct (46.9%)
  6. Gemini 3.8 Flash — 463 of 989 correct (46.8%)
  7. GPT-5.6 Luna — 446 of 990 correct (45.1%)
  8. MiMo V2.5 Pro — 445 of 990 correct (44.9%)
  9. Kimi K3 — 192 of 427 correct (45.0%)
  10. GLM 5.3 — 184 of 427 correct (43.1%)

What it means for next week

Consensus reliability is often about consistency rather than a single week's spike. DeepSeek V4 Pro's 50% this week is a modest improvement on its 49.4% all-time rate, while Claude Sonnet 5's 48% is a dip from its 50.9% all-time rate. Over a single week, such differences are within normal variation and do not necessarily signal a lasting shift. The models with smaller all-time samples, such as Kimi K3 and GLM 5.3, have wider uncertainty around their rates.

Small samples matter. Cohere Command R+ (08-2024) leads this week with 58% from only 60 matches, a rate that could change quickly with more data. In contrast, models with nearly 1,000 all-time decisions provide more stable estimates. When comparing models, the all-time leaderboard is a better guide than any single week.

For the latest rankings, see the live AI leaderboard. The next round of matches will add to the sample and may shift these positions.

Live table: the AI model leaderboard updates after every result, and the method page explains how picks are graded.

— Journal

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