🤖 AI benchmark: hit-rate of 7 models

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Seven external AI models (Hermes contour) independently analyze the same partite — predicting the esito (1X2), total (Over/Under), both squadre to punteggio (BTTS) and the exact punteggio. Here we honestly compare their pronostici against the real result after the final whistle and combine everything into a single accuracy rating. An informational and analytical snapshot, not betting advice.

⚠️ Data is still accumulating — counting starts from 09.07.2026, so all models are compared on the same events (early test pronostici are excluded). The sample is still small and not representative. Right now the snapshot holds 119 partita(es), 480 settled AI pronostici (Volleyball). The figures below are N, not «a percentage you can trust»: the more partite are played out, the more reliable the snapshot becomes. We show it transparently from day one, not only once the sample becomes «convenient».

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Leaderboard · Volleyball

Model	N (settled)	1X2	Exact punteggio	Composite accuracy
Kimi	63	65.1%(41/63)	31.9%(15/47)	50.9%(56/110)
ChatGPT	18	66.7%(12/18)	18.2%(2/11)	48.3%(14/29)
Claude	98	65.3%(64/98)	19.5%(15/77)	45.1%(79/175)
DeepSeek	13	76.9%(10/13)	7.7%(1/13)	42.3%(11/26)
Google AI	124	64.5%(80/124)	19.4%(24/124)	41.9%(104/248)
Qwen	82	69.5%(57/82)	7.9%(6/76)	39.9%(63/158)
GLM 5.2	82	65.9%(54/82)	11.0%(9/82)	38.4%(63/164)

grey — sample <5, not representative; «—» — the model has not made a settled pronostico yet.

Composite accuracy — the share of correct pronostici su all mostrato mercati together: (sum of correct pronostici) ÷ (sum of all settled pronostici) su the mercati 1X2 + Exact punteggio. Each mercato-pronostico weighs equally. This is hit-rate, not profitability — for money/ROI by model see /ai-agent. «Exact punteggio» — the full final punteggio was guessed correctly (H and A matched); pronostici with no recognized punteggio do not count toward the denominator.

Composite model rating · all mercati · Volleyball

Bar height = the model's composite accuracy su all applicable mercati on the current sample. Sorted from best to worst.

50.9% (56/110)

Kimi 2.6

48.3% (14/29)

GPT 5.5

45.1% (79/175)

Opus 4.8

42.3% (11/26)

DeepSeek V4 Pro

41.9% (104/248)

Gemini 3.5 Flash

39.9% (63/158)

Qwen 3.7 Plus

38.4% (63/164)

GLM 5.2

Bars are AI models by version; grey/dimmed — sample <5, not representative. The snapshot is informational, not betting advice.

Accuracy by mercato · Volleyball

Where each model is strong: one mini-bar per applicable mercato, with the percentage and (hits/sample).

Kimi Composite 50.9%

1X2

65.1% (41/63)

Exact punteggio

31.9% (15/47)

ChatGPT Composite 48.3%

1X2

66.7% (12/18)

Exact punteggio

18.2% (2/11)

Claude Composite 45.1%

1X2

65.3% (64/98)

Exact punteggio

19.5% (15/77)

DeepSeek Composite 42.3%

1X2

76.9% (10/13)

Exact punteggio

7.7% (1/13)

Google AI Composite 41.9%

1X2

64.5% (80/124)

Exact punteggio

19.4% (24/124)

Qwen Composite 39.9%

1X2

69.5% (57/82)

Exact punteggio

7.9% (6/76)

GLM 5.2 Composite 38.4%

1X2

65.9% (54/82)

Exact punteggio

11.0% (9/82)

The model's favorite by 1X2 = the max of P1/X/P2 in its probabilities; for sports without a pareggio (tennis, volleyball, etc.) the «X» option doesn't participate. grey — sample <5, not representative. Not betting advice.