🤖 AI benchmark: hit-rate of 7 models

Prematch En directo (in-play)

Seven external AI models (Hermes contour) independently analyze the same partidos — predicting the resultado (1X2), total (Más de/Menos de), both equipos to marcador (BTTS) and the exact marcador. Here we honestly compare their pronósticos 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 pronósticos are excluded). The sample is still small and not representative. Right now the snapshot holds 973 partido(es), 3563 settled AI pronósticos (Tennis). The figures below are N, not «a percentage you can trust»: the more partidos 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 · Tennis

Model	N (settled)	1X2	Exact marcador (by sets)	Composite accuracy
ChatGPT	106	71.7%(76/106)	33.3%(28/84)	54.7%(104/190)
Kimi	508	66.9%(340/508)	33.9%(151/445)	51.5%(491/953)
DeepSeek	84	69.0%(58/84)	32.9%(27/82)	51.2%(85/166)
Claude	695	65.3%(454/695)	34.4%(220/639)	50.5%(674/1334)
Google AI	995	64.6%(643/995)	35.6%(350/984)	50.2%(993/1979)
GLM 5.2	573	63.5%(364/573)	35.1%(196/559)	49.5%(560/1132)
Qwen	602	62.5%(376/602)	28.2%(163/579)	45.6%(539/1181)

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

Composite accuracy — the share of correct pronósticos en all mostrado mercados together: (sum of correct pronósticos) ÷ (sum of all settled pronósticos) en the mercados 1X2 + Exact marcador (by sets). Each mercado-pronóstico weighs equally. This is hit-rate, not profitability — for money/ROI by model see /ai-agent. «Exact marcador (by sets)» — the full final marcador was guessed correctly (H and A matched) by sets; pronósticos with no recognized marcador do not count toward the denominator.

Composite model rating · all mercados · Tennis

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

54.7% (104/190)

GPT 5.5

51.5% (491/953)

Kimi 2.6

51.2% (85/166)

DeepSeek V4 Pro

50.5% (674/1334)

Opus 4.8

50.2% (993/1979)

Gemini 3.5 Flash

49.5% (560/1132)

GLM 5.2

45.6% (539/1181)

Qwen 3.7 Plus

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

Accuracy by mercado · Tennis

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

ChatGPT Composite 54.7%

1X2

71.7% (76/106)

Exact marcador (by sets)

33.3% (28/84)

Kimi Composite 51.5%

1X2

66.9% (340/508)

Exact marcador (by sets)

33.9% (151/445)

DeepSeek Composite 51.2%

1X2

69.0% (58/84)

Exact marcador (by sets)

32.9% (27/82)

Claude Composite 50.5%

1X2

65.3% (454/695)

Exact marcador (by sets)

34.4% (220/639)

Google AI Composite 50.2%

1X2

64.6% (643/995)

Exact marcador (by sets)

35.6% (350/984)

GLM 5.2 Composite 49.5%

1X2

63.5% (364/573)

Exact marcador (by sets)

35.1% (196/559)

Qwen Composite 45.6%

1X2

62.5% (376/602)

Exact marcador (by sets)

28.2% (163/579)

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