🤖 AI benchmark: hit-rate of 7 models

Prematch ライブ (in-play)

Seven external AI models (Hermes contour) independently analyze the same 試合 — predicting the 結果 (1X2), total (オーバー/アンダー), both チーム to スコア (BTTS) and the exact スコア. Here we honestly compare their 予想 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 予想 are excluded). The sample is still small and not representative. Right now the snapshot holds 1072 試合(es), 3772 settled AI 予想 (テニス). The figures below are N, not «a percentage you can trust»: the more 試合 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 · テニス

Model	N (settled)	1X2	Exact スコア (by sets)	Composite accuracy
ChatGPT	106	71.7%(76/106)	33.3%(28/84)	54.7%(104/190)
Claude	799	66.1%(528/799)	35.8%(266/743)	51.5%(794/1542)
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)
Google AI	1100	64.8%(713/1100)	35.6%(388/1089)	50.3%(1101/2189)
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 モデル has not made a settled 予想 yet.

Composite accuracy — the share of correct 予想横断 all 表示マーケット together: (sum of correct ピック) ÷ (sum of all settled ピック) 横断 the マーケット 1X2 + Exact スコア (by sets). Each マーケット-ピック weighs equally. This is hit-rate, not profitability — for money/ROI by モデル see /ai-agent. «Exact スコア (by sets)» — the full final スコア was guessed correctly (H and A matched) by sets; 予想 with no recognized スコア do not count toward the denominator.

Composite モデル rating · all マーケット · テニス

Bar height = the モデル's composite accuracy 横断 all applicable マーケット on the current sample. Sorted from best to worst.

54.7% (104/190)

GPT 5.5

51.5% (794/1542)

Opus 4.8

51.5% (491/953)

Kimi 2.6

51.2% (85/166)

DeepSeek V4 Pro

50.3% (1101/2189)

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 マーケット · テニス

Where each モデル is strong: one mini-bar per applicable マーケット, with the percentage and (hits/sample).

ChatGPT Composite 54.7%

1X2

71.7% (76/106)

Exact スコア (by sets)

33.3% (28/84)

Claude Composite 51.5%

1X2

66.1% (528/799)

Exact スコア (by sets)

35.8% (266/743)

Kimi Composite 51.5%

1X2

66.9% (340/508)

Exact スコア (by sets)

33.9% (151/445)

DeepSeek Composite 51.2%

1X2

69.0% (58/84)

Exact スコア (by sets)

32.9% (27/82)

Google AI Composite 50.3%

1X2

64.8% (713/1100)

Exact スコア (by sets)

35.6% (388/1089)

GLM 5.2 Composite 49.5%

1X2

63.5% (364/573)

Exact スコア (by sets)

35.1% (196/559)

Qwen Composite 45.6%

1X2

62.5% (376/602)

Exact スコア (by sets)

28.2% (163/579)

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