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.
| Model | N (settled) | 1X2 | ダブルチャンス (1X) | Exact スコア | Composite accuracy |
|---|---|---|---|---|---|
|
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263 | 65.0%(171/263) | 74.6%(47/63) | 17.2%(35/203) | 44.2%(206/466) |
|
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2417 | 60.7%(1467/2417) | 77.3%(683/884) | 22.4%(479/2138) | 42.7%(1946/4555) |
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1109 | 60.8%(674/1109) | 73.8%(253/343) | 20.3%(196/964) | 42.0%(870/2073) |
|
|
3062 | 59.7%(1828/3060) | 74.4%(804/1080) | 20.3%(612/3020) | 40.1%(2440/6080) |
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1285 | 59.5%(765/1285) | 74.4%(302/406) | 19.5%(246/1261) | 39.7%(1011/2546) |
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175 | 60.6%(106/175) | 56.1%(23/41) | 18.5%(32/173) | 39.7%(138/348) |
|
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1237 | 59.3%(733/1237) | 75.0%(267/356) | 16.8%(196/1166) | 38.7%(929/2403) |
grey — sample <5, not representative; «—» — the モデル has not made a settled 予想 yet.
ダブルチャンス (1X) — the same ピック counts as a 勝利 if the chosen side won or the 試合 drew. Of the 1X2 losses in football/hockey: 739 draws, 794 underdog (total settled 1X2 ピック in these sports: 3173, double chance combined 75.0% (2379/3173)). The models almost always take the favorite and don't bet on a 引き分け — double chance shows how many bets are eaten specifically by draws.
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. 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» — the full final スコア was guessed correctly (H and A matched); for tennis, sets are compared; 予想 with no recognized スコア do not count toward the denominator. ダブルチャンス (1X): a ピック counts as a 勝利 if the chosen side won OR it was a 引き分け — it accounts for frequent draws that «eat» bets on the favorite. This metric is informational and is not included in composite accuracy. On «全スポーツ» we don't show total and BTTS — they're tied to the sport and make no sense in a mixed pool.
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.
Bars are AI models by version; grey/dimmed — sample <5, not representative. The snapshot is informational, not betting advice.
Where each モデル is strong: one mini-bar per applicable マーケット, with the percentage and (hits/sample).
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.