🤖 AI benchmark: hit-rate of 7 models

Prematch Live (in-play)

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 2658 partita(es), 8985 settled AI pronostici (Football, Tennis, Basketball, Volleyball, Hockey, Tabella tennis). 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».

Leaderboard

Model N (settled) 1X2 Doppia chance (1X) Exact punteggio Composite accuracy
ChatGPT
263 65.0%(171/263) 74.6%(47/63) 17.2%(35/203) 44.2%(206/466)
Claude
2138 61.4%(1312/2138) 77.7%(593/763) 21.9%(407/1859) 43.0%(1719/3997)
Kimi
1109 60.8%(674/1109) 73.8%(253/343) 20.3%(196/964) 42.0%(870/2073)
Google AI
2778 60.4%(1676/2776) 74.8%(717/958) 20.1%(550/2736) 40.4%(2226/5512)
GLM 5.2
1285 59.5%(765/1285) 74.4%(302/406) 19.5%(246/1261) 39.7%(1011/2546)
DeepSeek
175 60.6%(106/175) 56.1%(23/41) 18.5%(32/173) 39.7%(138/348)
Qwen
1237 59.3%(733/1237) 75.0%(267/356) 16.8%(196/1166) 38.7%(929/2403)

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

Doppia chance (1X) — the same pronostico counts as a vittoria if the chosen side won or the partita drew. Of the 1X2 losses in football/hockey: 671 draws, 728 underdog (total settled 1X2 pronostici in these sports: 2930, double chance combined 75.2% (2202/2930)). The models almost always take the favorite and don't bet on a pareggio — double chance shows how many bets are eaten specifically by draws.

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); for tennis, sets are compared; pronostici with no recognized punteggio do not count toward the denominator. Doppia chance (1X): a pronostico counts as a vittoria if the chosen side won OR it was a pareggio — it accounts for frequent draws that «eat» bets on the favorite. This metric is informational and is not included in composite accuracy. On «Tutti gli sport» we don't show total and BTTS — they're tied to the sport and make no sense in a mixed pool.

Composite model rating · all mercati

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

44.2% (206/466)
GPT 5.5
43.0% (1719/3997)
Opus 4.8
42.0% (870/2073)
Kimi 2.6
40.4% (2226/5512)
Gemini 3.5 Flash
39.7% (1011/2546)
GLM 5.2
39.7% (138/348)
DeepSeek V4 Pro
38.7% (929/2403)
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 mercato

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

ChatGPT Composite 44.2%
1X2
65.0% (171/263)
Exact punteggio
17.2% (35/203)
Claude Composite 43.0%
1X2
61.4% (1312/2138)
Exact punteggio
21.9% (407/1859)
Kimi Composite 42.0%
1X2
60.8% (674/1109)
Exact punteggio
20.3% (196/964)
Google AI Composite 40.4%
1X2
60.4% (1676/2776)
Exact punteggio
20.1% (550/2736)
GLM 5.2 Composite 39.7%
1X2
59.5% (765/1285)
Exact punteggio
19.5% (246/1261)
DeepSeek Composite 39.7%
1X2
60.6% (106/175)
Exact punteggio
18.5% (32/173)
Qwen Composite 38.7%
1X2
59.3% (733/1237)
Exact punteggio
16.8% (196/1166)

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.