🤖 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 910 partita(es), 2962 settled AI pronostici (Football). 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 · Football

Model N (settled) 1X2 Doppia chance (1X) Total gol BTTS Exact punteggio Composite accuracy
ChatGPT
63 58.7%(37/63) 74.6%(47/63) 67.4%(31/46) 59.6%(28/47) 10.2%(5/49) 49.3%(101/205)
Claude
779 54.9%(428/779) 77.8%(606/779) 64.1%(423/660) 57.7%(381/660) 15.7%(104/662) 48.4%(1336/2761)
DeepSeek
41 46.3%(19/41) 56.1%(23/41) 61.5%(24/39) 61.5%(24/39) 9.8%(4/41) 44.4%(71/160)
Google AI
974 52.7%(513/973) 74.6%(726/973) 59.6%(562/943) 54.5%(420/770) 11.1%(107/968) 43.8%(1602/3654)
GLM 5.2
406 50.2%(204/406) 74.4%(302/406) 55.7%(221/397) 52.8%(209/396) 9.8%(39/398) 42.1%(673/1597)
Qwen
356 48.9%(174/356) 75.0%(267/356) 52.9%(176/333) 52.3%(171/327) 7.8%(26/335) 40.5%(547/1351)
Kimi
343 49.3%(169/343) 73.8%(253/343) 50.7%(155/306) 48.5%(149/307) 9.7%(30/309) 39.8%(503/1265)

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: 680 draws, 737 underdog (total settled 1X2 pronostici in these sports: 2961, double chance combined 75.1% (2224/2961)). 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 + Total gol + BTTS + Exact punteggio. Each mercato-pronostico weighs equally. This is hit-rate, not profitability — for money/ROI by model see /ai-agent. Total: a push (punteggio exactly sulla quota) is excluded from the denominator. BTTS is checked against whether both squadre scored. «Exact punteggio» — the full final punteggio was guessed correctly (H and A matched); 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.

Composite model rating · all mercati · Football

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

49.3% (101/205)
GPT 5.5
48.4% (1336/2761)
Opus 4.8
44.4% (71/160)
DeepSeek V4 Pro
43.8% (1602/3654)
Gemini 3.5 Flash
42.1% (673/1597)
GLM 5.2
40.5% (547/1351)
Qwen 3.7 Plus
39.8% (503/1265)
Kimi 2.6

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

Accuracy by mercato · Football

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

ChatGPT Composite 49.3%
1X2
58.7% (37/63)
Total gol
67.4% (31/46)
BTTS
59.6% (28/47)
Exact punteggio
10.2% (5/49)
Claude Composite 48.4%
1X2
54.9% (428/779)
Total gol
64.1% (423/660)
BTTS
57.7% (381/660)
Exact punteggio
15.7% (104/662)
DeepSeek Composite 44.4%
1X2
46.3% (19/41)
Total gol
61.5% (24/39)
BTTS
61.5% (24/39)
Exact punteggio
9.8% (4/41)
Google AI Composite 43.8%
1X2
52.7% (513/973)
Total gol
59.6% (562/943)
BTTS
54.5% (420/770)
Exact punteggio
11.1% (107/968)
GLM 5.2 Composite 42.1%
1X2
50.2% (204/406)
Total gol
55.7% (221/397)
BTTS
52.8% (209/396)
Exact punteggio
9.8% (39/398)
Qwen Composite 40.5%
1X2
48.9% (174/356)
Total gol
52.9% (176/333)
BTTS
52.3% (171/327)
Exact punteggio
7.8% (26/335)
Kimi Composite 39.8%
1X2
49.3% (169/343)
Total gol
50.7% (155/306)
BTTS
48.5% (149/307)
Exact punteggio
9.7% (30/309)

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.