Serie A | Friday, 28 August 2026 | 18:45 GMT

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AC Milan

At home in their last 10 games, AC Milan has a W/D/L record of 1/1/3, scoring 6 goals and conceding 10. The individual scorelines are: L 1-2 vs Cagliari, L 2-3 vs Atalanta, D 0-0 vs Juventus, L 0-3 vs Udinese, W 3-2 vs Torino. Over their last 10 games overall (home and away), they have a W/D/L record of 4/1/5, scoring 11 goals and conceding 15.

Venezia

Away in their last 10 games, Venezia has a W/D/L record of 1/4/0, scoring 7 goals and conceding 4. The individual scorelines are: D 2-2 vs Spezia, W 3-0 vs Bari, D 1-1 vs Virtus Entella, D 1-1 vs Monza, D 0-0 vs Sampdoria. Over their last 10 games overall (home and away), they have a W/D/L record of 5/4/1, scoring 17 goals and conceding 8.

What the Numbers Say

The primary model gives Venezia a 61% likelihood of winning at AC Milan. This makes them the standout acca leg on today's card. The model's win probabilities are 16.8% for AC Milan, 21.7% for a draw, and 61.4% for Venezia. A second independent model also agrees on the direction, reinforcing Venezia's chances.

Turning to the price, Venezia is available at 7.50, but the model's fair odds are 1.63, creating a value edge of +360.2%. This is why the fixture carries a 2* value rating. The sG (signal goals) for Venezia is 1.91, significantly higher than AC Milan's 0.86. The probability of both teams scoring is 55%, and over 2.5 goals is 52%, suggesting an open game. Venezia's superior attacking threat and AC Milan's defensive vulnerabilities are key factors here. BetSignals surfaces the numbers; the decision is yours.

Player Intelligence

The most striking category across both teams is shots on target per 90 minutes. Venezia leads with a top player at 2.133, compared to AC Milan's highest at 1.402. The second most striking category is fouls drawn per 90 minutes, where Venezia again tops the chart with a player at 2.25, versus AC Milan's highest at 1.613. Log in or create a free account to see the full player-level breakdown on BetSignals and dive deeper into the data for your own analysis.