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Prediction vindicated as Venezia edge out Monza 1-0.

📝 Match Report

How It Unfolded

Venezia beat Monza 1-0 at Stadio Pier Luigi Penzo, Regular Season - 32, in the Serie A. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Venezia 1.21 xG and Monza 0.88 xG, a combined 2.08. The scoreboard read 1-0 for 1 actual goal. Monza landed 0.9 under their projected return. Those figures were built on strength ratings of Venezia attack 0.62 / defence 0.93 against Monza attack 0.80 / defence 1.56, drawn from 31/69 games (CurrentSeason).

On the result, the model split it Venezia 42% | Draw 33% | Monza 25%, with Venezia to win its most likely call at 42%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 35%. The game delivered 1, so it stayed under — in line with the projection. Over 1.5 had been 63% and missed. On both teams to score, the model sat at 43% and the match did not — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (Venezia 55%, Monza 45%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 53%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Venezia's trading profile (69 games, 34 home) set some clear expectations: BTTS lands in 55% of their matches — today it did not.

Monza's trading profile (69 games, 34 away) set some clear expectations: BTTS lands in 51% of their matches — today it did not; they fail to score in 38% of games, a blank that repeated today.

Form vs Result

On form, Venezia arrived the stronger side — 1.35 PPG against 0.87. Form held, and they took the win. Venezia (home/away splits) conceded 0 against a 1.21 average — tighter than their form line. Monza (home/away splits) managed 0 against a 0.85 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights