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Venezia cruise to a comfortable 2-0 victory over Monza.

📝 Match Report

How It Unfolded

Venezia beat Monza 2-0 at Stadio Pierluigi Penzo, Regular Season - 16, in the Serie B. 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 1.64 xG and Monza 1.11 xG, a combined 2.75. The scoreboard read 2-0 for 2 actual goals. Monza landed 1.1 under their projected return. Those figures were built on strength ratings of Venezia attack 1.42 / defence 0.88 against Monza attack 1.19 / defence 0.87, drawn from 15/15 games (CurrentSeason).

On the result, the model split it Venezia 49% | Draw 27% | Monza 25%, with Venezia to win its most likely call at 49%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 52%. The game delivered 2, so it stayed under — against the model's lean. Over 1.5 had been 77% and landed. On both teams to score, the model sat at 55% and the match did not — a miss on BTTS. Historically the two sides average 46% Over 2.5 across their same-competition games (Venezia 47%, Monza 45%), a base rate that agreed with today's under. Their combined BTTS history runs at 51%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Venezia's trading profile (53 games, 26 home) set some clear expectations: BTTS lands in 51% of their matches — today it did not.

Monza's trading profile (53 games, 26 away) set some clear expectations: BTTS lands in 51% of their matches — today it did not; they fail to score in 34% of games, a blank that repeated today.

Form vs Result

The form lines were close — Venezia 1.04 PPG, Monza 0.92 PPG — offering no strong steer, and the Venezia win broke the near-deadlock. Venezia (home/away splits) conceded 0 against a 1.00 average — tighter than their form line. Monza (home/away splits) managed 0 against a 1.00 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights