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Prediction vindicated as Cesena edge out Venezia 1-2.

📝 Match Report

How It Unfolded

Cesena beat Venezia 1-2 at Stadio Pierluigi Penzo, Regular Season - 4, in the Serie B. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Venezia 1.11 xG and Cesena 1.47 xG, a combined 2.58. The scoreboard read 1-2 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Venezia attack 0.95 / defence 1.16 against Cesena attack 1.22 / defence 0.98, drawn from 3/41 games (CurrentSeason).

On the result, the model split it Venezia 25% | Draw 33% | Cesena 42%, with Cesena to win its most likely call at 42%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 48%. The game delivered 3, so it went over — a miss for the goals model. Over 1.5 had been 77% and landed. On both teams to score, the model sat at 55% and the match saw both sides score — another call in the model's favour. Historically the two sides average 41% Over 2.5 across their same-competition games (Venezia 44%, Cesena 39%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 54%, which matched the both-scored outcome.

Trading Patterns vs Reality

Venezia's trading profile (41 games, 20 home) set some clear expectations: BTTS lands in 51% of their matches — today it did.

Cesena's trading profile (41 games, 20 away) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Form vs Result

On form, Cesena arrived the stronger side — 1.39 PPG against 0.83. The form guide was vindicated by the result. Venezia (home/away splits) shipped 2 against a 1.15 concession average — a leakier day than usual. Cesena (home/away splits) scored 2 against a 1.10 average — above their attacking norm.

Verdict

Grading the result against the stored data, 3 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights