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Prediction vindicated as Monza edge out Cesena 1-0.

📝 Match Report

How It Unfolded

Monza beat Cesena 1-0 at Brianteo, Regular Season - 13, 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 Monza 1.11 xG and Cesena 1.06 xG, a combined 2.17. The scoreboard read 1-0 for 1 actual goal. Cesena landed 1.1 under their projected return. Those figures were built on strength ratings of Monza attack 0.93 / defence 0.89 against Cesena attack 1.09 / defence 0.89, drawn from 12/50 games (CurrentSeason).

On the result, the model split it Monza 33% | Draw 36% | Cesena 31%, with the draw its most likely call at 36%. The actual Monza win had been the model's second-ranked read at 33%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 37%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 67% and missed. On both teams to score, the model sat at 47% and the match did not — another call in the model's favour. Historically the two sides average 45% Over 2.5 across their same-competition games (Monza 46%, Cesena 44%), a base rate that agreed with today's under. Their combined BTTS history runs at 54%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Monza's trading profile (50 games, 25 home) set some clear expectations: BTTS lands in 50% of their matches — today it did not.

Cesena's trading profile (50 games, 25 away) set some clear expectations: BTTS lands in 58% of their matches — today it did not.

Form vs Result

On form, Cesena arrived the stronger side — 1.46 PPG against 0.88. Form was overturned, with Monza winning despite arriving in poorer recent shape. Monza (home/away splits) conceded 0 against a 1.36 average — tighter than their form line. Cesena (home/away splits) managed 0 against a 1.12 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit), form (miss). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights