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Empoli and Monza share the spoils in a 1-1 draw.
📝 Match Report
How It Unfolded
The points were shared at Stadio Carlo Castellani, Regular Season - 6, as Empoli and Monza drew 1-1 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 Empoli 1.73 xG and Monza 1.22 xG, a combined 2.95. The scoreboard read 1-1 for 2 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 Empoli attack 1.12 / defence 1.22 against Monza attack 0.86 / defence 1.16, drawn from 5/5 games (CurrentSeason).
On the result, the model split it Empoli 46% | Draw 30% | Monza 24%, with Empoli to win its most likely call at 46%. The actual draw had been the model's second-ranked read at 30%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 57%. The game delivered 2, so it stayed under — against the model's lean. Over 1.5 had been 83% and landed. On both teams to score, the model sat at 61% and the match saw both sides score — another call in the model's favour. Historically the two sides average 49% Over 2.5 across their same-competition games (Empoli 51%, Monza 46%), a base rate that agreed with today's under. Their combined BTTS history runs at 55%, which matched the both-scored outcome.
Trading Patterns vs Reality
Empoli's trading profile (43 games, 21 home) set some clear expectations: BTTS lands in 58% of their matches — today it did.
Monza's trading profile (43 games, 21 away) set some clear expectations: BTTS lands in 51% of their matches — today it did.
Form vs Result
The form lines were close — Empoli 0.84 PPG, Monza 0.58 PPG — offering no strong steer, and the draw fit that even billing. Monza (home/away splits) conceded 1 against a 1.95 average — tighter than their form line.
Verdict
Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit). 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
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.