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Lecce cruise to a comfortable 1-3 victory over Parma.

📝 Match Report

How It Unfolded

Lecce beat Parma 1-3 at Stadio Ennio Tardini, Regular Season - 23, in the Serie A. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Parma 1.67 xG and Lecce 1.33 xG, a combined 3.00. The scoreboard read 1-3 for 4 actual goals. Lecce outscored their 1.33 projection by 1.7. Those figures were built on strength ratings of Parma attack 0.98 / defence 1.30 against Lecce attack 0.78 / defence 1.25, drawn from 22/60 games (CurrentSeason).

On the result, the model split it Parma 43% | Draw 28% | Lecce 29%, with Parma to win its most likely call at 43%. The actual Lecce win had been the model's second-ranked read at 29%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 58%. The game delivered 4, so it went over — a call the model got right. Over 1.5 had been 82% and landed. Over 3.5 was 35% and came in. On both teams to score, the model sat at 62% and the match saw both sides score — another call in the model's favour. Historically the two sides average 48% Over 2.5 across their same-competition games (Parma 55%, Lecce 40%), 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

Parma's trading profile (60 games, 30 home) set some clear expectations: BTTS lands in 67% of their matches — today it did.

Lecce's trading profile (60 games, 30 away) set some clear expectations: BTTS lands in 42% of their matches — today it did.

Form vs Result

On form, Parma arrived the stronger side — 1.60 PPG against 0.97. Form was overturned, with Lecce winning despite arriving in poorer recent shape. Parma (home/away splits) shipped 3 against a 1.20 concession average — a leakier day than usual. Lecce (home/away splits) scored 3 against a 0.70 average — above their attacking norm.

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). The model got the gist right while missing on the margins.

💡 Key Insights