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Prediction vindicated as Fiorentina edge out Lecce 1-0.

📝 Match Report

How It Unfolded

Fiorentina beat Lecce 1-0 at Stadio Artemio Franchi, Regular Season - 27, 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 Fiorentina 1.67 xG and Lecce 1.05 xG, a combined 2.72. The scoreboard read 1-0 for 1 actual goal. Lecce landed 1.1 under their projected return. Those figures were built on strength ratings of Fiorentina attack 1.11 / defence 1.01 against Lecce attack 0.85 / defence 1.12, drawn from 64/64 games (CurrentSeason).

On the result, the model split it Fiorentina 50% | Draw 27% | Lecce 22%, with Fiorentina to win its most likely call at 50%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 51%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 54% and the match did not — a miss on BTTS. Historically the two sides average 47% Over 2.5 across their same-competition games (Fiorentina 55%, Lecce 39%), a base rate that agreed with today's under. Their combined BTTS history runs at 48%, which matched the one-sided outcome.

Trading Patterns vs Reality

Fiorentina's trading profile (64 games, 32 home) set some clear expectations: BTTS lands in 55% of their matches — today it did not.

Lecce's trading profile (64 games, 32 away) set some clear expectations: BTTS lands in 41% of their matches — today it did not; they fail to score in 47% of games, a blank that repeated today.

Form vs Result

On form, Fiorentina arrived the stronger side — 1.59 PPG against 0.98. That form edge translated into the three points. Fiorentina (home/away splits) managed 1 against a 1.84 scoring average — below par going forward and conceded 0 against a 1.16 average — tighter than their form line.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights