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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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Empoli and Reggiana share the spoils in a 1-1 draw.

📝 Match Report

How It Unfolded

The points were shared at Stadio Carlo Castellani, Regular Season - 25, as Empoli and Reggiana drew 1-1 in the Serie B. 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 Empoli 1.30 xG and Reggiana 0.94 xG, a combined 2.24. 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 0.91 / defence 1.06 against Reggiana attack 0.83 / defence 1.12, drawn from 24/62 games (CurrentSeason).

On the result, the model split it Empoli 44% | Draw 30% | Reggiana 26%, with Empoli to win its most likely call at 44%. 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 39%. The game delivered 2, so it stayed under — a call the model got right. Over 1.5 had been 66% and landed. On both teams to score, the model sat at 45% and the match saw both sides score — a miss on BTTS. Historically the two sides average 49% Over 2.5 across their same-competition games (Empoli 48%, Reggiana 50%), a base rate that agreed with today's under. Their combined BTTS history runs at 56%, which matched the both-scored outcome.

Trading Patterns vs Reality

Empoli's trading profile (62 games, 31 home) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Reggiana's trading profile (62 games, 31 away) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Form vs Result

The form lines were close — Empoli 0.95 PPG, Reggiana 1.10 PPG — offering no strong steer, and the draw fit that even billing.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights