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Prediction vindicated as Inter edge out Hellas Verona 1-2.

📝 Match Report

How It Unfolded

Inter beat Hellas Verona 1-2 at Stadio Marcantonio Bentegodi, Regular Season - 10, 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 Hellas Verona 1.07 xG and Inter 1.44 xG, a combined 2.51. The scoreboard read 1-2 for 3 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 Hellas Verona attack 0.84 / defence 1.07 against Inter attack 1.28 / defence 1.08, drawn from 47/47 games (CurrentSeason).

On the result, the model split it Hellas Verona 26% | Draw 30% | Inter 43%, with Inter to win its most likely call at 43%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 46%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 73% and landed. On both teams to score, the model sat at 52% and the match saw both sides score — another call in the model's favour. Historically the two sides average 52% Over 2.5 across their same-competition games (Hellas Verona 45%, Inter 60%), a base rate that agreed with today's over. Their combined BTTS history runs at 46%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Hellas Verona's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 43% of their matches — today it did.

Inter's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 49% of their matches — today it did; they keep a clean sheet 43% of the time, and conceded here.

Form vs Result

On form, Inter arrived the stronger side — 2.11 PPG against 0.89. That form edge translated into the three points.

Verdict

Grading the result against the stored data, 3 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights