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Prediction vindicated as Torino edge out Pisa 0-1.

📝 Match Report

How It Unfolded

Torino beat Pisa 0-1 at Arena Garibaldi - Stadio Romeo Anconetani, Regular Season - 31, 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 Pisa 1.28 xG and Torino 1.31 xG, a combined 2.59. The scoreboard read 0-1 for 1 actual goal. Pisa fell 1.3 short of their projected output. Those figures were built on strength ratings of Pisa attack 0.72 / defence 1.16 against Torino attack 0.96 / defence 1.41, drawn from 30/68 games (CurrentSeason).

On the result, the model split it Pisa 36% | Draw 26% | Torino 38%, with Torino to win its most likely call at 38%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 48%. The game delivered 1, so it stayed under — a call the model got right. Over 1.5 had been 73% and missed. On both teams to score, the model sat at 53% and the match did not — a miss on BTTS. Historically the two sides average 47% Over 2.5 across their same-competition games (Pisa 52%, Torino 43%), a base rate that agreed with today's under. Their combined BTTS history runs at 49%, which matched the one-sided outcome.

Trading Patterns vs Reality

Pisa's trading profile (68 games, 34 home) set some clear expectations: BTTS lands in 50% of their matches — today it did not; they fail to score in 37% of games, a blank that repeated today.

Torino's trading profile (68 games, 34 away) set some clear expectations: BTTS lands in 47% of their matches — today it did not.

Form vs Result

The form lines were close — Pisa 1.35 PPG, Torino 1.13 PPG — offering no strong steer, and the Torino win broke the near-deadlock. Pisa (home/away splits) managed 0 against a 1.29 scoring average — below par going forward. Torino (home/away splits) conceded 0 against a 1.68 average — tighter than their form line.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (miss). The model got the gist right while missing on the margins.

💡 Key Insights