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Prediction vindicated as Parma edge out Pisa 1-0.

📝 Match Report

How It Unfolded

Parma beat Pisa 1-0 at Stadio Ennio Tardini, Regular Season - 34, 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 1.52 xG and Pisa 0.95 xG, a combined 2.47. The scoreboard read 1-0 for 1 actual goal. Pisa landed 0.9 under their projected return. Those figures were built on strength ratings of Parma attack 0.74 / defence 1.15 against Pisa attack 0.72 / defence 1.62, drawn from 71/33 games (CurrentSeason).

On the result, the model split it Parma 51% | Draw 26% | Pisa 24%, with Parma to win its most likely call at 51%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 45%. The game delivered 1, so it stayed under — a call the model got right. Over 1.5 had been 71% and missed. On both teams to score, the model sat at 48% and the match did not — another call in the model's favour. Historically the two sides average 48% Over 2.5 across their same-competition games (Parma 44%, Pisa 52%), a base rate that agreed with today's under. Their combined BTTS history runs at 52%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Parma's trading profile (71 games, 35 home) set some clear expectations: BTTS lands in 55% of their matches — today it did not.

Pisa's trading profile (71 games, 35 away) set some clear expectations: BTTS lands in 49% of their matches — today it did not; they fail to score in 38% of games, a blank that repeated today.

Form vs Result

The form lines were close — Parma 1.06 PPG, Pisa 1.30 PPG — offering no strong steer, and the Parma win broke the near-deadlock. Parma (home/away splits) conceded 0 against a 1.43 average — tighter than their form line. Pisa (home/away splits) managed 0 against a 1.17 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). The numbers read this fixture well — the outcome largely followed the script the data laid out beforehand.

💡 Key Insights