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Prediction vindicated as Padova edge out Pescara 1-0.

📝 Match Report

How It Unfolded

Padova beat Pescara 1-0 at Stadio Euganeo, Regular Season - 37, in the Serie B. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Padova 1.38 xG and Pescara 1.35 xG, a combined 2.73. The scoreboard read 1-0 for 1 actual goal. Pescara landed 1.4 under their projected return. Those figures were built on strength ratings of Padova attack 0.75 / defence 1.11 against Pescara attack 1.13 / defence 1.34, drawn from 36/36 games (CurrentSeason).

On the result, the model split it Padova 36% | Draw 30% | Pescara 34%, with Padova to win its most likely call at 36%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 51%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 78% and missed. On both teams to score, the model sat at 58% and the match did not — a miss on BTTS. Historically the two sides average 53% Over 2.5 across their same-competition games (Padova 39%, Pescara 67%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 58%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Padova's trading profile (36 games, 18 home) set some clear expectations: BTTS lands in 50% of their matches — today it did not.

Pescara's trading profile (36 games, 18 away) set some clear expectations: BTTS lands in 67% of their matches — today it did not.

Form vs Result

The form lines were close — Padova 1.11 PPG, Pescara 0.94 PPG — offering no strong steer, and the Padova win broke the near-deadlock. Padova (home/away splits) conceded 0 against a 1.22 average — tighter than their form line. Pescara (home/away splits) managed 0 against a 1.28 scoring average — below par going forward and conceded 1 against a 2.17 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights