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Padova and Sudtirol share the spoils in a 1-1 draw.
📝 Match Report
How It Unfolded
Padova and Sudtirol finished level at 1-1 at Stadio Euganeo, Regular Season - 11, 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 Padova 1.37 xG and Sudtirol 1.32 xG, a combined 2.69. 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 Padova attack 0.92 / defence 1.27 against Sudtirol attack 0.91 / defence 1.09, drawn from 10/48 games (CurrentSeason).
On the result, the model split it Padova 34% | Draw 33% | Sudtirol 32%, with Padova to win its most likely call at 34%. The actual draw had been the model's second-ranked read at 33%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 50%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 79% and landed. On both teams to score, the model sat at 58% and the match saw both sides score — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (Padova 50%, Sudtirol 50%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 65%, which matched the both-scored outcome.
Trading Patterns vs Reality
Padova's trading profile (10 games, 4 home) set some clear expectations: BTTS lands in 60% of their matches — today it did; they keep a clean sheet 30% of the time, and conceded here.
Sudtirol's trading profile (10 games, 4 away) set some clear expectations: BTTS lands in 70% of their matches — today it did.
Form vs Result
The form lines were close — Padova 1.30 PPG, Sudtirol 1.00 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 (miss), BTTS (hit). 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
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.