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Prediction vindicated as FC St. Pauli edge out Werder Bremen 2-1.

📝 Match Report

How It Unfolded

FC St. Pauli beat Werder Bremen 2-1 at Millerntor-Stadion, Regular Season - 23, in the Bundesliga. 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 FC St. Pauli 1.25 xG and Werder Bremen 0.94 xG, a combined 2.19. The scoreboard read 2-1 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 FC St. Pauli attack 0.77 / defence 0.96 against Werder Bremen attack 0.70 / defence 0.96, drawn from 56/56 games (CurrentSeason).

On the result, the model split it FC St. Pauli 42% | Draw 31% | Werder Bremen 26%, with FC St. Pauli to win its most likely call at 42%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 38%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 66% and landed. On both teams to score, the model sat at 45% and the match saw both sides score — a miss on BTTS. Historically the two sides average 51% Over 2.5 across their same-competition games (FC St. Pauli 41%, Werder Bremen 61%), a base rate that agreed with today's over. Their combined BTTS history runs at 45%, which did not match the both-scored outcome.

Trading Patterns vs Reality

FC St. Pauli's trading profile (56 games, 27 home) set some clear expectations: BTTS lands in 41% of their matches — today it did.

Werder Bremen's trading profile (56 games, 27 away) set some clear expectations: BTTS lands in 48% of their matches — today it did.

Form vs Result

The form lines were close — FC St. Pauli 0.88 PPG, Werder Bremen 1.25 PPG — offering no strong steer, and the FC St. Pauli win broke the near-deadlock. FC St. Pauli (home/away splits) scored 2 against a 0.78 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). 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