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Prediction vindicated as Grazer AK edge out FC BW Linz 2-1.

📝 Match Report

How It Unfolded

Grazer AK beat FC BW Linz 2-1 at Merkur-Arena, Relegation Group - 25, 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 Grazer AK 1.46 xG and FC BW Linz 0.93 xG, a combined 2.38. 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 Grazer AK attack 1.05 / defence 1.04 against FC BW Linz attack 0.77 / defence 1.03, drawn from 44/44 games (CurrentSeason).

On the result, the model split it Grazer AK 49% | Draw 28% | FC BW Linz 23%, with Grazer AK to win its most likely call at 49%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 43%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 70% and landed. On both teams to score, the model sat at 47% and the match saw both sides score — a miss on BTTS. Historically the two sides average 54% Over 2.5 across their same-competition games (Grazer AK 55%, FC BW Linz 54%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Grazer AK's trading profile (56 games, 28 home) set some clear expectations: BTTS lands in 62% of their matches — today it did.

FC BW Linz's trading profile (56 games, 28 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Form vs Result

The form lines were close — Grazer AK 0.96 PPG, FC BW Linz 1.00 PPG — offering no strong steer, and the Grazer AK win broke the near-deadlock. Grazer AK (home/away splits) scored 2 against a 1.18 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