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Arminia Bielefeld cruise to a comfortable 0-2 victory over Holstein Kiel.

📝 Match Report

How It Unfolded

Arminia Bielefeld beat Holstein Kiel 0-2 at Holstein-Stadion, Regular Season - 2, in the 2. 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 Holstein Kiel 1.62 xG and Arminia Bielefeld 1.23 xG, a combined 2.85. The scoreboard read 0-2 for 2 actual goals. Holstein Kiel fell 1.6 short of their projected output. Those figures were built on strength ratings of Holstein Kiel attack 0.86 / defence 1.15 against Arminia Bielefeld attack 0.85 / defence 1.15, drawn from 1/1 games (Blended).

On the result, the model split it Holstein Kiel 46% | Draw 24% | Arminia Bielefeld 29%, with Holstein Kiel to win its most likely call at 46%. The actual Arminia Bielefeld win had been the model's second-ranked read at 29%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 54%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 78% and landed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 100% Over 2.5 across their same-competition games (Holstein Kiel 100%, Arminia Bielefeld 100%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 100%, which did not match the one-sided outcome.

Form vs Result

On form, Arminia Bielefeld arrived the stronger side — 3.00 PPG against 0.00. That form edge translated into the three points. Holstein Kiel managed 0 against a 1.00 scoring average — below par going forward. Arminia Bielefeld managed 2 against a 5.00 scoring average — below par going forward and conceded 0 against a 1.00 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss), form (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