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Shock result as FC Schalke 04 defy the odds to beat Holstein Kiel 1-2.

📝 Match Report

How It Unfolded

FC Schalke 04 beat Holstein Kiel 1-2 at Holstein-Stadion, Regular Season - 22, in the 2. Bundesliga. 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 Holstein Kiel 0.99 xG and FC Schalke 04 0.97 xG, a combined 1.96. The scoreboard read 1-2 for 3 actual goals. FC Schalke 04 outscored their 0.97 projection by 1.0. Those figures were built on strength ratings of Holstein Kiel attack 0.83 / defence 0.92 against FC Schalke 04 attack 0.79 / defence 0.80, drawn from 21/55 games (CurrentSeason).

On the result, the model split it Holstein Kiel 33% | Draw 34% | FC Schalke 04 32%, with the draw its most likely call at 34%. The actual FC Schalke 04 win had been the model's second-ranked read at 32%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 31%. The game delivered 3, so it went over — against the model's lean. Over 1.5 had been 60% and landed. On both teams to score, the model sat at 41% and the match saw both sides score — a miss on BTTS. Historically the two sides average 61% Over 2.5 across their same-competition games (Holstein Kiel 66%, FC Schalke 04 56%), a base rate that agreed with today's over. Their combined BTTS history runs at 62%, which matched the both-scored outcome.

Trading Patterns vs Reality

Holstein Kiel's trading profile (55 games, 27 home) set some clear expectations: BTTS lands in 69% of their matches — today it did.

FC Schalke 04's trading profile (55 games, 27 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Form vs Result

On form, FC Schalke 04 arrived the stronger side — 1.42 PPG against 0.89. Form held, and they took the win. FC Schalke 04 (home/away splits) scored 2 against a 1.19 average — above their attacking norm.

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). 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