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Shock result as Karlsruher SC defy the odds to beat FC Schalke 04 2-1.

📝 Match Report

How It Unfolded

Karlsruher SC beat FC Schalke 04 2-1 at BBBank Wildpark, Regular Season - 11, in the 2. Bundesliga. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Karlsruher SC 1.11 xG and FC Schalke 04 1.45 xG, a combined 2.56. The scoreboard read 2-1 for 3 actual goals. Karlsruher SC beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Karlsruher SC attack 1.14 / defence 0.98 against FC Schalke 04 attack 1.05 / defence 0.68, drawn from 44/44 games (CurrentSeason).

On the result, the model split it Karlsruher SC 29% | Draw 26% | FC Schalke 04 45%, with FC Schalke 04 to win its most likely call at 45%. The actual Karlsruher SC 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 47%. The game delivered 3, so it went over — a miss for the goals model. Over 1.5 had been 72% and landed. On both teams to score, the model sat at 51% and the match saw both sides score — another call in the model's favour. Historically the two sides average 64% Over 2.5 across their same-competition games (Karlsruher SC 68%, FC Schalke 04 59%), a base rate that agreed with today's over. Their combined BTTS history runs at 61%, which matched the both-scored outcome.

Trading Patterns vs Reality

Karlsruher SC's trading profile (44 games, 22 home) set some clear expectations: BTTS lands in 66% of their matches — today it did.

FC Schalke 04's trading profile (44 games, 22 away) set some clear expectations: BTTS lands in 57% of their matches — today it did.

Form vs Result

The form lines were close — Karlsruher SC 1.59 PPG, FC Schalke 04 1.41 PPG — offering no strong steer, and the Karlsruher SC win broke the near-deadlock.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (hit). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights