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Shock result as FC Winterthur defy the odds to beat Lausanne 2-1.

📝 Match Report

How It Unfolded

FC Winterthur beat Lausanne 2-1 at Stadion Schützenwiese, Regular Season - 22, in the Super League. 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 Winterthur 1.11 xG and Lausanne 1.74 xG, a combined 2.85. The scoreboard read 2-1 for 3 actual goals. FC Winterthur beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of FC Winterthur attack 0.94 / defence 1.26 against Lausanne attack 0.86 / defence 0.70, drawn from 53/54 games (CurrentSeason).

On the result, the model split it FC Winterthur 24% | Draw 24% | Lausanne 52%, with Lausanne to win its most likely call at 52%. Instead the game produced a FC Winterthur win, an outcome the model had rated at just 24% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 54%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 78% and landed. On both teams to score, the model sat at 56% and the match saw both sides score — another call in the model's favour. Historically the two sides average 61% Over 2.5 across their same-competition games (FC Winterthur 64%, Lausanne 59%), a base rate that agreed with today's over. Their combined BTTS history runs at 56%, which matched the both-scored outcome.

Trading Patterns vs Reality

FC Winterthur's trading profile (58 games, 28 home) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Lausanne's trading profile (58 games, 28 away) set some clear expectations: BTTS lands in 59% of their matches — today it did.

Form vs Result

On form, Lausanne arrived the stronger side — 1.34 PPG against 0.86. Form was overturned, with FC Winterthur winning despite arriving in poorer recent shape.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit), form (miss). The model got the gist right while missing on the margins.

💡 Key Insights