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Prediction vindicated as FC ST. Gallen edge out Lausanne 1-0.

📝 Match Report

How It Unfolded

FC ST. Gallen beat Lausanne 1-0 at Kybunpark, Regular Season - 14, 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 ST. Gallen 1.66 xG and Lausanne 1.31 xG, a combined 2.97. The scoreboard read 1-0 for 1 actual goal. Lausanne landed 1.3 under their projected return. Those figures were built on strength ratings of FC ST. Gallen attack 1.04 / defence 1.01 against Lausanne attack 0.94 / defence 0.86, drawn from 45/46 games (CurrentSeason).

On the result, the model split it FC ST. Gallen 46% | Draw 24% | Lausanne 30%, with FC ST. Gallen to win its most likely call at 46%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 57%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 80% and missed. On both teams to score, the model sat at 59% and the match did not — a miss on BTTS. Historically the two sides average 58% Over 2.5 across their same-competition games (FC ST. Gallen 54%, Lausanne 62%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 63%, which did not match the one-sided outcome.

Trading Patterns vs Reality

FC ST. Gallen's trading profile (50 games, 24 home) set some clear expectations: BTTS lands in 64% of their matches — today it did not.

Lausanne's trading profile (50 games, 24 away) set some clear expectations: BTTS lands in 62% of their matches — today it did not.

Form vs Result

The form lines were close — FC ST. Gallen 1.46 PPG, Lausanne 1.32 PPG — offering no strong steer, and the FC ST. Gallen win broke the near-deadlock. FC ST. Gallen (home/away splits) conceded 0 against a 1.29 average — tighter than their form line. Lausanne (home/away splits) managed 0 against a 1.29 scoring average — below par going forward.

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