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Prediction vindicated as Lille edge out Angers 1-0.

📝 Match Report

How It Unfolded

Lille beat Angers 1-0 at Stade Pierre-Mauroy, Regular Season - 11, in the Ligue 1. 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 Lille 1.93 xG and Angers 0.85 xG, a combined 2.78. The scoreboard read 1-0 for 1 actual goal. Lille fell 0.9 short of their projected output. Angers landed 0.9 under their projected return. Those figures were built on strength ratings of Lille attack 1.09 / defence 0.82 against Angers attack 0.83 / defence 1.02, drawn from 44/44 games (CurrentSeason).

On the result, the model split it Lille 63% | Draw 21% | Angers 16%, with Lille to win its most likely call at 63%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 53%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 49% and the match did not — another call in the model's favour. Historically the two sides average 40% Over 2.5 across their same-competition games (Lille 50%, Angers 30%), a base rate that agreed with today's under. Their combined BTTS history runs at 48%, which matched the one-sided outcome.

Trading Patterns vs Reality

Lille's trading profile (44 games, 22 home) set some clear expectations: BTTS lands in 57% of their matches — today it did not.

Angers's trading profile (44 games, 22 away) set some clear expectations: BTTS lands in 39% of their matches — today it did not; they fail to score in 41% of games, a blank that repeated today.

Form vs Result

On form, Lille arrived the stronger side — 1.75 PPG against 1.05. That form edge translated into the three points. Lille (home/away splits) managed 1 against a 1.86 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, 3 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights