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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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Prediction vindicated as Lens edge out Angers 1-2.

📝 Match Report

How It Unfolded

Lens beat Angers 1-2 at Stade Raymond-Kopa, Regular Season - 14, 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 Angers 1.16 xG and Lens 1.17 xG, a combined 2.33. The scoreboard read 1-2 for 3 actual goals. Lens outscored their 1.17 projection by 0.8. Those figures were built on strength ratings of Angers attack 0.81 / defence 0.85 against Lens attack 1.13 / defence 0.88, drawn from 47/47 games (CurrentSeason).

On the result, the model split it Angers 36% | Draw 28% | Lens 36%, with Angers to win its most likely call at 36%. The actual Lens win had been the model's second-ranked read at 36%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 68% and landed. On both teams to score, the model sat at 47% and the match saw both sides score — a miss on BTTS. Historically the two sides average 35% Over 2.5 across their same-competition games (Angers 28%, Lens 43%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 38%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Angers's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 36% of their matches — today it did.

Lens's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 40% of their matches — today it did; they keep a clean sheet 36% of the time, and conceded here.

Form vs Result

On form, Lens arrived the stronger side — 1.70 PPG against 1.11. That form edge translated into the three points.

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). 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