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Dominant Lyon run riot with a 4-1 hammering of Rennes.

📝 Match Report

How It Unfolded

Lyon beat Rennes 4-1 at Groupama Stadium, Regular Season - 31, in the Ligue 1. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Lyon 1.78 xG and Rennes 1.60 xG, a combined 3.38. The scoreboard read 4-1 for 5 actual goals. Lyon beat their projection by 2.2 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Lyon attack 1.30 / defence 0.90 against Rennes attack 1.25 / defence 0.92, drawn from 64/64 games (CurrentSeason).

On the result, the model split it Lyon 42% | Draw 23% | Rennes 35%, with Lyon to win its most likely call at 42%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 66%. The game delivered 5, so it went over — in line with the projection. Over 1.5 had been 85% and landed. Over 3.5 was 44% and came in. On both teams to score, the model sat at 66% and the match saw both sides score — another call in the model's favour. Historically the two sides average 59% Over 2.5 across their same-competition games (Lyon 62%, Rennes 56%), a base rate that agreed with today's over. Their combined BTTS history runs at 57%, which matched the both-scored outcome.

Trading Patterns vs Reality

Lyon's trading profile (64 games, 31 home) set some clear expectations: BTTS lands in 59% of their matches — today it did.

Rennes's trading profile (64 games, 31 away) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Form vs Result

The form lines were close — Lyon 1.62 PPG, Rennes 1.31 PPG — offering no strong steer, and the Lyon win broke the near-deadlock. Lyon (home/away splits) scored 4 against a 1.77 average — above their attacking norm. Rennes (home/away splits) shipped 4 against a 1.39 concession average — a leakier day than usual.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights