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Prediction vindicated as Rennes edge out Nantes 2-1.

📝 Match Report

How It Unfolded

Rennes beat Nantes 2-1 at Roazhon Park, Regular Season - 30, 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 Rennes 1.56 xG and Nantes 1.25 xG, a combined 2.82. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Rennes attack 0.82 / defence 0.96 against Nantes attack 0.91 / defence 1.30, drawn from 63/62 games (CurrentSeason).

On the result, the model split it Rennes 45% | Draw 25% | Nantes 31%, with Rennes to win its most likely call at 45%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 53%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 77% and landed. On both teams to score, the model sat at 57% and the match saw both sides score — another call in the model's favour. Historically the two sides average 51% Over 2.5 across their same-competition games (Rennes 55%, Nantes 47%), a base rate that agreed with today's over. Their combined BTTS history runs at 54%, which matched the both-scored outcome.

Trading Patterns vs Reality

Rennes's trading profile (62 games, 31 home) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Nantes's trading profile (62 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 — Rennes 1.26 PPG, Nantes 1.02 PPG — offering no strong steer, and the Rennes win broke the near-deadlock.

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