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Shock result as Nantes defy the odds to beat Reims 1-2.

📝 Match Report

How It Unfolded

Nantes beat Reims 1-2 at Stade Auguste-Delaune, Regular Season - 20, 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 Reims 1.37 xG and Nantes 1.34 xG, a combined 2.71. The scoreboard read 1-2 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 Reims attack 0.85 / defence 1.14 against Nantes attack 0.90 / defence 1.07, drawn from 53/53 games (CurrentSeason).

On the result, the model split it Reims 35% | Draw 31% | Nantes 34%, with Reims to win its most likely call at 35%. The actual Nantes win had been the model's second-ranked read at 34%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 51%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 78% and landed. On both teams to score, the model sat at 58% and the match saw both sides score — another call in the model's favour. Historically the two sides average 50% Over 2.5 across their same-competition games (Reims 55%, Nantes 45%), a base rate that agreed with today's over. Their combined BTTS history runs at 60%, which matched the both-scored outcome.

Trading Patterns vs Reality

Reims's trading profile (53 games, 27 home) set some clear expectations: BTTS lands in 66% of their matches — today it did.

Nantes's trading profile (53 games, 27 away) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Form vs Result

The form lines were close — Reims 1.30 PPG, Nantes 0.96 PPG — offering no strong steer, and the Nantes win broke the near-deadlock. Nantes (home/away splits) scored 2 against a 0.89 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). The model got the gist right while missing on the margins.

💡 Key Insights