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Prediction vindicated as Clermont Foot edge out Grenoble 2-1.

📝 Match Report

How It Unfolded

Clermont Foot beat Grenoble 2-1 at Stade Gabriel Montpied, Regular Season - 3, in the Ligue 2. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Clermont Foot 1.26 xG and Grenoble 1.02 xG, a combined 2.29. 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 Clermont Foot attack 0.79 / defence 0.89 against Grenoble attack 1.00 / defence 1.08, drawn from 36/36 games (Blended).

On the result, the model split it Clermont Foot 41% | Draw 31% | Grenoble 29%, with Clermont Foot to win its most likely call at 41%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 40%. The game delivered 3, so it went over — a miss for the goals model. 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 46% Over 2.5 across their same-competition games (Clermont Foot 36%, Grenoble 56%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 53%, which matched the both-scored outcome.

Trading Patterns vs Reality

Clermont Foot's trading profile (36 games, 18 home) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Grenoble's trading profile (36 games, 18 away) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Form vs Result

The form lines were close — Clermont Foot 0.94 PPG, Grenoble 1.31 PPG — offering no strong steer, and the Clermont Foot win broke the near-deadlock. Clermont Foot (home/away splits) scored 2 against a 0.89 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights