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Shock result as Clermont Foot defy the odds to beat Montpellier 1-2.

📝 Match Report

How It Unfolded

Clermont Foot beat Montpellier 1-2 at Stade de la Mosson, Regular Season - 33, in the Ligue 2. 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 Montpellier 1.68 xG and Clermont Foot 1.20 xG, a combined 2.88. The scoreboard read 1-2 for 3 actual goals. Clermont Foot outscored their 1.20 projection by 0.8. Those figures were built on strength ratings of Montpellier attack 1.18 / defence 1.03 against Clermont Foot attack 0.95 / defence 1.17, drawn from 32/66 games (CurrentSeason).

On the result, the model split it Montpellier 47% | Draw 28% | Clermont Foot 25%, with Montpellier to win its most likely call at 47%. Instead the game produced a Clermont Foot win, an outcome the model had rated at just 25% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 55%. The game delivered 3, so it went over — a call the model got right. Over 1.5 had been 80% and landed. On both teams to score, the model sat at 59% and the match saw both sides score — another call in the model's favour. Historically the two sides average 42% Over 2.5 across their same-competition games (Montpellier 42%, Clermont Foot 41%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 48%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Montpellier's trading profile (66 games, 33 home) set some clear expectations: BTTS lands in 39% of their matches — today it did.

Clermont Foot's trading profile (66 games, 33 away) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Form vs Result

The form lines were close — Montpellier 1.00 PPG, Clermont Foot 0.95 PPG — offering no strong steer, and the Clermont Foot win broke the near-deadlock. Clermont Foot (home/away splits) scored 2 against a 0.97 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