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

📝 Match Report

How It Unfolded

Montpellier beat Toulouse 1-2 at Stadium de Toulouse, Regular Season - 19, 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 Toulouse 1.59 xG and Montpellier 0.78 xG, a combined 2.37. The scoreboard read 1-2 for 3 actual goals. Montpellier outscored their 0.78 projection by 1.2. Those figures were built on strength ratings of Toulouse attack 0.87 / defence 0.94 against Montpellier attack 0.65 / defence 1.22, drawn from 52/52 games (CurrentSeason).

On the result, the model split it Toulouse 54% | Draw 30% | Montpellier 16%, with Toulouse to win its most likely call at 54%. Instead the game produced a Montpellier win, an outcome the model had rated at just 16% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 42%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 71% and landed. On both teams to score, the model sat at 46% and the match saw both sides score — a miss on BTTS. Historically the two sides average 57% Over 2.5 across their same-competition games (Toulouse 54%, Montpellier 60%), 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

Toulouse's trading profile (52 games, 25 home) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Montpellier's trading profile (52 games, 25 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Form vs Result

The form lines were close — Toulouse 1.31 PPG, Montpellier 1.04 PPG — offering no strong steer, and the Montpellier win broke the near-deadlock. Montpellier (home/away splits) scored 2 against a 1.04 average — above their attacking norm and conceded 1 against a 1.80 average — tighter than their form line.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights