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Shock result as Rennes defy the odds to beat Metz 0-1.

📝 Match Report

How It Unfolded

Rennes beat Metz 0-1 at Stade Saint-Symphorien, Regular Season - 14, 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 Metz 1.32 xG and Rennes 1.21 xG, a combined 2.53. The scoreboard read 0-1 for 1 actual goal. Metz fell 1.3 short of their projected output. Those figures were built on strength ratings of Metz attack 0.74 / defence 0.96 against Rennes attack 1.03 / defence 1.06, drawn from 13/47 games (CurrentSeason).

On the result, the model split it Metz 39% | Draw 27% | Rennes 34%, with Metz to win its most likely call at 39%. The actual Rennes 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 46%. The game delivered 1, so it stayed under — in line with the projection. Over 1.5 had been 72% and missed. On both teams to score, the model sat at 51% and the match did not — a miss on BTTS. Historically the two sides average 60% Over 2.5 across their same-competition games (Metz 57%, Rennes 62%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 54%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Metz's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 55% of their matches — today it did not.

Rennes's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 53% of their matches — today it did not.

Form vs Result

The form lines were close — Metz 1.66 PPG, Rennes 1.32 PPG — offering no strong steer, and the Rennes win broke the near-deadlock. Metz (home/away splits) managed 0 against a 1.83 scoring average — below par going forward. Rennes (home/away splits) conceded 0 against a 1.91 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights