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Shock result as Ajaccio defy the odds to beat Lorient 2-1.

📝 Match Report

How It Unfolded

Ajaccio beat Lorient 2-1 at Stade Michel-Moretti, Regular Season - 33, in the Ligue 2. 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 Ajaccio 1.14 xG and Lorient 1.18 xG, a combined 2.31. The scoreboard read 2-1 for 3 actual goals. Ajaccio beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Ajaccio attack 0.91 / defence 1.07 against Lorient attack 1.01 / defence 0.89, drawn from 70/32 games (CurrentSeason).

On the result, the model split it Ajaccio 35% | Draw 28% | Lorient 37%, with Lorient to win its most likely call at 37%. The actual Ajaccio win had been the model's second-ranked read at 35%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 3, so it went over — against the model's lean. Over 1.5 had been 67% 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 50% Over 2.5 across their same-competition games (Ajaccio 39%, Lorient 61%), a base rate that agreed with today's over. Their combined BTTS history runs at 44%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Ajaccio's trading profile (66 games, 33 home) set some clear expectations: BTTS lands in 38% of their matches — today it did.

Lorient's trading profile (66 games, 33 away) set some clear expectations: BTTS lands in 50% of their matches — today it did.

Form vs Result

The form lines were close — Ajaccio 1.21 PPG, Lorient 1.47 PPG — offering no strong steer, and the Ajaccio win broke the near-deadlock.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), 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