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Prediction vindicated as Emmen edge out MVV 2-1.

📝 Match Report

How It Unfolded

Emmen beat MVV 2-1 at De Oude Meerdijk, Regular Season - 35, in the Eerste Divisie. 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 Emmen 1.93 xG and MVV 1.17 xG, a combined 3.10. 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 Emmen attack 0.99 / defence 1.13 against MVV attack 0.68 / defence 1.25, drawn from 72/72 games (CurrentSeason).

On the result, the model split it Emmen 55% | Draw 22% | MVV 23%, with Emmen to win its most likely call at 55%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 60%. The game delivered 3, so it went over — in line with the projection. Over 1.5 had been 82% 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 60% Over 2.5 across their same-competition games (Emmen 61%, MVV 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

Emmen's trading profile (72 games, 36 home) set some clear expectations: BTTS lands in 54% of their matches — today it did.

MVV's trading profile (72 games, 36 away) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Form vs Result

The form lines were close — Emmen 1.31 PPG, MVV 1.06 PPG — offering no strong steer, and the Emmen win broke the near-deadlock.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights