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Shock result as MVV defy the odds to beat Vitesse 3-2.

📝 Match Report

How It Unfolded

MVV beat Vitesse 3-2 at De Geusselt, Regular Season - 12, in the Eerste Divisie. 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 MVV 1.46 xG and Vitesse 1.83 xG, a combined 3.30. The scoreboard read 3-2 for 5 actual goals. MVV beat their projection by 1.5 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of MVV attack 0.83 / defence 1.06 against Vitesse attack 1.26 / defence 0.97, drawn from 49/47 games (CurrentSeason).

On the result, the model split it MVV 31% | Draw 23% | Vitesse 46%, with Vitesse to win its most likely call at 46%. The actual MVV win had been the model's second-ranked read at 31%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 64%. The game delivered 5, so it went over — a call the model got right. Over 1.5 had been 84% and landed. Over 3.5 was 42% and came in. On both teams to score, the model sat at 65% and the match saw both sides score — another call in the model's favour. Historically the two sides average 62% Over 2.5 across their same-competition games (MVV 55%, Vitesse 68%), 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

MVV's trading profile (47 games, 23 home) set some clear expectations: BTTS lands in 49% of their matches — today it did.

Vitesse's trading profile (47 games, 23 away) set some clear expectations: BTTS lands in 60% of their matches — today it did.

Form vs Result

The form lines were close — MVV 1.06 PPG, Vitesse 1.23 PPG — offering no strong steer, and the MVV win broke the near-deadlock. MVV (home/away splits) scored 3 against a 1.91 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