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Prediction vindicated as Vitesse edge out MVV 1-0.
📝 Match Report
How It Unfolded
Vitesse beat MVV 1-0 at GelreDome, Regular Season - 28, 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 Vitesse 1.39 xG and MVV 1.38 xG, a combined 2.77. The scoreboard read 1-0 for 1 actual goal. MVV landed 1.4 under their projected return. Those figures were built on strength ratings of Vitesse attack 0.78 / defence 1.32 against MVV attack 0.81 / defence 1.07, drawn from 27/65 games (CurrentSeason).
On the result, the model split it Vitesse 37% | Draw 27% | MVV 37%, with Vitesse to win its most likely call at 37%. The result followed the model's preferred path, landing its top-rated outcome.
Goals & Markets
The model rated Over 2.5 goals at 52%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 77% and missed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 63% Over 2.5 across their same-competition games (Vitesse 64%, MVV 62%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 57%, which did not match the one-sided outcome.
Trading Patterns vs Reality
Vitesse's trading profile (61 games, 29 home) set some clear expectations: BTTS lands in 56% of their matches — today it did not.
MVV's trading profile (61 games, 29 away) set some clear expectations: BTTS lands in 57% of their matches — today it did not.
Form vs Result
On form, MVV arrived the stronger side — 1.34 PPG against 0.85. Form was overturned, with Vitesse winning despite arriving in poorer recent shape. Vitesse (home/away splits) conceded 0 against a 1.79 average — tighter than their form line. MVV (home/away splits) managed 0 against a 1.28 scoring average — below par going forward and conceded 1 against a 1.83 average — tighter than their form line.
Verdict
Grading the result against the stored data, 1 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (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
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.