De Graafschap vs MVV Maastricht Prediction — Model Probabilities
The bookmaker priced every market fairly — no dependable value at these odds, so skipping is the disciplined play.
Our call is our best estimate of the outcome; a value flag is a separate, rarer judgement about the price.
Edge (pp): green = we see more probability than the market · gold = essentially even (±0.5pp) · red = we see less. The Decision above outranks any single row: the engine backs well-supported edges, not merely big ones.
De Graafschap v MVV Maastricht — Team-Based Signals
De Graafschap vs MVV Maastricht Head-to-Head — Last 6 Meetings
1-2
HT 1-1
De Graafschap
HOL2
2-1
HT 1-1
MVV Maastricht
HOL2
2-2
HT 1-1
De Graafschap
HOL2
1-3
HT 1-1
MVV Maastricht
HOL2
De Graafschap 0-0 MVV Maastricht — Actual Match Statistics
De Graafschap and MVV Maastricht fought out a 0-0 stalemate. Neither side could find a way through.
By our pre-match numbers this was an upset: we had De Graafschap at 59% and the game still went the other way. Single results are noisy — probabilities earn their keep across thousands of matches, not one. The goals read — over 2.5 goals (56%) — went the other way, though.
On the day, De Graafschap had 68% of the ball to MVV Maastricht's 32%, shots finished 18-7, expected goals 0.90 to 0.35.
For context: across their last 6 meetings in our records, De Graafschap had the better of it with 3 wins, 2 drawn. Those games averaged 1.67 goals for De Graafschap and 1.17 for MVV Maastricht.
What was the final score of De Graafschap vs MVV Maastricht?
De Graafschap 0-0 MVV Maastricht in the Netherlands - Eerste Divisie on 22/03/2025. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for De Graafschap vs MVV Maastricht?
Before kick-off our model rated a De Graafschap win the most likely single outcome at about 59%, with the full match-result split De Graafschap 59%, draw 23%, MVV Maastricht 18%. The final score 0-0 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.