01 · 2 legs
Safe
- MVV Maastricht to win54%
- Over 1.5 goals76%
Eerste Divisie16°9 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
With MVV Maastricht boasting a 54% model probability of winning, the hosts are positioned as slight favorites against Helmond Sport. Their possession-based style suggests they'll dominate the ball and dictate the pace. In contrast, the visitors will likely sit back, relying on a low defensive block and direct counter-attacks. Maastricht's unbeaten streak of five league games adds to their psychological edge, hinting at their ability to manage tight matches effectively.
Despite Helmond Sport's approach, historical encounters have averaged 3.2 goals per meeting. However, the model's expected goals indicate a more subdued affair, with Maastricht projected at 1.81 and Helmond at 0.89. This points to a controlled game potentially settled by a narrow margin. The most likely scorelines of 1-0 and 2-0 to the home side echo this sentiment, with the hosts' superior xGA of 0.98 underscoring their defensive strength.
Interestingly, while Maastricht edges out Helmond in terms of current league points, the xPoints suggest a tighter competition, with the visitors holding a slight analytical edge. This discrepancy highlights the variance in actual performance versus expected metrics. Given these factors, a 1-0 or 2-0 result in favor of the hosts seems plausible, though the 11% probability of a 1-1 draw shouldn't be disregarded entirely.
Betting value emerges from Unibet's odds on a 1-0 scoreline, offering a potential edge given the analysis. While the over 2.5 goals market sits at a delicate 51%, the under may provide a more conservative play given the defensive metrics and expected style of play. In this matchup, the focus should remain on Maastricht's discipline at home and the visitors' struggle to break through robust defenses.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Eerste Divisie data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | MVV Maastricht | Helmond Sport |
|---|---|---|
| Points | 13 | 8 |
| xPoints | 8.1 | 8.7 |
| xG per match | 1.3 | 1.2 |
| xGA per match | 0.98 | 1.6 |
| xG within 8s of winning the ball | 0.18 | 0.23 |
| xGA within 8s of losing the ball | 0.06 | 0.2 |
| Playing style | MVV Maastricht | Helmond Sport |
|---|---|---|
| Build-up efficiency | 0.3 | 0.3 |
| Field tilt | 0.55 | 0.35 |
| xT per match | 1 | 0.92 |
| xTA per match | 0.87 | 1.3 |
| Won balls, offensive half | 25 | 23 |
| Pressing intensity | 0.22 | 0.25 |
| Pressing efficiency | 0.34 | 0.25 |
| Pressing efficiency, offensive half | 0.28 | 0.19 |
| Entries into the box per match | 9 | 11 |
| Entries into the box against | 14 | 19 |
| Pass completion % | 0.74 | 0.74 |
| Pass completion % under pressure | 0.71 | 0.64 |
| Passes per match | 345 | 289 |
| Passes against per match | 350 | 452 |
| Switches of play per match | 28.8 | 26 |
| Long balls per match | 41 | 34 |
| Set pieces | MVV Maastricht | Helmond Sport |
|---|---|---|
| xG from free kicks | 0.03 | 0 |
| Corners per match | 3.4 | 4.5 |
| Corners against per match | 4.8 | 5.7 |
| xG per corner | 0.01 | 0.01 |
| xGA per corner against | 0.04 | 0.04 |
| First touch, offensive corners % | 0.06 | 0.33 |
| First touch, defensive corners % | 0.38 | 0.38 |
| Other | MVV Maastricht | Helmond Sport |
|---|---|---|
| Throw-in control | 0.69 | 0.74 |
| The goalkeepers | Hugo Wentges (MVV Maastricht) | Menno Bergsen (Helmond Sport) |
|---|---|---|
| Saves | 9 | 25 |
| Save % | 69% | 71% |
| xG prevented | 58% | 55% |
| Claims | 0 (0%) | 0 (0%) |
The model gives MVV Maastricht a 54% win probability. Full 1X2 picture: MVV Maastricht 54%, draw 26%, Helmond Sport 20%.
The model's most likely final score is 1-0 at 12% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 50% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.