01 · 2 legs
Safe
- Double chance TOP Oss or draw (1X)64%
- Over 1.5 goals80%
Eerste Divisie14°3,3 mm25 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT:
Expect a clash of styles as TOP Oss and Dordrecht face off, with the hosts leaning on a direct approach while the visitors aim to control possession. The numbers suggest a tightly contested match, with TOP Oss given a slight edge by the model at 43% probability to win. Despite this, the most likely scoreline is a 1-1 draw, appearing 12% of the time in simulations, hinting at a balanced affair where neither side can establish dominance.
The hosts have a marginally better expected goals metric at 1.51 compared to Dordrecht's 1.44. TOP Oss seem better equipped defensively, given Dordrecht's leaky defense with 2.3 expected goals against per match. Still, Dordrecht’s recent three-match losing streak might add extra motivation to rectify their form, making them unpredictable challengers.
Head-to-head encounters since 2023 have been roughly even (1 win, 2 draws, 1 loss for TOP Oss), though the sample size of four matches tempers its significance. Both teams are neck and neck in actual points (3 vs. 4), yet TOP Oss boast superior underlying metrics, leading in expected points (6.8 vs. 4.7) and expected goals per match (1.2 vs. 1.1). These statistics underline their potential to edge out Dordrecht, especially if they capitalize on the visitors' defensive vulnerabilities.
For bettors, the market offers intriguing opportunities. With a 57% likelihood of over 2.5 goals, the match could see a few net ripples, although a narrow scoreline feels likelier. TOP Oss to win might hold value, especially given their defensive edge and Dordrecht's poor run. Yet, caution is advised as the margin is slim, and the potential for a draw is significant.
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 | TOP Oss | Dordrecht |
|---|---|---|
| Points | 3 | 4 |
| xPoints | 6.8 | 4.7 |
| xG per match | 1.2 | 1.1 |
| xGA per match | 1.8 | 2.3 |
| xG within 8s of winning the ball | 0.22 | 0.21 |
| xGA within 8s of losing the ball | 0.2 | 0.38 |
| Playing style | TOP Oss | Dordrecht |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.33 | 0.52 |
| xT per match | 0.97 | 1.2 |
| xTA per match | 1.7 | 1.1 |
| Won balls, offensive half | 24 | 26 |
| Pressing intensity | 0.25 | 0.25 |
| Pressing efficiency | 0.26 | 0.3 |
| Pressing efficiency, offensive half | 0.24 | 0.26 |
| Entries into the box per match | 13 | 13 |
| Entries into the box against | 19 | 16 |
| Pass completion % | 0.65 | 0.78 |
| Pass completion % under pressure | 0.59 | 0.7 |
| Passes per match | 231 | 370 |
| Passes against per match | 440 | 304 |
| Switches of play per match | 23.4 | 28.7 |
| Long balls per match | 42 | 48 |
| Set pieces | TOP Oss | Dordrecht |
|---|---|---|
| xG from free kicks | 0.05 | 0.08 |
| Corners per match | 5.2 | 5 |
| Corners against per match | 7.3 | 4.8 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.04 | 0.01 |
| First touch, offensive corners % | 0.38 | 0.44 |
| First touch, defensive corners % | 0.67 | 0.46 |
| Other | TOP Oss | Dordrecht |
|---|---|---|
| Throw-in control | 0.69 | 0.74 |
| The goalkeepers | Mike Havekotte (TOP Oss) | Calvin Owen Harm Raatsie (Dordrecht) |
|---|---|---|
| Saves | 16 | 25 |
| Save % | 67% | 61% |
| xG prevented | 44% | 37% |
| Claims | 0 (0%) | 0 (0%) |
The model gives TOP Oss a 43% win probability. Full 1X2 picture: TOP Oss 43%, draw 24%, Dordrecht 33%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 57% and under at 43%.
The probability of both teams scoring is 60% 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.