01 · 2 legs
Safe
- Roda to win47%
- Over 1.5 goals85%
Eerste Divisie15°3,0 mm23 km/h
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Jong AjaxPossession controlErik Lindberg · · Written from the model's numbers · How the predictions work
The model leans towards Roda JC Kerkrade taking the edge with a 47% chance to win against Jong Ajax, who trail at a 31% probability. While both teams fancy possession control, the visitors seem better equipped to turn it into a tangible advantage. The expected goals tilt towards Roda, 1.82 to 1.49, indicating a slight but clear upper hand. This imbalance suggests a narrow win for Roda, though the small head-to-head sample between these sides shows an even split, further complicating the picture.
Jong Ajax and Roda both have possession-oriented styles, which might lead to a tightly contested midfield battle. The numbers nudge towards a 1-2 away victory as one of the most likely outcomes, aligning with Roda's superior xG and xPoints metrics. Despite the possession similarities, Ajax Amsterdam B’s defensive frailties are evident, conceding 1.9 xGA per match compared to Roda's more robust 1.2.
The damp weather, with 4.5 mm of rain expected, might suppress goal-scoring opportunities, but the model has already accounted for this. Even with the weather factor, over 2.5 goals are expected 64% of the time. This leans towards a match with multiple goals, favoring over-2.5-goal bettors, especially if both sides stick to their attacking tendencies.
A potential 1-1 draw is given a 10% probability, a conservative estimate reflecting the tight contest that possession battles often yield. However, Roda's attacking efficiency and defensive stability suggest they might break through Jong Ajax's leaky backline more effectively.
The sharpest angle here is the value on Roda JC Kerkrade to win at odds of 2.25 with Bet365, given their stronger metrics across the board. While no bet is a guarantee, the odds present an attractive risk-reward scenario based on the current form and statistics.
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 | Jong Ajax | Roda |
|---|---|---|
| Points | 7 | 8 |
| xPoints | 6 | 8.4 |
| xG per match | 1.3 | 1.7 |
| xGA per match | 1.9 | 1.2 |
| xG within 8s of winning the ball | 0.22 | 0.11 |
| xGA within 8s of losing the ball | 0.19 | 0.13 |
| Playing style | Jong Ajax | Roda |
|---|---|---|
| Build-up efficiency | 0.29 | 0.3 |
| Field tilt | 0.44 | 0.4 |
| xT per match | 0.86 | 1.2 |
| xTA per match | 1.3 | 1.1 |
| Won balls, offensive half | 23 | 23 |
| Pressing intensity | 0.24 | 0.22 |
| Pressing efficiency | 0.32 | 0.29 |
| Pressing efficiency, offensive half | 0.29 | 0.25 |
| Entries into the box per match | 10 | 13 |
| Entries into the box against | 15 | 14 |
| Pass completion % | 0.78 | 0.76 |
| Pass completion % under pressure | 0.73 | 0.72 |
| Passes per match | 357 | 356 |
| Passes against per match | 310 | 358 |
| Switches of play per match | 31.3 | 16.6 |
| Long balls per match | 39 | 29 |
| Set pieces | Jong Ajax | Roda |
|---|---|---|
| xG from free kicks | 0.04 | 0.07 |
| Corners per match | 4.3 | 4.6 |
| Corners against per match | 7.6 | 3.2 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.02 | 0.07 |
| First touch, offensive corners % | 0.46 | 0.43 |
| First touch, defensive corners % | 0.59 | 0.62 |
| Other | Jong Ajax | Roda |
|---|---|---|
| Throw-in control | 0.71 | 0.73 |
| The goalkeepers | Joeri Heerkens (Jong Ajax) | Justin Treichel (Roda) |
|---|---|---|
| Saves | 26 | 17 |
| Save % | 67% | 81% |
| xG prevented | 36% | 65% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Roda a 47% win probability. Full 1X2 picture: Jong Ajax 31%, draw 22%, Roda 47%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 65% 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.