01 · 2 legs
Safe
- Vitesse to win49%
- Over 1.5 goals88%
Eerste Divisie14°7,2 mm24 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
The sharpest number here is the 70% probability for over 2.5 goals, suggesting a higher-scoring affair is likely. Both teams, Vitesse and Jong PSV, favor a possession-oriented, high-press style, and with expected goals of 1.95 for the hosts and 1.67 for the visitors, the matchup leans toward an open game with multiple scoring opportunities. The head-to-head record is evenly split at 2-2 across four encounters, a small sample that takes a backseat to current form and xG metrics.
Vitesse's tactical setup should find gaps against a PSV U21 side that narrowly edges them in points and xPoints this season. However, the home side's superior xG per match indicates they possess the tools to exploit any defensive lags from the visitors, despite marginally higher xGA figures. Considering these insights, a 2-1 win for Vitesse is a plausible outcome, aligning with the model's most likely scoreline.
For bettors, the best angle lies in the goal market. Given the strong model support for over 2.5 goals at 70%, this is underscored by the aligned playing styles of both squads. Unibet's odds of 1.80 on this market present potential value for those looking to capitalize on expected offensive fireworks.
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 | Vitesse | Jong PSV |
|---|---|---|
| Points | 10 | 11 |
| xPoints | 9 | 10.2 |
| xG per match | 2 | 1.7 |
| xGA per match | 1.4 | 1.2 |
| xG within 8s of winning the ball | 0.42 | 0.2 |
| xGA within 8s of losing the ball | 0.15 | 0.22 |
| Playing style | Vitesse | Jong PSV |
|---|---|---|
| Build-up efficiency | 0.32 | 0.29 |
| Field tilt | 0.6 | 0.6 |
| xT per match | 1.6 | 1.1 |
| xTA per match | 1.3 | 1.1 |
| Won balls, offensive half | 26 | 26 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.33 | 0.38 |
| Pressing efficiency, offensive half | 0.35 | 0.34 |
| Entries into the box per match | 17 | 13 |
| Entries into the box against | 14 | 13 |
| Pass completion % | 0.75 | 0.77 |
| Pass completion % under pressure | 0.72 | 0.72 |
| Passes per match | 348 | 396 |
| Passes against per match | 316 | 280 |
| Switches of play per match | 30.2 | 26.5 |
| Long balls per match | 38 | 40 |
| Set pieces | Vitesse | Jong PSV |
|---|---|---|
| xG from free kicks | 0.05 | 0.02 |
| Corners per match | 5 | 5.7 |
| Corners against per match | 5 | 4.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.03 | 0.04 |
| First touch, offensive corners % | 0.28 | 0.53 |
| First touch, defensive corners % | 0.64 | 0.63 |
| Other | Vitesse | Jong PSV |
|---|---|---|
| Throw-in control | 0.75 | 0.77 |
| The goalkeepers | Connor van den Berg (Vitesse) | Khadim Ngom (Jong PSV) |
|---|---|---|
| Saves | 11 | 16 |
| Save % | 85% | 73% |
| xG prevented | 87% | 76% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Vitesse a 49% win probability. Full 1X2 picture: Vitesse 49%, draw 23%, Jong PSV 28%.
The model's most likely final score is 1-1 at 9% probability.
The model rates over 2.5 goals at 70% and under at 30%.
The probability of both teams scoring is 70% 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.