01 · 2 legs
Safe
- Volendam to win70%
- Over 1.5 goals88%
Eerste Divisie17°2,4 mm13 km/h
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VolendamPossession controlErik Lindberg · · Written from the model's numbers · How the predictions work
With a commanding possession style, Volendam's approach at home has been notably effective, winning 82% of their matches in front of their own fans all-time (22 played). This impressive home record suggests they are well-equipped to handle a VVV Venlo side that relies heavily on counterattacks and crosses. The hosts' ability to control matches is further underscored by their expected goals (xG) rate of 2.3 per match, significantly higher than the visitors' 1.5.
Despite a small head-to-head sample, where both teams share a win each, Volendam's overall form and underlying numbers offer a more compelling narrative. The model gives them a 70% probability of winning this match. Meanwhile, the expected goals against (xGA) further highlight Volendam's defensive solidity, allowing only 1.2 per match compared to VVV Venlo's more porous 1.9. The statistical edge in xPoints also tips in favor of the hosts, with Volendam boasting 9.9 over the visitors' 7.9.
The most likely scorelines of 2-1 and 2-0 for Volendam reflect their capability to both score and defend effectively. With an expected goals tally of 2.64 for the home side, a scoring output of two or more seems probable. The model's 71% lean toward over 2.5 goals is consistent with these projections. However, given VVV's playing style, there's still a 60% chance both teams find the net, hinting at potential gaps in Volendam's defense that the visitors could exploit.
A straightforward yet rewarding angle lies with Volendam's victory. Pinnacle offers odds of 1.65, aligning closely with the model's assessment and providing value for bettors seeking a stable, well-supported outcome. While potential for action exists, the analysis firmly points to a Volendam win as the smart play.
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 | Volendam | VVV-Venlo |
|---|---|---|
| Points | 9 | 12 |
| xPoints | 9.9 | 7.9 |
| xG per match | 2.3 | 1.5 |
| xGA per match | 1.2 | 1.9 |
| xG within 8s of winning the ball | 0.35 | 0.13 |
| xGA within 8s of losing the ball | 0.11 | 0.34 |
| Playing style | Volendam | VVV-Venlo |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.48 | 0.4 |
| xT per match | 1.2 | 1 |
| xTA per match | 0.96 | 1.8 |
| Won balls, offensive half | 25 | 23 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.3 | 0.3 |
| Pressing efficiency, offensive half | 0.27 | 0.22 |
| Entries into the box per match | 13 | 12 |
| Entries into the box against | 11 | 14 |
| Pass completion % | 0.75 | 0.73 |
| Pass completion % under pressure | 0.69 | 0.65 |
| Passes per match | 352 | 300 |
| Passes against per match | 322 | 366 |
| Switches of play per match | 27.8 | 23.3 |
| Long balls per match | 39 | 33 |
| Set pieces | Volendam | VVV-Venlo |
|---|---|---|
| xG from free kicks | 0.58 | 0.05 |
| Corners per match | 4.1 | 4.6 |
| Corners against per match | 6.6 | 5.6 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.38 | 0.43 |
| First touch, defensive corners % | 0.67 | 0.79 |
| Other | Volendam | VVV-Venlo |
|---|---|---|
| Throw-in control | 0.79 | 0.67 |
| The goalkeepers | Roy Johannes Maria Steur (Volendam) | Youri Schoonderwaldt (VVV-Venlo) |
|---|---|---|
| Saves | 18 | 22 |
| Save % | 67% | 69% |
| xG prevented | 41% | 33% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Volendam a 70% win probability. Full 1X2 picture: Volendam 70%, draw 17%, VVV-Venlo 14%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 71% and under at 29%.
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.