01 · 2 legs
Safe
- Ajax to win75%
- Over 1.5 goals88%
EredivisieJohan Cruijff Arena, Amsterdam14°8,7 mm19 km/h
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AjaxPossession & high pressAnna Karlsson · · A data-driven preview · How the predictions work
TEXT: With possession stats and pressing tactics ready to define the shape of the game, Ajax look set to dominate the proceedings against an Excelsior side prepared to defend deep and strike direct. The hosts' high-pressure style contrasts sharply with the visitors' more reserved approach, setting the stage for a clash of footballing philosophies.
Despite Excelsior's recent head-to-head advantage – a win and a draw in their two meetings since 2022 – the sample size is too small to overshadow Ajax's overall form. The model sees a 75% chance of victory for the Amsterdam side, suggesting that their past struggles against the visitors may not hold much weight. Meanwhile, Excelsior's scoring streak of 10 consecutive league matches indicates they won't be easily kept at bay.
Digging into the numbers, Ajax's expected goals of 2.62 dwarf Excelsior's 1.01, pointing towards a likely win for the home team. However, with Ajax winning just 58% of their home fixtures historically and Excelsior's ability to find the net consistently, a goal from both sides seems likely. The model's most probable scorelines highlight a 2-1 or 2-0 result, underlining the home side's attacking prowess.
Given the 70% likelihood of over 2.5 goals and both teams to score sitting at 59%, betting on Ajax to win with a scoreline of 2-1 or 3-1 could be valuable. As the numbers suggest a goal-filled evening, this represents the sharpest angle for bettors seeking a bit of value.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Ajax | X | 2 · Excelsior |
|---|---|---|---|
| Bet365 | EV+ 0% 1.33 | 5.25 | 7.50 |
| Betsafe | EV+ 1% 1.35 | 4.71 | 8.53 |
| Betsson | EV+ 1% 1.35 | 4.71 | 8.53 |
| Nordicbet | EV+ 1% 1.35 | 4.71 | 8.53 |
Odds updated 11 Sept, 05:38
Head-to-head based on Eredivisie data since 2022.
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 | Ajax | Excelsior |
|---|---|---|
| Points | 7 | 10 |
| xPoints | 6.8 | 9 |
| xG per match | 2.2 | 1.6 |
| xGA per match | 1.3 | 1.2 |
| xG within 8s of winning the ball | 0.29 | 0.17 |
| xGA within 8s of losing the ball | 0.17 | 0.13 |
| Playing style | Ajax | Excelsior |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.7 | 0.41 |
| xT per match | 1.5 | 1.1 |
| xTA per match | 0.77 | 1.4 |
| Won balls, offensive half | 24 | 32 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.27 | 0.27 |
| Pressing efficiency, offensive half | 0.2 | 0.23 |
| Entries into the box per match | 15 | 12 |
| Entries into the box against | 9 | 15 |
| Pass completion % | 0.82 | 0.72 |
| Pass completion % under pressure | 0.75 | 0.67 |
| Passes per match | 464 | 301 |
| Passes against per match | 324 | 465 |
| Switches of play per match | 24.6 | 32.9 |
| Long balls per match | 34 | 45 |
| Set pieces | Ajax | Excelsior |
|---|---|---|
| xG from free kicks | 0.01 | 0 |
| Corners per match | 5.4 | 5 |
| Corners against per match | 2.5 | 5 |
| xG per corner | 0.04 | 0.06 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.45 | 0.4 |
| First touch, defensive corners % | 0.7 | 0.68 |
| Other | Ajax | Excelsior |
|---|---|---|
| Throw-in control | 0.73 | 0.72 |
| The goalkeepers | Marc-André ter Stegen (Ajax) | Stijn van Gassel (Excelsior) |
|---|---|---|
| Saves | 15 | 11 |
| Save % | 75% | 69% |
| xG prevented | 60% | 60% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Ajax a 75% win probability. Full 1X2 picture: Ajax 75%, draw 16%, Excelsior 9%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 70% and under at 30%.
The probability of both teams scoring is 59% 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.