01 · 2 legs
Safe
- Ajax to win67%
- Over 1.5 goals86%
Conference League18°2,4 mm10 km/h
Läs på svenska
AjaxPossession & high pressSofia Andersson · · The model's read on the match · How the predictions work
Ajax's commanding home form and attacking prowess set the stage for a likely win against Sion in the Conference League clash. The Dutch side's statistical dominance is underscored by an expected goals (xG) figure of 2.39 compared to Sion's 1.01, highlighting the home side's attacking edge. The model favors Ajax with a 67% win probability, and while Sion has a physical playing style, it’s unlikely to withstand Ajax’s high press and possession game.
The most probable outcomes are 2-1 or 2-0 in favor of Ajax, each at 10%. The over 2.5 goals market leans towards being a solid bet at 66%, given both teams' scoring potential and defensive vulnerabilities. Ajax's xG per match of 3.7, significantly outpacing Sion's 2.1, suggests they will create numerous chances. Meanwhile, Ajax’s xGA per match of 0.48 highlights their defensive strength, though the visitors might still nick a goal — as reflected by the 58% probability for both teams to score.
Sion’s balanced and physical approach may keep the game competitive, but the small head-to-head sample gives little weight to historical encounters. Ajax's possession-heavy style should control the tempo, minimizing Sion's opportunities. The expected rain of 2.4 mm could slightly dampen goal-scoring prospects, though it is already factored into the model's numbers.
For value hunters, Bet365 offers an attractive 2.20 on over 2.5 goals, considering the alignment of probabilities and the attacking profiles of both teams. Though Ajax looks likely to secure the points, the betting edge emerges in the goal market, where the over/under threshold is tested by the attacking inclination of both sides.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Sion |
|---|---|---|
| Points | 10 | 8 |
| xPoints | 8.4 | 7.6 |
| xG per match | 3.7 | 2.1 |
| xGA per match | 0.48 | 0.81 |
| xG within 8s of winning the ball | 0.57 | 0.36 |
| xGA within 8s of losing the ball | 0.17 | 0.07 |
| Playing style | Ajax | Sion |
|---|---|---|
| Build-up efficiency | 0.31 | 0.33 |
| Field tilt | 0.89 | 0.69 |
| xT per match | 2.4 | 1.4 |
| xTA per match | 0.48 | 0.66 |
| Won balls, offensive half | 28 | 25 |
| Pressing intensity | 0.22 | 0.21 |
| Pressing efficiency | 0.28 | 0.24 |
| Pressing efficiency, offensive half | 0.26 | 0.18 |
| Entries into the box per match | 28 | 17 |
| Entries into the box against | 5 | 6 |
| Pass completion % | 0.86 | 0.79 |
| Pass completion % under pressure | 0.81 | 0.71 |
| Passes per match | 647 | 437 |
| Passes against per match | 238 | 352 |
| Switches of play per match | 38.9 | 29.2 |
| Long balls per match | 32 | 31 |
| Set pieces | Ajax | Sion |
|---|---|---|
| xG from free kicks | 0.02 | 0.19 |
| Corners per match | 11 | 6.7 |
| Corners against per match | 1.8 | 1.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.04 | 0.02 |
| First touch, offensive corners % | 0.5 | 0.44 |
| First touch, defensive corners % | 0.14 | 0.5 |
| Other | Ajax | Sion |
|---|---|---|
| Throw-in control | 0.87 | 0.82 |
| The goalkeepers | Maarten Vincent Paes (Ajax) | Anthony Racioppi (Sion) |
|---|---|---|
| Saves | 9 | 6 |
| Save % | 64% | 60% |
| xG prevented | 53% | 16% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Ajax a 67% win probability. Full 1X2 picture: Ajax 67%, draw 19%, Sion 15%.
The model's most likely final score is 2-1 at 10% probability.
The model rates over 2.5 goals at 66% and under at 34%.
The probability of both teams scoring is 58% 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.