Conference League18°2,4 mm10 km/h

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    AjaxAjaxPossession & high press
    vs
    SionSionBalanced & physical
    The model's lean: 1 · Ajax (67%)

    AjaxSion · Conference League

    1 · Ajax 67%X 19%15% Sion · 2

    Analysis: AjaxSion

    Sofia 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.

    AjaxAjax
    Form LWWWD
    League ranking xG #1xGA #1xT #1xP/match #3Points #4
    Key players
    • Steven BerghuisRWxG 0.57 · xT 0.56
    • Anton GaaeiRBxG 0.25 · xT 0.66
    • Mika GodtsLWxG 0.76 · xT 0.43
    SionSion
    Form DWDW
    League ranking xG #9xGA #5xT #7xP/match #6Points #7
    Key players
    • Rilind NivokaziFxG 0.29 · xT 0.05
    • Ilyas ChouarefRWxG 0.08 · xT 0.34
    • Numa LavanchyRWBxG 0.02 · xT 0.22

    Match prediction: AjaxSion

    Predicted score matrix

    Sion
    Ajax
    0
    1
    2
    3
    4+
    0
    0–03.6%
    0–13.1%
    0–21.7%
    0–30.6%
    0–4+0.2%
    1
    1–07.7%
    1–18.3%
    1–24.1%
    1–31.4%
    1–4+0.4%
    2
    2–09.5%
    2–19.6%
    2–24.9%
    2–31.7%
    2–4+0.5%
    3
    3–07.6%
    3–17.7%
    3–23.9%
    3–31.3%
    3–4+0.4%
    4+
    4+–07.9%
    4+–18.0%
    4+–24.1%
    4+–31.4%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-010%
    3. 3.1-18%
    4. 4.1-08%
    5. 5.3-18%
    Expected goals
    2,391,01
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    Over 2,566%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Ajax to win67%
    • Over 1.5 goals86%

    Combined probability

    60%

    Fair odds

    1.68

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Ajax to win67%
    • Over 2.5 goals66%
    • Kasper Dolberg Rasmussen to score35%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score58%
    • Over 2.5 goals66%
    • Kasper Dolberg Rasmussen to score35%
    • Ali Kabacalman to be booked24%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Ajax
    Sion
    When goals are scored and conceded 2026
    Ajax (135)
    Sion (94)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Ajax
    Daley Blind: 398 passningar, xT 0.87BlindAaron Bouwman: 355 passningar, xT 0.5BouwmanYouri Regeer: 308 passningar, xT 0.24RegeerOwen Colin Wijndal: 207 passningar, xT 0.71WijndalLucas Rosa: 147 passningar, xT 0.32RosaSteven Berghuis: 140 passningar, xT 1.07BerghuisMika Godts: 137 passningar, xT 1.06GodtsAnton Gaaei: 118 passningar, xT 1.28GaaeiMaarten Vincent Paes: 98 passningar, xT -0.08PaesOscar Gloukh: 96 passningar, xT 0.55GloukhDavy Klaassen: 83 passningar, xT -0.03Klaassen
    Sion
    Ali Kabacalman: 264 passningar, xT 0.45KabacalmanJan Kronig: 237 passningar, xT 0.29KronigNoe Sow: 232 passningar, xT 0.32SowNuma Lavanchy: 216 passningar, xT 0.68LavanchyBaltazar Costa Rodrigues de Oliveira: 186 passningar, xT 0.28OliveiraAnthony Racioppi: 136 passningar, xT 0.08RacioppiIlyas Chouaref: 109 passningar, xT 1.09ChouarefNias Hefti: 105 passningar, xT 0.2HeftiFranck William Surdez: 65 passningar, xT 0.45SurdezMarquinhos Cipriano: 56 passningar, xT 0.19CiprianoDonat Rrudhani: 39 passningar, xT 0.28Rrudhani
    xT networks

    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.

    Ajax
    Daley Blind: 398 passningar, xT 0.87BlindAaron Bouwman: 355 passningar, xT 0.5BouwmanYouri Regeer: 308 passningar, xT 0.24RegeerOwen Colin Wijndal: 207 passningar, xT 0.71WijndalLucas Rosa: 147 passningar, xT 0.32RosaSteven Berghuis: 140 passningar, xT 1.07BerghuisMika Godts: 137 passningar, xT 1.06GodtsAnton Gaaei: 118 passningar, xT 1.28GaaeiMaarten Vincent Paes: 98 passningar, xT -0.08PaesOscar Gloukh: 96 passningar, xT 0.55GloukhDavy Klaassen: 83 passningar, xT -0.03Klaassen
    Sion
    Ali Kabacalman: 264 passningar, xT 0.45KabacalmanJan Kronig: 237 passningar, xT 0.29KronigNoe Sow: 232 passningar, xT 0.32SowNuma Lavanchy: 216 passningar, xT 0.68LavanchyBaltazar Costa Rodrigues de Oliveira: 186 passningar, xT 0.28OliveiraAnthony Racioppi: 136 passningar, xT 0.08RacioppiIlyas Chouaref: 109 passningar, xT 1.09ChouarefNias Hefti: 105 passningar, xT 0.2HeftiFranck William Surdez: 65 passningar, xT 0.45SurdezMarquinhos Cipriano: 56 passningar, xT 0.19CiprianoDonat Rrudhani: 39 passningar, xT 0.28Rrudhani

    The teams in numbers

    PerformanceAjaxSion
    Points108
    xPoints8.47.6
    xG per match3.72.1
    xGA per match0.480.81
    xG within 8s of winning the ball0.570.36
    xGA within 8s of losing the ball0.170.07
    Playing styleAjaxSion
    Build-up efficiency0.310.33
    Field tilt0.890.69
    xT per match2.41.4
    xTA per match0.480.66
    Won balls, offensive half2825
    Pressing intensity0.220.21
    Pressing efficiency0.280.24
    Pressing efficiency, offensive half0.260.18
    Entries into the box per match2817
    Entries into the box against56
    Pass completion %0.860.79
    Pass completion % under pressure0.810.71
    Passes per match647437
    Passes against per match238352
    Switches of play per match38.929.2
    Long balls per match3231
    Set piecesAjaxSion
    xG from free kicks0.020.19
    Corners per match116.7
    Corners against per match1.81.5
    xG per corner0.020.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.50.44
    First touch, defensive corners %0.140.5
    OtherAjaxSion
    Throw-in control0.870.82
    The goalkeepersMaarten Vincent Paes (Ajax)Anthony Racioppi (Sion)
    Saves96
    Save %64%60%
    xG prevented53%16%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Ajax vs Sion according to our model?

    The model gives Ajax a 67% win probability. Full 1X2 picture: Ajax 67%, draw 19%, Sion 15%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    Why are some legs locked in the bet builder?

    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.

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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.