Eerste Divisie15°3,0 mm23 km/h

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    Jong AjaxJong AjaxPossession control
    vs
    RodaRodaPossession control
    The model's lean: 2 · Roda (47%)

    Jong AjaxRoda · Eerste Divisie

    1 · Jong Ajax 31%X 22%47% Roda · 2

    Analysis: Jong AjaxRoda

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The model leans towards Roda JC Kerkrade taking the edge with a 47% chance to win against Jong Ajax, who trail at a 31% probability. While both teams fancy possession control, the visitors seem better equipped to turn it into a tangible advantage. The expected goals tilt towards Roda, 1.82 to 1.49, indicating a slight but clear upper hand. This imbalance suggests a narrow win for Roda, though the small head-to-head sample between these sides shows an even split, further complicating the picture.

    Jong Ajax and Roda both have possession-oriented styles, which might lead to a tightly contested midfield battle. The numbers nudge towards a 1-2 away victory as one of the most likely outcomes, aligning with Roda's superior xG and xPoints metrics. Despite the possession similarities, Ajax Amsterdam B’s defensive frailties are evident, conceding 1.9 xGA per match compared to Roda's more robust 1.2.

    The damp weather, with 4.5 mm of rain expected, might suppress goal-scoring opportunities, but the model has already accounted for this. Even with the weather factor, over 2.5 goals are expected 64% of the time. This leans towards a match with multiple goals, favoring over-2.5-goal bettors, especially if both sides stick to their attacking tendencies.

    A potential 1-1 draw is given a 10% probability, a conservative estimate reflecting the tight contest that possession battles often yield. However, Roda's attacking efficiency and defensive stability suggest they might break through Jong Ajax's leaky backline more effectively.

    The sharpest angle here is the value on Roda JC Kerkrade to win at odds of 2.25 with Bet365, given their stronger metrics across the board. While no bet is a guarantee, the odds present an attractive risk-reward scenario based on the current form and statistics.

    Jong AjaxJong Ajax
    Form LLWDW
    League ranking xG #15xGA #17xT #19xP/match #18Points #11
    Key players
    • Pharell NashLWxG 0.17 · xT 0.33
    • Emre ÜnüvarRWxG 0.49 · xT 0.09
    • Alejandro Monserrate PueyoRWxG 0.11 · xT 0.11
    RodaRoda
    Form LWWDD
    League ranking xG #8xGA #6xT #9xP/match #4Points #9
    Key players
    • Joshua NisbetLWxG 0.10 · xT 0.14
    • Lucas BeertenCBxG 0.16 · xT 0.09
    • Mitchel PaulissenRWxG 0.07 · xT 0.08

    Match prediction: Jong AjaxRoda

    Predicted score matrix

    Roda
    Jong Ajax
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–16.4%
    0–26.1%
    0–33.7%
    0–4+2.5%
    1
    1–05.1%
    1–110.2%
    1–29.0%
    1–35.5%
    1–4+3.8%
    2
    2–04.0%
    2–17.4%
    2–26.7%
    2–34.1%
    2–4+2.8%
    3
    3–02.0%
    3–13.7%
    3–23.3%
    3–32.0%
    3–4+1.4%
    4+
    4+–01.0%
    4+–11.9%
    4+–21.7%
    4+–31.0%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.2-27%
    5. 5.0-16%
    Expected goals
    1,491,82
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    Over 2,564%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Roda to win47%
    • Over 1.5 goals85%

    Combined probability

    39%

    Fair odds

    2.58

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

    02 · 3 legs

    Balanced

    • Roda to win47%
    • Over 2.5 goals64%
    • Anthony Edsel Johannes van den Hurk to score26%

    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 score65%
    • Over 2.5 goals64%
    • Anthony Edsel Johannes van den Hurk to score26%
    • Lucas Beerten to be booked19%

    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

    Head-to-head

    4 matches
    Jong Ajax 1Draw 2Roda 1
    Goals: 98 (⌀ 4,2)

    Head-to-head based on Eerste Divisie data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Jong Ajax
    Roda
    When goals are scored and conceded 2026
    Jong Ajax (1214)
    Roda (65)
    Pass networks

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

    Jong Ajax
    Marvyn Muzungu: 286 passningar, xT 0.41MuzunguMylo van der Lans: 255 passningar, xT 0.17LansJoeri Heerkens: 156 passningar, xT 0.2HeerkensMark Verkuijl: 151 passningar, xT 0.01VerkuijlSinclair de Falco: 150 passningar, xT 0.13FalcoAlejandro Monserrate Pueyo: 130 passningar, xT 0.4PueyoMohamed Jabou Abdalla: 101 passningar, xT -0.15AbdallaRyan van de Pavert: 96 passningar, xT 0.09PavertPharell Nash: 91 passningar, xT 1.7NashTijn Peters: 54 passningar, xT 0.08PetersEmre Ünüvar: 49 passningar, xT 0.26Ünüvar
    Roda
    Marco Tol: 234 passningar, xT 0.35TolLucas Beerten: 227 passningar, xT 0.46BeertenJustin Treichel: 211 passningar, xT 0.08TreichelKoen Jansen: 191 passningar, xT 1.3JansenDyon Dorenbosch: 182 passningar, xT 0.43DorenboschJoshua Nisbet: 135 passningar, xT 0.32NisbetJérôme Déom: 125 passningar, xT 0.38DéomMitchel Paulissen: 122 passningar, xT 0.22PaulissenAnthony Van Den Hurk: 61 passningar, xT -0.45HurkXander van den Berg: 59 passningar, xT 0.54BergJeremiah Dennit Mensah: 58 passningar, xT 0.04Mensah
    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.

    Jong Ajax
    Marvyn Muzungu: 286 passningar, xT 0.41MuzunguMylo van der Lans: 255 passningar, xT 0.17LansJoeri Heerkens: 156 passningar, xT 0.2HeerkensMark Verkuijl: 151 passningar, xT 0.01VerkuijlSinclair de Falco: 150 passningar, xT 0.13FalcoAlejandro Monserrate Pueyo: 130 passningar, xT 0.4PueyoMohamed Jabou Abdalla: 101 passningar, xT -0.15AbdallaRyan van de Pavert: 96 passningar, xT 0.09PavertPharell Nash: 91 passningar, xT 1.7NashTijn Peters: 54 passningar, xT 0.08PetersEmre Ünüvar: 49 passningar, xT 0.26Ünüvar
    Roda
    Marco Tol: 234 passningar, xT 0.35TolLucas Beerten: 227 passningar, xT 0.46BeertenJustin Treichel: 211 passningar, xT 0.08TreichelKoen Jansen: 191 passningar, xT 1.3JansenDyon Dorenbosch: 182 passningar, xT 0.43DorenboschJoshua Nisbet: 135 passningar, xT 0.32NisbetJérôme Déom: 125 passningar, xT 0.38DéomMitchel Paulissen: 122 passningar, xT 0.22PaulissenAnthony Van Den Hurk: 61 passningar, xT -0.45HurkXander van den Berg: 59 passningar, xT 0.54BergJeremiah Dennit Mensah: 58 passningar, xT 0.04Mensah

    The teams in numbers

    PerformanceJong AjaxRoda
    Points78
    xPoints68.4
    xG per match1.31.7
    xGA per match1.91.2
    xG within 8s of winning the ball0.220.11
    xGA within 8s of losing the ball0.190.13
    Playing styleJong AjaxRoda
    Build-up efficiency0.290.3
    Field tilt0.440.4
    xT per match0.861.2
    xTA per match1.31.1
    Won balls, offensive half2323
    Pressing intensity0.240.22
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.290.25
    Entries into the box per match1013
    Entries into the box against1514
    Pass completion %0.780.76
    Pass completion % under pressure0.730.72
    Passes per match357356
    Passes against per match310358
    Switches of play per match31.316.6
    Long balls per match3929
    Set piecesJong AjaxRoda
    xG from free kicks0.040.07
    Corners per match4.34.6
    Corners against per match7.63.2
    xG per corner0.030.04
    xGA per corner against0.020.07
    First touch, offensive corners %0.460.43
    First touch, defensive corners %0.590.62
    OtherJong AjaxRoda
    Throw-in control0.710.73
    The goalkeepersJoeri Heerkens (Jong Ajax)Justin Treichel (Roda)
    Saves2617
    Save %67%81%
    xG prevented36%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Jong Ajax vs Roda according to our model?

    The model gives Roda a 47% win probability. Full 1X2 picture: Jong Ajax 31%, draw 22%, Roda 47%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.