Eerste Divisie16°2,7 mm32 km/h

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    Jong AZJong AZPossession control
    vs
    VolendamVolendamPossession control
    The model's lean: 2 · Volendam (41%)

    Jong AZVolendam · Eerste Divisie

    1 · Jong AZ 35%X 24%41% Volendam · 2

    Analysis: Jong AZVolendam

    Sofia Andersson · · The model's read on the match · How the predictions work

    The model gives Volendam a narrow edge with a 41% win probability against Jong AZ's 35%, hinting at a tight contest. Despite Jong AZ having a slightly better points tally and marginally higher expected points, Volendam's offensive xG of 2.1 per match stands out, indicating their potent attacking threat. However, both teams share a possession control style, possibly leading to a closely fought midfield battle.

    Recent head-to-head encounters, though a small sample of just two games, have all gone Volendam's way. Yet, the expected goals data for the hosts is robust at 1.61, suggesting they can break through Volendam's defense, which concedes 1.3 xGA per match. This sets the stage for a potentially balanced scoreline, with the 1-1 result featuring prominently at an 11% likelihood.

    The over 2.5 goals market leans towards a high-scoring game at 61% likelihood, and both teams are expected to find the net. Volendam, as the visitors, could capitalize on their head-to-head edge and attacking efficiency.

    Jong AZJong AZ
    Form WLLWW
    League ranking xG #9xGA #3xT #12xP/match #8Points #8
    Key players
    • Ayoub OufkirFxG 0.52 · xT 0.24
    • Julian OeripCAMxG 0.21 · xT 0.16
    • Jesper ZwartRWBxG 0.05 · xT 0.09
    VolendamVolendam
    Form LWLWL
    League ranking xG #2xGA #7xT #11xP/match #9Points #13
    Key players
    • Reuven NiemeijerFxG 0.61 · xT 0.02
    • Henk VeermanLWxG 0.84 · xT 0.11
    • Luca BlondeauCBxG 0.02 · xT 0.06

    Match prediction: Jong AZVolendam

    Predicted score matrix

    Volendam
    Jong AZ
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–16.3%
    0–25.1%
    0–32.6%
    0–4+1.4%
    1
    1–06.7%
    1–111.0%
    1–28.2%
    1–34.2%
    1–4+2.2%
    2
    2–05.6%
    2–18.6%
    2–26.6%
    2–33.3%
    2–4+1.8%
    3
    3–03.0%
    3–14.6%
    3–23.5%
    3–31.8%
    3–4+1.0%
    4+
    4+–01.7%
    4+–12.6%
    4+–22.0%
    4+–31.0%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.2-27%
    Expected goals
    1,611,53
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    Over 2,561%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Volendam or draw (X2)61%
    • Over 1.5 goals82%

    Combined probability

    50%

    Fair odds

    2.02

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

    02 · 3 legs

    Balanced

    • Double chance Volendam or draw (X2)61%
    • Over 2.5 goals61%
    • Henk Veerman to score21%

    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 score63%
    • Over 2.5 goals61%
    • Bendegúz Kovács to score27%
    • Julian Sijbrands to be booked23%

    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

    2 matches
    Jong AZ 0Draw 0Volendam 2
    Goals: 03 (⌀ 1,5)

    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 AZ
    Volendam
    When goals are scored and conceded 2026
    Jong AZ (1512)
    Volendam (1410)
    Pass networks

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

    Jong AZ
    Mathijs Menu: 211 passningar, xT 0.33MenuJesper Zwart: 204 passningar, xT 0.42ZwartJulian Oerip: 204 passningar, xT 0.86OeripAndrea Natali: 151 passningar, xT 0.33NataliRio Robbemond: 140 passningar, xT 0.26RobbemondFrej Elkjær Andersen: 99 passningar, xT 0.12AndersenRion Ichihara: 93 passningar, xT 0.15IchiharaKiyani Zeggen: 92 passningar, xT 0.06ZeggenTycho de Wit: 70 passningar, xT 0.3WitIsmail Ka: 67 passningar, xT 0.08KaJulian Sijbrands: 66 passningar, xT 0.06Sijbrands
    Volendam
    Precious Joel Uche-Chukwu Ugwu: 236 passningar, xT 0.37UgwuDaan Huisman: 198 passningar, xT 0.15HuismanErik Schouten: 194 passningar, xT 0.36SchoutenRoy Johannes Maria Steur: 184 passningar, xT 0.42SteurLuca Blondeau: 169 passningar, xT 0.19BlondeauNordin Bukala: 150 passningar, xT 0.2BukalaMawouna Amevor: 104 passningar, xT 0.15AmevorNick Doodeman: 100 passningar, xT 1.52DoodemanMike Kleijn: 77 passningar, xT 0.34KleijnAlex Plat: 71 passningar, xT 0.37PlatReuven Niemeijer: 59 passningar, xT -0.05Niemeijer
    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 AZ
    Mathijs Menu: 211 passningar, xT 0.33MenuJesper Zwart: 204 passningar, xT 0.42ZwartJulian Oerip: 204 passningar, xT 0.86OeripAndrea Natali: 151 passningar, xT 0.33NataliRio Robbemond: 140 passningar, xT 0.26RobbemondFrej Elkjær Andersen: 99 passningar, xT 0.12AndersenRion Ichihara: 93 passningar, xT 0.15IchiharaKiyani Zeggen: 92 passningar, xT 0.06ZeggenTycho de Wit: 70 passningar, xT 0.3WitIsmail Ka: 67 passningar, xT 0.08KaJulian Sijbrands: 66 passningar, xT 0.06Sijbrands
    Volendam
    Precious Joel Uche-Chukwu Ugwu: 236 passningar, xT 0.37UgwuDaan Huisman: 198 passningar, xT 0.15HuismanErik Schouten: 194 passningar, xT 0.36SchoutenRoy Johannes Maria Steur: 184 passningar, xT 0.42SteurLuca Blondeau: 169 passningar, xT 0.19BlondeauNordin Bukala: 150 passningar, xT 0.2BukalaMawouna Amevor: 104 passningar, xT 0.15AmevorNick Doodeman: 100 passningar, xT 1.52DoodemanMike Kleijn: 77 passningar, xT 0.34KleijnAlex Plat: 71 passningar, xT 0.37PlatReuven Niemeijer: 59 passningar, xT -0.05Niemeijer

    The teams in numbers

    PerformanceJong AZVolendam
    Points96
    xPoints9.27.5
    xG per match1.62.1
    xGA per match1.11.3
    xG within 8s of winning the ball0.140.31
    xGA within 8s of losing the ball0.160.11
    Playing styleJong AZVolendam
    Build-up efficiency0.320.31
    Field tilt0.550.47
    xT per match1.11.1
    xTA per match0.881
    Won balls, offensive half2625
    Pressing intensity0.220.23
    Pressing efficiency0.30.29
    Pressing efficiency, offensive half0.240.26
    Entries into the box per match1913
    Entries into the box against1113
    Pass completion %0.780.76
    Pass completion % under pressure0.720.69
    Passes per match398359
    Passes against per match351332
    Switches of play per match25.829.8
    Long balls per match4841
    Set piecesJong AZVolendam
    xG from free kicks0.030.27
    Corners per match4.94.3
    Corners against per match46.3
    xG per corner0.010.02
    xGA per corner against0.040.01
    First touch, offensive corners %0.50.43
    First touch, defensive corners %0.610.68
    OtherJong AZVolendam
    Throw-in control0.830.77
    The goalkeepersKiyani Zeggen (Jong AZ)Roy Johannes Maria Steur (Volendam)
    Saves1018
    Save %59%67%
    xG prevented47%41%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Jong AZ vs Volendam according to our model?

    The model gives Volendam a 41% win probability. Full 1X2 picture: Jong AZ 35%, draw 24%, Volendam 41%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.