Eerste Divisie14°7,2 mm24 km/h

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    VitesseVitessePossession & high press
    vs
    Jong PSVJong PSVPossession & high press
    The model's lean: 1 · Vitesse (49%)

    VitesseJong PSV · Eerste Divisie

    1 · Vitesse 49%X 23%28% Jong PSV · 2

    Analysis: VitesseJong PSV

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

    The sharpest number here is the 70% probability for over 2.5 goals, suggesting a higher-scoring affair is likely. Both teams, Vitesse and Jong PSV, favor a possession-oriented, high-press style, and with expected goals of 1.95 for the hosts and 1.67 for the visitors, the matchup leans toward an open game with multiple scoring opportunities. The head-to-head record is evenly split at 2-2 across four encounters, a small sample that takes a backseat to current form and xG metrics.

    Vitesse's tactical setup should find gaps against a PSV U21 side that narrowly edges them in points and xPoints this season. However, the home side's superior xG per match indicates they possess the tools to exploit any defensive lags from the visitors, despite marginally higher xGA figures. Considering these insights, a 2-1 win for Vitesse is a plausible outcome, aligning with the model's most likely scoreline.

    For bettors, the best angle lies in the goal market. Given the strong model support for over 2.5 goals at 70%, this is underscored by the aligned playing styles of both squads. Unibet's odds of 1.80 on this market present potential value for those looking to capitalize on expected offensive fireworks.

    VitesseVitesse
    Form DWLWW
    League ranking xG #3xGA #9xT #3xP/match #2Points #5
    Key players
    • Naoufal BannisFxG 0.84 · xT -0.11
    • Nathangelo Alexandro MarkeloRWBxG 0.05 · xT 0.37
    • Ricardo-Felipe SchwarzCMxG 0.19 · xT 0.30
    Jong PSVJong PSV
    Form LWDDW
    League ranking xG #7xGA #5xT #13xP/match #3Points #4
    Key players
    • Austyn Monet JonesFxG 0.71 · xT -0.01
    • Jordy BawuahCDMxG 0.10 · xT 0.06
    • Madi MonamayCBxG 0.07 · xT 0.07

    Match prediction: VitesseJong PSV

    Predicted score matrix

    Jong PSV
    Vitesse
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–14.2%
    0–23.7%
    0–32.1%
    0–4+1.3%
    1
    1–05.0%
    1–19.0%
    1–27.3%
    1–34.1%
    1–4+2.5%
    2
    2–05.1%
    2–18.5%
    2–27.1%
    2–33.9%
    2–4+2.4%
    3
    3–03.3%
    3–15.5%
    3–24.6%
    3–32.6%
    3–4+1.6%
    4+
    4+–02.5%
    4+–14.2%
    4+–23.5%
    4+–31.9%
    4+–4+1.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-19%
    2. 2.2-19%
    3. 3.1-27%
    4. 4.2-27%
    5. 5.3-16%
    Expected goals
    1,951,67
    Both teams to score
    70%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    Over 2,570%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Vitesse to win49%
    • Over 1.5 goals88%

    Combined probability

    39%

    Fair odds

    2.55

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

    02 · 3 legs

    Balanced

    • Vitesse to win49%
    • Over 2.5 goals70%
    • Naoufal Bannis to score32%

    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 score70%
    • Over 2.5 goals70%
    • Naoufal Bannis to score32%
    • Fabian Merién to be booked21%

    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
    Vitesse 2Draw 0Jong PSV 2
    Goals: 1010 (⌀ 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).

    Vitesse
    Jong PSV
    When goals are scored and conceded 2026
    Vitesse (107)
    Jong PSV (119)
    Pass networks

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

    Vitesse
    Omar Achouitar: 263 passningar, xT 1.06AchouitarRicardo-Felipe Schwarz: 215 passningar, xT 0.85SchwarzValon Zumberi: 208 passningar, xT 0.34ZumberiMarco Schikora: 155 passningar, xT 0.95SchikoraAyman Sellouf: 151 passningar, xT 0.6SelloufNathangelo Alexandro Markelo: 150 passningar, xT 1.04MarkeloChiel Olde Keizer: 106 passningar, xT 0.62KeizerConnor van den Berg: 72 passningar, xT 0.12BergMaximilian Brull: 71 passningar, xT 0.01BrullMathijs Marschalk: 56 passningar, xT 0.04MarschalkNaoufal Bannis: 43 passningar, xT -0.52Bannis
    Jong PSV
    Fabian Merién: 259 passningar, xT 0.13MeriénMadi Monamay: 208 passningar, xT 0.2MonamayKhadim Ngom: 167 passningar, xT 0.13NgomGino Verhulst: 159 passningar, xT 0.35VerhulstEssien Bassey: 142 passningar, xT 0.51BasseyMichael Bresser: 135 passningar, xT 0.3BresserShuryjano Cornecion: 100 passningar, xT 0.59CornecionFabio Kluit: 98 passningar, xT 0.32KluitJordy Bawuah: 74 passningar, xT 0.06BawuahJoël van den Berg: 74 passningar, xT 0BergSouleymane Lamine Sidibe: 72 passningar, xT 0.03Sidibe
    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.

    Vitesse
    Omar Achouitar: 263 passningar, xT 1.06AchouitarRicardo-Felipe Schwarz: 215 passningar, xT 0.85SchwarzValon Zumberi: 208 passningar, xT 0.34ZumberiMarco Schikora: 155 passningar, xT 0.95SchikoraAyman Sellouf: 151 passningar, xT 0.6SelloufNathangelo Alexandro Markelo: 150 passningar, xT 1.04MarkeloChiel Olde Keizer: 106 passningar, xT 0.62KeizerConnor van den Berg: 72 passningar, xT 0.12BergMaximilian Brull: 71 passningar, xT 0.01BrullMathijs Marschalk: 56 passningar, xT 0.04MarschalkNaoufal Bannis: 43 passningar, xT -0.52Bannis
    Jong PSV
    Fabian Merién: 259 passningar, xT 0.13MeriénMadi Monamay: 208 passningar, xT 0.2MonamayKhadim Ngom: 167 passningar, xT 0.13NgomGino Verhulst: 159 passningar, xT 0.35VerhulstEssien Bassey: 142 passningar, xT 0.51BasseyMichael Bresser: 135 passningar, xT 0.3BresserShuryjano Cornecion: 100 passningar, xT 0.59CornecionFabio Kluit: 98 passningar, xT 0.32KluitJordy Bawuah: 74 passningar, xT 0.06BawuahJoël van den Berg: 74 passningar, xT 0BergSouleymane Lamine Sidibe: 72 passningar, xT 0.03Sidibe

    The teams in numbers

    PerformanceVitesseJong PSV
    Points1011
    xPoints910.2
    xG per match21.7
    xGA per match1.41.2
    xG within 8s of winning the ball0.420.2
    xGA within 8s of losing the ball0.150.22
    Playing styleVitesseJong PSV
    Build-up efficiency0.320.29
    Field tilt0.60.6
    xT per match1.61.1
    xTA per match1.31.1
    Won balls, offensive half2626
    Pressing intensity0.220.24
    Pressing efficiency0.330.38
    Pressing efficiency, offensive half0.350.34
    Entries into the box per match1713
    Entries into the box against1413
    Pass completion %0.750.77
    Pass completion % under pressure0.720.72
    Passes per match348396
    Passes against per match316280
    Switches of play per match30.226.5
    Long balls per match3840
    Set piecesVitesseJong PSV
    xG from free kicks0.050.02
    Corners per match55.7
    Corners against per match54.5
    xG per corner0.020.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.280.53
    First touch, defensive corners %0.640.63
    OtherVitesseJong PSV
    Throw-in control0.750.77
    The goalkeepersConnor van den Berg (Vitesse)Khadim Ngom (Jong PSV)
    Saves1116
    Save %85%73%
    xG prevented87%76%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vitesse vs Jong PSV according to our model?

    The model gives Vitesse a 49% win probability. Full 1X2 picture: Vitesse 49%, draw 23%, Jong PSV 28%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 70% and under at 30%.

    Will both teams score?

    The probability of both teams scoring is 70% 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.