Eerste Divisie25°12 km/hUpdated

    Läs på svenska
    MVV MaastrichtMVV MaastrichtLow block & direct
    vs
    The model's lean: 2 · Jong Utrecht (40%)
    Jong UtrechtJong UtrechtPossession control

    MVV MaastrichtJong Utrecht · Eerste Divisie

    1 · MVV Maastricht 36%X 24%40% Jong Utrecht · 2
    MVV MaastrichtMVV Maastricht
    Form LLDDL
    League ranking xG #19xGA #20xT #10xP/match #20Points #19
    Key players
    • Camil Mmaee NwamebenFxG 0.21 · xT 0.12
    • Sven BrakenFxG 0.33 · xT 0.05
    • Ilano Silva TimasLWxG 0.15 · xT 0.19
    Jong UtrechtJong Utrecht
    Form LLWDW
    League ranking xG #12xGA #5xT #16xP/match #4Points #13
    Key players
    • Rafik El ArguiouiFxG 0.52 · xT 0.11
    • Noa DundasFxG 0.43 · xT 0.09
    • Oualid AgougilCAMxG 0.1 · xT 0.13

    Match prediction: MVV MaastrichtJong Utrecht

    Predicted score matrix

    Jong Utrecht
    MVV Maastricht
    0
    1
    2
    3
    4+
    0
    0–06.8%
    0–18.7%
    0–26.4%
    0–33.0%
    0–4+1.4%
    1
    1–08.3%
    1–112.4%
    1–28.5%
    1–34.0%
    1–4+1.9%
    2
    2–05.8%
    2–18.1%
    2–25.7%
    2–32.7%
    2–4+1.3%
    3
    3–02.6%
    3–13.6%
    3–22.5%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.2%
    4+–11.6%
    4+–21.1%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,341,41
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,7
    Under 2,548%
    Over 2,552%

    Odds & value

    No odds available yet.

    Analysis: MVV MaastrichtJong Utrecht

    Erik Lindberg · · How the predictions work

    Utrecht U21's knack for possession control could be the key factor when they face MVV Maastricht, with the visitors holding a slight edge not just in the bookies' eyes but also across a number of telling metrics. The model gives Utrecht U21 a 40% chance of victory, compared to MVV Maastricht's 36%, highlighting a subtle but significant confidence in the visiting side. This aligns with their superior xPoints tally of 56.5 compared to MVV's 38.3, suggesting that results have mostly mirrored their performances on the pitch.

    MVV Maastricht, preferring a low defence and direct style, might struggle to impose themselves against the more fluid and controlling Utrecht U21, who boast a better xG per match at 1.5 versus MVV's 1.0. While MVV will look to disrupt with quick transitions, their defensive frailty, shown by an xGA of 1.9 per match, could be their undoing against a side that creates more and concedes less. Utrecht U21’s xGA of 1.3 provides a solid platform from which to exploit MVV's vulnerabilities.

    MVV Maastricht have managed just one win against Utrecht U21 since 2023, a record that doesn't inspire confidence. Historically, the head-to-head favors Utrecht U21 with two wins and a draw, underlining their recent ascendancy. With the expected goals almost evenly split — 1.34 for MVV Maastricht and 1.41 for Utrecht U21 — and the most likely scorelines pointing towards a 1-1 draw or a narrow Utrecht victory, this clash teeters on the edge of competitive balance.

    The over 2.5 goals market might just tip the scales, with a 52% probability suggesting goals could flow if early chances are seized. Both teams scoring sits at a tempting 56%, yet the sharper value could lie with Utrecht U21 snatching a 1-2 win. Bet365 offers Utrecht U21 at odds that imply value, making them an attractive proposition for those backing their possession game to outlast MVV's more direct approach.

    Statistics

    Head-to-head

    4 matches
    MVV Maastricht 1Draw 1Jong Utrecht 2
    Goals: 119 (⌀ 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).

    MVV Maastricht
    Jong Utrecht
    When goals are scored and conceded 2025
    MVV Maastricht (4173)
    Jong Utrecht (5862)
    Pass networks

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

    MVV Maastricht
    Finn Jesper Dicke: 172 passningar, xT 0.51DickeStan Van Dessel: 161 passningar, xT 0.56DesselWout Coomans: 148 passningar, xT 0.79CoomansSem Westerveld: 133 passningar, xT 0.28WesterveldAntoine Beydts: 120 passningar, xT 0.36BeydtsLenn Minh Tran: 120 passningar, xT 0.44TranIlano Silva Timas: 109 passningar, xT 0.31TimasAdam Zaian: 100 passningar, xT 0.22ZaianIlias Breugelmans: 95 passningar, xT 0.13BreugelmansSven Braken: 65 passningar, xT 0.26BrakenRobert Klaasen: 60 passningar, xT 0.12Klaasen
    Jong Utrecht
    Wessel Kooy: 223 passningar, xT 0.33KooyPer Kloosterboer: 197 passningar, xT 0.46KloosterboerNeal Viereck: 174 passningar, xT 0.13ViereckSil van der Wegen: 114 passningar, xT 0.33WegenMees Eppink: 95 passningar, xT 0.14EppinkZidane Aamar Iqbal: 93 passningar, xT 0.52IqbalNoël Beulens: 87 passningar, xT 0.45BeulensRafik El Arguioui: 85 passningar, xT 0.48ArguiouiEmirhan Demircan: 71 passningar, xT 0.04DemircanNoa Dundas: 62 passningar, xT 0.09DundasChukwuemeka Adiele: 62 passningar, xT 0.02Adiele
    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.

    MVV Maastricht
    Finn Jesper Dicke: 172 passningar, xT 0.51DickeStan Van Dessel: 161 passningar, xT 0.56DesselWout Coomans: 148 passningar, xT 0.79CoomansSem Westerveld: 133 passningar, xT 0.28WesterveldAntoine Beydts: 120 passningar, xT 0.36BeydtsLenn Minh Tran: 120 passningar, xT 0.44TranIlano Silva Timas: 109 passningar, xT 0.31TimasAdam Zaian: 100 passningar, xT 0.22ZaianIlias Breugelmans: 95 passningar, xT 0.13BreugelmansSven Braken: 65 passningar, xT 0.26BrakenRobert Klaasen: 60 passningar, xT 0.12Klaasen
    Jong Utrecht
    Wessel Kooy: 223 passningar, xT 0.33KooyPer Kloosterboer: 197 passningar, xT 0.46KloosterboerNeal Viereck: 174 passningar, xT 0.13ViereckSil van der Wegen: 114 passningar, xT 0.33WegenMees Eppink: 95 passningar, xT 0.14EppinkZidane Aamar Iqbal: 93 passningar, xT 0.52IqbalNoël Beulens: 87 passningar, xT 0.45BeulensRafik El Arguioui: 85 passningar, xT 0.48ArguiouiEmirhan Demircan: 71 passningar, xT 0.04DemircanNoa Dundas: 62 passningar, xT 0.09DundasChukwuemeka Adiele: 62 passningar, xT 0.02Adiele

    The teams in numbers

    PerformanceMVV MaastrichtJong Utrecht
    Points3846
    xPoints38.356.5
    xG per match11.5
    xGA per match1.91.3
    xG within 8s of winning the ball0.140.25
    xGA within 8s of losing the ball0.280.16
    Playing styleMVV MaastrichtJong Utrecht
    Build-up efficiency0.30.28
    Field tilt0.410.45
    xT per match10.9
    xTA per match1.31.1
    Won balls, offensive half2527
    Pressing intensity0.230.23
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.320.32
    Entries into the box per match1012
    Entries into the box against1613
    Pass completion %0.750.75
    Pass completion % under pressure0.690.72
    Passes per match314325
    Passes against per match421365
    Switches of play per match20.823.6
    Long balls per match3434
    Set piecesMVV MaastrichtJong Utrecht
    xG from free kicks0.090.07
    Corners per match44.3
    Corners against per match6.65.3
    xG per corner0.050.06
    xGA per corner against0.060.04
    First touch, offensive corners %0.410.39
    First touch, defensive corners %0.540.61
    OtherMVV MaastrichtJong Utrecht
    Throw-in control0.70.72
    The goalkeepersSem Westerveld (MVV Maastricht)Kevin Gadellaa (Jong Utrecht)
    Saves15778
    Save %69%66%
    xG prevented46%42%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins MVV Maastricht vs Jong Utrecht according to our model?

    The model gives Jong Utrecht a 40% win probability. Full 1X2 picture: MVV Maastricht 36%, draw 24%, Jong Utrecht 40%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.

    More matches in the league

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