Eerste Divisie16°10 km/h

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    TOP OssTOP OssLow block & direct
    vs
    MVV MaastrichtMVV MaastrichtPossession control
    The model's lean: 2 · MVV Maastricht (39%)Best value by the model: Under 0,5 @ 15.00 (+23 %)

    TOP Oss vs MVV Maastricht · Eerste Divisie

    1 · TOP Oss 33%X 28%39% MVV Maastricht · 2

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    Analysis: TOP Oss – MVV Maastricht

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TOP Oss holds the historical edge over MVV Maastricht in their limited six-match head-to-head since 2023, with three wins to the visitors' two. Yet, this historical dominance doesn't fully align with the current form, which tilts in favor of the visitors. MVV Maastricht sits seven points ahead in the table, indicating a more consistent performance this season.

    The contrasting styles of play could dictate the tempo of the match. The home team opts for a low defensive line with direct play, perhaps hoping to capitalize on quick transitions. Meanwhile, the visitors prefer to control possession, aiming to dismantle defenses through methodical build-up. This tactical clash might see the hosts struggle to keep possession, but it also presents opportunities to break on the counter against Maastricht's higher line.

    TOP Oss's expected goals (1.3 per match) slightly edge out the visitors (1.2), suggesting they can create chances against the run of play. However, their expected goals against (1.7) reveals a vulnerability in defense that MVV Maastricht could exploit, given their more organized backline with an xGA of 1.2. Despite the hosts' attacking edge, they could find themselves exposed at the back.

    The betting market leans toward MVV Maastricht at a 39% probability of winning, slightly more than TOP Oss's 33%, with the draw at 28%. The model projects a tight match, with 1-1 (13%) as the most likely scoreline. Given the expected goals and defensive statistics, the probability of over 2.5 goals sits at 47%. However, there might be value in backing MVV Maastricht at odds of 2.50 with bet365, potentially capitalizing on their superior form and possession-based approach to edge a narrow victory.

    TOP OssTOP Oss
    Form LWLLW
    League ranking xG #15xGA #14xT #13xP/match #9Points #18
    Key players
    • Franslyn NsingiFxG 0.42 · xT 0.03
    • Mauresmo Johannes Jacob Danny Silvinho HinokeLWxG 0.15 · xT 0.11
    • Marcelencio EsajasCMxG 0.02 · xT 0.04
    MVV MaastrichtMVV Maastricht
    Form WWWDL
    League ranking xG #17xGA #4xT #19xP/match #12Points #6
    Key players
    • Olivier DumontRWxG 0.18 · xT 0.10
    • Sil van der WegenRBxG 0.01 · xT 0.10
    • Delano AsanteRWxG 0.03 · xT 0.11

    Match prediction: TOP Oss – MVV Maastricht

    Predicted score matrix

    MVV Maastricht →
    TOP Oss →
    0
    1
    2
    3
    4+
    0
    0–08.2%
    0–110.2%
    0–27.1%
    0–33.2%
    0–4+1.4%
    1
    1–09.1%
    1–113.0%
    1–28.5%
    1–33.8%
    1–4+1.7%
    2
    2–05.7%
    2–17.6%
    2–25.1%
    2–32.3%
    2–4+1.0%
    3
    3–02.3%
    3–13.1%
    3–22.0%
    3–30.9%
    3–4+0.4%
    4+
    4+–00.9%
    4+–11.2%
    4+–20.8%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.0-08%
    Expected goals
    1,20–1,34
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,5
    Under 2,553%
    @2.18EV+16%
    Over 2,547%
    @1.65

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance MVV Maastricht or draw (X2)67%
    • Under 3.5 goals75%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance MVV Maastricht or draw (X2)67%
    • Under 2.5 goals53%
    • Noa El Hamdaoui to score24%

    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 score52%
    • Over 2.5 goals47%
    • Noa El Hamdaoui to score24%
    • Milan Hofland 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 0.58% probability@15.00BetsafeEV+23%reference odds
    • Under 0.58% probability@15.00BetssonEV+23%reference odds
    • Under 0.58% probability@15.00NordicbetEV+23%reference odds
    Bookmaker1 · TOP OssX2 · MVV Maastricht
    Betsafe2.223.45
    EV+ 14%
    2.90
    Betsson2.223.45
    EV+ 14%
    2.90
    Nordicbet2.223.45
    EV+ 14%
    2.90

    Odds updated 27 Sept, 14:35

    Odds movement

    1-1 %
    44 %39 %

    2.25 → 2.22

    X+1 %
    29 %24 %

    3.40 → 3.45

    20 %
    34 %29 %

    2.90 → 2.90

    Over 2,50 %
    59 %54 %

    1.65 → 1.65

    Betsson · 2 recorded price levels · 26/09/2026 → 27/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    TOP Oss 3Draw 1MVV Maastricht 2
    Goals: 9–5 (⌀ 2,3)

    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).

    TOP Oss
    MVV Maastricht
    When goals are scored and conceded — 2026
    TOP Oss (8–12)
    MVV Maastricht (10–11)
    Pass networks

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

    TOP Oss
    Delano Vianello: 190 passningar, xT 0.45VianelloIlounga Isea Pata: 149 passningar, xT 1.09PataMike Havekotte: 149 passningar, xT 0.26HavekotteJulian Kuijpers: 119 passningar, xT 1KuijpersLeonel Miquel Francisco Miguel: 86 passningar, xT 0.08MiguelMarcelencio Esajas: 68 passningar, xT 0.19EsajasRichard Johannes Cornelis van der Venne: 65 passningar, xT 0.08VenneMauresmo Johannes Jacob Danny Silvinho Hinoke: 61 passningar, xT 0.51HinokeMaurilio de Lannoy: 47 passningar, xT 0.16LannoyJustin Mathieu: 41 passningar, xT 0.1MathieuLars Mol: 32 passningar, xT 0.03Mol
    MVV Maastricht
    Finn Jesper Dicke: 257 passningar, xT 0.76DickeSil van der Wegen: 223 passningar, xT 0.62WegenSven Bouland: 196 passningar, xT 0.23BoulandDelano Asante: 180 passningar, xT 0.62AsanteMilan Hofland: 152 passningar, xT 0.39HoflandOlivier Dumont: 133 passningar, xT 0.25DumontLennerd Daneels: 131 passningar, xT 0.69DaneelsHugo Wentges: 128 passningar, xT 0.29WentgesElias Sierra-Cappelletti: 126 passningar, xT -0.13Sierra-CappellettiRobert Klaasen: 91 passningar, xT 0.2KlaasenStan Van Dessel: 81 passningar, xT 0.15Dessel
    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.

    TOP Oss
    Delano Vianello: 190 passningar, xT 0.45VianelloIlounga Isea Pata: 149 passningar, xT 1.09PataMike Havekotte: 149 passningar, xT 0.26HavekotteJulian Kuijpers: 119 passningar, xT 1KuijpersLeonel Miquel Francisco Miguel: 86 passningar, xT 0.08MiguelMarcelencio Esajas: 68 passningar, xT 0.19EsajasRichard Johannes Cornelis van der Venne: 65 passningar, xT 0.08VenneMauresmo Johannes Jacob Danny Silvinho Hinoke: 61 passningar, xT 0.51HinokeMaurilio de Lannoy: 47 passningar, xT 0.16LannoyJustin Mathieu: 41 passningar, xT 0.1MathieuLars Mol: 32 passningar, xT 0.03Mol
    MVV Maastricht
    Finn Jesper Dicke: 257 passningar, xT 0.76DickeSil van der Wegen: 223 passningar, xT 0.62WegenSven Bouland: 196 passningar, xT 0.23BoulandDelano Asante: 180 passningar, xT 0.62AsanteMilan Hofland: 152 passningar, xT 0.39HoflandOlivier Dumont: 133 passningar, xT 0.25DumontLennerd Daneels: 131 passningar, xT 0.69DaneelsHugo Wentges: 128 passningar, xT 0.29WentgesElias Sierra-Cappelletti: 126 passningar, xT -0.13Sierra-CappellettiRobert Klaasen: 91 passningar, xT 0.2KlaasenStan Van Dessel: 81 passningar, xT 0.15Dessel

    The teams in numbers

    PerformanceTOP OssMVV Maastricht
    Points613
    xPoints10.18.3
    xG per match1.31.2
    xGA per match1.71.2
    xG within 8s of winning the ball0.20.17
    xGA within 8s of losing the ball0.20.13
    Playing styleTOP OssMVV Maastricht
    Build-up efficiency0.310.3
    Field tilt0.310.54
    xT per match10.91
    xTA per match1.60.87
    Won balls, offensive half2226
    Pressing intensity0.240.23
    Pressing efficiency0.260.34
    Pressing efficiency, offensive half0.230.29
    Entries into the box per match118
    Entries into the box against1914
    Pass completion %0.660.75
    Pass completion % under pressure0.60.72
    Passes per match226358
    Passes against per match446341
    Switches of play per match24.429.8
    Long balls per match4140
    Set piecesTOP OssMVV Maastricht
    xG from free kicks0.040.02
    Corners per match4.33.3
    Corners against per match75
    xG per corner0.020.01
    xGA per corner against0.040.03
    First touch, offensive corners %0.330.1
    First touch, defensive corners %0.650.33
    OtherTOP OssMVV Maastricht
    Throw-in control0.70.72
    The goalkeepersMike Havekotte (TOP Oss)Hugo Wentges (MVV Maastricht)
    Saves2610
    Save %72%50%
    xG prevented45%35%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins TOP Oss vs MVV Maastricht according to our model?

    The model gives MVV Maastricht a 39% win probability. Full 1X2 picture: TOP Oss 33%, draw 28%, MVV Maastricht 39%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 47% and under at 53%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.