Eerste Divisie10°10,8 mm28 km/h

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    De GraafschapDe GraafschapPossession control
    vs
    Jong UtrechtJong UtrechtPossession control
    The model's lean: 1 · De Graafschap (51%)Best value by the model: Under 2,5 @ 3.35 (+20 %)

    De Graafschap vs Jong Utrecht · Eerste Divisie

    1 · De Graafschap 51%X 24%25% Jong Utrecht · 2

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    Analysis: De Graafschap – Jong Utrecht

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

    De Graafschap's reliable home form is at the forefront, with a 60% win rate on their own turf over their recent history. This match against Jong Utrecht, despite both teams sharing a possession-focused style, leans toward the hosts. The model gives De Graafschap a 51% chance of victory, indicating a slight edge, especially given their unbeaten run in the small sample of four head-to-head meetings since 2023.

    The goals market is intriguing but deceptive. With a 64% model prediction for over 2.5 goals, the market skews towards a more open game. Yet the most likely scoreline predictions, 1-1 and 2-1, suggest a tighter contest. The expected goals figures, De Graafschap's 1.99 against Utrecht U21’s 1.31, point to a match where a narrow home victory is well within reach but not a high-scoring affair.

    Points and xPoints show a slight advantage for De Graafschap, illustrating their marginal superiority in the league. However, the visitors’ edge in generating xG within 8 seconds of winning the ball hints at their threat on transitions. Still, in a game likely to be defined by controlled possession rather than quick counters, this might have limited impact.

    The sharpest angle lies in the value offered on the goal line. Despite the odds favoring a high-scoring game, the under 3.5 market at 2.0 with LeoVegas presents a strong value play, harnessing a 16% edge based on the model's calculations. For those more risk-averse, even the under 4.5 at 1.444 holds a 10% edge, aligning with a cautious approach in a game that might not meet goal-heavy expectations.

    De GraafschapDe Graafschap
    Form LWLWD
    League ranking xG #17xGA #20xT #14xP/match #19Points #19
    Key players
    • Joran HardemanCBxG 0.16 · xT 0.12
    • Rowan BesselinkCBxG 0.04 · xT 0.06
    • Donny WarmerdamCDMxG 0.14 · xT 0.06
    Jong UtrechtJong Utrecht
    Form LDWWL
    League ranking xG #18xGA #19xT #18xP/match #20Points #20
    Key players
    • Noa DundasFxG 0.20 · xT 0.04
    • Wessel KooyCBxG 0.11 · xT 0.04
    • Bjorn MenzoRWxG 0.15 · xT 0.23

    Match prediction: De Graafschap – Jong Utrecht

    Predicted score matrix

    Jong Utrecht →
    De Graafschap →
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–14.5%
    0–23.2%
    0–31.4%
    0–4+0.6%
    1
    1–07.0%
    1–19.9%
    1–26.3%
    1–32.8%
    1–4+1.2%
    2
    2–07.3%
    2–19.6%
    2–26.3%
    2–32.8%
    2–4+1.2%
    3
    3–04.8%
    3–16.3%
    3–24.2%
    3–31.8%
    3–4+0.8%
    4+
    4+–03.8%
    4+–15.0%
    4+–23.3%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-07%
    4. 4.1-07%
    5. 5.3-16%
    Expected goals
    1,99–1,31
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @3.35EV+20%
    Over 2,564%
    @1.32

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • De Graafschap to win51%
    • Over 1.5 goals84%

    Combined probability

    46%

    Fair odds

    2.19

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

    02 · 3 legs

    Balanced

    • De Graafschap to win51%
    • Over 2.5 goals64%
    • Julian Kania 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 score63%
    • Over 2.5 goals64%
    • Julian Kania to score32%
    • Jason Meerstadt to be booked22%

    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 2.536% probability@3.35BetsafeEV+20%reference odds
    • Under 2.536% probability@3.35NordicbetEV+20%reference odds
    • Under 3.558% probability@2.02BetsafeEV+17%reference odds
    Bookmaker1 · De GraafschapX2 · Jong Utrecht
    Betsafe1.60
    EV+ 5%
    4.30
    EV+ 10%
    4.40
    LeoVegas1.61
    EV+ 10%
    4.50
    EV+ 0%
    4.00
    Nordicbet1.60
    EV+ 5%
    4.30
    EV+ 10%
    4.40

    Odds updated 4 Oct, 19:36

    Odds movement

    10 %
    60 %55 %

    1.61 → 1.61

    X+2 %
    23 %18 %

    4.40 → 4.50

    2-2 %
    25 %20 %

    4.10 → 4.00

    Over 2,5+2 %
    73 %68 %

    1.30 → 1.32

    LeoVegas · 4 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    De Graafschap 2Draw 2Jong Utrecht 0
    Goals: 7–5 (⌀ 3)

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

    Key facts

    • De Graafschap win 60% of their home matches all-time (42 played).
    xG & xGA per match — 3-game rolling average

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

    De Graafschap
    Jong Utrecht
    When goals are scored and conceded — 2026
    De Graafschap (11–22)
    Jong Utrecht (15–21)
    Pass networks

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

    De Graafschap
    Rowan Besselink: 233 passningar, xT 0.28BesselinkDonny Warmerdam: 188 passningar, xT 0.14WarmerdamTies Wieggers: 173 passningar, xT 0.19WieggersGijs Bolk: 171 passningar, xT 0.29BolkNolan Martens: 153 passningar, xT 0.83MartensKaya Symons: 135 passningar, xT 0.6SymonsThomas Petrus Johannes Kok: 135 passningar, xT 0.03KokFedde de Jong: 80 passningar, xT 0.54JongMark Diemers: 76 passningar, xT 0.15DiemersJannes Luca Wieckhoff: 68 passningar, xT 0.23WieckhoffToivo Mero: 51 passningar, xT 0.43Mero
    Jong Utrecht
    Jamie Schuldes: 190 passningar, xT 0.42SchuldesWessel Kooy: 189 passningar, xT 0.27KooyViggo Plantinga: 153 passningar, xT 0.12PlantingaPer Kloosterboer: 136 passningar, xT 0.13KloosterboerYousri Sbai: 125 passningar, xT 0.39SbaiDriss Laaouina: 106 passningar, xT 0.35LaaouinaBjorn Menzo: 86 passningar, xT 0.77MenzoMassien Ghaddari: 80 passningar, xT 0.44GhaddariKevin Gadellaa: 73 passningar, xT 0.07GadellaaMees Eppink: 59 passningar, xT 0.16EppinkFerdinand Pohl: 54 passningar, xT 0.1Pohl
    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.

    De Graafschap
    Rowan Besselink: 233 passningar, xT 0.28BesselinkDonny Warmerdam: 188 passningar, xT 0.14WarmerdamTies Wieggers: 173 passningar, xT 0.19WieggersGijs Bolk: 171 passningar, xT 0.29BolkNolan Martens: 153 passningar, xT 0.83MartensKaya Symons: 135 passningar, xT 0.6SymonsThomas Petrus Johannes Kok: 135 passningar, xT 0.03KokFedde de Jong: 80 passningar, xT 0.54JongMark Diemers: 76 passningar, xT 0.15DiemersJannes Luca Wieckhoff: 68 passningar, xT 0.23WieckhoffToivo Mero: 51 passningar, xT 0.43Mero
    Jong Utrecht
    Jamie Schuldes: 190 passningar, xT 0.42SchuldesWessel Kooy: 189 passningar, xT 0.27KooyViggo Plantinga: 153 passningar, xT 0.12PlantingaPer Kloosterboer: 136 passningar, xT 0.13KloosterboerYousri Sbai: 125 passningar, xT 0.39SbaiDriss Laaouina: 106 passningar, xT 0.35LaaouinaBjorn Menzo: 86 passningar, xT 0.77MenzoMassien Ghaddari: 80 passningar, xT 0.44GhaddariKevin Gadellaa: 73 passningar, xT 0.07GadellaaMees Eppink: 59 passningar, xT 0.16EppinkFerdinand Pohl: 54 passningar, xT 0.1Pohl

    The teams in numbers

    PerformanceDe GraafschapJong Utrecht
    Points87
    xPoints9.69.5
    xG per match1.21.2
    xGA per match1.91.9
    xG within 8s of winning the ball0.180.2
    xGA within 8s of losing the ball0.170.41
    Playing styleDe GraafschapJong Utrecht
    Build-up efficiency0.320.28
    Field tilt0.460.38
    xT per match1.10.94
    xTA per match1.41.4
    Won balls, offensive half2425
    Pressing intensity0.230.24
    Pressing efficiency0.340.26
    Pressing efficiency, offensive half0.30.26
    Entries into the box per match1212
    Entries into the box against1518
    Pass completion %0.750.7
    Pass completion % under pressure0.680.65
    Passes per match358285
    Passes against per match300362
    Switches of play per match34.423.3
    Long balls per match4332
    Set piecesDe GraafschapJong Utrecht
    xG from free kicks0.060.04
    Corners per match4.44.5
    Corners against per match6.55.6
    xG per corner0.020.05
    xGA per corner against0.030.01
    First touch, offensive corners %0.650.4
    First touch, defensive corners %0.660.55
    OtherDe GraafschapJong Utrecht
    Throw-in control0.750.76
    The goalkeepersTies Wieggers (De Graafschap)Kevin Gadellaa (Jong Utrecht)
    Saves3420
    Save %61%67%
    xG prevented35%56%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins De Graafschap vs Jong Utrecht according to our model?

    The model gives De Graafschap a 51% win probability. Full 1X2 picture: De Graafschap 51%, draw 24%, Jong Utrecht 25%.

    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 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.