Eerste Divisie18°14,7 mm30 km/h

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    TOP OssTOP OssLow block & direct
    21
    Jong UtrechtJong UtrechtPossession control
    The model's lean: 1 · TOP Oss (39%)Best value by the model: 2 · Jong Utrecht @ 3.05 (+7 %)

    TOP OssJong Utrecht · Eerste Divisie

    1 · TOP Oss 39%X 26%35% Jong Utrecht · 2

    Analysis: TOP OssJong Utrecht

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Two teams with identical recent form make for a potentially intriguing clash as TOP Oss host Jong Utrecht, both coming off three consecutive losses. The hosts lean toward a direct style with a vulnerable defense, while the visitors prefer to control possession. This contrast could shape the flow of the game. Despite the differing approaches, both squads have shown a propensity to concede, indicating that goals may not be scarce.

    Model probabilities give a slight edge to TOP Oss at 39% likelihood of winning, with Jong Utrecht close behind at 35%. Although the most likely scoreline sits at 1-1 with a 12% probability, the analysis suggests a competitive match, with 1-2 and 2-1 outcomes also in play. Expected goals figures are nearly neck and neck, yet TOP Oss' home advantage and head-to-head record since 2023—a small sample of four games showing no losses for the hosts—lend credence to their slight favoritism.

    However, Utrecht's potential to upset at odds of 3.15 on Betsafe, Betsson, and Nordicbet represents value, rated at a 35% win chance by the model. This translates to a notable 10% edge and is worth considering for those eyeing a riskier angle. The expected rain could temper the goal output, yet the odds still point toward a game exceeding 2.5 goals 57% of the time, with both teams likely to score.

    In the end, it's the away side that offers the sharpest betting edge, given the market's apparent underestimation of their chances. The reaction to the rain and the play styles will be critical, as will the tactical battle between TOP Oss's direct approach and Utrecht's possession game. Keep an eye on those juicy 3.15 odds with Betsafe, Betsson, and Nordicbet—value like this doesn't always rain down.

    TOP OssTOP Oss
    Form WWLLL
    League ranking xG #11xGA #16xT #13xP/match #9Points #20
    Key players
    • Franslyn NsingiFxG 0.38 · xT 0.05
    • Mauresmo Johannes Jacob Danny Silvinho HinokeLWxG 0.11 · xT 0.14
    • Marcelencio EsajasCMxG 0.00 · xT 0.00
    Jong UtrechtJong Utrecht
    Form DWLLL
    League ranking xG #20xGA #21xT #17xP/match #21Points #21
    Key players
    • Noa DundasFxG 0.24 · xT 0.07
    • Driss LaaouinaCMxG 0.06 · xT 0.16
    • Bjorn MenzoRWxG 0.09 · xT 0.20
    Final score
    21
    The model called the outcome
    Predicted probabilities: TOP Oss 39% · Draw 26% · Jong Utrecht 35%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Jong FC UtrechtBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,05fair 7,96+14 %
    Miss
    Matchresultat - TOP OssBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,32fair 9,05-30 %
    Miss

    Match prediction: TOP OssJong Utrecht

    Predicted score matrix

    Jong Utrecht
    TOP Oss
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–17.5%
    0–26.0%
    0–33.1%
    0–4+1.7%
    1
    1–07.0%
    1–111.6%
    1–28.7%
    1–34.4%
    1–4+2.4%
    2
    2–05.3%
    2–18.1%
    2–26.2%
    2–33.2%
    2–4+1.7%
    3
    3–02.5%
    3–13.9%
    3–23.0%
    3–31.5%
    3–4+0.8%
    4+
    4+–01.3%
    4+–11.9%
    4+–21.5%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,441,54
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.08
    Over 2,557%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance TOP Oss or draw (1X)61%
    • Over 1.5 goals80%

    Combined probability

    48%

    Fair odds

    2.08

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

    02 · 3 legs

    Balanced

    • Double chance TOP Oss or draw (1X)61%
    • Over 2.5 goals57%
    • Tijmen Wildeboer 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 score60%
    • Over 2.5 goals57%
    • Tijmen Wildeboer to score24%
    • Jaygo van Ommeren to be booked24%

    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+).

    • 2 · Jong Utrecht35% probability@3.05BetsafeEV+7%reference odds
    • 2 · Jong Utrecht35% probability@3.05BetssonEV+7%reference odds
    • 2 · Jong Utrecht35% probability@3.05NordicbetEV+7%reference odds
    Bookmaker1 · TOP OssX2 · Jong Utrecht
    Betsafe2.153.40
    EV+ 7%
    3.05
    Betsson2.153.40
    EV+ 7%
    3.05
    Nordicbet2.153.40
    EV+ 7%
    3.05

    Odds updated 28 Aug, 11:38

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 24 August — the odds have shortened from 2.42 to 2.08 (−14%).

    1+5 %
    50 %40 %

    2.052.15

    X-6 %
    31 %21 %

    3.603.40

    20 %
    34 %24 %

    3.053.05

    Over 2,5+12 %
    63 %53 %

    1.521.70

    Betsson · 20 recorded price levels · 24/08/2026 → 28/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    TOP Oss 1Draw 3Jong Utrecht 0
    Goals: 53 (⌀ 2)

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

    Key facts

    • TOP Oss have lost 3 in a row.
    • Utrecht U21 have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    TOP Oss
    Jong Utrecht
    When goals are scored and conceded 2026
    TOP Oss (16)
    Jong Utrecht (311)
    Pass networks

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

    TOP Oss
    Delano Vianello: 102 passningar, xT 0.61VianelloIlounga Isea Pata: 66 passningar, xT 0.54PataMike Havekotte: 65 passningar, xT 0.11HavekotteMarcelencio Esajas: 63 passningar, xT 0.02EsajasJulian Kuijpers: 62 passningar, xT 0.08KuijpersLeonel Miquel Francisco Miguel: 48 passningar, xT 0.06MiguelMauresmo Johannes Jacob Danny Silvinho Hinoke: 42 passningar, xT 0.35HinokeRichard Johannes Cornelis van der Venne: 33 passningar, xT 0.04VenneMaurilio de Lannoy: 28 passningar, xT 0.47LannoyMilo Horemans: 22 passningar, xT -0.01HoremansJafar Howard Bynoe: 19 passningar, xT -0.06Bynoe
    Jong Utrecht
    Jamie Schuldes: 103 passningar, xT 0.33SchuldesDriss Laaouina: 103 passningar, xT 0.47LaaouinaPer Kloosterboer: 94 passningar, xT 0.09KloosterboerViggo Plantinga: 88 passningar, xT 0PlantingaBjorn Menzo: 75 passningar, xT 0.56MenzoMassien Ghaddari: 74 passningar, xT 0.26GhaddariMees Eppink: 64 passningar, xT 0.24EppinkJessey Sneijder: 28 passningar, xT 0.18SneijderTijn den Boggende: 26 passningar, xT -0.09BoggendeChukwuemeka Adiele: 20 passningar, xT 0.4AdieleEmmanuel Chigozie Owen: 15 passningar, xT 0.13Owen
    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: 102 passningar, xT 0.61VianelloIlounga Isea Pata: 66 passningar, xT 0.54PataMike Havekotte: 65 passningar, xT 0.11HavekotteMarcelencio Esajas: 63 passningar, xT 0.02EsajasJulian Kuijpers: 62 passningar, xT 0.08KuijpersLeonel Miquel Francisco Miguel: 48 passningar, xT 0.06MiguelMauresmo Johannes Jacob Danny Silvinho Hinoke: 42 passningar, xT 0.35HinokeRichard Johannes Cornelis van der Venne: 33 passningar, xT 0.04VenneMaurilio de Lannoy: 28 passningar, xT 0.47LannoyMilo Horemans: 22 passningar, xT -0.01HoremansJafar Howard Bynoe: 19 passningar, xT -0.06Bynoe
    Jong Utrecht
    Jamie Schuldes: 103 passningar, xT 0.33SchuldesDriss Laaouina: 103 passningar, xT 0.47LaaouinaPer Kloosterboer: 94 passningar, xT 0.09KloosterboerViggo Plantinga: 88 passningar, xT 0PlantingaBjorn Menzo: 75 passningar, xT 0.56MenzoMassien Ghaddari: 74 passningar, xT 0.26GhaddariMees Eppink: 64 passningar, xT 0.24EppinkJessey Sneijder: 28 passningar, xT 0.18SneijderTijn den Boggende: 26 passningar, xT -0.09BoggendeChukwuemeka Adiele: 20 passningar, xT 0.4AdieleEmmanuel Chigozie Owen: 15 passningar, xT 0.13Owen

    The teams in numbers

    PerformanceTOP OssJong Utrecht
    Points00
    xPoints4.32.5
    xG per match1.30.93
    xGA per match1.82.3
    xG within 8s of winning the ball0.250.16
    xGA within 8s of losing the ball0.210.49
    Playing styleTOP OssJong Utrecht
    Build-up efficiency0.310.28
    Field tilt0.290.31
    xT per match1.10.96
    xTA per match1.91.7
    Won balls, offensive half2520
    Pressing intensity0.260.24
    Pressing efficiency0.240.24
    Pressing efficiency, offensive half0.230.25
    Entries into the box per match1410
    Entries into the box against2016
    Pass completion %0.630.69
    Pass completion % under pressure0.550.63
    Passes per match213253
    Passes against per match495406
    Switches of play per match22.923.6
    Long balls per match4134
    Set piecesTOP OssJong Utrecht
    xG from free kicks0.080.03
    Corners per match6.13.3
    Corners against per match7.14.3
    xG per corner0.030.05
    xGA per corner against0.050.01
    First touch, offensive corners %0.390.7
    First touch, defensive corners %0.480.69
    OtherTOP OssJong Utrecht
    Throw-in control0.740.63
    The goalkeepersMike Havekotte (TOP Oss)Mees Eppink (Jong Utrecht)
    Saves118
    Save %65%50%
    xG prevented45%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins TOP Oss vs Jong Utrecht according to our model?

    The model gives TOP Oss a 39% win probability. Full 1X2 picture: TOP Oss 39%, draw 26%, Jong Utrecht 35%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.