Eerste Divisie10°12,3 mm27 km/h

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    TOP OssTOP OssLow block & direct
    vs
    Helmond SportHelmond SportLow block & direct
    The model's lean: 1 · TOP Oss (39%)Best value by the model: Under 0,5 @ 17.00 (+21 %)

    TOP Oss vs Helmond Sport · Eerste Divisie

    1 · TOP Oss 39%X 27%34% Helmond Sport · 2

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    Analysis: TOP Oss – Helmond Sport

    Sofia Andersson · · The model's read on the match · How the predictions work

    The model leans towards TOP Oss, with a slight 39% edge, hinting at a tight contest against Helmond Sport, who have a 34% chance of taking the win. The expected goals are almost level, TOP Oss at 1.34 and Helmond Sport at 1.35, pointing to a balanced encounter. Despite Helmond's historical edge in head-to-head meetings, winning 2 of the last 6, the form and metrics suggest a closer battle this time.

    With both teams showcasing a low defence and direct playing style, the weather could play a crucial role in suppressing goals. The expected 12.3 mm of rain may dampen attacking efforts, aligning with a 50% probability of over 2.5 goals and a 55% chance of both teams scoring. The close xPoints race — 13.4 for the hosts versus 13.2 for the visitors — suggests the margins could be thin.

    TOP Oss show slight superiority in certain metrics, such as xG within 8 seconds of winning the ball (0.18 vs Helmond's 0.17), and xGA per match, both at 1.6, but with better defensive efficiency in high-pressure phases. This adds a layer of intrigue to the encounter, as Helmond's xG per match edges theirs slightly at 1.3 compared to 1.2.

    The most probable scoreline is 1-1, at 13%, with equally likely outcomes of 0-1 and 1-0 at 9% each. This highlights the unpredictability of the match, emphasizing a slight nod towards a draw or a narrow win either way. Bettors might find value in backing the under 0.5 goals market, with odds of 17.0 at Betsafe and Nordicbet offering a 21% edge. Additionally, the under 2.5 goals at odds of 2.18 with Betsafe offers a solid 8% edge based on model calculations.

    TOP OssTOP Oss
    Form LLWLW
    League ranking xG #16xGA #11xT #16xP/match #5Points #16
    Key players
    • Franslyn NsingiFxG 0.39 · xT 0.02
    • Delano VianelloCBxG 0.05 · xT 0.14
    • Mauresmo Johannes Jacob Danny Silvinho HinokeLWxG 0.21 · xT 0.13
    Helmond SportHelmond Sport
    Form WWLLD
    League ranking xG #15xGA #12xT #19xP/match #8Points #15
    Key players
    • Livio CiceroFxG 0.29 · xT 0.19
    • Mauro LenaertsFxG 0.63 · xT 0.02
    • Xander Jan Van der VeldeLWxG 0.03 · xT 0.09

    Match prediction: TOP Oss – Helmond Sport

    Predicted score matrix

    Helmond Sport →
    TOP Oss →
    0
    1
    2
    3
    4+
    0
    0–07.1%
    0–18.8%
    0–26.2%
    0–32.8%
    0–4+1.3%
    1
    1–08.7%
    1–112.6%
    1–28.3%
    1–33.7%
    1–4+1.7%
    2
    2–06.1%
    2–18.2%
    2–25.6%
    2–32.5%
    2–4+1.1%
    3
    3–02.7%
    3–13.7%
    3–22.5%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.2%
    4+–11.6%
    4+–21.1%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-19%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.2-18%
    Expected goals
    1,34–1,35
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.18EV+8%
    Over 2,550%
    @1.65

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance TOP Oss or draw (1X)63%
    • Under 3.5 goals72%

    Combined probability

    45%

    Fair odds

    2.20

    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)63%
    • Over 2.5 goals50%
    • Franslyn Nsingi to score27%

    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 score55%
    • Over 2.5 goals50%
    • Franslyn Nsingi to score27%
    • Michel-Simon Ludwig 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

    The model's value spots

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

    • Under 0.57% probability@17.00BetsafeEV+21%reference odds
    • Under 0.57% probability@17.00NordicbetEV+21%reference odds
    • Under 2.550% probability@2.18BetsafeEV+8%reference odds
    Bookmaker1 · TOP OssX2 · Helmond Sport
    Betsafe2.123.45
    EV+ 3%
    3.05
    LeoVegas2.083.50
    EV+ 7%
    3.15
    Nordicbet2.123.45
    EV+ 3%
    3.05

    Odds updated 4 Oct, 15:36

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 3 October — the odds have shortened from 1.73 to 1.61 (−6%).

    1-5 %
    45 %40 %

    2.20 → 2.08

    X+1 %
    29 %24 %

    3.45 → 3.50

    2+9 %
    33 %28 %

    2.90 → 3.15

    Over 2,5-6 %
    58 %53 %

    1.73 → 1.61

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

    Statistics

    Head-to-head

    6 matches
    TOP Oss 1Draw 3Helmond Sport 2
    Goals: 4–7 (⌀ 1,8)

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

    Key facts

    • Helmond Sport dominate this fixture historically: 2 wins to 1 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    TOP Oss
    Helmond Sport
    When goals are scored and conceded — 2026
    TOP Oss (12–14)
    Helmond Sport (15–16)
    Pass networks

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

    TOP Oss
    Delano Vianello: 183 passningar, xT 0.38VianelloMike Havekotte: 159 passningar, xT 0.39HavekotteIlounga Isea Pata: 136 passningar, xT 0.76PataJulian Kuijpers: 109 passningar, xT 0.89KuijpersLeonel Miquel Francisco Miguel: 80 passningar, xT 0.18MiguelRichard Johannes Cornelis van der Venne: 74 passningar, xT 0.24VenneJustin Mathieu: 63 passningar, xT 0.19MathieuMarcelencio Esajas: 59 passningar, xT 0.18EsajasMauresmo Johannes Jacob Danny Silvinho Hinoke: 47 passningar, xT 0.24HinokeFranslyn Nsingi: 32 passningar, xT 0.07NsingiLars Mol: 31 passningar, xT 0.07Mol
    Helmond Sport
    Tijn Landheer: 227 passningar, xT 0.1LandheerBrian Koglin: 227 passningar, xT 0.42KoglinMichel Ludwig: 206 passningar, xT 0.27LudwigThomas Poll: 188 passningar, xT 0.58PollXander Jan Van der Velde: 175 passningar, xT 0.37VeldeSem Dekkers: 152 passningar, xT 1.54DekkersMenno Bergsen: 149 passningar, xT 0.13BergsenJoep van der Sluijs: 103 passningar, xT 0.17SluijsPol Llonch: 79 passningar, xT 0.11LlonchLivio Cicero: 72 passningar, xT 0.39CiceroTarik Essakkati: 44 passningar, xT 0.2Essakkati
    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: 183 passningar, xT 0.38VianelloMike Havekotte: 159 passningar, xT 0.39HavekotteIlounga Isea Pata: 136 passningar, xT 0.76PataJulian Kuijpers: 109 passningar, xT 0.89KuijpersLeonel Miquel Francisco Miguel: 80 passningar, xT 0.18MiguelRichard Johannes Cornelis van der Venne: 74 passningar, xT 0.24VenneJustin Mathieu: 63 passningar, xT 0.19MathieuMarcelencio Esajas: 59 passningar, xT 0.18EsajasMauresmo Johannes Jacob Danny Silvinho Hinoke: 47 passningar, xT 0.24HinokeFranslyn Nsingi: 32 passningar, xT 0.07NsingiLars Mol: 31 passningar, xT 0.07Mol
    Helmond Sport
    Tijn Landheer: 227 passningar, xT 0.1LandheerBrian Koglin: 227 passningar, xT 0.42KoglinMichel Ludwig: 206 passningar, xT 0.27LudwigThomas Poll: 188 passningar, xT 0.58PollXander Jan Van der Velde: 175 passningar, xT 0.37VeldeSem Dekkers: 152 passningar, xT 1.54DekkersMenno Bergsen: 149 passningar, xT 0.13BergsenJoep van der Sluijs: 103 passningar, xT 0.17SluijsPol Llonch: 79 passningar, xT 0.11LlonchLivio Cicero: 72 passningar, xT 0.39CiceroTarik Essakkati: 44 passningar, xT 0.2Essakkati

    The teams in numbers

    PerformanceTOP OssHelmond Sport
    Points99
    xPoints13.413.2
    xG per match1.21.3
    xGA per match1.61.6
    xG within 8s of winning the ball0.180.17
    xGA within 8s of losing the ball0.20.24
    Playing styleTOP OssHelmond Sport
    Build-up efficiency0.310.29
    Field tilt0.310.37
    xT per match0.980.93
    xTA per match1.51.3
    Won balls, offensive half2221
    Pressing intensity0.240.24
    Pressing efficiency0.250.27
    Pressing efficiency, offensive half0.230.22
    Entries into the box per match1111
    Entries into the box against1818
    Pass completion %0.650.75
    Pass completion % under pressure0.590.66
    Passes per match223308
    Passes against per match458413
    Switches of play per match23.825.1
    Long balls per match4133
    Set piecesTOP OssHelmond Sport
    xG from free kicks0.070.03
    Corners per match4.13.6
    Corners against per match7.56.3
    xG per corner0.020.01
    xGA per corner against0.040.04
    First touch, offensive corners %0.30.34
    First touch, defensive corners %0.670.37
    OtherTOP OssHelmond Sport
    Throw-in control0.70.72
    The goalkeepersMike Havekotte (TOP Oss)Menno Bergsen (Helmond Sport)
    Saves3642
    Save %75%74%
    xG prevented53%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins TOP Oss vs Helmond Sport according to our model?

    The model gives TOP Oss a 39% win probability. Full 1X2 picture: TOP Oss 39%, draw 27%, Helmond Sport 34%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.