Croatian HNL17°6 km/h

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    RudešRudešPossession control
    22
    Slaven BelupoSlaven BelupoLow block & direct
    The model's lean: 2 · Slaven Belupo (43%)Best value by the model: Under 2,5 @ 1.99 (+11 %)

    Rudeš vs Slaven Belupo · Croatian HNL

    1 · Rudeš 29%X 28%43% Slaven Belupo · 2

    Analysis: RudešSlaven Belupo

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

    TEXT: Slaven Belupo holds the upper hand as they travel to face Rudeš, which is reflected in the model probabilities favoring the visitors at 43%. With Rudeš riding a three-game losing streak, the momentum is decidedly against them. Their inclination towards possession control has yet to translate into actual results, struggling with an xG of just 0.62 per match. Meanwhile, Slaven's low defensive block and direct play have proven more effective, accumulating 6 points and a slightly better xG of 0.77.

    The expected goals for both sides indicate a tight contest, with Slaven edging it at 1.34 to Rudeš's 1.10. Despite the statistical lean, the most likely scorelines suggest a narrow margin, highlighting a potential 1-1 draw at 13% or a slender 0-1 victory for the visitors at 11%. The over 2.5 goals chance sits at 44%, hinting that a low-scoring affair is possible, especially given both teams' defensive vulnerabilities.

    A small head-to-head sample means we should weigh current form more heavily, where Slaven's comparative stability stands out. Rudeš's defensive frailties are pronounced, conceding an xGA of 2.2 per match. This presents an opportunity for Slaven's counterattacking style to exploit gaps, though their own xGA of 1.9 suggests they're not impervious either.

    For bettors, there's clear value in backing a low-scoring outcome. With the model rating under 1.5 goals at 30%, and bookmakers like Betsafe, Betsson, and Nordicbet offering odds of 3.6, a 7% edge is on the table. The numbers point to a cautious match where defenses might just have the final say.

    RudešRudeš
    Form LWLLL
    League ranking xG #10xGA #10xT #10xP/match #10Points #9
    Key players
    • Cherno SahoFxG 0.12 · xT -0.01
    • Jurica PoldrugačLWxG 0.07 · xT 0.10
    • Vedran CeljakCBxG 0.02 · xT 0.13
    Slaven BelupoSlaven Belupo
    Form LWLWL
    League ranking xG #9xGA #9xT #8xP/match #9Points #8
    Key players
    • Ljuban CrepuljaCMxG 0.01 · xT 0.06
    • Alen GrgićRBxG 0.03 · xT 0.22
    • Josip MitrovićLWxG 0.12 · xT 0.10
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Rudeš 29% · Draw 28% · Slaven Belupo 43%

    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 - NK Rudes ZagrebBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,92fair 16,46-34 %
    Miss
    Matchresultat - Slaven BelupoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,22fair 11,11-44 %
    Miss

    Match prediction: RudešSlaven Belupo

    Predicted score matrix

    Slaven Belupo
    Rudeš
    0
    1
    2
    3
    4+
    0
    0–09.1%
    0–111.3%
    0–27.9%
    0–33.5%
    0–4+1.6%
    1
    1–09.2%
    1–113.2%
    1–28.6%
    1–33.9%
    1–4+1.7%
    2
    2–05.3%
    2–17.0%
    2–24.7%
    2–32.1%
    2–4+1.0%
    3
    3–01.9%
    3–12.6%
    3–21.7%
    3–30.8%
    3–4+0.3%
    4+
    4+–00.7%
    4+–10.9%
    4+–20.6%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-09%
    4. 4.0-09%
    5. 5.1-29%
    Expected goals
    1,101,34
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.99EV+6%
    Over 2,544%
    @1.83

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Slaven Belupo or draw (X2)70%
    • Under 3.5 goals77%

    Combined probability

    54%

    Fair odds

    1.86

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

    02 · 3 legs

    Balanced

    • Double chance Slaven Belupo or draw (X2)70%
    • Under 2.5 goals56%
    • Josip Mitrović to score18%

    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 score50%
    • Over 2.5 goals44%
    • Josip Mitrović to score18%
    • Vedran Celjak 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 2.556% probability@1.99PinnacleEV+11%reference odds
    • Under 1.530% probability@3.60BetsafeEV+7%reference odds
    • Under 1.530% probability@3.60BetssonEV+7%reference odds
    Bookmaker1 · RudešX2 · Slaven Belupo
    Betsafe3.453.401.98
    Betsson3.453.401.98
    Nordicbet3.453.401.98
    Pinnacle3.46
    EV+ 2%
    3.61
    2.05

    Odds updated 18 Sept, 11:37

    Odds movement

    1-5 %
    28 %23 %

    3.663.46

    X-1 %
    28 %23 %

    3.633.61

    2+7 %
    51 %46 %

    1.912.05

    Over 2,5+4 %
    55 %50 %

    1.761.83

    Pinnacle · 11 recorded price levels · 14/09/2026 → 18/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • NK Rudes have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Rudeš
    Slaven Belupo
    When goals are scored and conceded 2026
    Rudeš (822)
    Slaven Belupo (514)
    Pass networks

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

    Rudeš
    Marko Stolnik: 152 passningar, xT 0.08StolnikVedran Celjak: 152 passningar, xT 0.44CeljakXavier Cabrita Fernandes: 141 passningar, xT 0.46FernandesNoa Skoko: 131 passningar, xT 0.26SkokoIvan Đorić: 131 passningar, xT 0.05ĐorićBruno Unusic: 121 passningar, xT 0.24UnusicLovre Rogić: 91 passningar, xT 0.08RogićToni Kolega: 87 passningar, xT 0.06KolegaJurica Poldrugač: 65 passningar, xT 0.54PoldrugačAnte Sušak: 55 passningar, xT 0.23SušakFilip Taraba: 54 passningar, xT 0.12Taraba
    Slaven Belupo
    Dominik Kovačić: 124 passningar, xT 0.19KovačićJosip Mitrović: 92 passningar, xT 0.6MitrovićKarlo Sentić: 87 passningar, xT 0.09SentićLjuban Crepulja: 86 passningar, xT 0.14CrepuljaKarlo Isasegi: 82 passningar, xT 0.15IsasegiIlija Nestorovski: 70 passningar, xT 0.05NestorovskiAdetunji Rasaq Adeshina: 68 passningar, xT 0.12AdeshinaAlen Grgić: 67 passningar, xT 0.68GrgićFilip Krušelj: 67 passningar, xT 0.38KrušeljIvan Cvetko: 65 passningar, xT 0.06CvetkoMarko Dabro: 59 passningar, xT 0.16Dabro
    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.

    Rudeš
    Marko Stolnik: 152 passningar, xT 0.08StolnikVedran Celjak: 152 passningar, xT 0.44CeljakXavier Cabrita Fernandes: 141 passningar, xT 0.46FernandesNoa Skoko: 131 passningar, xT 0.26SkokoIvan Đorić: 131 passningar, xT 0.05ĐorićBruno Unusic: 121 passningar, xT 0.24UnusicLovre Rogić: 91 passningar, xT 0.08RogićToni Kolega: 87 passningar, xT 0.06KolegaJurica Poldrugač: 65 passningar, xT 0.54PoldrugačAnte Sušak: 55 passningar, xT 0.23SušakFilip Taraba: 54 passningar, xT 0.12Taraba
    Slaven Belupo
    Dominik Kovačić: 124 passningar, xT 0.19KovačićJosip Mitrović: 92 passningar, xT 0.6MitrovićKarlo Sentić: 87 passningar, xT 0.09SentićLjuban Crepulja: 86 passningar, xT 0.14CrepuljaKarlo Isasegi: 82 passningar, xT 0.15IsasegiIlija Nestorovski: 70 passningar, xT 0.05NestorovskiAdetunji Rasaq Adeshina: 68 passningar, xT 0.12AdeshinaAlen Grgić: 67 passningar, xT 0.68GrgićFilip Krušelj: 67 passningar, xT 0.38KrušeljIvan Cvetko: 65 passningar, xT 0.06CvetkoMarko Dabro: 59 passningar, xT 0.16Dabro

    The teams in numbers

    PerformanceRudešSlaven Belupo
    Points36
    xPoints4.66.6
    xG per match0.620.77
    xGA per match2.21.9
    xG within 8s of winning the ball0.060.07
    xGA within 8s of losing the ball0.350.18
    Playing styleRudešSlaven Belupo
    Build-up efficiency0.270.29
    Field tilt0.350.36
    xT per match0.620.73
    xTA per match1.31.3
    Won balls, offensive half1922
    Pressing intensity0.240.25
    Pressing efficiency0.260.26
    Pressing efficiency, offensive half0.210.22
    Entries into the box per match78
    Entries into the box against1416
    Pass completion %0.720.69
    Pass completion % under pressure0.660.65
    Passes per match275253
    Passes against per match414418
    Switches of play per match22.418.8
    Long balls per match2930
    Set piecesRudešSlaven Belupo
    xG from free kicks0.110.03
    Corners per match33.6
    Corners against per match6.75.2
    xG per corner0.020.05
    xGA per corner against0.030.02
    First touch, offensive corners %0.480.36
    First touch, defensive corners %0.590.53
    OtherRudešSlaven Belupo
    Throw-in control0.610.66
    The goalkeepersLovre Rogić (Rudeš)Karlo Sentić (Slaven Belupo)
    Saves2620
    Save %54%59%
    xG prevented27%41%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rudeš vs Slaven Belupo according to our model?

    The model gives Slaven Belupo a 43% win probability. Full 1X2 picture: Rudeš 29%, draw 28%, Slaven Belupo 43%.

    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 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.