Croatian HNL11°18,3 mm14 km/h

    Läs på svenska
    GoricaGoricaLow block & direct
    vs
    RudešRudešLow block & direct
    The model's lean: 1 · Gorica (50%)Best value by the model: X · Draw @ 3.98 (+19 %)

    Gorica vs Rudeš · Croatian HNL

    1 · Gorica 50%X 30%20% Rudeš · 2

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Gorica – Rudeš

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

    Gorica's clash with Rudeš sets up a tactical battle defined by direct play, with both teams leaning on low defenses. In a contest likely to be determined by who can best exploit their forward thrust, Gorica holds the upper hand. They not only enjoy a points advantage, 5 to Rudeš's 4, but also a superior xPoints tally of 8.6 compared to 5.4. Gorica's expected goals per match at 0.84 surpass Rudeš's 0.63, reflecting their slightly more potent attack. Though neither team is prolific in front of goal, Gorica's edge is clear.

    The numbers tell a consistent story: Gorica is better positioned on both ends of the pitch. Their xGA stands at 1.6, significantly lower than Rudeš's 2.2, highlighting a tighter defense that could be crucial in a game this likely to be decided by fine margins. The model's most probable outcomes—1-0 and 1-1, each at 13%—indicate a close contest, but one that leans towards Gorica's favor based on their overall statistical edge.

    With both teams employing similar tactics, each relying on direct play from deep positions, the likelihood of a high-scoring affair diminishes. The probability of over 2.5 goals sits at just 43%, while the chances of both teams finding the net are at 46%. These numbers align with the expected defensive setups and suggest a tighter contest, likely settled by a solitary goal or two.

    For value-seekers, the model's 50% probability backing Gorica to win might present an opportunity if the odds are favorable. One bookmaker, Bet365, offers Gorica at 2.00, which, given the statistical indicators, could represent positive expected value. As the numbers suggest, Gorica's marginal superiority should see them edge out a victory in a hard-fought match.

    GoricaGorica
    Form LDLDW
    League ranking xG #9xGA #7xT #9xP/match #7Points #9
    Key players
    • Bruno BogojevićLWxG 0.27 · xT 0.09
    • Jakov PranjićFxG 0.11 · xT 0.04
    • Luka VrzićRWxG 0.14 · xT 0.04
    RudešRudeš
    Form WLLLD
    League ranking xG #10xGA #10xT #10xP/match #10Points #10
    Key players
    • Cherno SahoFxG 0.12 · xT 0.00
    • Jurica PoldrugačLWxG 0.07 · xT 0.10
    • Vedran CeljakCBxG 0.02 · xT 0.12

    Match prediction: Gorica – Rudeš

    Predicted score matrix

    Rudeš →
    Gorica →
    0
    1
    2
    3
    4+
    0
    0–09.5%
    0–17.9%
    0–23.7%
    0–31.1%
    0–4+0.3%
    1
    1–013.3%
    1–112.6%
    1–25.5%
    1–31.6%
    1–4+0.4%
    2
    2–010.2%
    2–19.2%
    2–24.1%
    2–31.2%
    2–4+0.3%
    3
    3–05.1%
    3–14.6%
    3–22.0%
    3–30.6%
    3–4+0.2%
    4+
    4+–02.6%
    4+–12.4%
    4+–21.1%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-113%
    3. 3.2-010%
    4. 4.0-010%
    5. 5.2-19%
    Expected goals
    1,49–0,90
    Both teams to score
    46%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.99EV+13%
    Over 2,543%
    @1.79

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Gorica to win50%
    • Under 3.5 goals78%

    Combined probability

    38%

    Fair odds

    2.64

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

    02 · 3 legs

    Balanced

    • Gorica to win50%
    • Under 2.5 goals57%
    • Fran Brodić to score31%

    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 score46%
    • Over 2.5 goals43%
    • Fran Brodić to score31%
    • Noa Skoko 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+).

    • X · Draw30% probability@3.98PinnacleEV+19%reference odds
    • X · Draw30% probability@3.85BetsafeEV+16%reference odds
    • X · Draw30% probability@3.85NordicbetEV+16%reference odds
    Bookmaker1 · GoricaX2 · Rudeš
    Betsafe1.55
    EV+ 16%
    3.85
    EV+ 2%
    5.10
    Nordicbet1.55
    EV+ 16%
    3.85
    EV+ 2%
    5.10
    Pinnacle1.57
    EV+ 19%
    3.98
    EV+ 5%
    5.25

    Odds updated 3 Oct, 07:03

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Gorica
    Rudeš
    When goals are scored and conceded — 2026
    Gorica (5–12)
    Rudeš (10–24)
    Pass networks

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

    Gorica
    Jakov Filipović: 161 passningar, xT 0.32FilipovićDušan Stevanović: 152 passningar, xT 0.18StevanovićStefan Perić: 129 passningar, xT 0.2PerićFilip Braut: 121 passningar, xT 0.35BrautRenato Josipović: 118 passningar, xT 0.06JosipovićJuraj Frigan: 110 passningar, xT 0.04FriganIvan Cvijanović: 110 passningar, xT 0.52CvijanovićDomagoj Pavičić: 103 passningar, xT 0.32PavičićTom Jacques Daniel Lacoux: 86 passningar, xT 0.05LacouxBruno Bogojević: 55 passningar, xT 0.15BogojevićJakov Pranjić: 54 passningar, xT 0.02Pranjić
    Rudeš
    Ivan Đorić: 146 passningar, xT 0.04ĐorićVedran Celjak: 146 passningar, xT 0.45CeljakNoa Skoko: 131 passningar, xT 0.41SkokoMarko Stolnik: 128 passningar, xT 0.08StolnikXavier Cabrita Fernandes: 123 passningar, xT 0.07FernandesBruno Unusic: 119 passningar, xT 0.26UnusicLovre Rogić: 84 passningar, xT 0.06RogićToni Kolega: 75 passningar, xT 0.05KolegaFilip Taraba: 69 passningar, xT 0.23TarabaMarko Zebić: 49 passningar, xT 0.04ZebićJurica Poldrugač: 48 passningar, xT 0.54Poldrugač
    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.

    Gorica
    Jakov Filipović: 161 passningar, xT 0.32FilipovićDušan Stevanović: 152 passningar, xT 0.18StevanovićStefan Perić: 129 passningar, xT 0.2PerićFilip Braut: 121 passningar, xT 0.35BrautRenato Josipović: 118 passningar, xT 0.06JosipovićJuraj Frigan: 110 passningar, xT 0.04FriganIvan Cvijanović: 110 passningar, xT 0.52CvijanovićDomagoj Pavičić: 103 passningar, xT 0.32PavičićTom Jacques Daniel Lacoux: 86 passningar, xT 0.05LacouxBruno Bogojević: 55 passningar, xT 0.15BogojevićJakov Pranjić: 54 passningar, xT 0.02Pranjić
    Rudeš
    Ivan Đorić: 146 passningar, xT 0.04ĐorićVedran Celjak: 146 passningar, xT 0.45CeljakNoa Skoko: 131 passningar, xT 0.41SkokoMarko Stolnik: 128 passningar, xT 0.08StolnikXavier Cabrita Fernandes: 123 passningar, xT 0.07FernandesBruno Unusic: 119 passningar, xT 0.26UnusicLovre Rogić: 84 passningar, xT 0.06RogićToni Kolega: 75 passningar, xT 0.05KolegaFilip Taraba: 69 passningar, xT 0.23TarabaMarko Zebić: 49 passningar, xT 0.04ZebićJurica Poldrugač: 48 passningar, xT 0.54Poldrugač

    The teams in numbers

    PerformanceGoricaRudeš
    Points54
    xPoints8.65.4
    xG per match0.840.63
    xGA per match1.62.2
    xG within 8s of winning the ball0.150.06
    xGA within 8s of losing the ball0.240.31
    Playing styleGoricaRudeš
    Build-up efficiency0.280.28
    Field tilt0.310.36
    xT per match0.730.63
    xTA per match1.41.3
    Won balls, offensive half2320
    Pressing intensity0.230.23
    Pressing efficiency0.290.27
    Pressing efficiency, offensive half0.240.22
    Entries into the box per match97
    Entries into the box against1414
    Pass completion %0.710.71
    Pass completion % under pressure0.660.65
    Passes per match293265
    Passes against per match400412
    Switches of play per match20.122
    Long balls per match3029
    Set piecesGoricaRudeš
    xG from free kicks0.040.1
    Corners per match2.63.5
    Corners against per match5.76.7
    xG per corner0.040.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.430.43
    First touch, defensive corners %0.570.57
    OtherGoricaRudeš
    Throw-in control0.690.61
    The goalkeepersRenato Josipović (Gorica)Lovre Rogić (Rudeš)
    Saves2427
    Save %89%53%
    xG prevented67%24%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gorica vs Rudeš according to our model?

    The model gives Gorica a 50% win probability. Full 1X2 picture: Gorica 50%, draw 30%, Rudeš 20%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 46% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.