Serbian Super LeagueStadion Čukarički, Belgrad12°13 km/h

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    ČukaričkiČukaričkiLow block & direct
    vs
    Mačva ŠabacMačva ŠabacLow block & direct
    The model's lean: 1 · Čukarički (50%)Best value by the model: 2 · Mačva Šabac @ 9.80 (+104 %)

    Čukarički vs Mačva Šabac · Serbian Super League

    1 · Čukarički 50%X 29%21% Mačva Šabac · 2

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    Analysis: Čukarički – Mačva Šabac

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

    FAKTA: Model probabilities: FK Cukaricki 50%, draw 29%, FK Macva Sabac 21%. Model lean: FK Cukaricki. Most likely scorelines: 1-0 (13%), 1-1 (12%), 2-0 (11%). Expected goals: FK Cukaricki 1.63, FK Macva Sabac 0.91. Over 2.5 goals: 47%. Both teams to score: 48%. Playing style: FK Cukaricki profiles as low defence & direct, FK Macva Sabac as low defence & direct. Points: FK Cukaricki 11 vs FK Macva Sabac 8 (edge FK Cukaricki) xPoints: FK Cukaricki 14.0 vs FK Macva Sabac 10.5 (edge FK Cukaricki) xG per match: FK Cukaricki 1.2 vs FK Macva Sabac 0.74 (edge FK Cukaricki) xGA per match: FK Cukaricki 1.6 vs FK Macva Sabac 2.1 (edge FK Cukaricki)

    TEXT: With Čukarički and Mačva Šabac both opting for a low defensive line combined with direct play, fans can expect a battle of similar tactics. However, the hosts have consistently shown a sharper edge, both in terms of current points and expected statistics. Čukarički's 11 points and an xPoints tally of 14.0 clearly outpace Mačva's 8 points and 10.5 xPoints.

    The numbers highlight a clear advantage for Čukarički, particularly when it comes to expected goals (xG) and expected goals against (xGA). The home side averages 1.2 xG per match compared to Mačva's mere 0.74, indicating a stronger offensive capability. Defensively, Čukarički also edges out, with an xGA of 1.6 against Mačva's leaky 2.1. These stats suggest that while both teams may deploy similar strategies, Čukarički implements them more effectively and is less vulnerable at the back.

    The model strongly leans toward a Čukarički victory, assigning them a 50% probability to win. The likelihood of a 1-0 scoreline (13%) further backs this up, pointing to a narrow but controlled win for the hosts. With an expected goal tally of 1.63 for Čukarički and 0.91 for the visitors, a 2-0 outcome (11%) also seems plausible. The probability of over 2.5 goals stands at just 47%, aligning with a low-scoring affair.

    Čukarički's greater tactical effectiveness and home advantage position them to secure a vital three points.

    ČukaričkiČukarički
    Form LLLDL
    League ranking xG #11xGA #13xT #11xP/match #9Points #9
    Key players
    • Marko DocićFxG 0.17 · xT 0.06
    • Veljko RadosavljevićFxG 0.30 · xT 0.04
    • Uroš MiladinovićCAMxG 0.36 · xT 0.15
    Mačva ŠabacMačva Šabac
    Form WDDLL
    League ranking xG #14xGA #14xT #15xP/match #13Points #13
    Key players
    • Bosko VrastanovicFxG 0.02 · xT 0.08
    • Luka PejovicLWxG 0.10 · xT 0.16
    • Milan VidakovFxG 0.34 · xT 0.05

    Match prediction: Čukarički – Mačva Šabac

    Predicted score matrix

    Mačva Šabac →
    Čukarički →
    0
    1
    2
    3
    4+
    0
    0–08.2%
    0–16.8%
    0–23.3%
    0–31.0%
    0–4+0.3%
    1
    1–012.5%
    1–112.0%
    1–25.3%
    1–31.6%
    1–4+0.4%
    2
    2–010.5%
    2–19.5%
    2–24.3%
    2–31.3%
    2–4+0.4%
    3
    3–05.7%
    3–15.2%
    3–22.4%
    3–30.7%
    3–4+0.2%
    4+
    4+–03.3%
    4+–13.0%
    4+–21.4%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-112%
    3. 3.2-011%
    4. 4.2-110%
    5. 5.0-08%
    Expected goals
    1,63–0,91
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,5
    Under 2,553%
    @1.98EV+6%
    Over 2,547%
    @1.72

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Čukarički to win50%
    • Under 3.5 goals75%

    Combined probability

    38%

    Fair odds

    2.61

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

    02 · 3 legs

    Balanced

    • Čukarički to win50%
    • Under 2.5 goals53%
    • Uroš Nikolić to score26%

    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 score48%
    • Over 2.5 goals47%
    • Uroš Nikolić to score26%
    • Igor Ristivojevic to be booked20%

    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 · Mačva Šabac21% probability@9.80BetsafeEV+104%reference odds
    • 2 · Mačva Šabac21% probability@9.80NordicbetEV+104%reference odds
    • X · Draw29% probability@4.80BetsafeEV+41%reference odds
    Bookmaker1 · ČukaričkiX2 · Mačva Šabac
    Betfair Exchange1.121.131.12
    Betsafe1.25
    EV+ 41%
    4.80
    EV+ 104%
    9.80
    Nordicbet1.25
    EV+ 41%
    4.80
    EV+ 104%
    9.80

    Odds updated 4 Oct, 12:36

    Odds movement

    1-1 %
    74 %69 %

    1.26 → 1.25

    X-3 %
    21 %16 %

    4.95 → 4.80

    2+4 %
    12 %7 %

    9.40 → 9.80

    Over 2,5-2 %
    56 %51 %

    1.75 → 1.72

    Nordicbet · 8 recorded price levels · 02/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Čukarički
    Mačva Šabac
    When goals are scored and conceded — 2026
    Čukarički (12–18)
    Mačva Šabac (6–17)
    Pass networks

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

    Čukarički
    Ismael Maiga: 202 passningar, xT 0.16MaigaSambou Sissoko: 143 passningar, xT 0.35SissokoMarko Docić: 124 passningar, xT 0.19DocićZlatan Šehović: 120 passningar, xT 0.37ŠehovićVladan Carapic: 102 passningar, xT 0.02CarapicNemanja Miletić: 92 passningar, xT 0.18MiletićMilan Djokovic: 88 passningar, xT 0.21DjokovicNikola Stankovic: 46 passningar, xT 0.49StankovicUroš Miladinović: 44 passningar, xT 0.3MiladinovićĐorđe Jovanović: 34 passningar, xT -0.12JovanovićAboubacar Cissé: 34 passningar, xT 0.03Cissé
    Mačva Šabac
    Slobodan Sladojevic: 147 passningar, xT 0.11SladojevicVukašin Jovanović: 120 passningar, xT 0.06JovanovićNemanja Stevanovic: 105 passningar, xT 0.44StevanovicIgor Ristivojevic: 96 passningar, xT 0.15RistivojevicKristijan Tojcic: 94 passningar, xT 0.12TojcicNikola Lainović: 87 passningar, xT 0.57LainovićBosko Vrastanovic: 82 passningar, xT 0.11VrastanovicĐorđe Đorđić: 65 passningar, xT 0.26ĐorđićLuka Pejovic: 64 passningar, xT 0.64PejovicDarko Terzic: 51 passningar, xT 0.02TerzicMitar Ergelaš: 48 passningar, xT 0.15Ergelaš
    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.

    Čukarički
    Ismael Maiga: 202 passningar, xT 0.16MaigaSambou Sissoko: 143 passningar, xT 0.35SissokoMarko Docić: 124 passningar, xT 0.19DocićZlatan Šehović: 120 passningar, xT 0.37ŠehovićVladan Carapic: 102 passningar, xT 0.02CarapicNemanja Miletić: 92 passningar, xT 0.18MiletićMilan Djokovic: 88 passningar, xT 0.21DjokovicNikola Stankovic: 46 passningar, xT 0.49StankovicUroš Miladinović: 44 passningar, xT 0.3MiladinovićĐorđe Jovanović: 34 passningar, xT -0.12JovanovićAboubacar Cissé: 34 passningar, xT 0.03Cissé
    Mačva Šabac
    Slobodan Sladojevic: 147 passningar, xT 0.11SladojevicVukašin Jovanović: 120 passningar, xT 0.06JovanovićNemanja Stevanovic: 105 passningar, xT 0.44StevanovicIgor Ristivojevic: 96 passningar, xT 0.15RistivojevicKristijan Tojcic: 94 passningar, xT 0.12TojcicNikola Lainović: 87 passningar, xT 0.57LainovićBosko Vrastanovic: 82 passningar, xT 0.11VrastanovicĐorđe Đorđić: 65 passningar, xT 0.26ĐorđićLuka Pejovic: 64 passningar, xT 0.64PejovicDarko Terzic: 51 passningar, xT 0.02TerzicMitar Ergelaš: 48 passningar, xT 0.15Ergelaš

    The teams in numbers

    PerformanceČukaričkiMačva Šabac
    Points118
    xPoints1410.5
    xG per match1.20.74
    xGA per match1.62.1
    xG within 8s of winning the ball0.340.14
    xGA within 8s of losing the ball0.30.29
    Playing styleČukaričkiMačva Šabac
    Build-up efficiency0.30.23
    Field tilt0.350.25
    xT per match0.840.61
    xTA per match1.31.5
    Won balls, offensive half2617
    Pressing intensity0.220.23
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.230.18
    Entries into the box per match107
    Entries into the box against1416
    Pass completion %0.670.66
    Pass completion % under pressure0.610.63
    Passes per match238216
    Passes against per match377360
    Switches of play per match18.915.6
    Long balls per match2622
    Set piecesČukaričkiMačva Šabac
    xG from free kicks0.010.02
    Corners per match3.62.6
    Corners against per match5.75.6
    xG per corner0.020.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.360.54
    First touch, defensive corners %0.420.52
    OtherČukaričkiMačva Šabac
    Throw-in control0.660.63
    The goalkeepersVladan Carapic (Čukarički)Vukašin Jovanović (Mačva Šabac)
    Saves2121
    Save %68%81%
    xG prevented32%67%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Čukarički vs Mačva Šabac according to our model?

    The model gives Čukarički a 50% win probability. Full 1X2 picture: Čukarički 50%, draw 29%, Mačva Šabac 21%.

    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 47% and under at 53%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.