Serbian Super LeagueRajko Mitić-stadion, Belgrad27°19 km/h

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    Red Star BelgradeRed Star BelgradePossession & high press
    40
    ČukaričkiČukaričkiLow block & direct
    The model's lean: 1 · Red Star Belgrade (76%)

    Red Star BelgradeČukarički · Serbian Super League

    1 · Red Star Belgrade 76%X 15%9% Čukarički · 2

    Analysis: Red Star BelgradeČukarički

    Anna Karlsson · · A data-driven preview · How the predictions work

    Five matches, five victories for Red Star Belgrade. That's the tale of their head-to-head record against Čukarički since 2023. A clean sweep in a small sample, true, but a telling one nonetheless. Not only do the hosts typically dominate this matchup, but they do so with an average of 4.4 goals per game, hinting at a fixture that historically leans towards high scorelines.

    In this context, Red Star's current form—three consecutive victories—adds another layer of confidence. Their commanding possession-based and high-press style should disrupt Čukarički's defensive, direct approach. Despite sitting a point behind Čukarički in the standings, Red Star's expected goals per match (3.2) tower over their opponents' (1.3), reinforcing their attacking superiority. The home side's historical win rate of 83% at their ground further tips the scales in their favor.

    The model is clear: Red Star Belgrade are the overwhelming favorites with a 76% chance to secure victory. The expected goals further illustrate a likely scenario of 2.58-0.81 in favor of the hosts. Anticipated scorelines of 2-0 and 3-0 are most probable, suggesting a game where Red Star should keep Čukarički at bay while comfortably finding the net themselves. With the over 2.5 goals sitting at 66%, the numbers hint at another goal-glut affair, albeit with a slight possibility of both teams to score at 52%.

    Considering all angles, the sharpest value seems to lie in backing Red Star to win without conceding. Bet365 offers this "Win to Nil" option at odds of 2.10, an enticing proposition given both the historical dominance and defensive solidity Red Star have shown. In the context of Red Star's attacking prowess and Čukarički's anticipated struggles to break through, this bet captures both form and forecast, spotlighting a profitable angle in a fixture rich with scoring potential.

    Red Star BelgradeRed Star Belgrade
    Form DLWWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #3
    Key players
    • Aleksandar KataiFxG 0.79 · xT 0.22
    • Bruno Duarte da SilvaRWxG 1.22 · xT 0.30
    • Vasilije KostovRWxG 1.06 · xT -0.06
    ČukaričkiČukarički
    Form LWWDW
    League ranking xG #9xGA #7xT #8xP/match #3Points #1
    Key players
    • Marko DocićFxG 0.08 · xT 0.06
    • Uroš MiladinovićCAMxG 0.53 · xT 0.17
    • Veljko RadosavljevićFxG 0.27 · xT 0.04
    Final score
    40
    The model called the outcome
    Predicted probabilities: Red Star Belgrade 76% · Draw 15% · Čukarički 9%

    Match prediction: Red Star BelgradeČukarički

    Predicted score matrix

    Čukarički
    Red Star Belgrade
    0
    1
    2
    3
    4+
    0
    0–03.6%
    0–12.5%
    0–21.1%
    0–30.3%
    0–4+0.1%
    1
    1–08.5%
    1–17.3%
    1–22.9%
    1–30.8%
    1–4+0.2%
    2
    2–011.2%
    2–19.1%
    2–23.7%
    2–31.0%
    2–4+0.2%
    3
    3–09.6%
    3–17.8%
    3–23.2%
    3–30.9%
    3–4+0.2%
    4+
    4+–011.5%
    4+–19.3%
    4+–23.8%
    4+–31.0%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.3-010%
    3. 3.2-19%
    4. 4.1-08%
    5. 5.3-18%
    Expected goals
    2,580,81
    Both teams to score
    52%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    Over 2,566%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Red Star Belgrade to win76%
    • Over 1.5 goals85%

    Combined probability

    67%

    Fair odds

    1.50

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

    02 · 3 legs

    Balanced

    • Red Star Belgrade to win76%
    • Over 2.5 goals66%
    • Vasilije Kostov to score40%

    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 score52%
    • Over 2.5 goals66%
    • Vasilije Kostov to score40%
    • Marko Docić to be booked23%

    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

    No odds available yet.

    Statistics

    Head-to-head

    5 matches
    Red Star Belgrade 5Draw 0Čukarički 0
    Goals: 175 (⌀ 4,4)

    Head-to-head based on Serbian Super League data since 2023.

    Key facts

    • Red Star Belgrade dominate this fixture historically: 5 wins to 0 in 5 meetings.
    • A high-scoring fixture: 4.4 goals per meeting on average.
    • Red Star Belgrade come into this round on 3 straight wins.
    • Red Star Belgrade win 83% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Red Star Belgrade
    Čukarički
    When goals are scored and conceded 2026
    Red Star Belgrade (101)
    Čukarički (93)
    Pass networks

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

    Red Star Belgrade
    Young-Woo Seol: 170 passningar, xT 1.35SeolStrahinja Eraković: 159 passningar, xT 0.29ErakovićMohamed Abu Fani: 138 passningar, xT 1.09FaniNayair Tiknizyan: 127 passningar, xT 0.85TiknizyanMiloš Veljković: 121 passningar, xT 0.17VeljkovićStefan Gudelj: 114 passningar, xT 0.09GudeljTimi Max Elsnik: 92 passningar, xT 0.11ElsnikMirko Ivanić: 66 passningar, xT 0.32IvanićMuhammed Cham Saračević: 56 passningar, xT 0.23SaračevićSavo Radanović: 47 passningar, xT 0.02RadanovićAleksandar Katai: 43 passningar, xT 0.16Katai
    Čukarički
    Ismael Maiga: 142 passningar, xT 0.13MaigaMarko Docić: 128 passningar, xT 0.28DocićNemanja Miletić: 101 passningar, xT 0.54MiletićSambou Sissoko: 96 passningar, xT 0.18SissokoZlatan Šehović: 86 passningar, xT 0.23ŠehovićĐorđe Nikolić: 81 passningar, xT 0.2NikolićUroš Miladinović: 72 passningar, xT 0.52MiladinovićMilan Djokovic: 72 passningar, xT 0.48DjokovicFiorin Durmishaj: 45 passningar, xT 0.06DurmishajVeljko Radosavljević: 40 passningar, xT 0.08RadosavljevićLazar Stojanović: 38 passningar, xT 0.33Stojanović
    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.

    Red Star Belgrade
    Young-Woo Seol: 170 passningar, xT 1.35SeolStrahinja Eraković: 159 passningar, xT 0.29ErakovićMohamed Abu Fani: 138 passningar, xT 1.09FaniNayair Tiknizyan: 127 passningar, xT 0.85TiknizyanMiloš Veljković: 121 passningar, xT 0.17VeljkovićStefan Gudelj: 114 passningar, xT 0.09GudeljTimi Max Elsnik: 92 passningar, xT 0.11ElsnikMirko Ivanić: 66 passningar, xT 0.32IvanićMuhammed Cham Saračević: 56 passningar, xT 0.23SaračevićSavo Radanović: 47 passningar, xT 0.02RadanovićAleksandar Katai: 43 passningar, xT 0.16Katai
    Čukarički
    Ismael Maiga: 142 passningar, xT 0.13MaigaMarko Docić: 128 passningar, xT 0.28DocićNemanja Miletić: 101 passningar, xT 0.54MiletićSambou Sissoko: 96 passningar, xT 0.18SissokoZlatan Šehović: 86 passningar, xT 0.23ŠehovićĐorđe Nikolić: 81 passningar, xT 0.2NikolićUroš Miladinović: 72 passningar, xT 0.52MiladinovićMilan Djokovic: 72 passningar, xT 0.48DjokovicFiorin Durmishaj: 45 passningar, xT 0.06DurmishajVeljko Radosavljević: 40 passningar, xT 0.08RadosavljevićLazar Stojanović: 38 passningar, xT 0.33Stojanović

    The teams in numbers

    PerformanceRed Star BelgradeČukarički
    Points910
    xPoints6.98.8
    xG per match3.21.3
    xGA per match0.681.2
    xG within 8s of winning the ball0.550.43
    xGA within 8s of losing the ball0.10.14
    Playing styleRed Star BelgradeČukarički
    Build-up efficiency0.330.3
    Field tilt0.690.34
    xT per match20.96
    xTA per match0.621.4
    Won balls, offensive half3428
    Pressing intensity0.220.22
    Pressing efficiency0.330.28
    Pressing efficiency, offensive half0.330.24
    Entries into the box per match2111
    Entries into the box against816
    Pass completion %0.820.65
    Pass completion % under pressure0.760.62
    Passes per match471208
    Passes against per match283369
    Switches of play per match45.616
    Long balls per match5226
    Set piecesRed Star BelgradeČukarički
    xG from free kicks0.080
    Corners per match6.12.8
    Corners against per match2.46.8
    xG per corner0.020.04
    xGA per corner against0.010.04
    First touch, offensive corners %0.670.57
    First touch, defensive corners %0.570.38
    OtherRed Star BelgradeČukarički
    Throw-in control0.90.59
    The goalkeepersMatheus Lima Magalhães (Red Star Belgrade)Đorđe Nikolić (Čukarički)
    Saves617
    Save %86%85%
    xG prevented63%84%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Red Star Belgrade vs Čukarički according to our model?

    The model gives Red Star Belgrade a 76% win probability. Full 1X2 picture: Red Star Belgrade 76%, draw 15%, Čukarički 9%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.