Serbian Super LeagueRajko Mitić-stadion, Belgrad24°8 km/h

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    Red Star BelgradeRed Star BelgradePossession & high press
    30
    Radnički NišRadnički NišPossession & high press
    The model's lean: 1 · Red Star Belgrade (76%)

    Red Star Belgrade vs Radnički Niš · Serbian Super League

    1 · Red Star Belgrade 76%X 15%9% Radnički Niš · 2

    Analysis: Red Star BelgradeRadnički Niš

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

    The odds-on Red Star to win at Bet365 offer limited value given the overwhelming favoritism, but a specific interest lies in the 2-0 correct score at 12%, which might present a sharper angle for punters seeking to capitalize on the match dynamics.

    Corrected text:

    Red Star Belgrade's fortress-like home record looms large as they prepare to host Radnički Niš. With a formidable 84% win rate at home across 43 matches and current form boasting an eight-match unbeaten streak in the league, the hosts are clear favorites. The visitors, Radnički Niš, face a daunting task, having managed only a solitary point from their four head-to-heads since 2023. Given these trends, the model heavily favors a Red Star victory, with a notable lean towards a 2-0 or 3-0 result.

    Both teams employ a possession-based and high-pressing approach, likely leading to a tactical battle where Red Star's superior quality should prevail. The expected goals (xG) tally presents a stark contrast: Red Star average 2.53 xG per match compared to Niš's 0.73. This suggests the home side will not only dominate possession but also generate significantly more scoring opportunities. Meanwhile, the visitors' defensive vulnerabilities are highlighted by their higher expected goals against (xGA) at 1.1 versus Red Star's 0.6, further tipping the scales in favor of the hosts.

    While Radnički Niš are unlikely to pose a serious threat in Belgrade, their capacity to surprise with a goal shouldn't be entirely dismissed, as both teams to score is assessed at 48%. Nonetheless, the probability of over 2.5 goals hitting 63% aligns well with the expected scorelines, suggesting a fairly open game but one predominantly controlled by the hosts.

    Despite the small head-to-head sample size, form and xG metrics reinforce Red Star's dominance. Red Star are heavily favored to win given the overwhelming statistical edge, but a specific interest lies in the 2-0 correct score at 12%, which might present a sharper angle for punters seeking to capitalize on the match dynamics.

    Red Star BelgradeRed Star Belgrade
    Form WWWDW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Aleksandar KataiFxG 0.80 · xT 0.18
    • Nayair TiknizyanLWBxG 0.03 · xT 0.33
    • Young-Woo SeolRBxG 0.04 · xT 0.46
    Radnički NišRadnički Niš
    Form DLDLW
    League ranking xG #8xGA #6xT #6xP/match #10Points #11
    Key players
    • Dušan JovanovićFxG 0.29 · xT 0.14
    • Miloš SpasićFxG 0.13 · xT 0.04
    • Issah AbassLWxG 0.33 · xT 0.24
    Final score
    30
    The model called the outcome
    Predicted probabilities: Red Star Belgrade 76% · Draw 15% · Radnički Niš 9%

    Match prediction: Red Star BelgradeRadnički Niš

    Predicted score matrix

    Radnički Niš
    Red Star Belgrade
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–12.6%
    0–21.0%
    0–30.3%
    0–4+0.1%
    1
    1–09.5%
    1–17.3%
    1–22.6%
    1–30.6%
    1–4+0.1%
    2
    2–012.3%
    2–19.0%
    2–23.3%
    2–30.8%
    2–4+0.2%
    3
    3–010.4%
    3–17.6%
    3–22.8%
    3–30.7%
    3–4+0.1%
    4+
    4+–012.0%
    4+–18.7%
    4+–23.2%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-012%
    2. 2.3-010%
    3. 3.1-010%
    4. 4.2-19%
    5. 5.3-18%
    Expected goals
    2,530,73
    Both teams to score
    48%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    Over 2,563%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Red Star Belgrade to win76%
    • Over 1.5 goals84%

    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 goals63%
    • Vasilije Kostov to score43%

    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 goals63%
    • Vasilije Kostov to score43%
    • Radomir Milosavljević to be booked24%

    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

    4 matches
    Red Star Belgrade 3Draw 1Radnički Niš 0
    Goals: 101 (⌀ 2,8)

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

    Key facts

    • Red Star Belgrade are unbeaten in their last 8 league matches.
    • Red Star Belgrade win 84% of their home matches all-time (43 played).
    xG & xGA per match — 3-game rolling average

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

    Red Star Belgrade
    Radnički Niš
    When goals are scored and conceded 2026
    Red Star Belgrade (192)
    Radnički Niš (68)
    Pass networks

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

    Red Star Belgrade
    Stefan Gudelj: 291 passningar, xT 0.44GudeljMatej Gashtarov: 263 passningar, xT 0.44GashtarovYuta Nakayama: 191 passningar, xT 0.22NakayamaDerrick Luckassen: 171 passningar, xT 0.16LuckassenMatheus Lima Magalhães: 163 passningar, xT 0.06MagalhãesRodrigo de Souza Prado: 148 passningar, xT 0.2PradoMohamed Abu Fani: 146 passningar, xT 0.53FaniMahmudu Bajo: 137 passningar, xT 0.07BajoTimi Max Elsnik: 126 passningar, xT 0.39ElsnikMiloš Veljković: 118 passningar, xT 0.7VeljkovićTomás Romano Pereira dos Santos Händel: 110 passningar, xT 0.31Händel
    Radnički Niš
    Ranko Jokić: 177 passningar, xT 0.52JokićBojan Kovacevic: 171 passningar, xT 1.07KovacevicIvan Kostić: 107 passningar, xT 0.15KostićRadomir Milosavljević: 102 passningar, xT 0.09MilosavljevićUroš Vitas: 86 passningar, xT 0.12VitasStefan Veličković: 71 passningar, xT 0.45VeličkovićLuka Izderić: 69 passningar, xT 0IzderićMiloš Spasić: 67 passningar, xT 0.3SpasićDamjan Krajišnik: 66 passningar, xT 0.39KrajišnikFranck Kanoute: 51 passningar, xT 0.09KanouteIssah Abass: 49 passningar, xT 0.27Abass
    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
    Stefan Gudelj: 291 passningar, xT 0.44GudeljMatej Gashtarov: 263 passningar, xT 0.44GashtarovYuta Nakayama: 191 passningar, xT 0.22NakayamaDerrick Luckassen: 171 passningar, xT 0.16LuckassenMatheus Lima Magalhães: 163 passningar, xT 0.06MagalhãesRodrigo de Souza Prado: 148 passningar, xT 0.2PradoMohamed Abu Fani: 146 passningar, xT 0.53FaniMahmudu Bajo: 137 passningar, xT 0.07BajoTimi Max Elsnik: 126 passningar, xT 0.39ElsnikMiloš Veljković: 118 passningar, xT 0.7VeljkovićTomás Romano Pereira dos Santos Händel: 110 passningar, xT 0.31Händel
    Radnički Niš
    Ranko Jokić: 177 passningar, xT 0.52JokićBojan Kovacevic: 171 passningar, xT 1.07KovacevicIvan Kostić: 107 passningar, xT 0.15KostićRadomir Milosavljević: 102 passningar, xT 0.09MilosavljevićUroš Vitas: 86 passningar, xT 0.12VitasStefan Veličković: 71 passningar, xT 0.45VeličkovićLuka Izderić: 69 passningar, xT 0IzderićMiloš Spasić: 67 passningar, xT 0.3SpasićDamjan Krajišnik: 66 passningar, xT 0.39KrajišnikFranck Kanoute: 51 passningar, xT 0.09KanouteIssah Abass: 49 passningar, xT 0.27Abass

    The teams in numbers

    PerformanceRed Star BelgradeRadnički Niš
    Points228
    xPoints16.811
    xG per match2.51.4
    xGA per match0.61.1
    xG within 8s of winning the ball0.330.27
    xGA within 8s of losing the ball0.070.15
    Playing styleRed Star BelgradeRadnički Niš
    Build-up efficiency0.330.31
    Field tilt0.750.66
    xT per match21.3
    xTA per match0.740.69
    Won balls, offensive half2431
    Pressing intensity0.210.21
    Pressing efficiency0.340.33
    Pressing efficiency, offensive half0.280.29
    Entries into the box per match1915
    Entries into the box against89
    Pass completion %0.840.73
    Pass completion % under pressure0.780.71
    Passes per match501309
    Passes against per match261274
    Switches of play per match45.822.7
    Long balls per match4836
    Set piecesRed Star BelgradeRadnički Niš
    xG from free kicks0.030.04
    Corners per match4.54.7
    Corners against per match2.93.7
    xG per corner0.030.04
    xGA per corner against0.010.02
    First touch, offensive corners %0.670.49
    First touch, defensive corners %0.70.5
    OtherRed Star BelgradeRadnički Niš
    Throw-in control0.880.7
    The goalkeepersMatheus Lima Magalhães (Red Star Belgrade)Ivan Kostić (Radnički Niš)
    Saves2121
    Save %91%84%
    xG prevented67%64%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Red Star Belgrade vs Radnički Niš according to our model?

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

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    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.