Serbian Super League12°11 km/h

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    OFK BeogradOFK BeogradPossession control
    vs
    Red Star BelgradeRed Star BelgradePossession & high press
    The model's lean: 2 · Red Star Belgrade (69%)

    OFK Beograd vs Red Star Belgrade · Serbian Super League

    1 · OFK Beograd 11%X 20%69% Red Star Belgrade · 2

    Prediction summary

    BetBuilders AI model prediction for OFK Beograd vs Red Star Belgrade (Serbian Super League, Sunday, 25 October 2026): OFK Beograd win 11%, draw 20%, Red Star Belgrade win 69%. Expected goals (xG): OFK Beograd 0.92, Red Star Belgrade 2.26. Most likely score: 0-2 (11%). Over 2.5 goals 62%, both teams to score 54%. Double chance: OFK Beograd or draw 31%, Red Star Belgrade or draw 89%. Prediction updated Friday, 16 October 2026.

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    Analysis: OFK Beograd – Red Star Belgrade

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

    With Red Star Belgrade's impressive form and OFK Beograd's possession-centric approach, the numbers set the stage for a match dominated by the visitors. Red Star, on a sensational five-game winning streak, has shown a knack for controlling games with high pressing and efficient possession. Meanwhile, OFK Beograd's strategy of maintaining the ball has not translated into results, as evidenced by their modest xPoints and overall league standing.

    The historical edge heavily favors Red Star, who have emerged victorious in five of their last six encounters with OFK Beograd. Although the small sample size tempers the head-to-head significance, Red Star's superior xG of 2.6 per match dwarfs OFK Beograd's 1.0. This disparity suggests a likelihood of Red Star capitalizing on scoring opportunities, a hypothesis supported by their expected goals tally.

    The probability models lean strongly towards a Red Star victory, with a 69% chance of them taking home the three points. When combined with the high-scoring average of this fixture (5.0 goals per game), the model further supports an over 2.5 goals lean at 62%. This aligns with the probability of both teams finding the net (54%), hinting at a dynamic clash despite OFK's struggles.

    In terms of likely outcomes, a 0-2 Red Star win dominates the expectation at 11%. This result reflects both teams' tendencies: Red Star's offensive prowess and OFK's defensive vulnerabilities, evident from their xGA of 1.4 compared to Red Star's mere 0.64.

    OFK BeogradOFK Beograd
    Form DLLDD
    League ranking xG #12xGA #10xT #12xP/match #13Points #11
    Key players
    • Sergio Fernando Peña FloresCDMxG 0.13 · xT 0.10
    • Aleksej VukičevićCBxG 0.02 · xT 0.06
    • Andrej PavlovićCBxG 0.04 · xT 0.08
    Red Star BelgradeRed Star Belgrade
    Form WWWWW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Aleksandar KataiFxG 0.74 · xT 0.16
    • Franklin Tebo UchennaCBxG 0.01 · xT 0.10
    • Derrick LuckassenLBxG 0.05 · xT 0.05

    Match prediction: OFK Beograd – Red Star Belgrade

    Predicted score matrix

    Red Star Belgrade →
    OFK Beograd →
    0
    1
    2
    3
    4+
    0
    0–04.4%
    0–19.2%
    0–210.6%
    0–38.0%
    0–4+7.7%
    1
    1–03.6%
    1–18.9%
    1–29.8%
    1–37.4%
    1–4+7.1%
    2
    2–01.8%
    2–14.0%
    2–24.5%
    2–33.4%
    2–4+3.2%
    3
    3–00.5%
    3–11.2%
    3–21.4%
    3–31.0%
    3–4+1.0%
    4+
    4+–00.1%
    4+–10.3%
    4+–20.4%
    4+–30.3%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-211%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.1-19%
    5. 5.0-38%
    Expected goals
    0,92–2,26
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    –
    Over 2,562%
    –

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    01 · 2 legs

    Safe

    • Red Star Belgrade to win69%
    • Over 1.5 goals83%

    Combined probability

    58%

    Fair odds

    1.72

    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 win69%
    • Over 2.5 goals62%
    • Aleksandar Katai 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 score54%
    • Over 2.5 goals62%
    • Aleksandar Katai to score40%
    • Edmund Addo 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

    6 matches
    OFK Beograd 1Draw 0Red Star Belgrade 5
    Goals: 9–21 (⌀ 5)

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

    Key facts

    • Red Star Belgrade dominate this fixture historically: 5 wins to 1 in 6 meetings.
    • A high-scoring fixture: 5.0 goals per meeting on average.
    • Red Star Belgrade come into this round on 5 straight wins.
    xG & xGA per match — 3-game rolling average

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

    OFK Beograd
    Red Star Belgrade
    When goals are scored and conceded — 2026
    OFK Beograd (14–22)
    Red Star Belgrade (32–4)
    Pass networks

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

    OFK Beograd
    Sergio Fernando Peña Flores: 247 passningar, xT 0.53FloresEdmund Addo: 163 passningar, xT 0.18AddoAndrej Pavlović: 146 passningar, xT 0.5PavlovićUroš Stojanović: 110 passningar, xT 0.13StojanovićNikola Maraš: 80 passningar, xT 0.1MarašVuk Draškić: 76 passningar, xT 0.09DraškićStefan Despotovski: 68 passningar, xT 0.28DespotovskiMiljan Momčilović: 65 passningar, xT -0.02MomčilovićMilan Rodić: 64 passningar, xT 0.03RodićAndre Tjay De Barr: 63 passningar, xT 0.02BarrĐorđe Ranković: 61 passningar, xT -0.02Ranković
    Red Star Belgrade
    Yuta Nakayama: 278 passningar, xT 0.4NakayamaMiloš Veljković: 240 passningar, xT 0.43VeljkovićStefan Gudelj: 216 passningar, xT 0.36GudeljMatej Gashtarov: 203 passningar, xT 0.37GashtarovMatheus Lima Magalhães: 177 passningar, xT 0.14MagalhãesTimi Max Elsnik: 122 passningar, xT 0.39ElsnikMohamed Abu Fani: 120 passningar, xT 0.5FaniMuhammed Cham Saračević: 118 passningar, xT 0.89SaračevićMahmudu Bajo: 107 passningar, xT 0.32BajoMatej Strika: 101 passningar, xT 0.13StrikaOsman Bukari: 91 passningar, xT 0.51Bukari
    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.

    OFK Beograd
    Sergio Fernando Peña Flores: 247 passningar, xT 0.53FloresEdmund Addo: 163 passningar, xT 0.18AddoAndrej Pavlović: 146 passningar, xT 0.5PavlovićUroš Stojanović: 110 passningar, xT 0.13StojanovićNikola Maraš: 80 passningar, xT 0.1MarašVuk Draškić: 76 passningar, xT 0.09DraškićStefan Despotovski: 68 passningar, xT 0.28DespotovskiMiljan Momčilović: 65 passningar, xT -0.02MomčilovićMilan Rodić: 64 passningar, xT 0.03RodićAndre Tjay De Barr: 63 passningar, xT 0.02BarrĐorđe Ranković: 61 passningar, xT -0.02Ranković
    Red Star Belgrade
    Yuta Nakayama: 278 passningar, xT 0.4NakayamaMiloš Veljković: 240 passningar, xT 0.43VeljkovićStefan Gudelj: 216 passningar, xT 0.36GudeljMatej Gashtarov: 203 passningar, xT 0.37GashtarovMatheus Lima Magalhães: 177 passningar, xT 0.14MagalhãesTimi Max Elsnik: 122 passningar, xT 0.39ElsnikMohamed Abu Fani: 120 passningar, xT 0.5FaniMuhammed Cham Saračević: 118 passningar, xT 0.89SaračevićMahmudu Bajo: 107 passningar, xT 0.32BajoMatej Strika: 101 passningar, xT 0.13StrikaOsman Bukari: 91 passningar, xT 0.51Bukari

    The teams in numbers

    PerformanceOFK BeogradRed Star Belgrade
    Points1134
    xPoints12.924.7
    xG per match12.6
    xGA per match1.40.64
    xG within 8s of winning the ball0.190.3
    xGA within 8s of losing the ball0.360.1
    Playing styleOFK BeogradRed Star Belgrade
    Build-up efficiency0.320.33
    Field tilt0.530.74
    xT per match0.881.9
    xTA per match0.950.69
    Won balls, offensive half2624
    Pressing intensity0.210.21
    Pressing efficiency0.330.34
    Pressing efficiency, offensive half0.280.29
    Entries into the box per match1018
    Entries into the box against118
    Pass completion %0.730.83
    Pass completion % under pressure0.680.79
    Passes per match323496
    Passes against per match266253
    Switches of play per match16.239.1
    Long balls per match2744
    Set piecesOFK BeogradRed Star Belgrade
    xG from free kicks0.080.02
    Corners per match3.35.2
    Corners against per match3.93
    xG per corner0.020.03
    xGA per corner against0.010.01
    First touch, offensive corners %0.440.62
    First touch, defensive corners %0.680.66
    OtherOFK BeogradRed Star Belgrade
    Throw-in control0.690.86
    The goalkeepersVuk Draškić (OFK Beograd)Matheus Lima Magalhães (Red Star Belgrade)
    Saves2526
    Save %58%90%
    xG prevented36%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins OFK Beograd vs Red Star Belgrade according to our model?

    The model gives Red Star Belgrade a 69% win probability. Full 1X2 picture: OFK Beograd 11%, draw 20%, Red Star Belgrade 69%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 54% according to the model.

    How many goals are expected in OFK Beograd vs Red Star Belgrade?

    The model expects 0.92 goals (xG) for OFK Beograd and 2.26 for Red Star Belgrade, 3.18 in total.

    What does the model say about double chance?

    OFK Beograd or draw (1X) 31%, Red Star Belgrade or draw (X2) 89% and no draw (12) 80%.

    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.