Serbian Super League19°14 km/h

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    IMTIMTPossession & high press
    vs
    Red Star BelgradeRed Star BelgradePossession & high press
    The model's lean: 2 · Red Star Belgrade (60%)

    IMTRed Star Belgrade · Serbian Super League

    1 · IMT 17%X 23%60% Red Star Belgrade · 2

    Analysis: IMTRed Star Belgrade

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

    TEXT: Red Star Belgrade's unbeaten streak of seven league matches sets the stage for this clash against IMT, who have yet to earn a point in four head-to-head meetings since 2023. The stark contrast in the expected goals (xG) figures highlights Red Star's attacking prowess, with 2.7 xG per match dwarfing IMT's 1.4. This offensive firepower positions the visitors as clear favorites, bolstered by a solid defense allowing just 0.63 expected goals against (xGA) per match.

    Both teams deploy a high-pressing, possession-oriented style, which could lead to a congested midfield battle but may also create spaces behind the defensive lines. The model leans towards Red Star, giving them a 60% chance of victory. Meanwhile, the most probable scorelines suggest a close affair, with 1-1 and 1-2 both at 10% or higher. Yet, the visitors' superior xG figures indicate they should be able to carve out more significant opportunities.

    IMT, despite their high press, struggle to convert possession into tangible results against top-tier opposition. Their xPoints of 11.6 compared to Red Star's 15.1 further emphasize this gap. While the hosts might disrupt Red Star's rhythm at times, their historical inability to secure a result against these opponents, albeit in a small sample size, is telling.

    With an over 2.5 goals probability at 57% and both teams to score at 56%, the model suggests a relatively open match. Yet, Red Star's defensive record hints they might keep IMT at bay. A 1-2 victory for the visitors seems the most fitting outcome.

    For bettors, the model's 60% probability for a Red Star Belgrade win suggests a meaningful edge over a break-even implied probability, making them the favored side to back in this market.

    IMTIMT
    Form WLDLW
    League ranking xG #7xGA #3xT #8xP/match #3Points #3
    Key players
    • Charly Soualio KeitaFxG 0.49 · xT 0.05
    • Tadija CojicFxG 0.28 · xT 0.11
    • Vasilije NovičićCMxG 0.24 · xT 0.07
    Red Star BelgradeRed Star Belgrade
    Form WWWWD
    League ranking xG #1xGA #2xT #1xP/match #2Points #1
    Key players
    • Aleksandar KataiFxG 0.80 · xT 0.18
    • Mirko IvanićLWxG 0.61 · xT 0.32
    • Nayair TiknizyanLWBxG 0.03 · xT 0.33

    Match prediction: IMTRed Star Belgrade

    Predicted score matrix

    Red Star Belgrade
    IMT
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–19.6%
    0–29.4%
    0–36.0%
    0–4+4.4%
    1
    1–05.2%
    1–110.7%
    1–29.9%
    1–36.3%
    1–4+4.6%
    2
    2–02.9%
    2–15.5%
    2–25.2%
    2–33.3%
    2–4+2.4%
    3
    3–01.0%
    3–11.9%
    3–21.8%
    3–31.2%
    3–4+0.9%
    4+
    4+–00.3%
    4+–10.6%
    4+–20.6%
    4+–30.4%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-210%
    3. 3.0-110%
    4. 4.0-29%
    5. 5.1-36%
    Expected goals
    1,051,90
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    Over 2,557%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Red Star Belgrade to win60%
    • Over 1.5 goals80%

    Combined probability

    47%

    Fair odds

    2.12

    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 win60%
    • Over 2.5 goals57%
    • Mohamed Abu Fani 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 score56%
    • Over 2.5 goals57%
    • Mohamed Abu Fani to score31%
    • Wendkuuni Josué Tiendrébéogo 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
    IMT 0Draw 0Red Star Belgrade 4
    Goals: 315 (⌀ 4,5)

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

    Key facts

    • Red Star Belgrade are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    IMT
    Red Star Belgrade
    When goals are scored and conceded 2026
    IMT (104)
    Red Star Belgrade (182)
    Pass networks

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

    IMT
    Moussa Sissako: 206 passningar, xT 0.3SissakoStefan Šapić: 189 passningar, xT 0.27ŠapićVasilije Novičić: 168 passningar, xT 0.32NovičićIván Martos Campillo: 164 passningar, xT 0.2CampilloOgnjen Čančarević: 117 passningar, xT 0.22ČančarevićWendkuuni Josué Tiendrébéogo: 103 passningar, xT 0.16TiendrébéogoIsmael Casas Casado: 63 passningar, xT 0.1CasadoNikola Glišić: 61 passningar, xT 0.07GlišićVladimir Radočaj: 59 passningar, xT 0.67RadočajIbrahima Kébé: 49 passningar, xT 0.05KébéJulián Javier Delmás Germán: 49 passningar, xT 0.42Germán
    Red Star Belgrade
    Stefan Gudelj: 231 passningar, xT 0.34GudeljMatej Gashtarov: 199 passningar, xT 0.41GashtarovMiloš Veljković: 177 passningar, xT 0.79VeljkovićRodrigo de Souza Prado: 148 passningar, xT 0.2PradoMohamed Abu Fani: 147 passningar, xT 0.53FaniTimi Max Elsnik: 127 passningar, xT 0.35ElsnikMatheus Lima Magalhães: 124 passningar, xT 0.02MagalhãesMahmudu Bajo: 115 passningar, xT 0.05BajoDerrick Luckassen: 113 passningar, xT 0.11LuckassenFranklin Tebo Uchenna: 110 passningar, xT 0.19UchennaTomás Romano Pereira dos Santos Händel: 99 passningar, xT 0.29Händel
    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.

    IMT
    Moussa Sissako: 206 passningar, xT 0.3SissakoStefan Šapić: 189 passningar, xT 0.27ŠapićVasilije Novičić: 168 passningar, xT 0.32NovičićIván Martos Campillo: 164 passningar, xT 0.2CampilloOgnjen Čančarević: 117 passningar, xT 0.22ČančarevićWendkuuni Josué Tiendrébéogo: 103 passningar, xT 0.16TiendrébéogoIsmael Casas Casado: 63 passningar, xT 0.1CasadoNikola Glišić: 61 passningar, xT 0.07GlišićVladimir Radočaj: 59 passningar, xT 0.67RadočajIbrahima Kébé: 49 passningar, xT 0.05KébéJulián Javier Delmás Germán: 49 passningar, xT 0.42Germán
    Red Star Belgrade
    Stefan Gudelj: 231 passningar, xT 0.34GudeljMatej Gashtarov: 199 passningar, xT 0.41GashtarovMiloš Veljković: 177 passningar, xT 0.79VeljkovićRodrigo de Souza Prado: 148 passningar, xT 0.2PradoMohamed Abu Fani: 147 passningar, xT 0.53FaniTimi Max Elsnik: 127 passningar, xT 0.35ElsnikMatheus Lima Magalhães: 124 passningar, xT 0.02MagalhãesMahmudu Bajo: 115 passningar, xT 0.05BajoDerrick Luckassen: 113 passningar, xT 0.11LuckassenFranklin Tebo Uchenna: 110 passningar, xT 0.19UchennaTomás Romano Pereira dos Santos Händel: 99 passningar, xT 0.29Händel

    The teams in numbers

    PerformanceIMTRed Star Belgrade
    Points1319
    xPoints11.615.1
    xG per match1.42.7
    xGA per match0.840.63
    xG within 8s of winning the ball0.210.36
    xGA within 8s of losing the ball0.20.08
    Playing styleIMTRed Star Belgrade
    Build-up efficiency0.290.34
    Field tilt0.570.75
    xT per match12.1
    xTA per match0.640.76
    Won balls, offensive half3024
    Pressing intensity0.20.21
    Pressing efficiency0.360.34
    Pressing efficiency, offensive half0.320.28
    Entries into the box per match1220
    Entries into the box against98
    Pass completion %0.720.83
    Pass completion % under pressure0.70.78
    Passes per match307495
    Passes against per match262266
    Switches of play per match16.846.9
    Long balls per match2950
    Set piecesIMTRed Star Belgrade
    xG from free kicks0.040.03
    Corners per match5.44.9
    Corners against per match3.42.6
    xG per corner0.030.03
    xGA per corner against0.010.01
    First touch, offensive corners %0.340.68
    First touch, defensive corners %0.580.67
    OtherIMTRed Star Belgrade
    Throw-in control0.720.89
    The goalkeepersOgnjen Čančarević (IMT)Matheus Lima Magalhães (Red Star Belgrade)
    Saves1419
    Save %78%91%
    xG prevented53%66%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Red Star Belgrade a 60% win probability. Full 1X2 picture: IMT 17%, draw 23%, Red Star Belgrade 60%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

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

    Will both teams score?

    The probability of both teams scoring is 56% 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.