Serbian Super LeaguePartizans stadion, Belgrad19°14 km/h

    Läs på svenska
    Partizan BelgradePartizan BelgradePossession & high press
    vs
    VojvodinaVojvodinaPossession & high press
    The model's lean: 1 · Partizan Belgrade (49%)

    Partizan BelgradeVojvodina · Serbian Super League

    1 · Partizan Belgrade 49%X 27%24% Vojvodina · 2

    Analysis: Partizan BelgradeVojvodina

    Sofia Andersson · · The model's read on the match · How the predictions work

    In the recent head-to-head encounters between Partizan and Vojvodina, Partizan has a slight edge with two wins to Vojvodina's one, but this sample of six matches is too small to overshadow current form and metrics. Vojvodina enters this match with momentum, riding a wave of three consecutive victories. The visitors also lead in xPoints (13.0 to 9.3) and xG per match (2.1 to 1.5), indicating a stronger attacking performance so far this season. Despite trailing in the standings, Partizan's historical home win rate of 59% over 41 matches could play a crucial role.

    The most probable scorelines of 1-1, 2-1, and 1-0 reflect a closely contested match, with Partizan's slight model-favored win probability of 49% leaning towards a narrow victory or a draw. Both sides adopt a possession-based high press style, suggesting an evenly matched tactical battle. However, Partizan's xGA advantage of 1.2 over Vojvodina's 1.3 gives the hosts a marginal defensive edge, which may become decisive in a tight contest.

    With a 54% chance of over 2.5 goals and a 57% probability of both teams scoring, the data suggests goals may be on the cards. Yet, considering the betting markets, there's notable value in the under 2.5 goals line. The model values the under at 46%, while Betsafe, Betsson, and Nordicbet offer odds of 2.35, providing an 8% edge. Given the competitive nature of both teams and defensive solidity, leaning on this under 2.5 goals market could be a savvy play.

    This matchup promises to hinge on minute details where Partizan's minor defensive superiority might just tip the scales. But with the value on the under, the cautious bettor might find the most interest in wagering against the goal expectation.

    Partizan BelgradePartizan Belgrade
    Form LLLWL
    League ranking xG #5xGA #7xT #4xP/match #10Points #12
    Key players
    • Zubairu IbrahimLWxG 0.25 · xT -0.05
    • Aleks ZekovićCMxG 0.09 · xT 0.04
    • Demba SeckRWxG 0.30 · xT 0.24
    VojvodinaVojvodina
    Form WLWWW
    League ranking xG #3xGA #9xT #2xP/match #4Points #2
    Key players
    • Nardin MulahusejnovicFxG 0.87 · xT -0.02
    • Dragan KokanovićRWxG 0.30 · xT 0.08
    • Lazar RanđelovićRWxG 0.26 · xT 0.41

    Match prediction: Partizan BelgradeVojvodina

    Predicted score matrix

    Vojvodina
    Partizan Belgrade
    0
    1
    2
    3
    4+
    0
    0–06.2%
    0–16.6%
    0–24.1%
    0–31.6%
    0–4+0.6%
    1
    1–09.3%
    1–111.8%
    1–26.8%
    1–32.7%
    1–4+1.0%
    2
    2–08.0%
    2–19.5%
    2–25.6%
    2–32.2%
    2–4+0.9%
    3
    3–04.4%
    3–15.2%
    3–23.1%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.7%
    4+–13.2%
    4+–21.9%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,661,18
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.35EV+3%
    Over 2,554%
    @1.61

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Partizan Belgrade to win49%
    • Over 1.5 goals78%

    Combined probability

    39%

    Fair odds

    2.58

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

    02 · 3 legs

    Balanced

    • Partizan Belgrade to win49%
    • Over 2.5 goals54%
    • Bogdan Kostić 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 score57%
    • Over 2.5 goals54%
    • Bogdan Kostić to score26%
    • Njegoš Petrović 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Partizan Belgrade49% probability@2.50Bet365EV+23%reference odds
    • 1 · Partizan Belgrade49% probability@2.45Paddy PowerEV+20%reference odds
    • Under 2.546% probability@2.35BetsafeEV+8%reference odds
    Bookmaker1 · Partizan BelgradeX2 · Vojvodina
    Bet365
    EV+ 23%
    2.50
    3.602.50
    Betsafe
    EV+ 7%
    2.18
    3.452.80
    Betsson
    EV+ 7%
    2.18
    3.452.80
    Nordicbet
    EV+ 7%
    2.18
    3.452.80
    Paddy Power
    EV+ 20%
    2.45
    3.602.40
    Pinnacle
    EV+ 7%
    2.18
    3.522.84

    Odds updated 11 Sept, 14:28

    Odds movement

    1-1 %
    44 %39 %

    2.212.18

    X0 %
    29 %24 %

    3.523.52

    20 %
    35 %30 %

    2.832.84

    Pinnacle · 7 recorded price levels · 10/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Partizan Belgrade 2Draw 3Vojvodina 1
    Goals: 45 (⌀ 1,5)

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

    Key facts

    • FK Partizan Belgrade dominate this fixture historically: 2 wins to 1 in 6 meetings.
    • FK Vojvodina Novi Sad come into this round on 3 straight wins.
    • FK Partizan Belgrade win 59% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Partizan Belgrade
    Vojvodina
    When goals are scored and conceded 2026
    Partizan Belgrade (1112)
    Vojvodina (177)
    Pass networks

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

    Partizan Belgrade
    Stefan Milic: 258 passningar, xT 0.81MilicMilan Vukotić: 239 passningar, xT 1.36VukotićNikola Simić: 182 passningar, xT 0.69SimićMilan Roganović: 138 passningar, xT 0.61RoganovićSamson Nwulu: 113 passningar, xT 0.66NwuluIgor Miladinović: 109 passningar, xT 0.5MiladinovićMiloš Krunić: 98 passningar, xT 0.09KrunićVukašin Đurđević: 93 passningar, xT 0.33ĐurđevićStefan Mitrović: 84 passningar, xT 0.17MitrovićIddrisu Baba Mohammed: 76 passningar, xT 0.01MohammedMilan Aleksić: 75 passningar, xT 0.11Aleksić
    Vojvodina
    Kornél Szűcs: 222 passningar, xT 0.46SzűcsLazar Nikolić: 153 passningar, xT 0.58NikolićDejan Zukić: 145 passningar, xT 0.58ZukićErhan Mašović: 142 passningar, xT 0.29MašovićNjegoš Petrović: 137 passningar, xT 0.47PetrovićPetar Sukacev: 125 passningar, xT 1.1SukacevLazar Ranđelović: 117 passningar, xT 2.2RanđelovićDragan Rosić: 90 passningar, xT 0.08RosićĐorđe Crnomarković: 82 passningar, xT 0.2CrnomarkovićMilan Kolarević: 78 passningar, xT 1.58KolarevićDragan Kokanović: 71 passningar, xT 0.41Kokanović
    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.

    Partizan Belgrade
    Stefan Milic: 258 passningar, xT 0.81MilicMilan Vukotić: 239 passningar, xT 1.36VukotićNikola Simić: 182 passningar, xT 0.69SimićMilan Roganović: 138 passningar, xT 0.61RoganovićSamson Nwulu: 113 passningar, xT 0.66NwuluIgor Miladinović: 109 passningar, xT 0.5MiladinovićMiloš Krunić: 98 passningar, xT 0.09KrunićVukašin Đurđević: 93 passningar, xT 0.33ĐurđevićStefan Mitrović: 84 passningar, xT 0.17MitrovićIddrisu Baba Mohammed: 76 passningar, xT 0.01MohammedMilan Aleksić: 75 passningar, xT 0.11Aleksić
    Vojvodina
    Kornél Szűcs: 222 passningar, xT 0.46SzűcsLazar Nikolić: 153 passningar, xT 0.58NikolićDejan Zukić: 145 passningar, xT 0.58ZukićErhan Mašović: 142 passningar, xT 0.29MašovićNjegoš Petrović: 137 passningar, xT 0.47PetrovićPetar Sukacev: 125 passningar, xT 1.1SukacevLazar Ranđelović: 117 passningar, xT 2.2RanđelovićDragan Rosić: 90 passningar, xT 0.08RosićĐorđe Crnomarković: 82 passningar, xT 0.2CrnomarkovićMilan Kolarević: 78 passningar, xT 1.58KolarevićDragan Kokanović: 71 passningar, xT 0.41Kokanović

    The teams in numbers

    PerformancePartizan BelgradeVojvodina
    Points718
    xPoints9.313
    xG per match1.52.1
    xGA per match1.21.3
    xG within 8s of winning the ball0.140.72
    xGA within 8s of losing the ball0.170.54
    Playing stylePartizan BelgradeVojvodina
    Build-up efficiency0.30.3
    Field tilt0.70.62
    xT per match1.31.6
    xTA per match10.76
    Won balls, offensive half2828
    Pressing intensity0.20.21
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.310.26
    Entries into the box per match1615
    Entries into the box against1010
    Pass completion %0.780.75
    Pass completion % under pressure0.750.71
    Passes per match406320
    Passes against per match231266
    Switches of play per match35.920.7
    Long balls per match5031
    Set piecesPartizan BelgradeVojvodina
    xG from free kicks0.040.03
    Corners per match5.25.3
    Corners against per match2.44.5
    xG per corner0.020.01
    xGA per corner against0.040.01
    First touch, offensive corners %0.410.39
    First touch, defensive corners %0.590.69
    OtherPartizan BelgradeVojvodina
    Throw-in control0.710.65
    The goalkeepersMiloš Krunić (Partizan Belgrade)Dragan Rosić (Vojvodina)
    Saves1333
    Save %59%83%
    xG prevented28%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Partizan Belgrade vs Vojvodina according to our model?

    The model gives Partizan Belgrade a 49% win probability. Full 1X2 picture: Partizan Belgrade 49%, draw 27%, Vojvodina 24%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.