Serbian Super League27°10 km/h

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    IMTIMTCounter-attacks & crosses
    20
    Mladost LučaniMladost LučaniLow block & direct
    The model's lean: 1 · IMT (64%)Best value by the model: Over 3,5 @ 4.00 (+20 %)

    IMTMladost Lučani · Serbian Super League

    1 · IMT 64%X 23%13% Mladost Lučani · 2

    Analysis: IMTMladost Lučani

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    FAKTA'yı ihlal eden noktalar var. Düzeltilmiş metin:

    IMT's 64% chance of victory stands starkly against Mladost Lučani's unbeaten run of eight league games. Despite Mladost's historical edge in this fixture with two wins in five meetings, the sample size is too small to outweigh current form and expected goals data. IMT holds the upper hand with 2.03 expected goals against the visitors' 0.73, suggesting that the hosts' counter-attacking and crossing strategy could find success against Mladost's low defensive line.

    The 1-1 scoreline sits at a 10% likelihood, but the data leans heavily towards IMT securing a win, with 2-0 and 1-0 both pegged at 13%. This aligns with IMT's superior xG and xGA metrics, indicating they create more chances while also being more defensively robust compared to Mladost. The model's slight inclination towards over 2.5 goals at 52% suggests a cautious approach to the total, yet IMT's style may see them edge over the line with a couple of goals.

    Mladost's strategy, focusing on low defense and direct play, might make it tough for them to penetrate IMT's defenses. Despite their unbeaten streak, their performance metrics don't inspire confidence: a mediocre xG of 1.0 and a relatively high xGA of 1.3. In contrast, IMT's proactive playstyle, evidenced by 0.2 xG within 8 seconds of winning possession, could exploit Mladost's weaknesses.

    Therefore, a home win seems the most likely outcome. Both teams scoring sits at a 45% probability, indicating a reasonably even chance that Mladost could find the net despite IMT's favorable metrics. The sharpest angle here is a straight IMT win at a standout 64% probability.

    IMTIMT
    Form WWLDL
    League ranking xG #4xGA #3xT #7xP/match #3Points #3
    Key players
    • Charly Soualio KeitaFxG 0.46 · xT 0.05
    • Tadija CojicFxG 0.30 · xT 0.09
    • Vasilije NovičićCDMxG 0.26 · xT 0.07
    Mladost LučaniMladost Lučani
    Form DDDWW
    League ranking xG #11xGA #9xT #9xP/match #5Points #4
    Key players
    • Mihailo TodosijevićFxG 0.32 · xT 0.07
    • Vasil TašovskiRWxG 0.38 · xT -0.01
    • Aleksandar VarjačićRWBxG 0.06 · xT 0.18
    Final score
    20
    The model called the outcome
    Predicted probabilities: IMT 64% · Draw 23% · Mladost Lučani 13%

    Match prediction: IMTMladost Lučani

    Predicted score matrix

    Mladost Lučani
    IMT
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–14.3%
    0–21.7%
    0–30.4%
    0–4+0.1%
    1
    1–012.5%
    1–19.7%
    1–23.4%
    1–30.8%
    1–4+0.2%
    2
    2–013.0%
    2–19.5%
    2–23.5%
    2–30.9%
    2–4+0.2%
    3
    3–08.8%
    3–16.5%
    3–22.4%
    3–30.6%
    3–4+0.1%
    4+
    4+–07.1%
    4+–15.2%
    4+–21.9%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-013%
    2. 2.1-013%
    3. 3.1-110%
    4. 4.2-110%
    5. 5.3-09%
    Expected goals
    2,030,73
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @1.67
    Over 2,552%
    @2.25EV+18%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • IMT to win64%
    • Over 1.5 goals77%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • IMT to win64%
    • Over 2.5 goals52%
    • Charly Soualio Keita to score30%

    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 score45%
    • Over 2.5 goals52%
    • Charly Soualio Keita to score30%
    • Dušan Jovančić 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

    The model's value spots

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

    • Over 3.530% probability@4.00Bet365EV+20%reference odds
    • Over 3.530% probability@4.00Paddy PowerEV+20%reference odds
    • 1 · IMT64% probability@1.85Bet365EV+19%reference odds
    Bookmaker1 · IMTX2 · Mladost Lučani
    Bet365
    EV+ 19%
    1.85
    3.404.33
    Paddy Power
    EV+ 19%
    1.85
    3.304.00
    Pinnacle
    EV+ 3%
    1.61
    3.545.20

    Odds updated 30 Aug, 05:13

    Odds movement

    10 %
    59 %54 %

    1.611.61

    X0 %
    29 %24 %

    3.543.54

    2-1 %
    20 %15 %

    5.245.20

    Over 2,50 %
    46 %41 %

    2.122.13

    Pinnacle · 4 recorded price levels · 27/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    IMT 1Draw 2Mladost Lučani 2
    Goals: 66 (⌀ 2,4)

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

    Key facts

    • FK Mladost Lucani dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • FK Mladost Lucani are unbeaten in their last 8 league matches.
    xG & xGA per match — 3-game rolling average

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

    IMT
    Mladost Lučani
    When goals are scored and conceded 2026
    IMT (84)
    Mladost Lučani (74)
    Pass networks

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

    IMT
    Moussa Sissako: 238 passningar, xT 0.32SissakoStefan Šapić: 218 passningar, xT 0.28ŠapićVasilije Novičić: 212 passningar, xT 0.4NovičićIván Martos Campillo: 165 passningar, xT 0.61CampilloOgnjen Čančarević: 122 passningar, xT 0.26ČančarevićWendkuuni Josué Tiendrébéogo: 115 passningar, xT 0.25TiendrébéogoIsmael Casas Casado: 104 passningar, xT 0.24CasadoDušan Žagar: 63 passningar, xT 0.45ŽagarNikola Glišić: 62 passningar, xT 0.42GlišićLuka Luković: 59 passningar, xT 0.72LukovićVladimir Radočaj: 54 passningar, xT 0.66Radočaj
    Mladost Lučani
    Milan Joksimović: 167 passningar, xT 0.64JoksimovićDušan Jovančić: 148 passningar, xT 0.11JovančićNikola Andrić: 127 passningar, xT 0.25AndrićNikola Ćirković: 121 passningar, xT 0.14ĆirkovićŽarko Udovičić: 104 passningar, xT 1.04UdovičićAleksandar Varjačić: 101 passningar, xT 1.02VarjačićVeljko Kijevčanin: 95 passningar, xT 0.49KijevčaninSaša Stamenković: 81 passningar, xT 0.19StamenkovićVasil Tašovski: 48 passningar, xT -0.18TašovskiJovan Ćirić: 44 passningar, xT 0.46ĆirićJohn Mary Honi Uzuegbunam: 40 passningar, xT -0.09Uzuegbunam
    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: 238 passningar, xT 0.32SissakoStefan Šapić: 218 passningar, xT 0.28ŠapićVasilije Novičić: 212 passningar, xT 0.4NovičićIván Martos Campillo: 165 passningar, xT 0.61CampilloOgnjen Čančarević: 122 passningar, xT 0.26ČančarevićWendkuuni Josué Tiendrébéogo: 115 passningar, xT 0.25TiendrébéogoIsmael Casas Casado: 104 passningar, xT 0.24CasadoDušan Žagar: 63 passningar, xT 0.45ŽagarNikola Glišić: 62 passningar, xT 0.42GlišićLuka Luković: 59 passningar, xT 0.72LukovićVladimir Radočaj: 54 passningar, xT 0.66Radočaj
    Mladost Lučani
    Milan Joksimović: 167 passningar, xT 0.64JoksimovićDušan Jovančić: 148 passningar, xT 0.11JovančićNikola Andrić: 127 passningar, xT 0.25AndrićNikola Ćirković: 121 passningar, xT 0.14ĆirkovićŽarko Udovičić: 104 passningar, xT 1.04UdovičićAleksandar Varjačić: 101 passningar, xT 1.02VarjačićVeljko Kijevčanin: 95 passningar, xT 0.49KijevčaninSaša Stamenković: 81 passningar, xT 0.19StamenkovićVasil Tašovski: 48 passningar, xT -0.18TašovskiJovan Ćirić: 44 passningar, xT 0.46ĆirićJohn Mary Honi Uzuegbunam: 40 passningar, xT -0.09Uzuegbunam

    The teams in numbers

    PerformanceIMTMladost Lučani
    Points1010
    xPoints9.69.2
    xG per match1.51
    xGA per match0.961.3
    xG within 8s of winning the ball0.20.08
    xGA within 8s of losing the ball0.230.14
    Playing styleIMTMladost Lučani
    Build-up efficiency0.290.29
    Field tilt0.50.28
    xT per match1.10.88
    xTA per match0.721.5
    Won balls, offensive half2820
    Pressing intensity0.210.24
    Pressing efficiency0.360.22
    Pressing efficiency, offensive half0.330.19
    Entries into the box per match1211
    Entries into the box against1016
    Pass completion %0.720.67
    Pass completion % under pressure0.710.61
    Passes per match292230
    Passes against per match255452
    Switches of play per match16.312
    Long balls per match3125
    Set piecesIMTMladost Lučani
    xG from free kicks0.040.08
    Corners per match5.63.2
    Corners against per match45.8
    xG per corner0.030.04
    xGA per corner against0.010.02
    First touch, offensive corners %0.380.53
    First touch, defensive corners %0.580.65
    OtherIMTMladost Lučani
    Throw-in control0.720.66
    The goalkeepersOgnjen Čančarević (IMT)Saša Stamenković (Mladost Lučani)
    Saves1430
    Save %78%88%
    xG prevented53%89%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins IMT vs Mladost Lučani according to our model?

    The model gives IMT a 64% win probability. Full 1X2 picture: IMT 64%, draw 23%, Mladost Lučani 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.