Croatian HNL9°18 km/h

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    Lokomotiva ZagrebLokomotiva ZagrebCounter-attacks & crosses
    vs
    OsijekOsijekPossession control
    The model's lean: 2 · Osijek (39%)Best value by the model: Over 2,5 @ 1.81 (+0 %)

    Lokomotiva Zagreb vs Osijek · Croatian HNL

    1 · Lokomotiva Zagreb 33%X 28%39% Osijek · 2

    Prediction summary

    BetBuilders AI model prediction for Lokomotiva Zagreb vs Osijek (Croatian HNL, Sunday, 1 November 2026): Lokomotiva Zagreb win 33%, draw 28%, Osijek win 39%. Expected goals (xG): Lokomotiva Zagreb 1.28, Osijek 1.62. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 58%. Double chance: Lokomotiva Zagreb or draw 61%, Osijek or draw 67%. Prediction updated Friday, 23 October 2026.

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    Analysis: Lokomotiva Zagreb – Osijek

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

    Nine matches since 2023 have produced 2W, 4D and 3L for Lokomotiva Zagreb against Osijek. That is a narrow edge for the visitors, but the four draws are the first warning against making this a simple away-win case. The head-to-head adds texture, not certainty; current performance and chance creation carry more weight.

    The season numbers lean Osijek with more authority. They have 17 points to the hosts’ 11, while xPoints sit at 14.4 against 12.4. More importantly, the visitors produce 1.4 xG per match and concede 1.4 xGA; Lokomotiva are at 1.0 xG and 1.7 xGA. Possession control should give Osijek the territorial platform, while the hosts’ counter attacks and crosses offer their route into the game. That clash makes a clean sheet less convincing than the away side’s underlying edge.

    The model gives Lokomotiva 33%, the draw 28%, and Osijek 39%. That is not a runaway number, but it is a clear away lean. Expected goals are 1.28 for the hosts and 1.62 for the visitors, enough to put Over 2.5 goals at 55% and both teams to score at 58%. The single most likely scoreline is 1-1 at 12%, ahead of 1-2 at 9% and 0-1 at 9%. Read that correctly: the draw is the likeliest individual score, yet Osijek have the stronger aggregate path across the scoreline set.

    Lokomotiva can make this awkward if their transitions land early, but their 1.7 xGA leaves too much room for a controlled Osijek side to create repeat pressure. The analysis points to the visitors, with 1-2 the practical match call despite 1-1 being the model’s top exact score. Over 2.5 has the marginal totals lean, but Osijek are the sharper betting angle.

    Lokomotiva ZagrebLokomotiva Zagreb
    Form DLLWD
    League ranking xG #8xGA #8xT #9xP/match #7Points #8
    Key players
    • Marko PajačLWBxG 0.00 · xT 0.35
    • Marijan ČabrajaCBxG 0.00 · xT 0.32
    • Thanasis TriantafyllouCBxG 0.09 · xT 0.09
    OsijekOsijek
    Form WDLDL
    League ranking xG #4xGA #6xT #5xP/match #6Points #5
    Key players
    • Nail OmerovićLWxG 0.65 · xT 0.19
    • Luka JelenićCBxG 0.05 · xT 0.03
    • Roko JurišićLBxG 0.02 · xT 0.24

    Match prediction: Lokomotiva Zagreb – Osijek

    Predicted score matrix

    Osijek →
    Lokomotiva Zagreb →
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–18.6%
    0–27.2%
    0–33.9%
    0–4+2.3%
    1
    1–06.7%
    1–111.7%
    1–29.3%
    1–35.0%
    1–4+2.9%
    2
    2–04.5%
    2–17.3%
    2–25.9%
    2–33.2%
    2–4+1.9%
    3
    3–01.9%
    3–13.1%
    3–22.5%
    3–31.4%
    3–4+0.8%
    4+
    4+–00.8%
    4+–11.3%
    4+–21.1%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,28–1,62
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @1.97
    Over 2,555%
    @1.81EV+0%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Osijek or draw (X2)70%
    • Over 1.5 goals79%

    Combined probability

    56%

    Fair odds

    1.79

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

    02 · 3 legs

    Balanced

    • Double chance Osijek or draw (X2)70%
    • Over 2.5 goals55%
    • Armando Leon Resendez to score27%

    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 score58%
    • Over 2.5 goals55%
    • Armando Leon Resendez to score27%
    • Oleksandr Petrusenko to be booked25%

    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 2.555% probability@1.81PinnacleEV+0%reference odds
    Bookmaker1 · Lokomotiva ZagrebX2 · Osijek
    Betsafe2.723.202.45
    Nordicbet2.723.202.45
    Pinnacle2.753.292.49

    Odds updated 26 Oct, 05:59

    Statistics

    Head-to-head

    9 matches
    Lokomotiva Zagreb 2Draw 4Osijek 3
    Goals: 9–9 (⌀ 2)

    Head-to-head based on Croatian HNL data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Lokomotiva Zagreb
    Osijek
    When goals are scored and conceded — 2026
    Lokomotiva Zagreb (13–17)
    Osijek (19–16)
    Pass networks

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

    Lokomotiva Zagreb
    Thanasis Triantafyllou: 189 passningar, xT 0.66TriantafyllouJosip Posavec: 167 passningar, xT 0.14PosavecJakov Gurlica: 142 passningar, xT 0.37GurlicaFran Karačić: 137 passningar, xT 0.57KaračićKristijan Cabrajic: 125 passningar, xT 0.45CabrajicLeon Belcar: 113 passningar, xT 0.32BelcarFeta Fetai: 101 passningar, xT -0.06FetaiMarijan Čabraja: 94 passningar, xT 0.5ČabrajaIvan Katić: 76 passningar, xT 0.2KatićDušan Vuković: 61 passningar, xT 0.43VukovićMatija Subotić: 54 passningar, xT 0.15Subotić
    Osijek
    Izak Ježić: 240 passningar, xT 0.18JežićJay Kruiver: 203 passningar, xT 0.66KruiverMarko Malenica: 172 passningar, xT 0.25MalenicaLuka Vrbančić: 165 passningar, xT 0.27VrbančićMarcel Heister: 151 passningar, xT 0.23HeisterLuka Jelenić: 137 passningar, xT 0.08JelenićIvano Kolarik: 103 passningar, xT 0.11KolarikDomagoj Bukvić: 88 passningar, xT 0.73BukvićLuka Tunjić: 81 passningar, xT 0.18TunjićOleksandr Petrusenko: 75 passningar, xT 0PetrusenkoIvan Dolček: 68 passningar, xT 0.49Dolček
    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.

    Lokomotiva Zagreb
    Thanasis Triantafyllou: 189 passningar, xT 0.66TriantafyllouJosip Posavec: 167 passningar, xT 0.14PosavecJakov Gurlica: 142 passningar, xT 0.37GurlicaFran Karačić: 137 passningar, xT 0.57KaračićKristijan Cabrajic: 125 passningar, xT 0.45CabrajicLeon Belcar: 113 passningar, xT 0.32BelcarFeta Fetai: 101 passningar, xT -0.06FetaiMarijan Čabraja: 94 passningar, xT 0.5ČabrajaIvan Katić: 76 passningar, xT 0.2KatićDušan Vuković: 61 passningar, xT 0.43VukovićMatija Subotić: 54 passningar, xT 0.15Subotić
    Osijek
    Izak Ježić: 240 passningar, xT 0.18JežićJay Kruiver: 203 passningar, xT 0.66KruiverMarko Malenica: 172 passningar, xT 0.25MalenicaLuka Vrbančić: 165 passningar, xT 0.27VrbančićMarcel Heister: 151 passningar, xT 0.23HeisterLuka Jelenić: 137 passningar, xT 0.08JelenićIvano Kolarik: 103 passningar, xT 0.11KolarikDomagoj Bukvić: 88 passningar, xT 0.73BukvićLuka Tunjić: 81 passningar, xT 0.18TunjićOleksandr Petrusenko: 75 passningar, xT 0PetrusenkoIvan Dolček: 68 passningar, xT 0.49Dolček

    The teams in numbers

    PerformanceLokomotiva ZagrebOsijek
    Points1117
    xPoints12.414.4
    xG per match11.4
    xGA per match1.71.4
    xG within 8s of winning the ball0.140.26
    xGA within 8s of losing the ball0.320.18
    Playing styleLokomotiva ZagrebOsijek
    Build-up efficiency0.290.3
    Field tilt0.350.55
    xT per match0.811
    xTA per match1.40.93
    Won balls, offensive half2224
    Pressing intensity0.230.23
    Pressing efficiency0.290.35
    Pressing efficiency, offensive half0.260.29
    Entries into the box per match912
    Entries into the box against1811
    Pass completion %0.710.77
    Pass completion % under pressure0.670.7
    Passes per match275369
    Passes against per match374262
    Switches of play per match29.234.2
    Long balls per match3836
    Set piecesLokomotiva ZagrebOsijek
    xG from free kicks0.020.03
    Corners per match4.75.6
    Corners against per match74.3
    xG per corner0.040.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.510.58
    First touch, defensive corners %0.580.52
    OtherLokomotiva ZagrebOsijek
    Throw-in control0.650.72
    The goalkeepersJosip Posavec (Lokomotiva Zagreb)Marko Malenica (Osijek)
    Saves4931
    Save %74%71%
    xG prevented49%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lokomotiva Zagreb vs Osijek according to our model?

    The model gives Osijek a 39% win probability. Full 1X2 picture: Lokomotiva Zagreb 33%, draw 28%, Osijek 39%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in Lokomotiva Zagreb vs Osijek?

    The model expects 1.28 goals (xG) for Lokomotiva Zagreb and 1.62 for Osijek, 2.90 in total.

    What does the model say about double chance?

    Lokomotiva Zagreb or draw (1X) 61%, Osijek or draw (X2) 67% and no draw (12) 72%.

    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.