3. Liga11°6,0 mm24 km/h

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    Wurzburger KickersWurzburger KickersPossession control
    vs
    Hansa RostockHansa RostockPossession control
    The model's lean: 2 · Hansa Rostock (49%)Best value by the model: X · Draw @ 4.15 (+7 %)

    Wurzburger Kickers vs Hansa Rostock · 3. Liga

    1 · Wurzburger Kickers 26%X 26%49% Hansa Rostock · 2

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    Analysis: Wurzburger Kickers – Hansa Rostock

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

    TEXT: Hansa Rostock's recent form and statistical edge over Wurzburger Kickers suggest an upper hand in this 3. Liga clash. With a 49% probability of clinching victory, the visitors hold a distinct advantage over the hosts, whose chances sit at just 26%. Rostock’s lean in expected goals and points indicates a team better equipped for success, averaging 1.7 xG per match compared to Kickers' 1.4, and conceding less with 1.3 xGA to Kickers' 1.7. This defensive solidity could prove critical.

    The most probable scorelines further underscore Rostock's advantage, with a 1-1 or 1-2 outcome each holding a 10% likelihood. Kickers will need their possession-heavy style to disrupt a side that not only mirrors their strategic approach but executes it with greater efficiency. Both teams share a penchant for controlling the ball, but Rostock’s sharper execution translates into more tangible results. The edge in xPoints (11.5 vs. 10.2) reaffirms their robust form.

    Rainy weather, with 6.0 mm expected, might temper goal-scoring opportunities, yet the model still suggests a 62% chance for matches exceeding 2.5 goals, a nod to both teams’ offensive capabilities. Despite the expected precipitation, the numbers supporting a high-scoring affair are already factored into the model's calculations. The likelihood of both teams finding the net also stands at 62%, pointing to defenses likely to be tested.

    The predictive tilt favors an outcome where Rostock outmaneuvers their opponents, potentially edging out a narrow victory. A scoreline of 1-2 appears probable, aligning with the visitors' superior stats and current form. While not a certainty, it’s a calculated lean with empirical backing, rather than mere conjecture.

    Wurzburger KickersWurzburger Kickers
    Form LLLWL
    League ranking xG #11xGA #17xT #18xP/match #9Points #15
    Key players
    • Tarsis BongaFxG 0.38 · xT 0.14
    • David AbrangaoLBxG 0.02 · xT 0.17
    • Ivan FranjicLWxG 0.09 · xT 0.02
    Hansa RostockHansa Rostock
    Form WDLWD
    League ranking xG #7xGA #8xT #17xP/match #6Points #5
    Key players
    • Bernie LennemannRWxG 0.32 · xT 0.13
    • Maximilian KraussLWxG 0.14 · xT 0.07
    • Leon DajakuLWxG 0.14 · xT 0.24

    Match prediction: Wurzburger Kickers – Hansa Rostock

    Predicted score matrix

    Hansa Rostock →
    Wurzburger Kickers →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–17.6%
    0–27.5%
    0–34.8%
    0–4+3.5%
    1
    1–05.0%
    1–110.4%
    1–29.6%
    1–36.1%
    1–4+4.5%
    2
    2–03.4%
    2–16.5%
    2–26.1%
    2–33.9%
    2–4+2.9%
    3
    3–01.4%
    3–12.7%
    3–22.6%
    3–31.7%
    3–4+1.2%
    4+
    4+–00.6%
    4+–11.2%
    4+–21.1%
    4+–30.7%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-210%
    3. 3.0-18%
    4. 4.0-28%
    5. 5.2-16%
    Expected goals
    1,28–1,90
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.62EV+1%
    Over 2,562%
    @1.43

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hansa Rostock to win49%
    • Over 1.5 goals83%

    Combined probability

    44%

    Fair odds

    2.27

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

    02 · 3 legs

    Balanced

    • Hansa Rostock to win49%
    • Over 2.5 goals62%
    • Andreas Voglsammer to score23%

    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 score62%
    • Over 2.5 goals62%
    • Tarsis Bonga to score26%
    • Namrud Embaye to be booked26%

    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+).

    • X · Draw26% probability@4.15BetsafeEV+7%reference odds
    • X · Draw26% probability@4.15NordicbetEV+7%reference odds
    • 1 · Wurzburger Kickers26% probability@4.10BetsafeEV+6%reference odds
    Bookmaker1 · Wurzburger KickersX2 · Hansa Rostock
    Betfair Exchange1.121.131.12
    Betsafe
    EV+ 6%
    4.10
    EV+ 7%
    4.15
    1.65
    Nordicbet
    EV+ 6%
    4.10
    EV+ 7%
    4.15
    1.65

    Odds updated 2 Oct, 07:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Wurzburger Kickers
    Hansa Rostock
    When goals are scored and conceded — 2026
    Wurzburger Kickers (11–15)
    Hansa Rostock (15–15)
    Pass networks

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

    Wurzburger Kickers
    Daniel Hagele: 165 passningar, xT 0.28HageleEbrahim Farahnak: 130 passningar, xT 0.49FarahnakLiam Omore: 114 passningar, xT 0.5OmoreDavid Kinsombi: 105 passningar, xT 0.32KinsombiLeo Eberle: 94 passningar, xT 0.25EberleMarko Rajkovačić: 90 passningar, xT 0.17RajkovačićTarsis Bonga: 87 passningar, xT 0.64BongaNathan De Medina: 82 passningar, xT 0.1MedinaIvan Franjic: 74 passningar, xT 0.08FranjicJohann Hipper: 67 passningar, xT 0.15HipperLouis Breunig: 57 passningar, xT 0.17Breunig
    Hansa Rostock
    Florian Carstens: 225 passningar, xT 0.42CarstensLuca Unbehaun: 191 passningar, xT 0.29UnbehaunKenan Fatkic: 164 passningar, xT 0.46FatkicLukas Wallner: 137 passningar, xT 0.19WallnerFlorian Bohnert: 113 passningar, xT 0.25BohnertNiklas Kolle: 113 passningar, xT 0.77KolleMarco Schuster: 93 passningar, xT -0.03SchusterDavid Kopacz: 83 passningar, xT 0.03KopaczLeon Dajaku: 78 passningar, xT 0.66DajakuAhmet Gurleyen: 77 passningar, xT 0.08GurleyenJonas Dirkner: 65 passningar, xT 0.04Dirkner
    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.

    Wurzburger Kickers
    Daniel Hagele: 165 passningar, xT 0.28HageleEbrahim Farahnak: 130 passningar, xT 0.49FarahnakLiam Omore: 114 passningar, xT 0.5OmoreDavid Kinsombi: 105 passningar, xT 0.32KinsombiLeo Eberle: 94 passningar, xT 0.25EberleMarko Rajkovačić: 90 passningar, xT 0.17RajkovačićTarsis Bonga: 87 passningar, xT 0.64BongaNathan De Medina: 82 passningar, xT 0.1MedinaIvan Franjic: 74 passningar, xT 0.08FranjicJohann Hipper: 67 passningar, xT 0.15HipperLouis Breunig: 57 passningar, xT 0.17Breunig
    Hansa Rostock
    Florian Carstens: 225 passningar, xT 0.42CarstensLuca Unbehaun: 191 passningar, xT 0.29UnbehaunKenan Fatkic: 164 passningar, xT 0.46FatkicLukas Wallner: 137 passningar, xT 0.19WallnerFlorian Bohnert: 113 passningar, xT 0.25BohnertNiklas Kolle: 113 passningar, xT 0.77KolleMarco Schuster: 93 passningar, xT -0.03SchusterDavid Kopacz: 83 passningar, xT 0.03KopaczLeon Dajaku: 78 passningar, xT 0.66DajakuAhmet Gurleyen: 77 passningar, xT 0.08GurleyenJonas Dirkner: 65 passningar, xT 0.04Dirkner

    The teams in numbers

    PerformanceWurzburger KickersHansa Rostock
    Points712
    xPoints10.211.5
    xG per match1.41.7
    xGA per match1.71.3
    xG within 8s of winning the ball0.270.2
    xGA within 8s of losing the ball0.310.28
    Playing styleWurzburger KickersHansa Rostock
    Build-up efficiency0.370.28
    Field tilt0.390.44
    xT per match0.890.91
    xTA per match1.51.1
    Won balls, offensive half2323
    Pressing intensity0.220.22
    Pressing efficiency0.230.25
    Pressing efficiency, offensive half0.190.19
    Entries into the box per match911
    Entries into the box against1313
    Pass completion %0.710.73
    Pass completion % under pressure0.620.68
    Passes per match269307
    Passes against per match390391
    Switches of play per match15.421.3
    Long balls per match3237
    Set piecesWurzburger KickersHansa Rostock
    xG from free kicks0.060.01
    Corners per match3.25.1
    Corners against per match5.14.8
    xG per corner0.060.08
    xGA per corner against0.010.01
    First touch, offensive corners %0.350.53
    First touch, defensive corners %0.640.53
    OtherWurzburger KickersHansa Rostock
    Throw-in control0.730.79
    The goalkeepersMarko Rajkovačić (Wurzburger Kickers)Luca Unbehaun (Hansa Rostock)
    Saves1719
    Save %68%56%
    xG prevented53%33%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wurzburger Kickers vs Hansa Rostock according to our model?

    The model gives Hansa Rostock a 49% win probability. Full 1X2 picture: Wurzburger Kickers 26%, draw 26%, Hansa Rostock 49%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% 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 62% 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.