3. Liga23°13 km/hUpdated

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    HoffenheimHoffenheimPossession control
    vs
    The model's lean: 1 · Hoffenheim (63%)
    Hansa RostockHansa RostockPossession control

    HoffenheimHansa Rostock · 3. Liga

    1 · Hoffenheim 63%X 20%17% Hansa Rostock · 2
    HoffenheimHoffenheim
    League ranking xG #14xGA #16xT #14xP/match #16Points #16
    Key players
    • Ayoube Amaimouni-EchghouyabRWxG 0.39 · xT 0.16
    • Deniz ZeitlerLWxG 0.29 · xT 0.09
    • Luka DjuricCAMxG 0.27 · xT 0.15
    Hansa RostockHansa Rostock
    Form DLDWW
    League ranking xG #3xGA #4xT #6xP/match #9Points #5
    Key players
    • Ryan NaderiFxG 0.63 · xT 0.08
    • Andreas VoglsammerFxG 0.44 · xT 0.08
    • Emil Frost HoltenFxG 0.59 · xT 0.06

    Match prediction: HoffenheimHansa Rostock

    Predicted score matrix

    Hansa Rostock
    Hoffenheim
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–14.2%
    0–22.3%
    0–30.8%
    0–4+0.2%
    1
    1–08.9%
    1–19.6%
    1–24.8%
    1–31.6%
    1–4+0.5%
    2
    2–09.7%
    2–19.9%
    2–25.1%
    2–31.7%
    2–4+0.6%
    3
    3–06.8%
    3–17.0%
    3–23.6%
    3–31.2%
    3–4+0.4%
    4+
    4+–05.9%
    4+–16.1%
    4+–23.1%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-010%
    3. 3.1-110%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    2,121,02
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    Over 2,561%

    Odds & value

    The model's value spots

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

    • 1 · Hoffenheim63% probability@4.02PinnacleEV+153%
    • Under 3.561% probability@1.74PinnacleEV+7%
    Bookmaker1 · HoffenheimX2 · Hansa Rostock
    Pinnacle
    EV+ 153%
    4.02
    4.261.70

    Odds updated 4 Aug, 09:04

    Analysis: HoffenheimHansa Rostock

    Marcus Johansson · · How the predictions work

    TSG 1899 Hoffenheim II enter their clash with FC Hansa Rostock holding a strong 63% probability of victory, according to the model. Yet, the tension here is palpable; Hoffenheim II may be favoured, but they trail their opponents by a significant 24 points in the standings. Their xPoints, slightly more competitive, still favour Rostock at 54.5 to 47.7. So, can the model's numbers justify backing the underdogs?

    Despite Hoffenheim II's apparent inferiority in the league table, they boast a potent attacking setup with an xG of 1.5 per match. However, their defensive frailty, reflected in an xGA of 1.8, suggests vulnerabilities that a more clinical Hansa Rostock, with an xG of 1.8, could exploit. The model still leans towards a Hoffenheim II win, perhaps seeing value in their ability to control possession and dictate play. If the model's confidence translates on the pitch, a 2-1 or 2-0 win seems plausible.

    FC Hansa Rostock, riding on the strength of their superior points tally, won't be easy prey. Their robust defense, allowing just 1.3 xGA per match, could stifle Hoffenheim II's offensive aspirations. Rostock's possession-based style mirrors their opponents', setting the stage for a tactical chess match. Yet, with both sides favouring ball control, the question remains: will this lead to fireworks or a stalemate?

    61% odds suggest there will be over 2.5 goals, and both teams are likely to score, making this match ripe for goals. Yet, shrewd bettors might turn their eyes towards the under 3.5 goals market. Pinnacle offers odds of 1.735 on under 3.5, a tempting prospect given the model rates it at a 61% chance, offering a 7% edge. In a match where both teams' strengths and weaknesses align intriguingly, this could be the sharpest angle for value hunters.

    Hoffenheim II's odds of 4.02 with Pinnacle also present a stunning 153% edge according to the model. While FC Hansa Rostock's solid season gives them an edge in the standings and xPoints, the potential value of backing Hoffenheim II at these odds is a siren call to those daring enough to trust the model's bold prediction.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Hansa Rostock
    When goals are scored and conceded 2025
    Hansa Rostock (7449)
    Pass networks

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

    Hansa Rostock
    Marco Schuster: 185 passningar, xT 0.34SchusterAhmet Gurleyen: 162 passningar, xT 0.14GurleyenBenjamin Uphoff: 153 passningar, xT 0.36UphoffErik Viktor Bergh: 142 passningar, xT 0.26BerghFlorian Carstens: 142 passningar, xT 0.29CarstensLukas Wallner: 126 passningar, xT 0.23WallnerNico Neidhart: 104 passningar, xT 0.29NeidhartJonas Dirkner: 102 passningar, xT 0.48DirknerFranz Pfanne: 87 passningar, xT 0.09PfanneAdrien Lebeau: 83 passningar, xT 0.36LebeauLukas Kunze: 79 passningar, xT 0.11Kunze
    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.

    Hansa Rostock
    Marco Schuster: 185 passningar, xT 0.34SchusterAhmet Gurleyen: 162 passningar, xT 0.14GurleyenBenjamin Uphoff: 153 passningar, xT 0.36UphoffErik Viktor Bergh: 142 passningar, xT 0.26BerghFlorian Carstens: 142 passningar, xT 0.29CarstensLukas Wallner: 126 passningar, xT 0.23WallnerNico Neidhart: 104 passningar, xT 0.29NeidhartJonas Dirkner: 102 passningar, xT 0.48DirknerFranz Pfanne: 87 passningar, xT 0.09PfanneAdrien Lebeau: 83 passningar, xT 0.36LebeauLukas Kunze: 79 passningar, xT 0.11Kunze

    The teams in numbers

    PerformanceHoffenheimHansa Rostock
    Points4367
    xPoints47.754.5
    xG per match1.51.8
    xGA per match1.81.3
    xG within 8s of winning the ball0.160.32
    xGA within 8s of losing the ball0.260.22
    Playing styleHoffenheimHansa Rostock
    Build-up efficiency0.340.28
    Field tilt0.520.56
    xT per match11.1
    xTA per match1.30.85
    Won balls, offensive half2429
    Pressing intensity0.220.22
    Pressing efficiency0.320.33
    Pressing efficiency, offensive half0.370.36
    Entries into the box per match1214
    Entries into the box against1311
    Pass completion %0.780.76
    Pass completion % under pressure0.730.71
    Passes per match399377
    Passes against per match324284
    Switches of play per match23.318.8
    Long balls per match3430
    Set piecesHoffenheimHansa Rostock
    xG from free kicks0.080.09
    Corners per match4.16.1
    Corners against per match5.94.8
    xG per corner0.070.07
    xGA per corner against0.040.04
    First touch, offensive corners %0.410.48
    First touch, defensive corners %0.580.7
    OtherHoffenheimHansa Rostock
    Throw-in control0.740.74
    The goalkeepersHoffenheimBenjamin Uphoff (Hansa Rostock)
    Saves115
    Save %71%
    xG prevented43%
    Claims0 (0%)

    Frequently asked questions

    Who wins Hoffenheim vs Hansa Rostock according to our model?

    The model gives Hoffenheim a 63% win probability. Full 1X2 picture: Hoffenheim 63%, draw 20%, Hansa Rostock 17%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    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.

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