2. BundesligaMillerntor-Stadion, Hamburg10°0,3 mm22 km/h

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    St. PauliSt. PauliPossession & high press
    vs
    KarlsruheKarlsruhePossession control
    The model's lean: 1 · St. Pauli (53%)Best value by the model: Under 2,5 @ 2.62 (+19 %)

    St. Pauli vs Karlsruhe · 2. Bundesliga

    1 · St. Pauli 53%X 25%22% Karlsruhe · 2

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    Analysis: St. Pauli – Karlsruhe

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The head-to-head matchups offer a limited sample, but the numbers suggest a close contest between St. Pauli and Karlsruher SC. With the hosts given a 53% chance of victory by the model, they hold a slight edge. However, both teams' playing styles — St. Pauli's high press and Karlsruhe's possession control — indicate a tactical battle that could swing either way, with the visitors' more potent attack potentially offsetting their defensive vulnerabilities.

    St. Pauli's advantage in points so far this season (7 to Karlsruhe's 5) is tempered by xPoints, where Karlsruhe holds a narrow lead (8.6 to 8.3). This suggests the visitors have perhaps been unlucky or inefficient, but with a higher expected goals per match (1.6 to St. Pauli's 1.3), they could pose a significant threat. Conversely, the hosts' stronger defense, conceding fewer expected goals against (1.1 compared to Karlsruhe's 1.7), might provide a foundation for them to grind out a win.

    The expected goals figures forecast a match where the home side should generate more opportunities (1.81 to 1.06), yet the most likely scorelines — 1-1 (11%), 1-0 (10%), and 2-1 (10%) — paint a picture of a closely contested game. The weather's likely impact, with 8.7 mm of rain expected, could further dampen goal-scoring chances, influencing the already balanced model numbers towards a more defensive game.

    With the over 2.5 goals and both teams to score both at 55%, the market sees a slight lean towards a more open, higher-scoring game, even as the rainy conditions and St. Pauli's solid defense keep the contest competitive. If you're eyeing value, look at FanDuel's 1-0 St. Pauli correct score at attractive odds, a play that aligns with both defensive tendencies and expected weather impact.

    St. PauliSt. Pauli
    Form DLDWD
    League ranking xG #14xGA #1xT #5xP/match #11Points #11
    Key players
    • Arkadiusz PyrkaRWxG 0.01 · xT 0.22
    • Taichi HaraFxG 0.28 · xT 0.10
    • Abdoulie CeesayFxG 0.67 · xT -0.02
    KarlsruheKarlsruhe
    Form DLDLL
    League ranking xG #11xGA #12xT #17xP/match #6Points #14
    Key players
    • Moritz BroschinskiFxG 0.54 · xT -0.26
    • Marvin WanitzekCAMxG 0.20 · xT 0.21
    • Sebastian JungRWBxG 0.05 · xT 0.05

    Match prediction: St. Pauli – Karlsruhe

    Predicted score matrix

    Karlsruhe →
    St. Pauli →
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–15.7%
    0–23.2%
    0–31.1%
    0–4+0.4%
    1
    1–010.0%
    1–111.2%
    1–25.8%
    1–32.0%
    1–4+0.7%
    2
    2–09.3%
    2–19.8%
    2–25.2%
    2–31.8%
    2–4+0.6%
    3
    3–05.6%
    3–15.9%
    3–23.1%
    3–31.1%
    3–4+0.4%
    4+
    4+–03.8%
    4+–14.0%
    4+–22.1%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-06%
    Expected goals
    1,81–1,06
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.62EV+19%
    Over 2,555%
    @1.44

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • St. Pauli to win53%
    • Over 1.5 goals78%

    Combined probability

    45%

    Fair odds

    2.24

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

    02 · 3 legs

    Balanced

    • St. Pauli to win53%
    • Over 2.5 goals55%
    • Taichi Hara 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 score55%
    • Over 2.5 goals55%
    • Taichi Hara to score27%
    • Marcel Franke to be booked22%

    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+).

    • Under 2.545% probability@2.62BetsafeEV+19%reference odds
    • Under 2.545% probability@2.62NordicbetEV+19%reference odds
    • Under 2.545% probability@2.60LeoVegasEV+18%reference odds
    Bookmaker1 · St. PauliX2 · Karlsruhe
    Betsafe1.653.954.10
    LeoVegas1.674.004.10
    Nordicbet1.653.954.10
    Pinnacle1.71
    EV+ 8%
    4.31
    4.26

    Odds updated 4 Oct, 18:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    St. Pauli
    Karlsruhe
    When goals are scored and conceded — 2026
    St. Pauli (8–8)
    Karlsruhe (6–12)
    Pass networks

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

    St. Pauli
    Eric Smith: 211 passningar, xT 0.2SmithDavid Nemeth: 199 passningar, xT 0.39NemethArkadiusz Pyrka: 198 passningar, xT 0.77PyrkaMathias Knutsen Rasmussen: 174 passningar, xT 0.7RasmussenMarcus Mathisen: 150 passningar, xT 0.25MathisenTomoya Ando: 145 passningar, xT 0.13AndoLouis Oppie: 142 passningar, xT 0.59OppieBen Alexander Voll: 106 passningar, xT 0.19VollJoel Chima Fujita: 63 passningar, xT -0.06FujitaConnor Metcalfe: 60 passningar, xT 0.27MetcalfeLars Ritzka: 52 passningar, xT 0.13Ritzka
    Karlsruhe
    Marcel Franke: 184 passningar, xT 0.02FrankeMarvin Wanitzek: 176 passningar, xT 0.76WanitzekDeniz Emre Ofli: 163 passningar, xT 0.44OfliChristoph Kobald: 150 passningar, xT 0.08KobaldDanyal Zor: 143 passningar, xT 0.24ZorHans Christian Bernat: 121 passningar, xT 0.35BernatRafael Pinto Pedrosa: 85 passningar, xT 0.05PedrosaKevin Wiethaup: 67 passningar, xT 0.18WiethaupLilian Niclas Egloff: 59 passningar, xT 0.19EgloffSebastian Jung: 53 passningar, xT 0.02JungNoel Eichinger: 48 passningar, xT 0.13Eichinger
    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.

    St. Pauli
    Eric Smith: 211 passningar, xT 0.2SmithDavid Nemeth: 199 passningar, xT 0.39NemethArkadiusz Pyrka: 198 passningar, xT 0.77PyrkaMathias Knutsen Rasmussen: 174 passningar, xT 0.7RasmussenMarcus Mathisen: 150 passningar, xT 0.25MathisenTomoya Ando: 145 passningar, xT 0.13AndoLouis Oppie: 142 passningar, xT 0.59OppieBen Alexander Voll: 106 passningar, xT 0.19VollJoel Chima Fujita: 63 passningar, xT -0.06FujitaConnor Metcalfe: 60 passningar, xT 0.27MetcalfeLars Ritzka: 52 passningar, xT 0.13Ritzka
    Karlsruhe
    Marcel Franke: 184 passningar, xT 0.02FrankeMarvin Wanitzek: 176 passningar, xT 0.76WanitzekDeniz Emre Ofli: 163 passningar, xT 0.44OfliChristoph Kobald: 150 passningar, xT 0.08KobaldDanyal Zor: 143 passningar, xT 0.24ZorHans Christian Bernat: 121 passningar, xT 0.35BernatRafael Pinto Pedrosa: 85 passningar, xT 0.05PedrosaKevin Wiethaup: 67 passningar, xT 0.18WiethaupLilian Niclas Egloff: 59 passningar, xT 0.19EgloffSebastian Jung: 53 passningar, xT 0.02JungNoel Eichinger: 48 passningar, xT 0.13Eichinger

    The teams in numbers

    PerformanceSt. PauliKarlsruhe
    Points75
    xPoints8.38.6
    xG per match1.31.6
    xGA per match1.11.7
    xG within 8s of winning the ball0.180.48
    xGA within 8s of losing the ball0.120.23
    Playing styleSt. PauliKarlsruhe
    Build-up efficiency0.30.3
    Field tilt0.50.47
    xT per match1.20.74
    xTA per match0.921
    Won balls, offensive half2726
    Pressing intensity0.240.25
    Pressing efficiency0.260.28
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match1214
    Entries into the box against1314
    Pass completion %0.750.73
    Pass completion % under pressure0.70.69
    Passes per match358307
    Passes against per match422369
    Switches of play per match19.715.4
    Long balls per match2827
    Set piecesSt. PauliKarlsruhe
    xG from free kicks0.060.06
    Corners per match6.16.6
    Corners against per match4.75.1
    xG per corner0.050.02
    xGA per corner against0.030.09
    First touch, offensive corners %0.50.4
    First touch, defensive corners %0.640.32
    OtherSt. PauliKarlsruhe
    Throw-in control0.80.77
    The goalkeepersBen Alexander Voll (St. Pauli)Hans Christian Bernat (Karlsruhe)
    Saves1824
    Save %75%67%
    xG prevented59%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins St. Pauli vs Karlsruhe according to our model?

    The model gives St. Pauli a 53% win probability. Full 1X2 picture: St. Pauli 53%, draw 25%, Karlsruhe 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% 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 55% 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.