2. BundesligaMillerntor-Stadion, Hamburg7°12 km/h

    Läs på svenska
    St. PauliSt. PauliPossession & high press
    vs
    NürnbergNürnbergPossession control
    The model's lean: 1 · St. Pauli (40%)

    St. Pauli vs Nürnberg · 2. Bundesliga

    1 · St. Pauli 40%X 26%34% Nürnberg · 2

    Prediction summary

    BetBuilders AI model prediction for St. Pauli vs Nürnberg (2. Bundesliga, Saturday, 31 October 2026): St. Pauli win 40%, draw 26%, Nürnberg win 34%. Expected goals (xG): St. Pauli 1.52, Nürnberg 1.27. Most likely score: 1-1 (12%). Over 2.5 goals 53%, both teams to score 56%. Double chance: St. Pauli or draw 66%, Nürnberg or draw 60%. Prediction updated Friday, 23 October 2026.

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    Analysis: St. Pauli – Nürnberg

    Anna Karlsson · · A data-driven preview · How the predictions work

    Thirteen games unbeaten for Nürnberg against St. Pauli's five-game run without a loss sets the stage for a tense face-off. The visitors hold a points advantage—18 to the hosts' 11—but when diving into expected data, it's St. Pauli who slightly edges out on xPoints, 10.9 to 10.6. Though Nürnberg has been the more prolific in terms of expected goals per match (1.7 to St. Pauli's 1.2), their defense has been more porous, conceding an average of 1.5 xGA compared to St. Pauli's 1.1.

    St. Pauli's high press might unsettle Nürnberg's possession control, but the visitors have consistently found the net in 13 consecutive games. The model leans toward a St. Pauli win at 40%, but the scorelines suggest a tighter contest: the 1-1 draw is the most likely at 12%, with 1-0 and 2-1 to St. Pauli each at 9%. Both teams are likely to score (56% probability), with a slight lean over 2.5 goals at 53%.

    This matchup seems finely balanced, and for those eyeing value, the bookmakers offer an intriguing St. Pauli to win at odds that might just edge positive expected value, given the model's lean. However, with Nürnberg's impressive streak, a cautious nod to a 1-1 draw seems most prudent.

    St. PauliSt. Pauli
    Form DWDWD
    League ranking xG #16xGA #2xT #6xP/match #7Points #7
    Key players
    • Eric SmithCMxG 0.02 · xT 0.06
    • David NemethCBxG 0.08 · xT 0.08
    • Arkadiusz PyrkaRWBxG 0.01 · xT 0.19
    NürnbergNürnberg
    Form DWWDD
    League ranking xG #3xGA #10xT #2xP/match #11Points #2
    Key players
    • Mohamed Ali ZomaLWxG 0.56 · xT 0.17
    • Adam MarkhievCDMxG 0.10 · xT 0.12
    • Alexis KalogeropoulosCBxG 0.04 · xT 0.06

    Match prediction: St. Pauli – Nürnberg

    Predicted score matrix

    Nürnberg →
    St. Pauli →
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–17.5%
    0–25.0%
    0–32.1%
    0–4+0.9%
    1
    1–09.0%
    1–112.2%
    1–27.5%
    1–33.2%
    1–4+1.3%
    2
    2–07.1%
    2–19.0%
    2–25.7%
    2–32.4%
    2–4+1.0%
    3
    3–03.6%
    3–14.5%
    3–22.9%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.9%
    4+–12.4%
    4+–21.5%
    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. 2.1-09%
    3. 3.2-19%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,52–1,27
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    –
    Over 2,553%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance St. Pauli or draw (1X)69%
    • Over 1.5 goals77%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Double chance St. Pauli or draw (1X)69%
    • Over 2.5 goals53%
    • Louis Oppie to score18%

    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 score56%
    • Over 2.5 goals53%
    • Piet Lasse Scobel to score22%
    • Javier Fernandez Gonzalez 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

    No odds available yet.

    Statistics

    Key facts

    • FC St. Pauli are unbeaten in their last 5 league matches.
    • FC St. Pauli have scored in 8 consecutive league matches.
    • 1. FC Nurnberg are unbeaten in their last 13 league matches.
    • 1. FC Nurnberg have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    St. Pauli
    Nürnberg
    When goals are scored and conceded — 2026
    St. Pauli (11–9)
    Nürnberg (21–11)
    Pass networks

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

    St. Pauli
    Eric Smith: 282 passningar, xT 0.32SmithDavid Nemeth: 240 passningar, xT 0.36NemethArkadiusz Pyrka: 220 passningar, xT 0.84PyrkaMathias Knutsen Rasmussen: 157 passningar, xT 0.26RasmussenLouis Oppie: 154 passningar, xT 0.75OppieLars Ritzka: 147 passningar, xT 0.26RitzkaBen Alexander Voll: 114 passningar, xT 0.1VollJoel Chima Fujita: 103 passningar, xT 0.3FujitaMarcus Mathisen: 87 passningar, xT 0.12MathisenConnor Metcalfe: 83 passningar, xT 0.39MetcalfeTomoya Ando: 80 passningar, xT 0.06Ando
    Nürnberg
    Fynn Otto: 341 passningar, xT 0.4OttoAdam Markhiev: 287 passningar, xT 0.6MarkhievAlexis Kalogeropoulos: 279 passningar, xT 0.33KalogeropoulosJavier Fernandez Gonzalez: 245 passningar, xT 0.41GonzalezEric Porstner: 200 passningar, xT 0.87PorstnerTim Janisch: 193 passningar, xT 0.37JanischJan Reichert: 165 passningar, xT 0.1ReichertJulian Justvan: 112 passningar, xT 0.27JustvanFinn Becker: 79 passningar, xT 0.26BeckerMohamed Ali Zoma: 73 passningar, xT 0.72ZomaRayan Ghrieb: 40 passningar, xT 0.34Ghrieb
    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: 282 passningar, xT 0.32SmithDavid Nemeth: 240 passningar, xT 0.36NemethArkadiusz Pyrka: 220 passningar, xT 0.84PyrkaMathias Knutsen Rasmussen: 157 passningar, xT 0.26RasmussenLouis Oppie: 154 passningar, xT 0.75OppieLars Ritzka: 147 passningar, xT 0.26RitzkaBen Alexander Voll: 114 passningar, xT 0.1VollJoel Chima Fujita: 103 passningar, xT 0.3FujitaMarcus Mathisen: 87 passningar, xT 0.12MathisenConnor Metcalfe: 83 passningar, xT 0.39MetcalfeTomoya Ando: 80 passningar, xT 0.06Ando
    Nürnberg
    Fynn Otto: 341 passningar, xT 0.4OttoAdam Markhiev: 287 passningar, xT 0.6MarkhievAlexis Kalogeropoulos: 279 passningar, xT 0.33KalogeropoulosJavier Fernandez Gonzalez: 245 passningar, xT 0.41GonzalezEric Porstner: 200 passningar, xT 0.87PorstnerTim Janisch: 193 passningar, xT 0.37JanischJan Reichert: 165 passningar, xT 0.1ReichertJulian Justvan: 112 passningar, xT 0.27JustvanFinn Becker: 79 passningar, xT 0.26BeckerMohamed Ali Zoma: 73 passningar, xT 0.72ZomaRayan Ghrieb: 40 passningar, xT 0.34Ghrieb

    The teams in numbers

    PerformanceSt. PauliNürnberg
    Points1118
    xPoints10.910.6
    xG per match1.21.7
    xGA per match1.11.5
    xG within 8s of winning the ball0.210.38
    xGA within 8s of losing the ball0.110.16
    Playing styleSt. PauliNürnberg
    Build-up efficiency0.30.28
    Field tilt0.510.6
    xT per match1.11.2
    xTA per match0.920.82
    Won balls, offensive half2524
    Pressing intensity0.230.23
    Pressing efficiency0.260.35
    Pressing efficiency, offensive half0.220.29
    Entries into the box per match1316
    Entries into the box against1311
    Pass completion %0.760.8
    Pass completion % under pressure0.690.74
    Passes per match367417
    Passes against per match403289
    Switches of play per match1826.1
    Long balls per match2734
    Set piecesSt. PauliNürnberg
    xG from free kicks0.060
    Corners per match5.65.4
    Corners against per match55.1
    xG per corner0.040.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.490.53
    First touch, defensive corners %0.680.46
    OtherSt. PauliNürnberg
    Throw-in control0.750.7
    The goalkeepersBen Alexander Voll (St. Pauli)Jan Reichert (Nürnberg)
    Saves2623
    Save %79%68%
    xG prevented65%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives St. Pauli a 40% win probability. Full 1X2 picture: St. Pauli 40%, draw 26%, Nürnberg 34%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in St. Pauli vs Nürnberg?

    The model expects 1.52 goals (xG) for St. Pauli and 1.27 for Nürnberg, 2.79 in total.

    What does the model say about double chance?

    St. Pauli or draw (1X) 66%, Nürnberg or draw (X2) 60% and no draw (12) 74%.

    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.