2. BundesligaMillerntor-Stadion, Hamburg21°3,6 mm24 km/hUpdated

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    St. PauliSt. PauliLow block & direct
    vs
    The model's lean: 1 · St. Pauli (43%)
    Greuther FürthGreuther FürthPossession control

    St. PauliGreuther Fürth · 2. Bundesliga

    1 · St. Pauli 43%X 28%29% Greuther Fürth · 2
    St. PauliSt. Pauli
    Form WWLWW
    League ranking xG #4xGA #1xT #3xP/match #2Points #1
    Key players
    • Moussa SyllaFxG 0.46 · xT 0.09
    • Dejan LjubičićFxG 0.26 · xT 0.19
    • Adil AouchicheLWxG 0.23 · xT 0.32
    Greuther FürthGreuther Fürth
    Form WLDLW
    League ranking xG #15xGA #14xT #16xP/match #13Points #16
    Key players
    • Noel FutkeuFxG 0.46 · xT 0.01
    • Felix KlausRWxG 0.27 · xT 0.17
    • Jan ElvediCBxG 0.12 · xT 0.06

    Match prediction: St. PauliGreuther Fürth

    Predicted score matrix

    Greuther Fürth
    St. Pauli
    0
    1
    2
    3
    4+
    0
    0–08.4%
    0–18.7%
    0–25.1%
    0–31.9%
    0–4+0.7%
    1
    1–010.9%
    1–113.0%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.9%
    2–18.8%
    2–24.9%
    2–31.8%
    2–4+0.7%
    3
    3–03.7%
    3–14.1%
    3–22.3%
    3–30.9%
    3–4+0.3%
    4+
    4+–01.7%
    4+–11.9%
    4+–21.1%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.2-19%
    4. 4.0-19%
    5. 5.0-08%
    Expected goals
    1,401,12
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    Over 2,546%

    Odds & value

    The model's value spots

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

    • 2 · Greuther Fürth29% probability@3.81PinnacleEV+9%
    • X · Draw28% probability@3.84PinnacleEV+8%
    Bookmaker1 · St. PauliX2 · Greuther Fürth
    Pinnacle1.85
    EV+ 8%
    3.84
    EV+ 9%
    3.81

    Odds updated 4 Aug, 09:04

    Analysis: St. PauliGreuther Fürth

    Sofia Andersson · · How the predictions work

    Seventy points versus thirty-seven — that's the striking gulf in points that FC St. Pauli holds over SpVgg Greuther Furth. The numbers suggest a tale of two very different campaigns, and they have FC St. Pauli leading the charge with a defensive setup that’s tight yet direct. Their knack for grinding out results is underlined by their expected points (xPoints) tally of 55.9, significantly outpacing Greuther Furth's 43.7. This lends credibility to the model's inclination toward a St. Pauli victory, setting the tone for a home side that knows how to capitalize on its chances.

    FC St. Pauli's advantage is etched not just in points but in execution. They boast an expected goals (xG) per match of 1.6, with their opponents lagging at 1.3. The defensive metrics tell a similar story, with St. Pauli conceding just 1.1 xGA per game compared to Greuther Furth’s rather porous 1.7. Such figures suggest that while the visitors will likely focus on possession, they may struggle to pierce the hosts' sturdy back line.

    SpVgg Greuther Furth might fancy their chances of sneaking a result, especially with the bookies offering value at 3.81 odds for an away win with Pinnacle. There's also an 8% edge for a draw at odds of 3.84. These value bets are tempting, given the statistical model rates both outcomes with a reasonable probability—29% for the away win and 28% for the draw.

    The most probable scorelines of 1-1 at 13% and 1-0 at 11% are revealing. Despite being the favourites, St. Pauli might not run away with it. And with the weather set at a damp 21.3°C and 3.6 mm of rain, this could be a gritty affair. While the over 2.5 goals sits just shy of a coin flip at 46%, the 51% likelihood of both teams hitting the back of the net suggests a cagey yet competitive match.

    In the betting realm, the sharpest angle lies in the potential upset. Despite the statistical lean toward FC St. Pauli, the value on a Furth win at Pinnacle provides an intriguing shot for the bold punter, especially if you're banking on the unpredictable nature of football to tip the balance.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Greuther Fürth
    When goals are scored and conceded 2025
    Greuther Fürth (4968)
    Pass networks

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

    Greuther Fürth
    Jan Elvedi: 202 passningar, xT 0.3ElvediReno Munz: 192 passningar, xT 0.34MunzPhilipp Ziereis: 180 passningar, xT 0.09ZiereisSilas Joel Prufrock: 135 passningar, xT 0.27PrufrockJannik Dehm: 135 passningar, xT 0.43DehmFelix Klaus: 122 passningar, xT 1KlausPaul Will: 120 passningar, xT 0.13WillBranimir Hrgota: 109 passningar, xT 0.8HrgotaAaron Keller: 109 passningar, xT 0.4KellerMaximilian Dietz: 70 passningar, xT 0.07DietzSayfallah Ltaief: 64 passningar, xT 0.43Ltaief
    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.

    Greuther Fürth
    Jan Elvedi: 202 passningar, xT 0.3ElvediReno Munz: 192 passningar, xT 0.34MunzPhilipp Ziereis: 180 passningar, xT 0.09ZiereisSilas Joel Prufrock: 135 passningar, xT 0.27PrufrockJannik Dehm: 135 passningar, xT 0.43DehmFelix Klaus: 122 passningar, xT 1KlausPaul Will: 120 passningar, xT 0.13WillBranimir Hrgota: 109 passningar, xT 0.8HrgotaAaron Keller: 109 passningar, xT 0.4KellerMaximilian Dietz: 70 passningar, xT 0.07DietzSayfallah Ltaief: 64 passningar, xT 0.43Ltaief

    The teams in numbers

    PerformanceSt. PauliGreuther Fürth
    Points7037
    xPoints55.943.7
    xG per match1.61.3
    xGA per match1.11.7
    xG within 8s of winning the ball0.270.21
    xGA within 8s of losing the ball0.160.29
    Playing styleSt. PauliGreuther Fürth
    Build-up efficiency0.310.32
    Field tilt0.570.43
    xT per match1.10.77
    xTA per match0.721.1
    Won balls, offensive half3522
    Pressing intensity0.220.23
    Pressing efficiency0.330.28
    Pressing efficiency, offensive half0.390.33
    Entries into the box per match1511
    Entries into the box against1015
    Pass completion %0.690.76
    Pass completion % under pressure0.630.72
    Passes per match276333
    Passes against per match342372
    Switches of play per match16.319.7
    Long balls per match2528
    Set piecesSt. PauliGreuther Fürth
    xG from free kicks0.10.05
    Corners per match4.84.6
    Corners against per match4.55.6
    xG per corner0.080.05
    xGA per corner against0.060.08
    First touch, offensive corners %0.370.39
    First touch, defensive corners %0.650.57
    OtherSt. PauliGreuther Fürth
    Throw-in control0.730.71
    The goalkeepersSt. PauliSilas Joel Prufrock (Greuther Fürth)
    Saves43
    Save %71%
    xG prevented42%
    Claims0 (0%)

    Frequently asked questions

    Who wins St. Pauli vs Greuther Fürth according to our model?

    The model gives St. Pauli a 43% win probability. Full 1X2 picture: St. Pauli 43%, draw 28%, Greuther Fürth 29%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.