2. BundesligaSchücoArena, Bielefeld20°9,6 mm26 km/h

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    Arminia BielefeldArminia BielefeldPossession control
    22
    St. PauliSt. PauliPossession & high press
    The model's lean: 1 · Arminia Bielefeld (48%)

    Arminia BielefeldSt. Pauli · 2. Bundesliga

    1 · Arminia Bielefeld 48%X 26%26% St. Pauli · 2

    Analysis: Arminia BielefeldSt. Pauli

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The recent head-to-head numbers between Arminia Bielefeld and St. Pauli are scant, so we turn to current form and expected goals to guide us. The home side edges out in form with 3 points compared to St. Pauli's 2, and they are slightly favored by the model, with a 48% chance of winning. While small, this data hints that Bielefeld might have the upper hand, at least on paper.

    Digging deeper into the expected goals metrics, Bielefeld is projected at 1.66 xG compared to St. Pauli's 1.17 xG, suggesting that the hosts are likely to create more scoring opportunities. Yet, it's worth noting that the visitors possess a slightly higher xG per match this season at 1.7, indicating they have the capability to be dangerous, especially given their high press strategy. St. Pauli’s defensive metrics, however, show a vulnerability, with a slightly higher xGA than Bielefeld.

    The weather might dampen the attacking verve, with 4.7 mm of rain forecasted, potentially suppressing the goal tally. Nonetheless, the model still leans towards over 2.5 goals at a 54% likelihood, so it's not entirely a deterrent for goal seekers. Both teams to score is also pegged at 56%, underlining the attacking potential on both sides despite the conditions.

    From a betting perspective, the sharpest angle is on Bielefeld. The home win is available at odds of 2.22 with Betsafe, Betsson, and Nordicbet, offering a value bet with a 7% edge according to the model. This price seems to underestimate Bielefeld's win probability and presents an opportunity for bettors willing to back the hosts in this matchup.

    Arminia BielefeldArminia Bielefeld
    Form LWLWL
    League ranking xG #10xGA #6xT #7xP/match #11Points #12
    Key players
    • Joel GrodowskiFxG 0.67 · xT 0.17
    • Jannik RocheltLWxG 0.00 · xT 0.15
    • Stefano RussoCDMxG 0.10 · xT 0.03
    St. PauliSt. Pauli
    Form DDL
    League ranking xG #9xGA #8xT #2xP/match #9Points #16
    Key players
    • Martijn KaarsFxG 0.33 · xT 0.20
    • David NemethCBxG 0.21 · xT 0.10
    • Arkadiusz PyrkaRWxG 0.01 · xT 0.24
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Arminia Bielefeld 48% · Draw 26% · St. Pauli 26%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Arminia BielefeldBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,83fair 7,13-18 %
    Miss
    Matchresultat - FC St. PauliBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,84fair 14,30-52 %
    Miss

    Match prediction: Arminia BielefeldSt. Pauli

    Predicted score matrix

    St. Pauli
    Arminia Bielefeld
    0
    1
    2
    3
    4+
    0
    0–06.3%
    0–16.6%
    0–24.0%
    0–31.6%
    0–4+0.6%
    1
    1–09.5%
    1–111.8%
    1–26.7%
    1–32.6%
    1–4+1.0%
    2
    2–08.2%
    2–19.5%
    2–25.5%
    2–32.2%
    2–4+0.8%
    3
    3–04.5%
    3–15.3%
    3–23.1%
    3–31.2%
    3–4+0.4%
    4+
    4+–02.7%
    4+–13.2%
    4+–21.8%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,661,17
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.22EV+3%
    Over 2,554%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Arminia Bielefeld to win48%
    • Over 1.5 goals78%

    Combined probability

    39%

    Fair odds

    2.57

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

    02 · 3 legs

    Balanced

    • Arminia Bielefeld to win48%
    • Over 2.5 goals54%
    • Joel Grodowski 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 score56%
    • Over 2.5 goals54%
    • Joel Grodowski to score27%
    • Joel Chima Fujita to be booked23%

    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+).

    • 1 · Arminia Bielefeld48% probability@2.47PinnacleEV+19%reference odds
    • 1 · Arminia Bielefeld48% probability@2.32BetsafeEV+12%reference odds
    • 1 · Arminia Bielefeld48% probability@2.32BetssonEV+12%reference odds
    Bookmaker1 · Arminia BielefeldX2 · St. Pauli
    Betsafe
    EV+ 12%
    2.32
    3.402.72
    Betsson
    EV+ 12%
    2.32
    3.402.72
    Nordicbet
    EV+ 12%
    2.32
    3.402.72
    Pinnacle
    EV+ 19%
    2.47
    3.722.79

    Odds updated 4 Sept, 11:37

    Odds movement

    Market signal

    The market has moved clearly towards an St. Pauli win since 31 August — the odds have shortened from 3.28 to 2.79 (−15%).

    1+17 %
    47 %37 %

    2.112.47

    X+1 %
    31 %21 %

    3.703.72

    2-15 %
    37 %27 %

    3.282.79

    Pinnacle · 12 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Arminia Bielefeld
    St. Pauli
    When goals are scored and conceded 2026
    Arminia Bielefeld (56)
    St. Pauli (45)
    Pass networks

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

    Arminia Bielefeld
    Maximilian Bauer: 122 passningar, xT 0.11BauerHenri Koudossou: 107 passningar, xT 1.13KoudossouMaximilian Großer: 103 passningar, xT 0.03GroßerStefano Russo: 95 passningar, xT 0.11RussoJonas Kersken: 85 passningar, xT 0.09KerskenJannik Rochelt: 67 passningar, xT 0.38RocheltTim Handwerker: 53 passningar, xT 0.32HandwerkerMarius Wörl: 47 passningar, xT 0.03WörlArne Sicker: 39 passningar, xT 0.06SickerMarvin Mehlem: 36 passningar, xT 0.07MehlemJoel Grodowski: 32 passningar, xT 0.34Grodowski
    St. Pauli
    Marcus Mathisen: 157 passningar, xT 0.46MathisenDavid Nemeth: 148 passningar, xT 0.23NemethTomoya Ando: 127 passningar, xT 0.22AndoMathias Knutsen Rasmussen: 123 passningar, xT 0.44RasmussenArkadiusz Pyrka: 104 passningar, xT 0.63PyrkaLouis Oppie: 93 passningar, xT 0.63OppieEric Smith: 87 passningar, xT 0.07SmithJoel Chima Fujita: 58 passningar, xT 0.01FujitaBranimir Hrgota: 57 passningar, xT 0.52HrgotaBen Alexander Voll: 54 passningar, xT 0.16VollMartijn Kaars: 36 passningar, xT 0.08Kaars
    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.

    Arminia Bielefeld
    Maximilian Bauer: 122 passningar, xT 0.11BauerHenri Koudossou: 107 passningar, xT 1.13KoudossouMaximilian Großer: 103 passningar, xT 0.03GroßerStefano Russo: 95 passningar, xT 0.11RussoJonas Kersken: 85 passningar, xT 0.09KerskenJannik Rochelt: 67 passningar, xT 0.38RocheltTim Handwerker: 53 passningar, xT 0.32HandwerkerMarius Wörl: 47 passningar, xT 0.03WörlArne Sicker: 39 passningar, xT 0.06SickerMarvin Mehlem: 36 passningar, xT 0.07MehlemJoel Grodowski: 32 passningar, xT 0.34Grodowski
    St. Pauli
    Marcus Mathisen: 157 passningar, xT 0.46MathisenDavid Nemeth: 148 passningar, xT 0.23NemethTomoya Ando: 127 passningar, xT 0.22AndoMathias Knutsen Rasmussen: 123 passningar, xT 0.44RasmussenArkadiusz Pyrka: 104 passningar, xT 0.63PyrkaLouis Oppie: 93 passningar, xT 0.63OppieEric Smith: 87 passningar, xT 0.07SmithJoel Chima Fujita: 58 passningar, xT 0.01FujitaBranimir Hrgota: 57 passningar, xT 0.52HrgotaBen Alexander Voll: 54 passningar, xT 0.16VollMartijn Kaars: 36 passningar, xT 0.08Kaars

    The teams in numbers

    PerformanceArminia BielefeldSt. Pauli
    Points32
    xPoints4.14.1
    xG per match1.61.7
    xGA per match1.41.5
    xG within 8s of winning the ball0.340.21
    xGA within 8s of losing the ball0.330.12
    Playing styleArminia BielefeldSt. Pauli
    Build-up efficiency0.330.3
    Field tilt0.390.6
    xT per match1.11.5
    xTA per match0.711.1
    Won balls, offensive half2932
    Pressing intensity0.230.23
    Pressing efficiency0.260.25
    Pressing efficiency, offensive half0.240.19
    Entries into the box per match1215
    Entries into the box against1312
    Pass completion %0.710.75
    Pass completion % under pressure0.620.72
    Passes per match292375
    Passes against per match411366
    Switches of play per match35.818.8
    Long balls per match4031
    Set piecesArminia BielefeldSt. Pauli
    xG from free kicks0.020.07
    Corners per match76
    Corners against per match6.44
    xG per corner0.030.07
    xGA per corner against0.020.05
    First touch, offensive corners %0.520.44
    First touch, defensive corners %0.50.67
    OtherArminia BielefeldSt. Pauli
    Throw-in control0.760.8
    The goalkeepersJonas Kersken (Arminia Bielefeld)Ben Alexander Voll (St. Pauli)
    Saves712
    Save %54%71%
    xG prevented45%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Arminia Bielefeld vs St. Pauli according to our model?

    The model gives Arminia Bielefeld a 48% win probability. Full 1X2 picture: Arminia Bielefeld 48%, draw 26%, St. Pauli 26%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.