2. BundesligaMillerntor-Stadion, Hamburg19°5,4 mm22 km/h

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    St. PauliSt. PauliPossession & high press
    vs
    KaiserslauternKaiserslauternLow block & direct
    The model's lean: 1 · St. Pauli (39%)Best value by the model: Under 2,5 @ 2.25 (+20 %)

    St. PauliKaiserslautern · 2. Bundesliga

    1 · St. Pauli 39%X 31%31% Kaiserslautern · 2

    Analysis: St. PauliKaiserslautern

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

    A fascinating clash of styles awaits as St. Pauli, with their possession-heavy and high-press approach, face off against Kaiserslautern's more conservative, direct style. The model tips the hosts slightly with a 39% win probability, and there's a palpable tension in how these philosophies will counter each other. With rain expected, the weather is likely to dampen the tempo and goal-scoring opportunities; this has already been factored into the expected numbers.

    The draw and low-scoring outcomes are on the cards, with a 13% chance pegged to a 1-1 draw. St. Pauli has shown an xG average of 1.9 per match, yet they also concede an equal amount, suggesting vulnerability despite their attacking prowess. Kaiserslautern, meanwhile, boasts a tighter defense but struggles in attack, reflected in their mere 0.74 xG per match. The visitors' compact setup aims to frustrate, and their xGA of just 1.0 per game confirms their defensive discipline, crucial against St. Pauli's high-energy press.

    Despite the small sample size of head-to-head encounters, the form and expected goals tug the analysis towards a cautious affair. St. Pauli edges the xG metrics within eight seconds of transitions, both offensively and defensively, underscoring their potential in quick phases of play. However, Kaiserslautern's organized defense could stifle this advantage, especially with the forecast rain leveling the playing field.

    The sharpest angle here lies in the drawn battle of attrition. With both teams to score and the over 2.5 goals not strongly backed by the odds, a stalemate seems plausible. For those seeking value, the 1-0 win for St. Pauli at odds of 10% might just pay the bills, given their slight edge and home advantage. But keep an eye on the potential for a dampened, defensive struggle that might end up frustrating both sides.

    St. PauliSt. Pauli
    Form DD
    League ranking xG #4xGA #14xT #1xP/match #9Points #13
    Key players
    • Martijn KaarsFxG 0.42 · xT 0.26
    • David NemethRWxG 0.32 · xT 0.10
    • Taichi HaraFxG 0.48 · xT 0.02
    KaiserslauternKaiserslautern
    Form LWWDD
    League ranking xG #17xGA #5xT #17xP/match #10Points #14
    Key players
    • Naatan SkyttaRWxG 0.27 · xT 0.03
    • Semih SahinCMxG 0.02 · xT 0.03
    • Jan ElvediCBxG 0.06 · xT 0.15

    Match prediction: St. PauliKaiserslautern

    Predicted score matrix

    Kaiserslautern
    St. Pauli
    0
    1
    2
    3
    4+
    0
    0–08.3%
    0–19.3%
    0–25.9%
    0–32.4%
    0–4+1.0%
    1
    1–010.0%
    1–113.1%
    1–27.8%
    1–33.2%
    1–4+1.3%
    2
    2–06.9%
    2–18.4%
    2–25.1%
    2–32.1%
    2–4+0.8%
    3
    3–03.0%
    3–13.7%
    3–22.2%
    3–30.9%
    3–4+0.4%
    4+
    4+–01.3%
    4+–11.6%
    4+–21.0%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.0-08%
    Expected goals
    1,321,22
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,5
    Under 2,553%
    @2.25EV+20%
    Over 2,547%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance St. Pauli or draw (1X)66%
    • Under 3.5 goals75%

    Combined probability

    50%

    Fair odds

    2.01

    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)66%
    • Under 2.5 goals53%
    • Connor Isaac Metcalfe to score24%

    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 score52%
    • Over 2.5 goals47%
    • Connor Isaac Metcalfe to score24%
    • Fabian Kunze 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+).

    • Under 2.553% probability@2.25PinnacleEV+20%reference odds
    • 2 · Kaiserslautern31% probability@3.91PinnacleEV+19%reference odds
    • X · Draw31% probability@3.80PinnacleEV+17%reference odds
    Bookmaker1 · St. PauliX2 · Kaiserslautern
    Pinnacle1.88
    EV+ 17%
    3.80
    EV+ 19%
    3.91

    Odds updated 26 Aug, 05:16

    Odds movement

    1+5 %
    54 %49 %

    1.791.88

    X-3 %
    27 %22 %

    3.933.80

    2-6 %
    26 %21 %

    4.183.91

    Pinnacle · 5 recorded price levels · 22/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    St. Pauli
    Kaiserslautern
    When goals are scored and conceded 2026
    St. Pauli (33)
    Pass networks

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

    St. Pauli
    Marcus Mathisen: 118 passningar, xT 0.36MathisenDavid Nemeth: 98 passningar, xT 0.15NemethTomoya Ando: 84 passningar, xT 0.18AndoMathias Knutsen Rasmussen: 71 passningar, xT 0.35RasmussenJoel Chima Fujita: 58 passningar, xT 0.01FujitaArkadiusz Pyrka: 58 passningar, xT 0.58PyrkaLouis Oppie: 50 passningar, xT 0.37OppieBen Alexander Voll: 35 passningar, xT 0.06VollBranimir Hrgota: 31 passningar, xT 0.31HrgotaMartijn Kaars: 23 passningar, xT 0.08KaarsEric Smith: 19 passningar, xT 0.01Smith
    Kaiserslautern
    Jacob Vandsø Ryfeldt Rasmussen: 91 passningar, xT 0.38RasmussenJan Elvedi: 62 passningar, xT 0.32ElvediMaxwell Gyamfi: 55 passningar, xT 0.01GyamfiMika Haas: 55 passningar, xT 0.12HaasSemih Sahin: 53 passningar, xT 0.04SahinJulian Krahl: 52 passningar, xT 0.04KrahlFabian Kunze: 44 passningar, xT 0.02KunzeSimon Asta: 32 passningar, xT -0.03AstaNaatan Skytta: 25 passningar, xT 0.02SkyttaMarlon Maurice Ritter: 25 passningar, xT 0.16RitterMërgim Berisha: 21 passningar, xT -0.04Berisha
    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
    Marcus Mathisen: 118 passningar, xT 0.36MathisenDavid Nemeth: 98 passningar, xT 0.15NemethTomoya Ando: 84 passningar, xT 0.18AndoMathias Knutsen Rasmussen: 71 passningar, xT 0.35RasmussenJoel Chima Fujita: 58 passningar, xT 0.01FujitaArkadiusz Pyrka: 58 passningar, xT 0.58PyrkaLouis Oppie: 50 passningar, xT 0.37OppieBen Alexander Voll: 35 passningar, xT 0.06VollBranimir Hrgota: 31 passningar, xT 0.31HrgotaMartijn Kaars: 23 passningar, xT 0.08KaarsEric Smith: 19 passningar, xT 0.01Smith
    Kaiserslautern
    Jacob Vandsø Ryfeldt Rasmussen: 91 passningar, xT 0.38RasmussenJan Elvedi: 62 passningar, xT 0.32ElvediMaxwell Gyamfi: 55 passningar, xT 0.01GyamfiMika Haas: 55 passningar, xT 0.12HaasSemih Sahin: 53 passningar, xT 0.04SahinJulian Krahl: 52 passningar, xT 0.04KrahlFabian Kunze: 44 passningar, xT 0.02KunzeSimon Asta: 32 passningar, xT -0.03AstaNaatan Skytta: 25 passningar, xT 0.02SkyttaMarlon Maurice Ritter: 25 passningar, xT 0.16RitterMërgim Berisha: 21 passningar, xT -0.04Berisha

    The teams in numbers

    PerformanceSt. PauliKaiserslautern
    Points22
    xPoints2.72.7
    xG per match1.90.74
    xGA per match1.91
    xG within 8s of winning the ball0.320.17
    xGA within 8s of losing the ball0.150.27
    Playing styleSt. PauliKaiserslautern
    Build-up efficiency0.30.3
    Field tilt0.550.38
    xT per match1.60.54
    xTA per match1.31.1
    Won balls, offensive half2726
    Pressing intensity0.230.23
    Pressing efficiency0.230.25
    Pressing efficiency, offensive half0.190.33
    Entries into the box per match169
    Entries into the box against1311
    Pass completion %0.740.69
    Pass completion % under pressure0.70.64
    Passes per match342272
    Passes against per match406377
    Switches of play per match16.521.6
    Long balls per match2825
    Set piecesSt. PauliKaiserslautern
    xG from free kicks00.02
    Corners per match72.9
    Corners against per match3.59.8
    xG per corner0.070.03
    xGA per corner against0.050.02
    First touch, offensive corners %0.50.5
    First touch, defensive corners %0.570.8
    OtherSt. PauliKaiserslautern
    Throw-in control0.80.63
    The goalkeepersBen Alexander Voll (St. Pauli)Julian Krahl (Kaiserslautern)
    Saves1013
    Save %77%100%
    xG prevented50%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives St. Pauli a 39% win probability. Full 1X2 picture: St. Pauli 39%, draw 31%, Kaiserslautern 31%.

    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 47% and under at 53%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.