Bundesliga13°5,7 mm18 km/h

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    PaderbornPaderbornPossession control
    vs
    StuttgartStuttgartLow block & direct
    The model's lean: 2 · Stuttgart (46%)Best value by the model: 1 · Paderborn @ 4.85 (+48 %)

    Paderborn vs Stuttgart · Bundesliga

    1 · Paderborn 31%X 23%46% Stuttgart · 2

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    Analysis: Paderborn – Stuttgart

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

    TEXT: This small head-to-head sample offers scant insight into their current form, which suggests a more balanced affair. The hosts have a slight edge in both points and expected points, while Stuttgart's xG suggests a more potent attack.

    Paderborn's approach relies heavily on possession control, contrasting Stuttgart's defensive posture and direct play. The visitors, despite their low point tally, generate a promising xG of 1.5 per match compared to Paderborn's 0.88. This suggests Stuttgart’s offensive efforts could find some joy against a Paderborn side that allows an xGA of 1.6. Stuttgart's defensive frailties are apparent, with an xGA of 2.3, which should give Paderborn opportunities.

    Weather conditions add another layer, with 7.8 mm of rain expected, potentially hindering fluid attacking play and encouraging a more cautious approach. This is factored into the model's numbers, which still lean towards a high likelihood of both teams scoring and over 2.5 goals hitting at 64%.

    Value hunters should note the odds with LeoVegas. Paderborn at 4.7 offers a significant edge, while the draw at 4.6 presents a smaller, yet notable value. The more conservative angle, aligning with my proclivity towards steadiness over spectacle, is under 3.5 goals at odds of 1.769, carrying a modest 2% edge. Expect Stuttgart to edge a tight contest 1-2, but the under remains the safer financial play.

    PaderbornPaderborn
    Form DLLW
    League ranking xG #17xGA #9xT #17xP/match #13Points #12
    Key players
    • Laurin CurdaRWBxG 0.09 · xT 0.26
    • Mattes HansenCBxG 0.01 · xT 0.07
    • Raphael ObermairLWBxG 0.04 · xT 0.17
    StuttgartStuttgart
    Form DLWLL
    League ranking xG #12xGA #15xT #10xP/match #17Points #15
    Key players
    • Maximilian MittelstädtLWxG 0.07 · xT 0.33
    • Chris FuhrichLWxG 0.00 · xT 0.19
    • Ermedin DemirovićFxG 0.39 · xT 0.14

    Match prediction: Paderborn – Stuttgart

    Predicted score matrix

    Stuttgart →
    Paderborn →
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–16.7%
    0–26.6%
    0–34.2%
    0–4+3.1%
    1
    1–04.9%
    1–110.1%
    1–29.3%
    1–35.9%
    1–4+4.3%
    2
    2–03.6%
    2–16.9%
    2–26.5%
    2–34.1%
    2–4+3.0%
    3
    3–01.7%
    3–13.2%
    3–23.1%
    3–31.9%
    3–4+1.4%
    4+
    4+–00.8%
    4+–11.6%
    4+–21.5%
    4+–30.9%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.0-17%
    5. 5.0-27%
    Expected goals
    1,41–1,90
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.97EV+6%
    Over 2,564%
    @1.41

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Stuttgart to win46%
    • Over 1.5 goals85%

    Combined probability

    42%

    Fair odds

    2.38

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

    02 · 3 legs

    Balanced

    • Stuttgart to win46%
    • Over 2.5 goals64%
    • Nikolas Terkelsen Nartey to score29%

    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 score65%
    • Over 2.5 goals64%
    • Nikolas Terkelsen Nartey to score29%
    • Angelo Stiller to be booked21%

    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 · Paderborn31% probability@4.85BetsafeEV+48%reference odds
    • 1 · Paderborn31% probability@4.85NordicbetEV+48%reference odds
    • 1 · Paderborn31% probability@4.75LeoVegasEV+45%reference odds
    Bookmaker1 · PaderbornX2 · Stuttgart
    Betsafe
    EV+ 48%
    4.85
    EV+ 1%
    4.30
    1.60
    LeoVegas
    EV+ 45%
    4.75
    EV+ 8%
    4.60
    1.58
    Nordicbet
    EV+ 48%
    4.85
    EV+ 1%
    4.30
    1.60

    Odds updated 4 Oct, 15:36

    Odds movement

    1+1 %
    23 %18 %

    4.70 → 4.75

    X0 %
    23 %18 %

    4.60 → 4.60

    2-1 %
    62 %57 %

    1.60 → 1.58

    Over 2,50 %
    70 %65 %

    1.38 → 1.38

    LeoVegas · 7 recorded price levels · 02/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Paderborn
    Stuttgart
    When goals are scored and conceded — 2026
    Paderborn (3–5)
    Stuttgart (6–9)
    Pass networks

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

    Paderborn
    Mattes Hansen: 188 passningar, xT 0.25HansenTjark Scheller: 184 passningar, xT 0.05SchellerJano ter Horst: 154 passningar, xT 0.39HorstNahuel Nicolas Noll: 149 passningar, xT 0.27NollSantiago Castañeda: 140 passningar, xT 0.01CastañedaGabriel Vidović: 119 passningar, xT -0.12VidovićRaphael Obermair: 107 passningar, xT 0.59ObermairLaurin Curda: 99 passningar, xT 0.93CurdaLaurin Ulrich: 84 passningar, xT 0.04UlrichMarvin Pieringer: 62 passningar, xT 0.09PieringerStefano Marino: 40 passningar, xT 0.14Marino
    Stuttgart
    Angelo Stiller: 198 passningar, xT 0.19StillerMaximilian Mittelstädt: 198 passningar, xT 1.21MittelstädtFinn Jeltsch: 190 passningar, xT 0.2JeltschJeff Chabot: 158 passningar, xT 0.12ChabotJosha Vagnoman: 155 passningar, xT 0.7VagnomanGrischa Prömel: 136 passningar, xT 0.08PrömelFabian Bredlow: 120 passningar, xT 0.1BredlowChris Fuhrich: 96 passningar, xT 0.36FuhrichRamon Hendriks: 88 passningar, xT 0.2HendriksBilal El Khannouss: 75 passningar, xT 0.61KhannoussDženan Pejčinović: 55 passningar, xT 0.04Pejčinović
    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.

    Paderborn
    Mattes Hansen: 188 passningar, xT 0.25HansenTjark Scheller: 184 passningar, xT 0.05SchellerJano ter Horst: 154 passningar, xT 0.39HorstNahuel Nicolas Noll: 149 passningar, xT 0.27NollSantiago Castañeda: 140 passningar, xT 0.01CastañedaGabriel Vidović: 119 passningar, xT -0.12VidovićRaphael Obermair: 107 passningar, xT 0.59ObermairLaurin Curda: 99 passningar, xT 0.93CurdaLaurin Ulrich: 84 passningar, xT 0.04UlrichMarvin Pieringer: 62 passningar, xT 0.09PieringerStefano Marino: 40 passningar, xT 0.14Marino
    Stuttgart
    Angelo Stiller: 198 passningar, xT 0.19StillerMaximilian Mittelstädt: 198 passningar, xT 1.21MittelstädtFinn Jeltsch: 190 passningar, xT 0.2JeltschJeff Chabot: 158 passningar, xT 0.12ChabotJosha Vagnoman: 155 passningar, xT 0.7VagnomanGrischa Prömel: 136 passningar, xT 0.08PrömelFabian Bredlow: 120 passningar, xT 0.1BredlowChris Fuhrich: 96 passningar, xT 0.36FuhrichRamon Hendriks: 88 passningar, xT 0.2HendriksBilal El Khannouss: 75 passningar, xT 0.61KhannoussDženan Pejčinović: 55 passningar, xT 0.04Pejčinović

    The teams in numbers

    PerformancePaderbornStuttgart
    Points43
    xPoints4.63.3
    xG per match0.881.5
    xGA per match1.62.3
    xG within 8s of winning the ball0.130.11
    xGA within 8s of losing the ball0.260.49
    Playing stylePaderbornStuttgart
    Build-up efficiency0.320.31
    Field tilt0.370.5
    xT per match0.811.1
    xTA per match1.61.2
    Won balls, offensive half2823
    Pressing intensity0.260.25
    Pressing efficiency0.290.31
    Pressing efficiency, offensive half0.210.28
    Entries into the box per match914
    Entries into the box against2116
    Pass completion %0.740.77
    Pass completion % under pressure0.690.71
    Passes per match361411
    Passes against per match432349
    Switches of play per match21.123.4
    Long balls per match3028
    Set piecesPaderbornStuttgart
    xG from free kicks0.020.07
    Corners per match4.16.5
    Corners against per match6.86
    xG per corner0.020.05
    xGA per corner against0.010.06
    First touch, offensive corners %0.120.46
    First touch, defensive corners %0.70.58
    OtherPaderbornStuttgart
    Throw-in control0.840.77
    The goalkeepersNahuel Nicolas Noll (Paderborn)Fabian Bredlow (Stuttgart)
    Saves1415
    Save %74%65%
    xG prevented68%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Paderborn vs Stuttgart according to our model?

    The model gives Stuttgart a 46% win probability. Full 1X2 picture: Paderborn 31%, draw 23%, Stuttgart 46%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.