BundesligaMHPArena, Stuttgart15°19 km/h

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    StuttgartStuttgartLow block & direct
    vs
    Borussia DortmundBorussia DortmundPossession & high press
    The model's lean: 1 · Stuttgart (45%)Best value by the model: Under 2,5 @ 3.10 (+25 %)

    StuttgartBorussia Dortmund · Bundesliga

    1 · Stuttgart 45%X 24%30% Borussia Dortmund · 2

    Analysis: StuttgartBorussia Dortmund

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

    TEXT:

    VfB Stuttgart's low defence meets Borussia Dortmund's high press in Saturday's Bundesliga clash, creating a compelling tactical tension. Stuttgart's strategy of low defence and direct play will be tested against Dortmund's possession-heavy, aggressive pressing style. The home side, with a record of scoring in their last eight matches, will look to exploit any gaps left by Dortmund's forward-driven approach. Meanwhile, the visitors, buoyed by four consecutive wins, aim to impose their dominance on the ball.

    Model probabilities give Stuttgart a 45% chance of victory, suggesting the hosts hold a slight edge, despite Dortmund's superior xPoint tally of 3.7 to Stuttgart's 1.4. The expected goals lean towards Stuttgart at 1.66 over Dortmund's 1.42, hinting at a closely contested battle. However, the historical head-to-head is sparse, with only four meetings since 2022, and Stuttgart having a slight advantage of two wins to Dortmund's one, with one draw. This limited sample should be considered cautiously.

    The likelihood of over 2.5 goals sits at 60%, while both teams to score is priced at 62%, especially with Stuttgart's consistent scoring streak. However, the hosts' defensive vulnerabilities are stark, conceding an average of 2.9 xGA per match compared to Dortmund's 1.0. Stuttgart's historical home win rate of 57% from 35 matches suggests resilience, yet Dortmund's current form and their efficient pressing game could disrupt their rhythm.

    With a predicted scoreline leaning towards a 1-1 draw (11%) or Stuttgart edging it 2-1 (9%), the match's dynamics could tilt either way. Yet, the sharp betting angle might rest on Stuttgart's slight edge and direct playing style, especially if they capitalize on defensive lapses by Dortmund.

    StuttgartStuttgart
    Form DWDLW
    League ranking xG #13xGA #17xT #10xP/match #17Points #7
    Key players
    • Bilal El KhannoussFxG 0.28 · xT 0.48
    • Grischa PrömelFxG 0.27 · xT 0.04
    • Deniz UndavFxG 0.10 · xT 0.05
    Borussia DortmundBorussia Dortmund
    Form LWWWW
    League ranking xG #7xGA #5xT #8xP/match #5Points #2
    Key players
    • Serhou GuirassyFxG 0.45 · xT 0.06
    • Maximilian BeierLWxG 0.60 · xT 0.22
    • Felix NmechaCMxG 0.14 · xT 0.00

    Match prediction: StuttgartBorussia Dortmund

    Predicted score matrix

    Borussia Dortmund
    Stuttgart
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–16.2%
    0–24.6%
    0–32.2%
    0–4+1.1%
    1
    1–07.3%
    1–111.1%
    1–27.7%
    1–33.6%
    1–4+1.8%
    2
    2–06.3%
    2–19.0%
    2–26.4%
    2–33.0%
    2–4+1.5%
    3
    3–03.5%
    3–15.0%
    3–23.5%
    3–31.7%
    3–4+0.8%
    4+
    4+–02.1%
    4+–13.0%
    4+–22.1%
    4+–31.0%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.2-26%
    Expected goals
    1,661,42
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @3.10EV+25%
    Over 2,560%
    @1.38

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Stuttgart to win45%
    • Over 1.5 goals82%

    Combined probability

    36%

    Fair odds

    2.81

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

    02 · 3 legs

    Balanced

    • Stuttgart to win45%
    • Over 2.5 goals60%
    • Nikolas Terkelsen Nartey to score26%

    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 score62%
    • Over 2.5 goals60%
    • Fábio Daniel Soares Silva to score30%
    • Jobe Samuel Patrick Bellingham to be booked22%

    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 2.540% probability@3.10BetsafeEV+25%reference odds
    • Under 2.540% probability@3.10BetssonEV+25%reference odds
    • Under 2.540% probability@3.10NordicbetEV+25%reference odds
    Bookmaker1 · StuttgartX2 · Borussia Dortmund
    Betsafe
    EV+ 2%
    2.25
    3.802.78
    Betsson
    EV+ 2%
    2.25
    3.852.78
    Nordicbet
    EV+ 2%
    2.25
    3.802.78
    Pinnacle
    EV+ 4%
    2.29
    3.692.91

    Odds updated 11 Sept, 16:15

    Odds movement

    10 %
    44 %39 %

    2.282.29

    X0 %
    28 %23 %

    3.683.69

    20 %
    35 %30 %

    2.902.91

    Pinnacle · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Stuttgart 2Draw 1Borussia Dortmund 1
    Goals: 107 (⌀ 4,2)

    Head-to-head based on Bundesliga data since 2022.

    Key facts

    • VFB Stuttgart have scored in 8 consecutive league matches.
    • Borussia Dortmund come into this round on 4 straight wins.
    • VFB Stuttgart win 57% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Stuttgart
    Borussia Dortmund
    When goals are scored and conceded 2026
    Stuttgart (56)
    Borussia Dortmund (52)
    Pass networks

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

    Stuttgart
    Angelo Stiller: 110 passningar, xT 0.09StillerMaximilian Mittelstädt: 88 passningar, xT 0.63MittelstädtFinn Jeltsch: 83 passningar, xT 0.12JeltschJeff Chabot: 71 passningar, xT 0.06ChabotGrischa Prömel: 62 passningar, xT 0.07PrömelJosha Vagnoman: 61 passningar, xT 0.36VagnomanRamon Hendriks: 49 passningar, xT 0.15HendriksFabian Bredlow: 48 passningar, xT 0.07BredlowChris Fuhrich: 39 passningar, xT 0.11FuhrichBilal El Khannouss: 34 passningar, xT 0.47KhannoussDeniz Undav: 32 passningar, xT 0.06Undav
    Borussia Dortmund
    Waldemar Anton: 118 passningar, xT 0.13AntonJoane Kouakou Gadou: 99 passningar, xT 0.2GadouDaniel Svensson: 95 passningar, xT 0.15SvenssonJobe Bellingham: 69 passningar, xT 0.07BellinghamJulian Ryerson: 57 passningar, xT 1.09RyersonFelix Nmecha: 50 passningar, xT 0NmechaKonstantinos Karetsas: 48 passningar, xT 0.04KaretsasGregor Kobel: 44 passningar, xT 0.06KobelMaximilian Beier: 38 passningar, xT 0.01BeierSerhou Guirassy: 31 passningar, xT 0.1GuirassyFilippo Calixte Mané: 27 passningar, xT 0.04Mané
    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.

    Stuttgart
    Angelo Stiller: 110 passningar, xT 0.09StillerMaximilian Mittelstädt: 88 passningar, xT 0.63MittelstädtFinn Jeltsch: 83 passningar, xT 0.12JeltschJeff Chabot: 71 passningar, xT 0.06ChabotGrischa Prömel: 62 passningar, xT 0.07PrömelJosha Vagnoman: 61 passningar, xT 0.36VagnomanRamon Hendriks: 49 passningar, xT 0.15HendriksFabian Bredlow: 48 passningar, xT 0.07BredlowChris Fuhrich: 39 passningar, xT 0.11FuhrichBilal El Khannouss: 34 passningar, xT 0.47KhannoussDeniz Undav: 32 passningar, xT 0.06Undav
    Borussia Dortmund
    Waldemar Anton: 118 passningar, xT 0.13AntonJoane Kouakou Gadou: 99 passningar, xT 0.2GadouDaniel Svensson: 95 passningar, xT 0.15SvenssonJobe Bellingham: 69 passningar, xT 0.07BellinghamJulian Ryerson: 57 passningar, xT 1.09RyersonFelix Nmecha: 50 passningar, xT 0NmechaKonstantinos Karetsas: 48 passningar, xT 0.04KaretsasGregor Kobel: 44 passningar, xT 0.06KobelMaximilian Beier: 38 passningar, xT 0.01BeierSerhou Guirassy: 31 passningar, xT 0.1GuirassyFilippo Calixte Mané: 27 passningar, xT 0.04Mané

    The teams in numbers

    PerformanceStuttgartBorussia Dortmund
    Points36
    xPoints1.43.7
    xG per match1.61.9
    xGA per match2.91
    xG within 8s of winning the ball0.181
    xGA within 8s of losing the ball0.350.3
    Playing styleStuttgartBorussia Dortmund
    Build-up efficiency0.310.31
    Field tilt0.540.44
    xT per match1.21.4
    xTA per match1.30.95
    Won balls, offensive half2627
    Pressing intensity0.260.26
    Pressing efficiency0.260.31
    Pressing efficiency, offensive half0.230.31
    Entries into the box per match1614
    Entries into the box against1515
    Pass completion %0.770.77
    Pass completion % under pressure0.720.75
    Passes per match379366
    Passes against per match387377
    Switches of play per match23.817.3
    Long balls per match2826
    Set piecesStuttgartBorussia Dortmund
    xG from free kicks0.020.05
    Corners per match6.63
    Corners against per match8.65.4
    xG per corner0.050.02
    xGA per corner against0.060.01
    First touch, offensive corners %0.380.33
    First touch, defensive corners %0.710.73
    OtherStuttgartBorussia Dortmund
    Throw-in control0.770.64
    The goalkeepersFabian Bredlow (Stuttgart)Gregor Kobel (Borussia Dortmund)
    Saves87
    Save %62%78%
    xG prevented40%75%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Stuttgart vs Borussia Dortmund according to our model?

    The model gives Stuttgart a 45% win probability. Full 1X2 picture: Stuttgart 45%, draw 24%, Borussia Dortmund 30%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.