BundesligaAllianz Arena, München6°5 km/h

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    Bayern MünchenBayern MünchenPossession & high press
    vs
    Borussia DortmundBorussia DortmundPossession & high press
    The model's lean: 1 · Bayern München (72%)Best value by the model: Under 2,5 @ 4.63 (+18 %)

    Bayern München vs Borussia Dortmund · Bundesliga

    1 · Bayern München 72%X 17%11% Borussia Dortmund · 2

    Prediction summary

    BetBuilders AI model prediction for Bayern München vs Borussia Dortmund (Bundesliga, Saturday, 31 October 2026): Bayern München win 72%, draw 17%, Borussia Dortmund win 11%. Expected goals (xG): Bayern München 2.81, Borussia Dortmund 1.08. Most likely score: 2-1 (9%). Over 2.5 goals 75%, both teams to score 62%. Double chance: Bayern München or draw 89%, Borussia Dortmund or draw 28%. Prediction updated Friday, 23 October 2026.

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    Analysis: Bayern München – Borussia Dortmund

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

    Two giants collide as Bayern München host Borussia Dortmund, with the recent head-to-head record slightly favoring the Bavarians. In a small sample of four encounters since 2022, Bayern have taken two wins and two draws. Though Dortmund haven't tasted victory against their rivals in this period, their current eight-match unbeaten streak in the league hints at resilience. Yet, Bayern's intimidating 21-match unbeaten run paints a daunting picture for the visitors.

    The numbers suggest a clear edge for the home side. Bayern's expected goals per match dwarf Dortmund's—3.2 to 1.8—and they also boast superior defensive metrics with an expected goals against of 0.73 compared to Dortmund's 0.9. Both teams favor a possession-based, high-press style, which might lead to a chess match of sorts in midfield. Historically, Bayern have been a fortress at home, winning 84% of their matches in the league.

    Despite Bayern's dominance in the model probabilities, there's an air of caution regarding a runaway scoreline. The expected goals suggest a likely 2-1 or 3-1 finish. Meanwhile, the over 2.5 goals probability stands at a whopping 75%, reinforcing the idea of a high-scoring clash. Yet, the model surprisingly finds value in the under 3.5 market, with LeoVegas offering odds at 2.375, presenting an 8% edge.

    The sharpest angle here lies in the potential for a slightly cagey affair than the odds suggest. While Bayern remain the favorites, those looking for value should consider the under 3.5 goals market at LeoVegas. Given the high press and possession styles both teams employ, it might not be the goal-fest many expect.

    Bayern MünchenBayern München
    Form DWWDW
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Michael OliseRWxG 0.57 · xT 0.43
    • Min-jae KimCBxG 0.00 · xT 0.10
    • Konrad LaimerRBxG 0.13 · xT 0.09
    Borussia DortmundBorussia Dortmund
    Form WWWDD
    League ranking xG #7xGA #3xT #10xP/match #4Points #2
    Key players
    • Julian RyersonRWxG 0.00 · xT 0.49
    • Waldemar AntonCBxG 0.02 · xT 0.08
    • Nico SchlotterbeckCBxG 0.14 · xT 0.29

    Match prediction: Bayern München – Borussia Dortmund

    Predicted score matrix

    Borussia Dortmund →
    Bayern München →
    0
    1
    2
    3
    4+
    0
    0–02.2%
    0–12.0%
    0–21.2%
    0–30.4%
    0–4+0.1%
    1
    1–05.6%
    1–16.4%
    1–23.4%
    1–31.2%
    1–4+0.4%
    2
    2–08.1%
    2–18.7%
    2–24.7%
    2–31.7%
    2–4+0.6%
    3
    3–07.5%
    3–18.2%
    3–24.4%
    3–31.6%
    3–4+0.5%
    4+
    4+–010.5%
    4+–111.4%
    4+–26.2%
    4+–32.2%
    4+–4+0.8%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.3-18%
    3. 3.2-08%
    4. 4.3-08%
    5. 5.1-16%
    Expected goals
    2,81–1,08
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,9
    Under 2,525%
    @4.63EV+18%
    Over 2,575%
    @1.20

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Bayern München to win72%
    • Over 1.5 goals90%

    Combined probability

    67%

    Fair odds

    1.49

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

    02 · 3 legs

    Balanced

    • Bayern München to win72%
    • Over 2.5 goals75%
    • Harry Kane to score30%

    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 goals75%
    • Harry Kane to score30%
    • Waldemar Riptsov Anton 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 2.525% probability@4.63BetsafeEV+18%reference odds
    • Under 2.525% probability@4.63NordicbetEV+18%reference odds
    • Under 3.545% probability@2.54BetsafeEV+16%reference odds
    Bookmaker1 · Bayern MünchenX2 · Borussia Dortmund
    Betsafe1.31
    EV+ 1%
    5.85
    7.50
    LeoVegas1.35
    EV+ 4%
    6.00
    6.75
    Nordicbet1.31
    EV+ 1%
    5.85
    7.50

    Odds updated 23 Oct, 16:38

    Odds movement

    10 %
    72 %67 %

    1.35 → 1.35

    X0 %
    18 %13 %

    6.00 → 6.00

    20 %
    17 %12 %

    6.75 → 6.75

    LeoVegas · 9 recorded price levels · 23/10/2026 → 23/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Bayern München 2Draw 2Borussia Dortmund 0
    Goals: 8–6 (⌀ 3,5)

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

    Key facts

    • FC Bayern Munich are unbeaten in their last 21 league matches.
    • Borussia Dortmund are unbeaten in their last 8 league matches.
    • FC Bayern Munich win 84% of their home matches all-time (37 played).
    xG & xGA per match — 3-game rolling average

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

    Bayern München
    Borussia Dortmund
    When goals are scored and conceded — 2026
    Bayern München (22–5)
    Borussia Dortmund (11–4)
    Pass networks

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

    Bayern München
    Joshua Kimmich: 429 passningar, xT 1.57KimmichAleksandar Pavlovic: 406 passningar, xT 0.8PavlovicDayot Upamecano: 357 passningar, xT 0.69UpamecanoMichael Olise: 257 passningar, xT 1.39OliseJonathan Tah: 235 passningar, xT 0.34TahAlphonso Davies: 217 passningar, xT 0.32DaviesLuis Diaz: 191 passningar, xT 0.81DiazJosip Stanisic: 186 passningar, xT 0.57StanisicMin-jae Kim: 182 passningar, xT 0.27KimTom Bischof: 166 passningar, xT 0.36BischofKonrad Laimer: 129 passningar, xT 0.08Laimer
    Borussia Dortmund
    Waldemar Anton: 348 passningar, xT 0.3AntonJoane Kouakou Gadou: 322 passningar, xT 0.53GadouNico Schlotterbeck: 286 passningar, xT 0.96SchlotterbeckDaniel Svensson: 180 passningar, xT 0.25SvenssonFelix Nmecha: 163 passningar, xT 0.42NmechaJobe Bellingham: 147 passningar, xT -0.04BellinghamJulian Ryerson: 124 passningar, xT 2.05RyersonJoey Veerman: 120 passningar, xT 0.21VeermanGregor Kobel: 118 passningar, xT 0.18KobelEthan Chidiebere Nwaneri: 105 passningar, xT 0.39NwaneriMaximilian Beier: 95 passningar, xT 0.37Beier
    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.

    Bayern München
    Joshua Kimmich: 429 passningar, xT 1.57KimmichAleksandar Pavlovic: 406 passningar, xT 0.8PavlovicDayot Upamecano: 357 passningar, xT 0.69UpamecanoMichael Olise: 257 passningar, xT 1.39OliseJonathan Tah: 235 passningar, xT 0.34TahAlphonso Davies: 217 passningar, xT 0.32DaviesLuis Diaz: 191 passningar, xT 0.81DiazJosip Stanisic: 186 passningar, xT 0.57StanisicMin-jae Kim: 182 passningar, xT 0.27KimTom Bischof: 166 passningar, xT 0.36BischofKonrad Laimer: 129 passningar, xT 0.08Laimer
    Borussia Dortmund
    Waldemar Anton: 348 passningar, xT 0.3AntonJoane Kouakou Gadou: 322 passningar, xT 0.53GadouNico Schlotterbeck: 286 passningar, xT 0.96SchlotterbeckDaniel Svensson: 180 passningar, xT 0.25SvenssonFelix Nmecha: 163 passningar, xT 0.42NmechaJobe Bellingham: 147 passningar, xT -0.04BellinghamJulian Ryerson: 124 passningar, xT 2.05RyersonJoey Veerman: 120 passningar, xT 0.21VeermanGregor Kobel: 118 passningar, xT 0.18KobelEthan Chidiebere Nwaneri: 105 passningar, xT 0.39NwaneriMaximilian Beier: 95 passningar, xT 0.37Beier

    The teams in numbers

    PerformanceBayern MünchenBorussia Dortmund
    Points1414
    xPoints12.610.5
    xG per match3.21.8
    xGA per match0.730.9
    xG within 8s of winning the ball0.380.52
    xGA within 8s of losing the ball0.140.19
    Playing styleBayern MünchenBorussia Dortmund
    Build-up efficiency0.370.31
    Field tilt0.870.62
    xT per match21.3
    xTA per match0.50.82
    Won balls, offensive half3228
    Pressing intensity0.240.24
    Pressing efficiency0.330.32
    Pressing efficiency, offensive half0.320.3
    Entries into the box per match2514
    Entries into the box against511
    Pass completion %0.850.79
    Pass completion % under pressure0.790.74
    Passes per match632452
    Passes against per match241347
    Switches of play per match33.726.6
    Long balls per match3730
    Set piecesBayern MünchenBorussia Dortmund
    xG from free kicks0.040.07
    Corners per match9.64.8
    Corners against per match2.74.7
    xG per corner0.050.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.470.17
    First touch, defensive corners %0.750.71
    OtherBayern MünchenBorussia Dortmund
    Throw-in control0.810.73
    The goalkeepersManuel Neuer (Bayern München)Gregor Kobel (Borussia Dortmund)
    Saves914
    Save %75%78%
    xG prevented43%81%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bayern München vs Borussia Dortmund according to our model?

    The model gives Bayern München a 72% win probability. Full 1X2 picture: Bayern München 72%, draw 17%, Borussia Dortmund 11%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 75% and under at 25%.

    Will both teams score?

    The probability of both teams scoring is 62% according to the model.

    How many goals are expected in Bayern München vs Borussia Dortmund?

    The model expects 2.81 goals (xG) for Bayern München and 1.08 for Borussia Dortmund, 3.89 in total.

    What does the model say about double chance?

    Bayern München or draw (1X) 89%, Borussia Dortmund or draw (X2) 28% and no draw (12) 83%.

    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.