BundesligaWWK Arena, Augsburg12°21,9 mm22 km/h

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    AugsburgAugsburgCounter-attacks & crosses
    vs
    Bayern MünchenBayern MünchenPossession & high press
    The model's lean: 2 · Bayern München (78%)Best value by the model: Under 2,5 @ 5.07 (+30 %)

    Augsburg vs Bayern München · Bundesliga

    1 · Augsburg 8%X 14%78% Bayern München · 2

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    Analysis: Augsburg – Bayern München

    Sofia Andersson · · The model's read on the match · How the predictions work

    Augsburg's defensive vulnerability could be glaring against a team like Bayern München, who boasts an unbeaten streak of 19 league matches. The hosts rely heavily on counterattacks and crosses, a strategy that may struggle against Bayern's high press and possession dominance. The visitors' expected goals (xG) stand at an impressive 2.88 per match, suggesting they'll likely find the net multiple times.

    Augsburg's head-to-head record against Bayern is modest, with just one win in their last four encounters since 2022. However, this small sample size shouldn't overshadow Bayern's current form, which is far more telling of their potential to dominate the match. The numbers suggest a probable scoreline of 0-2 or 1-2, with Augsburg struggling to keep Bayern at bay.

    Despite the offensive clout of the visitors, the weather might play a subtle role here. Forecasted rain could dampen Bayern's attacking fluidity, already factored into the model's expected goals. Meanwhile, Augsburg will hope to exploit any rare chances on the break, with a 60% chance for both teams to score.

    Bookmakers seem to underestimate the likelihood of goals falling short of a high total. The value lies in betting on under 3.5 goals at odds of 2.75 with LeoVegas, offering a significant 26% edge based on the model's 46% rating. Although the over 2.5 goals market is priced at 74%, the rain and Augsburg's potential resistance could turn this into a tighter affair than the odds suggest.

    Another intriguing angle is the draw, priced at 7.5 with LeoVegas, carrying a 5% edge. While Bayern's dominance is clear, Augsburg could snatch a point if the visitors are less clinical under challenging conditions. However, the most rational play remains focused on the unders, where the numbers show real betting value.

    AugsburgAugsburg
    Form LWWDL
    League ranking xG #8xGA #11xT #6xP/match #8Points #4
    Key players
    • Michael GregoritschFxG 0.53 · xT 0.01
    • Arijon IbrahimovicFxG 0.47 · xT 0.15
    • Fabian RiederCMxG 0.06 · xT 0.12
    Bayern MünchenBayern München
    Form WWDWW
    League ranking xG #1xGA #1xT #3xP/match #1Points #3
    Key players
    • Michael OliseRWxG 0.48 · xT 0.46
    • Jonathan TahCMxG 0.15 · xT 0.14
    • Konrad LaimerRBxG 0.10 · xT 0.07

    Match prediction: Augsburg – Bayern München

    Predicted score matrix

    Bayern München →
    Augsburg →
    0
    1
    2
    3
    4+
    0
    0–02.2%
    0–15.8%
    0–28.6%
    0–38.2%
    0–4+12.0%
    1
    1–01.9%
    1–16.1%
    1–28.6%
    1–38.2%
    1–4+12.0%
    2
    2–01.0%
    2–13.0%
    2–24.3%
    2–34.1%
    2–4+6.0%
    3
    3–00.3%
    3–11.0%
    3–21.4%
    3–31.4%
    3–4+2.0%
    4+
    4+–00.1%
    4+–10.3%
    4+–20.4%
    4+–30.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-29%
    2. 2.1-29%
    3. 3.0-38%
    4. 4.1-38%
    5. 5.1-16%
    Expected goals
    1,00–2,88
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,9
    Under 2,526%
    @5.07EV+30%
    Over 2,574%
    @1.18

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Bayern München to win78%
    • Over 1.5 goals90%

    Combined probability

    70%

    Fair odds

    1.44

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

    02 · 3 legs

    Balanced

    • Bayern München to win78%
    • Over 2.5 goals74%
    • Nicolas Jackson 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 score60%
    • Over 2.5 goals74%
    • Nicolas Jackson to score27%
    • Fabian Rieder 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 2.526% probability@5.07BetsafeEV+30%reference odds
    • Under 2.526% probability@5.07NordicbetEV+30%reference odds
    • Under 3.546% probability@2.84BetsafeEV+30%reference odds
    Bookmaker1 · AugsburgX2 · Bayern München
    Betsafe12.006.501.20
    LeoVegas9.50
    EV+ 5%
    7.50
    1.21
    Nordicbet12.006.501.20

    Odds updated 4 Oct, 18:36

    Odds movement

    1+6 %
    12 %7 %

    9.00 → 9.50

    X0 %
    15 %10 %

    7.50 → 7.50

    2-1 %
    80 %75 %

    1.22 → 1.21

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

    Statistics

    Head-to-head

    4 matches
    Augsburg 1Draw 0Bayern München 3
    Goals: 5–10 (⌀ 3,8)

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

    Key facts

    • FC Bayern Munich are unbeaten in their last 19 league matches.
    xG & xGA per match — 3-game rolling average

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

    Augsburg
    Bayern München
    When goals are scored and conceded — 2026
    Augsburg (11–6)
    Bayern München (14–2)
    Pass networks

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

    Augsburg
    Chrislain Matsima: 158 passningar, xT 0.03MatsimaNoahkai Banks: 150 passningar, xT 0.33BanksCalvin Marc Brackelmann: 137 passningar, xT 0.27BrackelmannFabian Rieder: 114 passningar, xT 0.42RiederFinn Dahmen: 113 passningar, xT 0.04DahmenHennes Behrens: 106 passningar, xT 0.51BehrensHan-Noah Massengo: 93 passningar, xT 0.13MassengoMarius Wolf: 76 passningar, xT 1.27WolfRobin Fellhauer: 48 passningar, xT 0.42FellhauerMichael Gregoritsch: 41 passningar, xT 0.03GregoritschAlexis Claude-Maurice: 25 passningar, xT 0.23Claude-Maurice
    Bayern München
    Aleksandar Pavlovic: 316 passningar, xT 0.52PavlovicJoshua Kimmich: 300 passningar, xT 0.89KimmichDayot Upamecano: 285 passningar, xT 0.57UpamecanoAlphonso Davies: 199 passningar, xT 0.63DaviesMichael Olise: 191 passningar, xT 1.19OliseJonathan Tah: 190 passningar, xT 0.32TahLuis Diaz: 155 passningar, xT 0.1DiazMin-jae Kim: 151 passningar, xT 0.28KimTom Bischof: 143 passningar, xT 0.38BischofJosip Stanisic: 132 passningar, xT 0.1StanisicKonrad Laimer: 122 passningar, xT 0.11Laimer
    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.

    Augsburg
    Chrislain Matsima: 158 passningar, xT 0.03MatsimaNoahkai Banks: 150 passningar, xT 0.33BanksCalvin Marc Brackelmann: 137 passningar, xT 0.27BrackelmannFabian Rieder: 114 passningar, xT 0.42RiederFinn Dahmen: 113 passningar, xT 0.04DahmenHennes Behrens: 106 passningar, xT 0.51BehrensHan-Noah Massengo: 93 passningar, xT 0.13MassengoMarius Wolf: 76 passningar, xT 1.27WolfRobin Fellhauer: 48 passningar, xT 0.42FellhauerMichael Gregoritsch: 41 passningar, xT 0.03GregoritschAlexis Claude-Maurice: 25 passningar, xT 0.23Claude-Maurice
    Bayern München
    Aleksandar Pavlovic: 316 passningar, xT 0.52PavlovicJoshua Kimmich: 300 passningar, xT 0.89KimmichDayot Upamecano: 285 passningar, xT 0.57UpamecanoAlphonso Davies: 199 passningar, xT 0.63DaviesMichael Olise: 191 passningar, xT 1.19OliseJonathan Tah: 190 passningar, xT 0.32TahLuis Diaz: 155 passningar, xT 0.1DiazMin-jae Kim: 151 passningar, xT 0.28KimTom Bischof: 143 passningar, xT 0.38BischofJosip Stanisic: 132 passningar, xT 0.1StanisicKonrad Laimer: 122 passningar, xT 0.11Laimer

    The teams in numbers

    PerformanceAugsburgBayern München
    Points710
    xPoints5.98.1
    xG per match1.82.6
    xGA per match20.49
    xG within 8s of winning the ball0.530.3
    xGA within 8s of losing the ball0.510.13
    Playing styleAugsburgBayern München
    Build-up efficiency0.320.37
    Field tilt0.290.88
    xT per match1.41.7
    xTA per match2.10.42
    Won balls, offensive half2231
    Pressing intensity0.240.22
    Pressing efficiency0.250.37
    Pressing efficiency, offensive half0.20.36
    Entries into the box per match1227
    Entries into the box against225
    Pass completion %0.720.85
    Pass completion % under pressure0.710.79
    Passes per match292657
    Passes against per match496222
    Switches of play per match21.334.8
    Long balls per match2538
    Set piecesAugsburgBayern München
    xG from free kicks00.01
    Corners per match4.89.5
    Corners against per match72
    xG per corner0.030.04
    xGA per corner against0.040.01
    First touch, offensive corners %0.530.42
    First touch, defensive corners %0.50.62
    OtherAugsburgBayern München
    Throw-in control0.630.82
    The goalkeepersFinn Dahmen (Augsburg)Manuel Neuer (Bayern München)
    Saves226
    Save %79%86%
    xG prevented68%78%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Augsburg vs Bayern München according to our model?

    The model gives Bayern München a 78% win probability. Full 1X2 picture: Augsburg 8%, draw 14%, Bayern München 78%.

    What is the most likely scoreline?

    The model's most likely final score is 0-2 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 74% and under at 26%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.