BundesligaAllianz Arena, München14°6 km/h

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    Bayern MünchenBayern MünchenPossession control
    vs
    Union BerlinUnion BerlinCounter-attacks & crosses
    The model's lean: 1 · Bayern München (78%)Best value by the model: 2 · Union Berlin @ 24.00 (+85 %)

    Bayern MünchenUnion Berlin · Bundesliga

    1 · Bayern München 78%X 14%8% Union Berlin · 2

    Analysis: Bayern MünchenUnion Berlin

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

    TEXT (corrected):

    Seventeen matches without defeat is a statement in any league, but for Bayern München, it's a reaffirmation of their dominance. As they prepare to face Union Berlin, the hosts bring a tactical blueprint built on possession control — a style that has often suffocated opponents. Union, on the other hand, lean into counter-attacks and crosses, a strategy that might find its opportunities limited against a team that wins 83% of its home games.

    The probabilities tilt heavily in Bayern's favor, with a 78% chance of victory. Union Berlin, with a paltry 8% win probability, seems set to play the role of the underdog in a clash that the hosts are expected to dictate. The model leans towards a 2-0 or 3-0 win for Bayern, each with an 11% likelihood. These numbers point to a confident win, underscored by Bayern's expected goals sitting at a robust 2.89, compared to Union's 0.72.

    Critically, Bayern's defensive solidity can't be overlooked. They've managed to keep their expected goals against (xGA) at a mere 0.44 per match, a stark contrast to Union's 2.3 xGA. This gulf in defensive capability likely means that even if Union manages to disrupt Bayern's rhythm, finding the net will be a tall order. The model's suggestion of a 70% chance for over 2.5 goals aligns with the hosts' prolific attack, yet the 49% likelihood of both teams scoring suggests Union might struggle to breach Bayern's defenses.

    The head-to-head record, albeit over just four matches since 2022, shows Bayern with 2 wins and 2 draws, but its significance wanes against the backdrop of current form and expected goals. In a game poised for Bayern's control, 2-0 seems a fitting scoreline, with the over 2.5 goals market remaining a strong consideration.

    Bayern MünchenBayern München
    Form DWWWD
    League ranking xG #4xGA #1xT #4xP/match #3Points #6
    Key players
    • Michael OliseRWxG 0.63 · xT 0.54
    • Jonathan TahCMxG 0.18 · xT 0.15
    • Luis DiazLWxG 0.64 · xT 0.00
    Union BerlinUnion Berlin
    Form DWWDL
    League ranking xG #14xGA #14xT #14xP/match #11Points #15
    Key players
    • Leopold QuerfeldCMxG 0.20 · xT 0.11
    • Emmanuel Delan Junior Latte LathLWxG 0.25 · xT 0.00
    • Josip JuranovicRWBxG 0.06 · xT 0.05

    Match prediction: Bayern MünchenUnion Berlin

    Predicted score matrix

    Union Berlin
    Bayern München
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–11.8%
    0–20.7%
    0–30.2%
    0–4+0.0%
    1
    1–07.6%
    1–15.8%
    1–22.0%
    1–30.5%
    1–4+0.1%
    2
    2–011.3%
    2–18.1%
    2–22.9%
    2–30.7%
    2–4+0.1%
    3
    3–010.9%
    3–17.8%
    3–22.8%
    3–30.7%
    3–4+0.1%
    4+
    4+–016.0%
    4+–111.5%
    4+–24.1%
    4+–31.0%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.3-011%
    3. 3.2-18%
    4. 4.4-08%
    5. 5.3-18%
    Expected goals
    2,890,72
    Both teams to score
    49%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    @4.57EV+37%
    Over 2,570%
    @1.21

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bayern München to win78%
    • Over 1.5 goals88%

    Combined probability

    74%

    Fair odds

    1.36

    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 goals70%
    • Nicolas Jackson 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 score49%
    • Over 2.5 goals70%
    • Nicolas Jackson to score30%
    • Aljoscha Kemlein to be booked25%

    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+).

    • 2 · Union Berlin8% probability@24.00BetssonEV+85%reference odds
    • 2 · Union Berlin8% probability@23.00BetsafeEV+77%reference odds
    • 2 · Union Berlin8% probability@23.00NordicbetEV+77%reference odds
    Bookmaker1 · Bayern MünchenX2 · Union Berlin
    Betsafe1.12
    EV+ 6%
    7.40
    EV+ 77%
    23.00
    Betsson1.13
    EV+ 8%
    7.50
    EV+ 85%
    24.00
    Nordicbet1.12
    EV+ 6%
    7.40
    EV+ 77%
    23.00
    Pinnacle1.11
    EV+ 44%
    10.05
    EV+ 21%
    15.65

    Odds updated 11 Sept, 08:40

    Odds movement

    1-1 %
    87 %82 %

    1.121.11

    X+2 %
    12 %7 %

    9.8510.05

    2+4 %
    9 %4 %

    15.1115.65

    Pinnacle · 3 recorded price levels · 10/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Bayern München 2Draw 2Union Berlin 0
    Goals: 103 (⌀ 3,2)

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

    Key facts

    • FC Bayern Munich are unbeaten in their last 17 league matches.
    • FC Bayern Munich win 83% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Bayern München
    Union Berlin
    When goals are scored and conceded 2026
    Bayern München (51)
    Union Berlin (37)
    Pass networks

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

    Bayern München
    Joshua Kimmich: 174 passningar, xT 0.6KimmichDayot Upamecano: 163 passningar, xT 0.34UpamecanoAleksandar Pavlovic: 146 passningar, xT 0.17PavlovicJonathan Tah: 132 passningar, xT 0.17TahKonrad Laimer: 122 passningar, xT 0.11LaimerAlphonso Davies: 115 passningar, xT 0.39DaviesLuis Diaz: 104 passningar, xT 0.04DiazMichael Olise: 74 passningar, xT 0.57OliseManuel Neuer: 57 passningar, xT 0.12NeuerTom Bischof: 37 passningar, xT 0.15BischofMin-jae Kim: 34 passningar, xT 0.08Kim
    Union Berlin
    Zeno Van den Bosch: 76 passningar, xT 0.16BoschTom Rothe: 53 passningar, xT 0.19RotheAljoscha Kemlein: 53 passningar, xT 0.02KemleinJosip Juranovic: 53 passningar, xT 0.09JuranovicOhis Felix Uduokhai: 41 passningar, xT 0.05UduokhaiRani Khedira: 39 passningar, xT 0KhediraLeopold Querfeld: 29 passningar, xT 0.05QuerfeldFrederik Ronnow: 25 passningar, xT 0.02RonnowLivan Baha Burcu: 24 passningar, xT -0.01BurcuAndrás Schäfer: 24 passningar, xT 0.1SchäferWooyeong Jeong: 22 passningar, xT 0.45Jeong
    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: 174 passningar, xT 0.6KimmichDayot Upamecano: 163 passningar, xT 0.34UpamecanoAleksandar Pavlovic: 146 passningar, xT 0.17PavlovicJonathan Tah: 132 passningar, xT 0.17TahKonrad Laimer: 122 passningar, xT 0.11LaimerAlphonso Davies: 115 passningar, xT 0.39DaviesLuis Diaz: 104 passningar, xT 0.04DiazMichael Olise: 74 passningar, xT 0.57OliseManuel Neuer: 57 passningar, xT 0.12NeuerTom Bischof: 37 passningar, xT 0.15BischofMin-jae Kim: 34 passningar, xT 0.08Kim
    Union Berlin
    Zeno Van den Bosch: 76 passningar, xT 0.16BoschTom Rothe: 53 passningar, xT 0.19RotheAljoscha Kemlein: 53 passningar, xT 0.02KemleinJosip Juranovic: 53 passningar, xT 0.09JuranovicOhis Felix Uduokhai: 41 passningar, xT 0.05UduokhaiRani Khedira: 39 passningar, xT 0KhediraLeopold Querfeld: 29 passningar, xT 0.05QuerfeldFrederik Ronnow: 25 passningar, xT 0.02RonnowLivan Baha Burcu: 24 passningar, xT -0.01BurcuAndrás Schäfer: 24 passningar, xT 0.1SchäferWooyeong Jeong: 22 passningar, xT 0.45Jeong

    The teams in numbers

    PerformanceBayern MünchenUnion Berlin
    Points41
    xPoints3.82.4
    xG per match2.31.4
    xGA per match0.442.3
    xG within 8s of winning the ball0.330.09
    xGA within 8s of losing the ball0.070.44
    Playing styleBayern MünchenUnion Berlin
    Build-up efficiency0.370.33
    Field tilt0.830.34
    xT per match1.70.93
    xTA per match0.492.1
    Won balls, offensive half2832
    Pressing intensity0.220.26
    Pressing efficiency0.390.27
    Pressing efficiency, offensive half0.410.23
    Entries into the box per match2613
    Entries into the box against618
    Pass completion %0.830.67
    Pass completion % under pressure0.770.58
    Passes per match645259
    Passes against per match198415
    Switches of play per match39.824.6
    Long balls per match4630
    Set piecesBayern MünchenUnion Berlin
    xG from free kicks00.13
    Corners per match10.13
    Corners against per match1.56.4
    xG per corner0.050.08
    xGA per corner against00.03
    First touch, offensive corners %0.50.83
    First touch, defensive corners %10.38
    OtherBayern MünchenUnion Berlin
    Throw-in control0.780.71
    The goalkeepersManuel Neuer (Bayern München)Frederik Ronnow (Union Berlin)
    Saves46
    Save %80%60%
    xG prevented62%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bayern München vs Union Berlin according to our model?

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

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 70% and under at 30%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.