Bundesliga17°0,6 mm14 km/h

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    ElversbergElversbergLow block & direct
    vs
    Bayern MünchenBayern MünchenPossession control
    The model's lean: 2 · Bayern München (64%)Best value by the model: 1 · Elversberg @ 16.00 (+160 %)

    ElversbergBayern München · Bundesliga

    1 · Elversberg 16%X 19%64% Bayern München · 2

    Analysis: ElversbergBayern München

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Bayern München's unbeaten league streak of 17 matches towers over Elversberg's aspirations. Despite a curious point edge in Elversberg's favor (6 to Bayern's 4), the underlying numbers suggest a different narrative. The visitors dominate in expected goals (xG) at 2.3 per match, contrasting sharply with the hosts’ 1.7, suggesting Bayern's superiority in chance creation.

    The clash in styles is evident: Elversberg's low defense and direct approach faces Bayern's possession-heavy game. This dynamic might see the hosts relying on quick transitions to exploit any gaps left by the visitors' high line. Yet, with Bayern's exceptional defensive record — conceding just 0.44 xGA per match — Elversberg's task appears daunting.

    Head-to-head results are sparse, making current form and expected goals more indicative of what to expect. Bayern's clear model lean with a 64% probability of victory aligns with the most likely scorelines of 1-2 or 0-2. The expected goals tally of 1.20 for Elversberg and 2.08 for Bayern reinforces a potential high-scoring affair, with the model favoring over 2.5 goals at 64%.

    For bettors eyeing value, there's an intriguing edge with Elversberg at odds of 12.5 on Betsafe, Betsson, and Nordicbet, given their actual 16% chance. These odds present a 103% edge, a rare find in such a mismatched contest.

    In conclusion, Bayern seems poised to extend their unbeaten run, with a 1-2 victory the most plausible outcome. For those seeking value, a small stake on Elversberg’s upset could be tempting, though the balance of play heavily leans towards the visitors.

    ElversbergElversberg
    Form WW
    League ranking xG #10xGA #13xT #17xP/match #8Points #3
    Key players
    • David Ngabi Mokwa NtusuFxG 0.44 · xT 0.05
    • Felix KeidelFxG 0.09 · xT 0.03
    • Francis-Ikechukwu OnyekaLWxG 0.19 · xT 0.05
    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

    Match prediction: ElversbergBayern München

    Predicted score matrix

    Bayern München
    Elversberg
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–17.6%
    0–28.2%
    0–35.7%
    0–4+4.8%
    1
    1–04.2%
    1–19.6%
    1–29.8%
    1–36.8%
    1–4+5.7%
    2
    2–02.7%
    2–15.6%
    2–25.8%
    2–34.1%
    2–4+3.4%
    3
    3–01.1%
    3–12.2%
    3–22.3%
    3–31.6%
    3–4+1.4%
    4+
    4+–00.4%
    4+–10.9%
    4+–20.9%
    4+–30.6%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-210%
    2. 2.1-110%
    3. 3.0-28%
    4. 4.0-18%
    5. 5.1-37%
    Expected goals
    1,202,08
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @5.01EV+82%
    Over 2,564%
    @1.18

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bayern München to win64%
    • Over 1.5 goals84%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Bayern München to win64%
    • Over 2.5 goals64%
    • Luis Fernando Díaz Marulanda to score22%

    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 score61%
    • Over 2.5 goals64%
    • Luis Fernando Díaz Marulanda to score22%
    • Leon Christoph Goretzka 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+).

    • 1 · Elversberg16% probability@16.00BetssonEV+160%reference odds
    • 1 · Elversberg16% probability@15.50BetsafeEV+152%reference odds
    • 1 · Elversberg16% probability@15.50NordicbetEV+152%reference odds
    Bookmaker1 · ElversbergX2 · Bayern München
    Betsafe
    EV+ 152%
    15.50
    EV+ 44%
    7.40
    1.15
    Betsson
    EV+ 160%
    16.00
    EV+ 44%
    7.40
    1.15
    Nordicbet
    EV+ 152%
    15.50
    EV+ 44%
    7.40
    1.15
    Pinnacle
    EV+ 139%
    14.72
    EV+ 71%
    8.75
    1.16

    Odds updated 11 Sept, 15:38

    Odds movement

    Market signal

    The market has moved clearly towards an Bayern München win since 5 September — the odds have shortened from 1.19 to 1.16 (−2%).

    1+37 %
    13 %3 %

    10.7614.72

    X+14 %
    17 %7 %

    7.708.75

    2-2 %
    85 %75 %

    1.191.16

    Pinnacle · 13 recorded price levels · 05/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    Key facts

    • FC Bayern Munich are unbeaten in their last 17 league matches.
    xG & xGA per match — 3-game rolling average

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

    Elversberg
    Bayern München
    When goals are scored and conceded 2026
    Elversberg (75)
    Bayern München (51)
    Pass networks

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

    Elversberg
    Maximilian Rohr: 83 passningar, xT 0.05RohrNicolas Kristof: 71 passningar, xT 0.08KristofLukas Pinckert: 67 passningar, xT 0.06PinckertLukasz Poreba: 53 passningar, xT 0PorebaFelix Keidel: 46 passningar, xT 0.04KeidelJan Gyamerah: 45 passningar, xT -0.01GyamerahLasse Günther: 35 passningar, xT 0.05GüntherLukas Petkov: 23 passningar, xT 0.42PetkovDavid Ngabi Mokwa Ntusu: 18 passningar, xT 0.02NtusuWilliam Cole Campbell: 16 passningar, xT 0.06CampbellFrancis-Ikechukwu Onyeka: 15 passningar, xT 0.03Onyeka
    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
    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.

    Elversberg
    Maximilian Rohr: 83 passningar, xT 0.05RohrNicolas Kristof: 71 passningar, xT 0.08KristofLukas Pinckert: 67 passningar, xT 0.06PinckertLukasz Poreba: 53 passningar, xT 0PorebaFelix Keidel: 46 passningar, xT 0.04KeidelJan Gyamerah: 45 passningar, xT -0.01GyamerahLasse Günther: 35 passningar, xT 0.05GüntherLukas Petkov: 23 passningar, xT 0.42PetkovDavid Ngabi Mokwa Ntusu: 18 passningar, xT 0.02NtusuWilliam Cole Campbell: 16 passningar, xT 0.06CampbellFrancis-Ikechukwu Onyeka: 15 passningar, xT 0.03Onyeka
    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

    The teams in numbers

    PerformanceElversbergBayern München
    Points64
    xPoints3.13.8
    xG per match1.72.3
    xGA per match2.30.44
    xG within 8s of winning the ball0.580.33
    xGA within 8s of losing the ball0.360.07
    Playing styleElversbergBayern München
    Build-up efficiency0.310.37
    Field tilt0.270.83
    xT per match0.661.7
    xTA per match1.70.49
    Won balls, offensive half1628
    Pressing intensity0.270.22
    Pressing efficiency0.230.39
    Pressing efficiency, offensive half0.170.41
    Entries into the box per match1026
    Entries into the box against196
    Pass completion %0.710.83
    Pass completion % under pressure0.640.77
    Passes per match253645
    Passes against per match413198
    Switches of play per match13.839.8
    Long balls per match2246
    Set piecesElversbergBayern München
    xG from free kicks00
    Corners per match3.910.1
    Corners against per match7.91.5
    xG per corner00.05
    xGA per corner against0.070
    First touch, offensive corners %0.250.5
    First touch, defensive corners %0.691
    OtherElversbergBayern München
    Throw-in control0.690.78
    The goalkeepersMaximilian Rohr (Elversberg)Manuel Neuer (Bayern München)
    Saves54
    Save %100%80%
    xG prevented100%62%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Elversberg vs Bayern München according to our model?

    The model gives Bayern München a 64% win probability. Full 1X2 picture: Elversberg 16%, draw 19%, Bayern München 64%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 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 61% 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.