BundesligaBayArena, Leverkusen18°19 km/h

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    Bayer LeverkusenBayer LeverkusenPossession & high press
    40
    Union BerlinUnion BerlinCounter-attacks & crosses
    The model's lean: 1 · Bayer Leverkusen (69%)Best value by the model: Under 3,5 @ 1.87 (+9 %)

    Bayer LeverkusenUnion Berlin · Bundesliga

    1 · Bayer Leverkusen 69%X 17%13% Union Berlin · 2

    Analysis: Bayer LeverkusenUnion Berlin

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

    Bayer Leverkusen's 69% win probability indicates a strong lean towards the hosts, bolstered by their possession-based approach and high press. They score consistently, netting in 13 straight league games. Meanwhile, Union Berlin, relying on counter-attacks and crosses, have also been productive, scoring in their last 8 matches. However, their 13% win probability underscores the hosts' favored status.

    Despite Union Berlin's slight edge in xPoints and xG per match, the head-to-head data since 2022, though limited, shows a minor advantage for the home side with two wins, one draw, and one loss. Leverkusen's historical win rate of 56% at home supports this narrative. The expected goals model, favoring the hosts at 2.35 against 0.94 for the visitors, aligns with the most likely scorelines of 2-0 or 2-1 in favor of Leverkusen.

    The over 2.5 goals probability at 64% suggests a fairly open game, though there's a standout betting angle in the under 3.5 market. With Betsafe, Betsson, and Nordicbet offering odds of 1.78, an EV+ opportunity appears, rated at 58% by the model, providing a 4% edge. This option captures value in a match expected to see goals, but not excessively so.

    Bayer LeverkusenBayer Leverkusen
    Form WWLDL
    League ranking xG #7xGA #10xT #2xP/match #14Points #13
    Key players
    • Patrik SchickFxG 0.62 · xT -0.09
    • Miguel Gutiérrez OrtegaLWBxG 0.00 · xT 0.42
    • Edmond TapsobaCBxG 0.00 · xT 0.10
    Union BerlinUnion Berlin
    Form LDWWD
    League ranking xG #5xGA #7xT #8xP/match #7Points #10
    Key players
    • Leopold QuerfeldCMxG 0.20 · xT 0.11
    • Josip JuranovicRWBxG 0.06 · xT 0.09
    • Zeno Van den BoschCBxG 0.00 · xT 0.10
    Final score
    40
    The model called the outcome
    Predicted probabilities: Bayer Leverkusen 69% · Draw 17% · Union Berlin 13%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Bayer LeverkusenBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,42fair 4,23-19 %
    Miss
    Matchresultat - Union BerlinBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 14,65fair 27,06-46 %
    Miss

    Match prediction: Bayer LeverkusenUnion Berlin

    Predicted score matrix

    Union Berlin
    Bayer Leverkusen
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–13.3%
    0–21.6%
    0–30.5%
    0–4+0.1%
    1
    1–08.5%
    1–18.5%
    1–23.9%
    1–31.2%
    1–4+0.3%
    2
    2–010.3%
    2–19.7%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–08.1%
    3–17.6%
    3–23.6%
    3–31.1%
    3–4+0.3%
    4+
    4+–08.3%
    4+–17.8%
    4+–23.6%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.1-18%
    5. 5.3-08%
    Expected goals
    2,350,94
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.84EV+3%
    Over 2,564%
    @1.44

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bayer Leverkusen to win69%
    • Over 1.5 goals84%

    Combined probability

    60%

    Fair odds

    1.67

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

    02 · 3 legs

    Balanced

    • Bayer Leverkusen to win69%
    • Over 2.5 goals64%
    • Patrik Schick to score37%

    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 score55%
    • Over 2.5 goals64%
    • Patrik Schick to score37%
    • 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+).

    • Under 3.558% probability@1.87PinnacleEV+9%reference odds
    • 1 · Bayer Leverkusen69% probability@1.50Bet365EV+4%reference odds
    • Under 3.558% probability@1.78BetsafeEV+4%reference odds
    Bookmaker1 · Bayer LeverkusenX2 · Union Berlin
    Bet365
    EV+ 4%
    1.50
    4.335.50
    Betsafe
    EV+ 1%
    1.45
    4.506.30
    Betsson
    EV+ 1%
    1.46
    4.556.30
    Nordicbet
    EV+ 1%
    1.45
    4.506.30
    Pinnacle1.425.306.90

    Odds updated 5 Sept, 10:33

    Odds movement

    Market signal

    The market has moved clearly towards a Bayer Leverkusen win since 30 August — the odds have shortened from 1.46 to 1.42 (−3%).

    1-3 %
    69 %64 %

    1.461.42

    X+9 %
    21 %16 %

    4.865.30

    2+16 %
    18 %13 %

    5.936.90

    Pinnacle · 21 recorded price levels · 30/08/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Bayer Leverkusen 2Draw 1Union Berlin 1
    Goals: 42 (⌀ 1,5)

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

    Key facts

    • Bayer Leverkusen have scored in 13 consecutive league matches.
    • Union Berlin have scored in 8 consecutive league matches.
    • Bayer Leverkusen win 56% of their home matches all-time (34 played).
    xG & xGA per match — 3-game rolling average

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

    Bayer Leverkusen
    Union Berlin
    When goals are scored and conceded 2026
    Bayer Leverkusen (23)
    Union Berlin (33)
    Pass networks

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

    Bayer Leverkusen
    Aleix Garcia: 93 passningar, xT 0.15GarciaEdmond Tapsoba: 69 passningar, xT 0.1TapsobaMiguel Gutiérrez Ortega: 68 passningar, xT 0.39OrtegaFacundo Axel Medina: 43 passningar, xT -0.01MedinaLoïc Séri Badé: 40 passningar, xT 0.04BadéEqui Fernandez: 38 passningar, xT -0.07FernandezIbrahim Maza: 29 passningar, xT 0.62MazaMalik Tillman: 27 passningar, xT 0.1TillmanLucas Vazquez: 24 passningar, xT 0.05VazquezMark Flekken: 23 passningar, xT 0.04FlekkenJarell Quansah: 22 passningar, xT 0.48Quansah
    Union Berlin
    Zeno Van den Bosch: 46 passningar, xT 0.13BoschJosip Juranovic: 33 passningar, xT 0.1JuranovicAljoscha Kemlein: 32 passningar, xT 0.04KemleinLeopold Querfeld: 29 passningar, xT 0.05QuerfeldTom Rothe: 26 passningar, xT 0.14RotheMatheo Raab: 19 passningar, xT 0.02RaabAndrás Schäfer: 17 passningar, xT 0.08SchäferWooyeong Jeong: 16 passningar, xT 0.41JeongRani Khedira: 13 passningar, xT 0.01KhediraMichel Aebischer: 6 passningar, xT 0.09AebischerJanik Haberer: 6 passningar, xT 0Haberer
    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.

    Bayer Leverkusen
    Aleix Garcia: 93 passningar, xT 0.15GarciaEdmond Tapsoba: 69 passningar, xT 0.1TapsobaMiguel Gutiérrez Ortega: 68 passningar, xT 0.39OrtegaFacundo Axel Medina: 43 passningar, xT -0.01MedinaLoïc Séri Badé: 40 passningar, xT 0.04BadéEqui Fernandez: 38 passningar, xT -0.07FernandezIbrahim Maza: 29 passningar, xT 0.62MazaMalik Tillman: 27 passningar, xT 0.1TillmanLucas Vazquez: 24 passningar, xT 0.05VazquezMark Flekken: 23 passningar, xT 0.04FlekkenJarell Quansah: 22 passningar, xT 0.48Quansah
    Union Berlin
    Zeno Van den Bosch: 46 passningar, xT 0.13BoschJosip Juranovic: 33 passningar, xT 0.1JuranovicAljoscha Kemlein: 32 passningar, xT 0.04KemleinLeopold Querfeld: 29 passningar, xT 0.05QuerfeldTom Rothe: 26 passningar, xT 0.14RotheMatheo Raab: 19 passningar, xT 0.02RaabAndrás Schäfer: 17 passningar, xT 0.08SchäferWooyeong Jeong: 16 passningar, xT 0.41JeongRani Khedira: 13 passningar, xT 0.01KhediraMichel Aebischer: 6 passningar, xT 0.09AebischerJanik Haberer: 6 passningar, xT 0Haberer

    The teams in numbers

    PerformanceBayer LeverkusenUnion Berlin
    Points01
    xPoints0.72
    xG per match1.82.2
    xGA per match1.61.2
    xG within 8s of winning the ball0.160.17
    xGA within 8s of losing the ball0.870.5
    Playing styleBayer LeverkusenUnion Berlin
    Build-up efficiency0.320.33
    Field tilt0.780.44
    xT per match21.6
    xTA per match0.751.2
    Won balls, offensive half2936
    Pressing intensity0.180.25
    Pressing efficiency0.490.37
    Pressing efficiency, offensive half0.410.29
    Entries into the box per match2419
    Entries into the box against915
    Pass completion %0.820.62
    Pass completion % under pressure0.780.52
    Passes per match524248
    Passes against per match211299
    Switches of play per match24.728.4
    Long balls per match2835
    Set piecesBayer LeverkusenUnion Berlin
    xG from free kicks0.070.03
    Corners per match34.7
    Corners against per match41.9
    xG per corner0.070.06
    xGA per corner against00.09
    First touch, offensive corners %0.670.8
    First touch, defensive corners %0.750.5
    OtherBayer LeverkusenUnion Berlin
    Throw-in control0.790.7
    The goalkeepersMark Flekken (Bayer Leverkusen)Leopold Querfeld (Union Berlin)
    Saves32
    Save %50%100%
    xG prevented38%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Bayer Leverkusen vs Union Berlin according to our model?

    The model gives Bayer Leverkusen a 69% win probability. Full 1X2 picture: Bayer Leverkusen 69%, draw 17%, Union Berlin 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 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 55% 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.