BundesligaWWK Arena, Augsburg16°7 km/h

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    AugsburgAugsburgCounter-attacks & crosses
    vs
    Bayer LeverkusenBayer LeverkusenPossession & high press
    The model's lean: 2 · Bayer Leverkusen (49%)Best value by the model: X · Draw @ 4.14 (+13 %)

    AugsburgBayer Leverkusen · Bundesliga

    1 · Augsburg 24%X 27%49% Bayer Leverkusen · 2

    Analysis: AugsburgBayer Leverkusen

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

    In the clash between Augsburg and Bayer Leverkusen, the tactical battle lines are clearly drawn. The hosts lean on counter attacks and crosses, while the visitors prefer a possession-based game with a high press. This stylistic contrast suggests a match where Augsburg will likely concede possession, seeking opportunities to exploit the gaps left by Leverkusen's aggressive positioning.

    Despite Augsburg's advantage in points and xPoints since 2022, with 6 points to Leverkusen's 3, the head-to-head record is split evenly with two wins apiece. However, this small sample size means the overall form and expected goal statistics carry more weight. Leverkusen's impressive run of scoring in 14 consecutive league matches underlines their attacking prowess, with a model probability of 49% backing them to come out on top.

    The expected goals also favor Leverkusen (1.89) over Augsburg (1.42), suggesting a higher likelihood of the visitors finding the back of the net more frequently. This aligns with the model's most likely scoreline of 1-2. Yet, the probabilities for over 2.5 goals (64%) and both teams to score (65%) hint at a competitive encounter. Here lies the tension: can Augsburg disrupt Leverkusen's rhythm enough to swing the game in their favor?

    For those scanning the betting landscape, the draw at odds of 3.85 with Betsson presents a 5% edge, reflecting the 27% model probability. Additionally, the under 2.5 goals offers value at odds of 2.91, available with both Betsafe and Betsson, given the model's 36% estimation. While the numbers hint at Leverkusen's edge, these value bets could be a shrewd play in a match where Augsburg's counter-punches might just unsettle their more fancied guests.

    AugsburgAugsburg
    Form WWLWW
    League ranking xG #1xGA #9xT #3xP/match #1Points #1
    Key players
    • Michael GregoritschFxG 0.71 · xT 0.00
    • Fabian RiederCMxG 0.10 · xT 0.13
    • Marius WolfRWxG 0.18 · xT 0.72
    Bayer LeverkusenBayer Leverkusen
    Form WLDLW
    League ranking xG #3xGA #6xT #1xP/match #9Points #11
    Key players
    • Patrik SchickFxG 0.92 · xT -0.03
    • Ibrahim MazaFxG 0.37 · xT 0.75
    • Edmond TapsobaCBxG 0.00 · xT 0.06

    Match prediction: AugsburgBayer Leverkusen

    Predicted score matrix

    Bayer Leverkusen
    Augsburg
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–16.6%
    0–26.5%
    0–34.1%
    0–4+3.0%
    1
    1–04.9%
    1–110.1%
    1–29.3%
    1–35.8%
    1–4+4.3%
    2
    2–03.7%
    2–17.0%
    2–26.6%
    2–34.1%
    2–4+3.0%
    3
    3–01.7%
    3–13.3%
    3–23.1%
    3–32.0%
    3–4+1.4%
    4+
    4+–00.8%
    4+–11.6%
    4+–21.5%
    4+–31.0%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.0-17%
    5. 5.2-27%
    Expected goals
    1,421,89
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.91EV+4%
    Over 2,564%
    @1.42

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Bayer Leverkusen to win49%
    • Over 1.5 goals85%

    Combined probability

    42%

    Fair odds

    2.40

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

    02 · 3 legs

    Balanced

    • Bayer Leverkusen to win49%
    • Over 2.5 goals64%
    • Patrik Schick to score31%

    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 score65%
    • Over 2.5 goals64%
    • Patrik Schick to score31%
    • Han-Noah Massengo to be booked20%

    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+).

    • X · Draw27% probability@4.14PinnacleEV+13%reference odds
    • X · Draw27% probability@3.85BetssonEV+5%reference odds
    • Under 3.558% probability@1.81PinnacleEV+5%reference odds
    Bookmaker1 · AugsburgX2 · Bayer Leverkusen
    Betsafe3.90
    EV+ 4%
    3.80
    1.82
    Betsson3.90
    EV+ 5%
    3.85
    1.82
    Nordicbet3.90
    EV+ 4%
    3.80
    1.82
    Pinnacle3.96
    EV+ 13%
    4.14
    1.83

    Odds updated 11 Sept, 14:39

    Odds movement

    1-4 %
    26 %21 %

    4.123.96

    X-1 %
    25 %20 %

    4.184.14

    2+6 %
    56 %51 %

    1.741.83

    Pinnacle · 14 recorded price levels · 04/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Augsburg 2Draw 0Bayer Leverkusen 2
    Goals: 45 (⌀ 2,2)

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

    Key facts

    • Bayer Leverkusen have scored in 14 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Augsburg
    Bayer Leverkusen
    When goals are scored and conceded 2026
    Augsburg (71)
    Bayer Leverkusen (63)
    Pass networks

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

    Augsburg
    Noahkai Banks: 73 passningar, xT 0.2BanksChrislain Matsima: 70 passningar, xT 0.02MatsimaHennes Behrens: 67 passningar, xT 0.18BehrensCalvin Marc Brackelmann: 65 passningar, xT 0.16BrackelmannFinn Dahmen: 65 passningar, xT 0DahmenFabian Rieder: 58 passningar, xT 0.22RiederHan-Noah Massengo: 53 passningar, xT 0.12MassengoMarius Wolf: 44 passningar, xT 1.18WolfRobin Fellhauer: 25 passningar, xT -0.01FellhauerMichael Gregoritsch: 25 passningar, xT -0.01GregoritschAnton Kade: 18 passningar, xT 0.74Kade
    Bayer Leverkusen
    Aleix Garcia: 185 passningar, xT 0.24GarciaEdmond Tapsoba: 125 passningar, xT 0.13TapsobaMiguel Gutiérrez Ortega: 120 passningar, xT 1.11OrtegaFacundo Axel Medina: 107 passningar, xT 0.1MedinaEqui Fernandez: 82 passningar, xT 0.08FernandezJarell Quansah: 71 passningar, xT 0.58QuansahIbrahim Maza: 71 passningar, xT 1.36MazaMalik Tillman: 57 passningar, xT 0.22TillmanLoïc Séri Badé: 53 passningar, xT 0.05BadéMark Flekken: 50 passningar, xT 0.06FlekkenAfonso Bastardo Moreira: 42 passningar, xT 0.11Moreira
    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
    Noahkai Banks: 73 passningar, xT 0.2BanksChrislain Matsima: 70 passningar, xT 0.02MatsimaHennes Behrens: 67 passningar, xT 0.18BehrensCalvin Marc Brackelmann: 65 passningar, xT 0.16BrackelmannFinn Dahmen: 65 passningar, xT 0DahmenFabian Rieder: 58 passningar, xT 0.22RiederHan-Noah Massengo: 53 passningar, xT 0.12MassengoMarius Wolf: 44 passningar, xT 1.18WolfRobin Fellhauer: 25 passningar, xT -0.01FellhauerMichael Gregoritsch: 25 passningar, xT -0.01GregoritschAnton Kade: 18 passningar, xT 0.74Kade
    Bayer Leverkusen
    Aleix Garcia: 185 passningar, xT 0.24GarciaEdmond Tapsoba: 125 passningar, xT 0.13TapsobaMiguel Gutiérrez Ortega: 120 passningar, xT 1.11OrtegaFacundo Axel Medina: 107 passningar, xT 0.1MedinaEqui Fernandez: 82 passningar, xT 0.08FernandezJarell Quansah: 71 passningar, xT 0.58QuansahIbrahim Maza: 71 passningar, xT 1.36MazaMalik Tillman: 57 passningar, xT 0.22TillmanLoïc Séri Badé: 53 passningar, xT 0.05BadéMark Flekken: 50 passningar, xT 0.06FlekkenAfonso Bastardo Moreira: 42 passningar, xT 0.11Moreira

    The teams in numbers

    PerformanceAugsburgBayer Leverkusen
    Points63
    xPoints4.33.1
    xG per match2.92.6
    xGA per match1.61.1
    xG within 8s of winning the ball0.960.27
    xGA within 8s of losing the ball0.480.44
    Playing styleAugsburgBayer Leverkusen
    Build-up efficiency0.320.32
    Field tilt0.430.75
    xT per match1.82.6
    xTA per match1.90.51
    Won balls, offensive half2523
    Pressing intensity0.230.21
    Pressing efficiency0.250.41
    Pressing efficiency, offensive half0.210.32
    Entries into the box per match1722
    Entries into the box against188
    Pass completion %0.720.83
    Pass completion % under pressure0.690.79
    Passes per match311532
    Passes against per match429240
    Switches of play per match19.433.6
    Long balls per match2639
    Set piecesAugsburgBayer Leverkusen
    xG from free kicks00.03
    Corners per match7.67
    Corners against per match6.12.5
    xG per corner0.020.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.530.64
    First touch, defensive corners %0.670.6
    OtherAugsburgBayer Leverkusen
    Throw-in control0.620.83
    The goalkeepersFinn Dahmen (Augsburg)Mark Flekken (Bayer Leverkusen)
    Saves113
    Save %92%50%
    xG prevented87%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Augsburg vs Bayer Leverkusen according to our model?

    The model gives Bayer Leverkusen a 49% win probability. Full 1X2 picture: Augsburg 24%, draw 27%, Bayer Leverkusen 49%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 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 65% 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.