Bundesliga11°3,1 mm13 km/h

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    ElversbergElversbergLow block & direct
    4–3
    AugsburgAugsburgCounter-attacks & crosses
    The model's lean: 1 · Elversberg (46%)Best value by the model: Under 1,5 @ 5.87 (+45 %)

    Elversberg vs Augsburg · Bundesliga

    1 · Elversberg 46%X 27%27% Augsburg · 2

    Prediction summary

    Final score 4–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Elversberg vs Augsburg (Bundesliga, Saturday, 17 October 2026): Elversberg win 46%, draw 27%, Augsburg win 27%. Expected goals (xG): Elversberg 1.55, Augsburg 1.14. Most likely score: 1-1 (12%). Over 2.5 goals 50%, both teams to score 54%. Double chance: Elversberg or draw 73%, Augsburg or draw 54%. Prediction updated Friday, 9 October 2026.

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    Analysis: Elversberg – Augsburg

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: A tension exists in Elversberg's clash with Augsburg, driven by an intriguing set of numbers. Despite Augsburg's slight edge in points (8 over 7) and xPoints (6.9 over 5.8), the model tips the scales towards Elversberg, granting them a 46% chance of victory compared to Augsburg's 27%. This suggests an opportunity for the hosts to capitalize, particularly since they boast a slightly better expected goals against (xGA) record at 2.1 compared to the visitors' 2.3.

    The expected goals tally tells a different story, with Augsburg averaging 1.7 xG per match against Elversberg's 1.1. This disparity highlights a potential for the visitors to create more chances, albeit against a direct and low-defense approach from Elversberg that could stifle those opportunities. The most likely scorelines of 1-1, 1-0, and 2-1 reflect a balanced contest, where neither side seems poised to run away with it.

    Weather could play an unspoken role here, with the forecast of 3.1 mm of rain potentially dampening attacking efforts and making the under 1.5 goals market worth a glance. However, the model's 50% probability for over 2.5 goals suggests caution. More compelling is the value in under 1.5 goals at odds of 5.87 with Betsafe and Nordicbet, and 5.75 with LeoVegas. The model's 25% probability for this outcome indicates a massive edge of up to 45%.

    For all the statistical nuances, a 1-1 draw emerges as the likeliest result, aligning with the 12% chance assigned to it. Both teams to score at 54% corroborates this view. If you're hunting value, the under 1.5 goals market offers a sharp angle, with substantial potential returns where others see slim pickings.

    ElversbergElversberg
    Form WWLDL
    League ranking xG #14xGA #13xT #18xP/match #12Points #8
    Key players
    • Francis-Ikechukwu OnyekaLWxG 0.17 · xT 0.05
    • Lukas PetkovRWxG 0.13 · xT 0.20
    • Maximilian RohrCBxG 0.03 · xT 0.03
    AugsburgAugsburg
    Form WWDLD
    League ranking xG #8xGA #16xT #8xP/match #8Points #6
    Key players
    • Robin FellhauerRWxG 0.25 · xT 0.17
    • Anton KadeFxG 0.70 · xT 0.61
    • Michael GregoritschFxG 0.51 · xT 0.01
    Final score
    4 – 3
    The model called the outcome
    Predicted probabilities: Elversberg 46% · Draw 27% · Augsburg 27%

    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 - SpVgg ElversbergBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,20fair 8,17-36 %
    Hit
    Matchresultat - FC AugsburgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,53fair 14,99-63 %
    Miss

    Match prediction: Elversberg – Augsburg

    Predicted score matrix

    Augsburg →
    Elversberg →
    0
    1
    2
    3
    4+
    0
    0–07.1%
    0–17.4%
    0–24.4%
    0–31.7%
    0–4+0.6%
    1
    1–010.2%
    1–112.3%
    1–26.8%
    1–32.6%
    1–4+0.9%
    2
    2–08.2%
    2–19.3%
    2–25.3%
    2–32.0%
    2–4+0.7%
    3
    3–04.2%
    3–14.8%
    3–22.7%
    3–31.0%
    3–4+0.4%
    4+
    4+–02.3%
    4+–12.6%
    4+–21.5%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,55–1,14
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.76EV+37%
    Over 2,550%
    @1.46

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Elversberg to win46%
    • Under 3.5 goals72%

    Combined probability

    32%

    Fair odds

    3.14

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

    02 · 3 legs

    Balanced

    • Elversberg to win46%
    • Over 2.5 goals50%
    • David Ngabi Mokwa Ntusu to score17%

    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 score54%
    • Over 2.5 goals50%
    • Michael Gregoritsch to score25%
    • Fabian Rieder 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+).

    • Under 1.525% probability@5.87BetsafeEV+45%reference odds
    • Under 1.525% probability@5.87NordicbetEV+45%reference odds
    • Under 2.550% probability@2.76BetsafeEV+37%reference odds
    Bookmaker1 · ElversbergX2 · Augsburg
    Betsafe
    EV+ 11%
    2.42
    3.602.65
    LeoVegas
    EV+ 14%
    2.50
    EV+ 1%
    3.75
    2.65
    Nordicbet
    EV+ 11%
    2.42
    3.602.65
    Pinnacle
    EV+ 13%
    2.47
    EV+ 1%
    3.76
    2.76

    Odds updated 17 Oct, 13:38

    Odds movement

    1-3 %
    41 %36 %

    2.54 → 2.47

    X0 %
    28 %23 %

    3.76 → 3.76

    2+4 %
    38 %33 %

    2.65 → 2.76

    Pinnacle · 8 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Elversberg
    Augsburg
    When goals are scored and conceded — 2026
    Elversberg (8–8)
    Augsburg (13–8)
    Pass networks

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

    Elversberg
    Maximilian Rohr: 268 passningar, xT 0.15RohrLukas Pinckert: 233 passningar, xT 0.13PinckertNicolas Kristof: 196 passningar, xT 0.1KristofLukasz Poreba: 174 passningar, xT 0.19PorebaFelix Keidel: 134 passningar, xT 0.15KeidelJan Gyamerah: 113 passningar, xT 0.05GyamerahLasse Günther: 112 passningar, xT 0.35GüntherLuca Noah Sirch: 76 passningar, xT 0.46SirchLukas Petkov: 74 passningar, xT 0.98PetkovWilliam Cole Campbell: 39 passningar, xT 0.21CampbellLook Saa Nicholas Kengkhetkid Mickelson: 30 passningar, xT -0.01Mickelson
    Augsburg
    Chrislain Matsima: 181 passningar, xT 0.04MatsimaCalvin Marc Brackelmann: 159 passningar, xT 0.33BrackelmannNoahkai Banks: 150 passningar, xT 0.33BanksHennes Behrens: 137 passningar, xT 0.54BehrensFabian Rieder: 137 passningar, xT 0.45RiederFinn Dahmen: 130 passningar, xT 0.1DahmenHan-Noah Massengo: 113 passningar, xT 0.14MassengoMarius Wolf: 76 passningar, xT 1.27WolfRobin Fellhauer: 60 passningar, xT 0.47FellhauerArijon Ibrahimovic: 42 passningar, xT 0.36IbrahimovicMichael Gregoritsch: 41 passningar, xT 0.03Gregoritsch
    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: 268 passningar, xT 0.15RohrLukas Pinckert: 233 passningar, xT 0.13PinckertNicolas Kristof: 196 passningar, xT 0.1KristofLukasz Poreba: 174 passningar, xT 0.19PorebaFelix Keidel: 134 passningar, xT 0.15KeidelJan Gyamerah: 113 passningar, xT 0.05GyamerahLasse Günther: 112 passningar, xT 0.35GüntherLuca Noah Sirch: 76 passningar, xT 0.46SirchLukas Petkov: 74 passningar, xT 0.98PetkovWilliam Cole Campbell: 39 passningar, xT 0.21CampbellLook Saa Nicholas Kengkhetkid Mickelson: 30 passningar, xT -0.01Mickelson
    Augsburg
    Chrislain Matsima: 181 passningar, xT 0.04MatsimaCalvin Marc Brackelmann: 159 passningar, xT 0.33BrackelmannNoahkai Banks: 150 passningar, xT 0.33BanksHennes Behrens: 137 passningar, xT 0.54BehrensFabian Rieder: 137 passningar, xT 0.45RiederFinn Dahmen: 130 passningar, xT 0.1DahmenHan-Noah Massengo: 113 passningar, xT 0.14MassengoMarius Wolf: 76 passningar, xT 1.27WolfRobin Fellhauer: 60 passningar, xT 0.47FellhauerArijon Ibrahimovic: 42 passningar, xT 0.36IbrahimovicMichael Gregoritsch: 41 passningar, xT 0.03Gregoritsch

    The teams in numbers

    PerformanceElversbergAugsburg
    Points78
    xPoints5.86.9
    xG per match1.11.7
    xGA per match2.12.3
    xG within 8s of winning the ball0.550.45
    xGA within 8s of losing the ball0.240.46
    Playing styleElversbergAugsburg
    Build-up efficiency0.30.32
    Field tilt0.260.24
    xT per match0.611.2
    xTA per match1.52.2
    Won balls, offensive half1719
    Pressing intensity0.270.24
    Pressing efficiency0.240.24
    Pressing efficiency, offensive half0.210.21
    Entries into the box per match911
    Entries into the box against2123
    Pass completion %0.740.72
    Pass completion % under pressure0.670.7
    Passes per match318275
    Passes against per match435510
    Switches of play per match21.519.5
    Long balls per match2525
    Set piecesElversbergAugsburg
    xG from free kicks0.130
    Corners per match3.64.8
    Corners against per match7.27.3
    xG per corner0.010.04
    xGA per corner against0.050.06
    First touch, offensive corners %0.50.42
    First touch, defensive corners %0.690.49
    OtherElversbergAugsburg
    Throw-in control0.730.65
    The goalkeepersNicolas Kristof (Elversberg)Finn Dahmen (Augsburg)
    Saves1530
    Save %65%79%
    xG prevented45%69%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Elversberg vs Augsburg according to our model?

    The model gives Elversberg a 46% win probability. Full 1X2 picture: Elversberg 46%, draw 27%, Augsburg 27%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 54% according to the model.

    How many goals are expected in Elversberg vs Augsburg?

    The model expects 1.55 goals (xG) for Elversberg and 1.14 for Augsburg, 2.69 in total.

    What does the model say about double chance?

    Elversberg or draw (1X) 73%, Augsburg or draw (X2) 54% and no draw (12) 73%.

    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.