3. Liga18°9 km/h

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    Wurzburger KickersWurzburger KickersPossession control
    vs
    Alemannia AachenAlemannia AachenPossession control
    The model's lean: 2 · Alemannia Aachen (52%)
    Limited dataThe model has few previous matches with these teams in this league — the forecast therefore rests on thinner data than usual.

    Wurzburger KickersAlemannia Aachen · 3. Liga

    1 · Wurzburger Kickers 23%X 25%52% Alemannia Aachen · 2

    Analysis: Wurzburger KickersAlemannia Aachen

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

    The head-to-head claim (Aachen winning both prior meetings since 2024) is not supported by any data in the FACTS and must be removed as an unsupported claim.

    TEXT:

    Alemannia Aachen enters this match with the edge in form and underlying numbers. With the visitors sitting on seven points compared to the hosts' four, Aachen's form gives them the edge.

    Turning to the playing styles, both teams tend to focus on possession control, suggesting a tactical battle of midfield dominance and strategic patience. However, Aachen's superior xG of 1.7 compared to the Kickers' 1.4 underscores their attacking potency. Moreover, Aachen's tighter defense, with an xGA of 1.1 against the Kickers' 1.3, strengthens their profile as the more balanced side. Although Wurzburger can potentially exploit quick transitions with their xG of 0.4 within eight seconds of winning possession, they might struggle to convert that into goals against a well-organized Aachen rear guard.

    Given the expected goals — 1.05 for the hosts and 1.54 for the visitors — the model slightly favors a low-scoring affair. The most probable outcomes tilt towards a 1-1 stalemate or a narrow away win, with the latter being more in line with Aachen's form and statistical superiority. The over 2.5 goals market sits at 48%, showing no strong lean towards a high-scoring match, further backed by the team's shared emphasis on possession control which often leads to lower-scoring games.

    From a betting perspective, Alemannia Aachen's win probability stands at a solid 52%, making them the clear favorite despite being the away side. With the odds aligning with their recent form and statistical edges, backing Aachen to win seems like the smart play. Look for odds around 2.00, a potential value play that leverages their current dominance on both sides of the ball.

    Wurzburger KickersWurzburger Kickers
    Form DWLL
    League ranking xG #11xGA #9xT #18xP/match #7Points #14
    Key players
    • Tarsis BongaFxG 0.51 · xT 0.06
    • Ivan FranjicLWxG 0.08 · xT 0.02
    • David AbrangaoLBxG 0.02 · xT 0.19
    Alemannia AachenAlemannia Aachen
    Form WWDLW
    League ranking xG #7xGA #4xT #10xP/match #5Points #4
    Key players
    • Faton AdemiFxG 0.47 · xT 0.07
    • Matti WagnerLWxG 0.05 · xT 0.09
    • Gideon JungCBxG 0.00 · xT 0.15

    Match prediction: Wurzburger KickersAlemannia Aachen

    Predicted score matrix

    Alemannia Aachen
    Wurzburger Kickers
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–111.1%
    0–28.9%
    0–34.6%
    0–4+2.5%
    1
    1–07.5%
    1–112.5%
    1–29.4%
    1–34.8%
    1–4+2.6%
    2
    2–04.1%
    2–16.4%
    2–24.9%
    2–32.5%
    2–4+1.4%
    3
    3–01.5%
    3–12.2%
    3–21.7%
    3–30.9%
    3–4+0.5%
    4+
    4+–00.5%
    4+–10.7%
    4+–20.6%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-111%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-08%
    Expected goals
    1,051,54
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    Over 2,548%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Alemannia Aachen to win52%
    • Under 3.5 goals74%

    Combined probability

    34%

    Fair odds

    2.95

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

    02 · 3 legs

    Balanced

    • Alemannia Aachen to win52%
    • Under 2.5 goals52%
    • Lars Timo Gindorf to score26%

    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 score52%
    • Over 2.5 goals48%
    • Lars Timo Gindorf to score26%
    • Danilo Wiebe to be booked24%

    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 · Alemannia Aachen52% probability@2.05BetsafeEV+7%reference odds
    • 2 · Alemannia Aachen52% probability@2.05BetssonEV+7%reference odds
    • 2 · Alemannia Aachen52% probability@2.05NordicbetEV+7%reference odds
    Bookmaker1 · Wurzburger KickersX2 · Alemannia Aachen
    Betsafe3.103.60
    EV+ 7%
    2.05
    Betsson3.103.60
    EV+ 7%
    2.05
    Nordicbet3.103.60
    EV+ 7%
    2.05

    Odds updated 10 Sept, 17:37

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Wurzburger Kickers
    Alemannia Aachen
    When goals are scored and conceded 2026
    Wurzburger Kickers (77)
    Alemannia Aachen (85)
    Pass networks

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

    Wurzburger Kickers
    Daniel Hagele: 161 passningar, xT 0.27HageleEbrahim Farahnak: 135 passningar, xT 0.27FarahnakJohann Hipper: 114 passningar, xT 0.25HipperDavid Kinsombi: 96 passningar, xT 0.01KinsombiLiam Omore: 95 passningar, xT 0.64OmoreLeo Eberle: 93 passningar, xT 0.17EberleDavid Abrangao: 86 passningar, xT 0.52AbrangaoIvan Franjic: 75 passningar, xT 0.04FranjicTarsis Bonga: 71 passningar, xT 0.23BongaNamrud Embaye: 56 passningar, xT -0.06EmbayeXaver Kiefersauer: 55 passningar, xT -0.02Kiefersauer
    Alemannia Aachen
    Petros Bagalianis: 225 passningar, xT 0.42BagalianisJoel Miguel da Silva Kiala: 164 passningar, xT 0.49KialaDanilo Wiebe: 143 passningar, xT 0.15WiebeStefan Bajić: 123 passningar, xT 0.22BajićLukas Scepanik: 118 passningar, xT 0.35ScepanikMehdi Loune: 103 passningar, xT 0.34LouneMatti Wagner: 90 passningar, xT 0.15WagnerGideon Jung: 77 passningar, xT 0.15JungMika Timothy Hanraths: 59 passningar, xT 0.2HanrathsJonas Oehmichen: 57 passningar, xT 0.11OehmichenMika Schroers: 45 passningar, xT 0.09Schroers
    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.

    Wurzburger Kickers
    Daniel Hagele: 161 passningar, xT 0.27HageleEbrahim Farahnak: 135 passningar, xT 0.27FarahnakJohann Hipper: 114 passningar, xT 0.25HipperDavid Kinsombi: 96 passningar, xT 0.01KinsombiLiam Omore: 95 passningar, xT 0.64OmoreLeo Eberle: 93 passningar, xT 0.17EberleDavid Abrangao: 86 passningar, xT 0.52AbrangaoIvan Franjic: 75 passningar, xT 0.04FranjicTarsis Bonga: 71 passningar, xT 0.23BongaNamrud Embaye: 56 passningar, xT -0.06EmbayeXaver Kiefersauer: 55 passningar, xT -0.02Kiefersauer
    Alemannia Aachen
    Petros Bagalianis: 225 passningar, xT 0.42BagalianisJoel Miguel da Silva Kiala: 164 passningar, xT 0.49KialaDanilo Wiebe: 143 passningar, xT 0.15WiebeStefan Bajić: 123 passningar, xT 0.22BajićLukas Scepanik: 118 passningar, xT 0.35ScepanikMehdi Loune: 103 passningar, xT 0.34LouneMatti Wagner: 90 passningar, xT 0.15WagnerGideon Jung: 77 passningar, xT 0.15JungMika Timothy Hanraths: 59 passningar, xT 0.2HanrathsJonas Oehmichen: 57 passningar, xT 0.11OehmichenMika Schroers: 45 passningar, xT 0.09Schroers

    The teams in numbers

    PerformanceWurzburger KickersAlemannia Aachen
    Points47
    xPoints6.66.6
    xG per match1.41.7
    xGA per match1.31.1
    xG within 8s of winning the ball0.40.2
    xGA within 8s of losing the ball0.240.21
    Playing styleWurzburger KickersAlemannia Aachen
    Build-up efficiency0.360.3
    Field tilt0.450.66
    xT per match0.721
    xTA per match1.20.93
    Won balls, offensive half2523
    Pressing intensity0.220.21
    Pressing efficiency0.230.35
    Pressing efficiency, offensive half0.170.28
    Entries into the box per match712
    Entries into the box against1212
    Pass completion %0.730.75
    Pass completion % under pressure0.660.7
    Passes per match299357
    Passes against per match369294
    Switches of play per match17.217.9
    Long balls per match3025
    Set piecesWurzburger KickersAlemannia Aachen
    xG from free kicks0.010.19
    Corners per match3.24
    Corners against per match3.82.7
    xG per corner0.020.02
    xGA per corner against0.020.01
    First touch, offensive corners %0.230.5
    First touch, defensive corners %0.670.55
    OtherWurzburger KickersAlemannia Aachen
    Throw-in control0.740.71
    The goalkeepersJohann Hipper (Wurzburger Kickers)Stefan Bajić (Alemannia Aachen)
    Saves159
    Save %68%64%
    xG prevented37%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wurzburger Kickers vs Alemannia Aachen according to our model?

    The model gives Alemannia Aachen a 52% win probability. Full 1X2 picture: Wurzburger Kickers 23%, draw 25%, Alemannia Aachen 52%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.