3. Liga12°4,5 mm29 km/h

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    Alemannia AachenAlemannia AachenPossession control
    vs
    Viktoria KölnViktoria KölnPossession control
    The model's lean: 1 · Alemannia Aachen (43%)Best value by the model: Under 3,5 @ 1.65 (+1 %)

    Alemannia Aachen vs Viktoria Köln · 3. Liga

    1 · Alemannia Aachen 43%X 26%31% Viktoria Köln · 2

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    Analysis: Alemannia Aachen – Viktoria Köln

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT: Four matches, two wins apiece. That's the short head-to-head history between Alemannia Aachen and Viktoria Köln since 2024. With such a small sample, the past is not a reliable guide here — form and expected goals tell us more. As the two sides prepare to clash, the visitors carry a notable momentum, arriving on the back of three consecutive victories. Yet, Aachen has a slight edge in the model probabilities, favored at 43% to take the win.

    In terms of form, Viktoria Köln's recent streak might catch your eye. However, Aachen's controlled style, mirrored by their guests, promises a tactical battle rather than a goal-filled spectacle. The expected goals (xG) reflect this nuanced contest: Aachen at 1.75, Köln at 1.42. Despite Köln's superior xG per match (1.9 to Aachen's 1.6), the hosts have been more parsimonious at the back, conceding an average of 1.1 xGA compared to Köln's 1.2.

    The model suggests a tilt towards a 1-1 stalemate as the most likely outcome (11%), with 2-1 to Aachen (9%) following closely. While over 2.5 goals appears at 61%, the expected rain at 4.5 mm could dampen scoring, though this is already accounted for in the model's numbers. Both teams' penchant for possession control might further stifle attacking opportunities, making the lower end of goal expectations plausible.

    The model's lean towards Aachen (43% vs. 31% for Köln, with 26% for a draw) reflects a solid assessment given Aachen's slight analytical edge. The dry suggestion? A 2-1 win for Aachen is within reach, with an eye towards the under, despite the numerical preference for goals.

    Alemannia AachenAlemannia Aachen
    Form LWDLW
    League ranking xG #9xGA #3xT #10xP/match #4Points #6
    Key players
    • Jonas OehmichenCAMxG 0.31 · xT 0.28
    • Louis KosterFxG 0.46 · xT 0.03
    • Lukas ScepanikRWxG 0.24 · xT 0.15
    Viktoria KölnViktoria Köln
    Form WLWWW
    League ranking xG #4xGA #6xT #16xP/match #11Points #3
    Key players
    • David OttoFxG 0.67 · xT 0.00
    • Tobias EisenhuthCBxG 0.03 · xT 0.13
    • Tim KlossCBxG 0.03 · xT 0.15

    Match prediction: Alemannia Aachen – Viktoria Köln

    Predicted score matrix

    Viktoria Köln →
    Alemannia Aachen →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–15.6%
    0–24.2%
    0–32.0%
    0–4+1.0%
    1
    1–07.1%
    1–110.7%
    1–27.4%
    1–33.5%
    1–4+1.7%
    2
    2–06.5%
    2–19.1%
    2–26.5%
    2–33.1%
    2–4+1.5%
    3
    3–03.8%
    3–15.3%
    3–23.8%
    3–31.8%
    3–4+0.9%
    4+
    4+–02.5%
    4+–13.5%
    4+–22.5%
    4+–31.2%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-27%
    4. 4.1-07%
    5. 5.2-26%
    Expected goals
    1,75–1,42
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.52
    Over 2,561%
    @1.46

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Alemannia Aachen or draw (1X)69%
    • Over 1.5 goals83%

    Combined probability

    58%

    Fair odds

    1.73

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

    02 · 3 legs

    Balanced

    • Double chance Alemannia Aachen or draw (1X)69%
    • Over 2.5 goals61%
    • Mika Schröers 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 score63%
    • Over 2.5 goals61%
    • Mika Schröers to score22%
    • 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+).

    • Under 3.561% probability@1.65BetsafeEV+1%reference odds
    • Under 3.561% probability@1.65NordicbetEV+1%reference odds
    Bookmaker1 · Alemannia AachenX2 · Viktoria Köln
    Betfair Exchange1.121.131.12
    Betsafe2.023.653.10
    Nordicbet2.023.653.10

    Odds updated 2 Oct, 07:36

    Statistics

    Head-to-head

    4 matches
    Alemannia Aachen 2Draw 0Viktoria Köln 2
    Goals: 5–6 (⌀ 2,8)

    Head-to-head based on 3. Liga data since 2024.

    Key facts

    • Viktoria Koln come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Alemannia Aachen
    Viktoria Köln
    When goals are scored and conceded — 2026
    Alemannia Aachen (11–8)
    Viktoria Köln (19–9)
    Pass networks

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

    Alemannia Aachen
    Petros Bagalianis: 286 passningar, xT 0.49BagalianisJoel Miguel da Silva Kiala: 225 passningar, xT 0.73KialaMehdi Loune: 181 passningar, xT 0.62LouneMatti Wagner: 167 passningar, xT 0.87WagnerDanilo Wiebe: 145 passningar, xT 0.19WiebeJonas Oehmichen: 133 passningar, xT 0.44OehmichenGideon Jung: 132 passningar, xT 0.19JungStefan Bajić: 121 passningar, xT 0.17BajićLukas Scepanik: 116 passningar, xT 0.8ScepanikMika Schroers: 67 passningar, xT 0.35SchroersKacper Kościerski: 58 passningar, xT 0.17Kościerski
    Viktoria Köln
    Tim Kloss: 492 passningar, xT 0.84KlossTobias Eisenhuth: 429 passningar, xT 0.57EisenhuthNiklas Swider: 342 passningar, xT 0.51SwiderTaylan Duman: 258 passningar, xT 0.12DumanArne Schulz: 252 passningar, xT 0.17SchulzMeiko Sponsel: 211 passningar, xT 0.4SponselLucas Wolf: 186 passningar, xT 0.2WolfVerthomy Schilo Boboy: 79 passningar, xT 0.04BoboyNiklas Castelle: 78 passningar, xT 0.33CastelleYannick Tonye: 68 passningar, xT 0.27TonyeDavid Otto: 66 passningar, xT 0.03Otto
    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.

    Alemannia Aachen
    Petros Bagalianis: 286 passningar, xT 0.49BagalianisJoel Miguel da Silva Kiala: 225 passningar, xT 0.73KialaMehdi Loune: 181 passningar, xT 0.62LouneMatti Wagner: 167 passningar, xT 0.87WagnerDanilo Wiebe: 145 passningar, xT 0.19WiebeJonas Oehmichen: 133 passningar, xT 0.44OehmichenGideon Jung: 132 passningar, xT 0.19JungStefan Bajić: 121 passningar, xT 0.17BajićLukas Scepanik: 116 passningar, xT 0.8ScepanikMika Schroers: 67 passningar, xT 0.35SchroersKacper Kościerski: 58 passningar, xT 0.17Kościerski
    Viktoria Köln
    Tim Kloss: 492 passningar, xT 0.84KlossTobias Eisenhuth: 429 passningar, xT 0.57EisenhuthNiklas Swider: 342 passningar, xT 0.51SwiderTaylan Duman: 258 passningar, xT 0.12DumanArne Schulz: 252 passningar, xT 0.17SchulzMeiko Sponsel: 211 passningar, xT 0.4SponselLucas Wolf: 186 passningar, xT 0.2WolfVerthomy Schilo Boboy: 79 passningar, xT 0.04BoboyNiklas Castelle: 78 passningar, xT 0.33CastelleYannick Tonye: 68 passningar, xT 0.27TonyeDavid Otto: 66 passningar, xT 0.03Otto

    The teams in numbers

    PerformanceAlemannia AachenViktoria Köln
    Points1115
    xPoints11.710
    xG per match1.61.9
    xGA per match1.11.2
    xG within 8s of winning the ball0.240.21
    xGA within 8s of losing the ball0.190.21
    Playing styleAlemannia AachenViktoria Köln
    Build-up efficiency0.310.3
    Field tilt0.610.57
    xT per match1.10.95
    xTA per match10.69
    Won balls, offensive half2525
    Pressing intensity0.220.21
    Pressing efficiency0.370.35
    Pressing efficiency, offensive half0.310.32
    Entries into the box per match1210
    Entries into the box against138
    Pass completion %0.730.83
    Pass completion % under pressure0.680.8
    Passes per match338500
    Passes against per match294283
    Switches of play per match16.118.2
    Long balls per match2530
    Set piecesAlemannia AachenViktoria Köln
    xG from free kicks0.140
    Corners per match4.75.2
    Corners against per match2.85
    xG per corner0.030.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.550.39
    First touch, defensive corners %0.450.43
    OtherAlemannia AachenViktoria Köln
    Throw-in control0.720.79
    The goalkeepersStefan Bajić (Alemannia Aachen)Arne Schulz (Viktoria Köln)
    Saves1611
    Save %67%55%
    xG prevented64%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Alemannia Aachen vs Viktoria Köln according to our model?

    The model gives Alemannia Aachen a 43% win probability. Full 1X2 picture: Alemannia Aachen 43%, draw 26%, Viktoria Köln 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.