3. Liga11°6,1 mm19 km/h

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    Alemannia AachenAlemannia AachenPossession control
    2–0
    Hansa RostockHansa RostockPossession control
    The model's lean: 1 · Alemannia Aachen (50%)

    Alemannia Aachen vs Hansa Rostock · 3. Liga

    1 · Alemannia Aachen 50%X 26%24% Hansa Rostock · 2

    Prediction summary

    Final score 2–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Alemannia Aachen vs Hansa Rostock (3. Liga, Saturday, 17 October 2026): Alemannia Aachen win 50%, draw 26%, Hansa Rostock win 24%. Expected goals (xG): Alemannia Aachen 1.79, Hansa Rostock 1.37. Most likely score: 1-1 (11%). Over 2.5 goals 61%, both teams to score 63%. Double chance: Alemannia Aachen or draw 76%, Hansa Rostock or draw 50%. Prediction updated Friday, 9 October 2026.

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    Analysis: Alemannia Aachen – Hansa Rostock

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

    Alemannia Aachen’s dominant home presence has caught attention ahead of their clash with Hansa Rostock. The hosts have not been defeated by the visitors since 2024, boasting two wins and two draws. While this head-to-head sample is small, it underscores Aachen's ability to hold their ground against Rostock. Their knack for possession control could be pivotal, especially given their slight underperformance in terms of actual points compared to expected points.

    The model gives Aachen a 50% chance to win, suggesting a favorable outcome for the home side despite trailing Rostock by four points in the league. The expected goals figures—Aachen's 1.79 against Rostock's 1.37—further bolster the case for a successful evening at home, where the hosts have been effective in both attack and defense.

    However, the match is forecasted to see some rain, which often suppresses goal scoring, but both teams' emphasis on possession might negate some of this impact. With a model probability of 61% for over 2.5 goals and 63% for both teams to score, the expectation is for an open, competitive encounter.

    Despite Rostock's slight statistical edge in terms of xPoints and xG per match, Aachen's home advantage and historical resilience against their opponents are significant. The most likely outcomes are a draw or a narrow victory for Aachen, with 1-1 and 2-1 being the favored scorelines by the model.

    The sharpest betting angle is the home win at odds of 2.45 with multiple bookmakers, including Betsafe, LeoVegas, and Nordicbet. Given the model rates Aachen's chances at 50%, this presents a substantial 22% value edge. The numbers suggest siding with Aachen, as they look poised to leverage their home ground advantage and recent form against a Rostock side that, despite some statistical advantages, has struggled to secure victories in this matchup.

    Alemannia AachenAlemannia Aachen
    Form DLWLL
    League ranking xG #9xGA #11xT #10xP/match #9Points #11
    Key players
    • Lukas ScepanikRWxG 0.24 · xT 0.12
    • Matti WagnerLWBxG 0.04 · xT 0.22
    • Joel Miguel da Silva KialaCBxG 0.04 · xT 0.11
    Hansa RostockHansa Rostock
    Form LWDWL
    League ranking xG #6xGA #8xT #9xP/match #6Points #4
    Key players
    • Florian CarstensCBxG 0.13 · xT 0.11
    • Lukas WallnerCBxG 0.30 · xT 0.11
    • Bernie LennemannRWxG 0.32 · xT 0.13
    Final score
    2 – 0
    The model called the outcome
    Predicted probabilities: Alemannia Aachen 50% · Draw 26% · Hansa Rostock 24%

    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 - Alemannia AachenBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,67fair 5,92+13 %
    Miss
    Matchresultat - Hansa RostockBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,71fair 10,17-44 %
    Miss

    Match prediction: Alemannia Aachen – Hansa Rostock

    Predicted score matrix

    Hansa Rostock →
    Alemannia Aachen →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–15.5%
    0–24.0%
    0–31.8%
    0–4+0.8%
    1
    1–07.3%
    1–110.7%
    1–27.1%
    1–33.3%
    1–4+1.5%
    2
    2–06.8%
    2–19.3%
    2–26.4%
    2–32.9%
    2–4+1.4%
    3
    3–04.1%
    3–15.6%
    3–23.8%
    3–31.7%
    3–4+0.8%
    4+
    4+–02.7%
    4+–13.7%
    4+–22.6%
    4+–31.2%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-07%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,79–1,37
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.75EV+7%
    Over 2,561%
    @1.55

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Alemannia Aachen to win50%
    • Over 1.5 goals83%

    Combined probability

    40%

    Fair odds

    2.51

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

    02 · 3 legs

    Balanced

    • Alemannia Aachen to win50%
    • Over 2.5 goals61%
    • Lukas Scepanik 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 score63%
    • Over 2.5 goals61%
    • Lukas Scepanik to score26%
    • Marco Schuster to be booked26%

    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+).

    • 1 · Alemannia Aachen50% probability@2.83PinnacleEV+41%reference odds
    • 1 · Alemannia Aachen50% probability@2.72BetsafeEV+36%reference odds
    • 1 · Alemannia Aachen50% probability@2.72NordicbetEV+36%reference odds
    Bookmaker1 · Alemannia AachenX2 · Hansa Rostock
    Bet365
    EV+ 22%
    2.45
    3.502.35
    Betsafe
    EV+ 36%
    2.72
    3.452.30
    LeoVegas
    EV+ 32%
    2.65
    3.502.30
    Nordicbet
    EV+ 36%
    2.72
    3.452.30
    Paddy Power
    EV+ 15%
    2.30
    3.752.45
    Pinnacle
    EV+ 41%
    2.83
    3.582.37

    Odds updated 17 Oct, 13:38

    Odds movement

    1+12 %
    38 %33 %

    2.53 → 2.83

    X0 %
    29 %24 %

    3.59 → 3.58

    2-6 %
    41 %36 %

    2.52 → 2.37

    Pinnacle · 9 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Alemannia Aachen 2Draw 2Hansa Rostock 0
    Goals: 7–5 (⌀ 3)

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

    xG & xGA per match — 3-game rolling average

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

    Alemannia Aachen
    Hansa Rostock
    When goals are scored and conceded — 2026
    Alemannia Aachen (13–16)
    Hansa Rostock (17–17)
    Pass networks

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

    Alemannia Aachen
    Joel Miguel da Silva Kiala: 221 passningar, xT 0.46KialaPetros Bagalianis: 203 passningar, xT 0.24BagalianisMehdi Loune: 152 passningar, xT 0.46LouneMatti Wagner: 137 passningar, xT 1.17WagnerDylan Leonard: 126 passningar, xT 0.21LeonardManuel Riemann-Lorenzen: 99 passningar, xT 0.2Riemann-LorenzenDanilo Wiebe: 83 passningar, xT 0.18WiebeLukas Scepanik: 77 passningar, xT 0.55ScepanikJonas Oehmichen: 76 passningar, xT 0.33OehmichenGideon Jung: 56 passningar, xT 0.04JungMika Schroers: 52 passningar, xT 0.23Schroers
    Hansa Rostock
    Florian Carstens: 258 passningar, xT 0.52CarstensKenan Fatkic: 219 passningar, xT 0.55FatkicMarco Schuster: 179 passningar, xT 0.13SchusterAhmet Gurleyen: 176 passningar, xT 0.32GurleyenLuca Unbehaun: 151 passningar, xT 0.26UnbehaunNiklas Kolle: 143 passningar, xT 1.01KolleDavid Kopacz: 87 passningar, xT 0.16KopaczLeon Dajaku: 86 passningar, xT 0.73DajakuOuassim Karada: 73 passningar, xT 0.89KaradaFlorian Bohnert: 69 passningar, xT 0.14BohnertBenno Dietze: 55 passningar, xT 0.01Dietze
    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
    Joel Miguel da Silva Kiala: 221 passningar, xT 0.46KialaPetros Bagalianis: 203 passningar, xT 0.24BagalianisMehdi Loune: 152 passningar, xT 0.46LouneMatti Wagner: 137 passningar, xT 1.17WagnerDylan Leonard: 126 passningar, xT 0.21LeonardManuel Riemann-Lorenzen: 99 passningar, xT 0.2Riemann-LorenzenDanilo Wiebe: 83 passningar, xT 0.18WiebeLukas Scepanik: 77 passningar, xT 0.55ScepanikJonas Oehmichen: 76 passningar, xT 0.33OehmichenGideon Jung: 56 passningar, xT 0.04JungMika Schroers: 52 passningar, xT 0.23Schroers
    Hansa Rostock
    Florian Carstens: 258 passningar, xT 0.52CarstensKenan Fatkic: 219 passningar, xT 0.55FatkicMarco Schuster: 179 passningar, xT 0.13SchusterAhmet Gurleyen: 176 passningar, xT 0.32GurleyenLuca Unbehaun: 151 passningar, xT 0.26UnbehaunNiklas Kolle: 143 passningar, xT 1.01KolleDavid Kopacz: 87 passningar, xT 0.16KopaczLeon Dajaku: 86 passningar, xT 0.73DajakuOuassim Karada: 73 passningar, xT 0.89KaradaFlorian Bohnert: 69 passningar, xT 0.14BohnertBenno Dietze: 55 passningar, xT 0.01Dietze

    The teams in numbers

    PerformanceAlemannia AachenHansa Rostock
    Points1115
    xPoints12.914
    xG per match1.61.8
    xGA per match1.51.4
    xG within 8s of winning the ball0.270.17
    xGA within 8s of losing the ball0.310.22
    Playing styleAlemannia AachenHansa Rostock
    Build-up efficiency0.310.28
    Field tilt0.60.52
    xT per match11.1
    xTA per match1.10.97
    Won balls, offensive half2424
    Pressing intensity0.220.23
    Pressing efficiency0.340.26
    Pressing efficiency, offensive half0.30.21
    Entries into the box per match1213
    Entries into the box against1311
    Pass completion %0.730.74
    Pass completion % under pressure0.690.67
    Passes per match334335
    Passes against per match317361
    Switches of play per match16.223.5
    Long balls per match2538
    Set piecesAlemannia AachenHansa Rostock
    xG from free kicks0.110.02
    Corners per match5.15.8
    Corners against per match3.44.2
    xG per corner0.030.06
    xGA per corner against0.040.06
    First touch, offensive corners %0.570.5
    First touch, defensive corners %0.550.55
    OtherAlemannia AachenHansa Rostock
    Throw-in control0.740.81
    The goalkeepersStefan Bajić (Alemannia Aachen)Luca Unbehaun (Hansa Rostock)
    Saves1626
    Save %67%61%
    xG prevented64%30%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Alemannia Aachen vs Hansa Rostock according to our model?

    The model gives Alemannia Aachen a 50% win probability. Full 1X2 picture: Alemannia Aachen 50%, draw 26%, Hansa Rostock 24%.

    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.

    How many goals are expected in Alemannia Aachen vs Hansa Rostock?

    The model expects 1.79 goals (xG) for Alemannia Aachen and 1.37 for Hansa Rostock, 3.16 in total.

    What does the model say about double chance?

    Alemannia Aachen or draw (1X) 76%, Hansa Rostock or draw (X2) 50% and no draw (12) 74%.

    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.