3. Liga18°0,1 mm13 km/h

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    Alemannia AachenAlemannia AachenPossession control
    vs
    Jahn RegensburgJahn RegensburgLow block & direct
    The model's lean: 1 · Alemannia Aachen (51%)Best value by the model: Under 3,5 @ 1.68 (+9 %)

    Alemannia AachenJahn Regensburg · 3. Liga

    1 · Alemannia Aachen 51%X 24%24% Jahn Regensburg · 2

    Analysis: Alemannia AachenJahn Regensburg

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

    Alemannia Aachen are poised as the slight favorites tomorrow against Jahn Regensburg, with a model probability giving them a 51% chance of victory. This edge is reflected in their recent performance metrics, with a noticeable advantage in expected goals and xPoints over their visitors. Jahn Regensburg, on the other hand, are on a concerning three-game losing streak, and their defensive frailties are evident with an xGA per match of 2.1. The tension in this matchup lies in whether Regensburg can defy their current form against a team that seems to have the upper hand on paper.

    Despite Aachen's apparent dominance, the most likely scoreline remains a 1-1 draw at 11%, suggesting that while the hosts are favored, Regensburg aren't pushovers. Aachen's possession-based style might find success against the visitors' low defense, but their finishing will need to be precise. Meanwhile, Regensburg's direct approach could exploit any lapses in Aachen's control-oriented game, though their scoring potential remains limited with an xG of just 1.19.

    Interestingly, the model sees a 57% chance for over 2.5 goals, yet the expected goals suggest a more conservative affair, with Aachen at 1.80 and Regensburg at 1.19. A tight contest is likely, with the 1-0 or 2-1 scorelines for Aachen also in the mix. Given this backdrop, the under 2.5 goals market offers a compelling value bet at odds of 2.52 with Betsafe, Betsson, and Nordicbet, presenting a 7% edge based on the model's 43% probability.

    The head-to-head history is limited, with just two encounters since 2024, each side winning once, which offers little predictive power compared to current form and expected goals. If you're looking to capitalize on market inefficiencies, the under 2.5 goals bet stands out as the sharpest angle, especially with the recent trends and defensive vulnerabilities on display.

    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
    Jahn RegensburgJahn Regensburg
    Form LWLLL
    League ranking xG #18xGA #20xT #8xP/match #19Points #18
    Key players
    • Lucas HermesFxG 0.26 · xT 0.14
    • Adrian FeinCAMxG 0.29 · xT 0.19
    • David PhilippRWxG 0.14 · xT 0.16

    Match prediction: Alemannia AachenJahn Regensburg

    Predicted score matrix

    Jahn Regensburg
    Alemannia Aachen
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–15.7%
    0–23.6%
    0–31.4%
    0–4+0.5%
    1
    1–08.7%
    1–111.1%
    1–26.4%
    1–32.5%
    1–4+1.0%
    2
    2–08.1%
    2–19.7%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–04.9%
    3–15.8%
    3–23.5%
    3–31.4%
    3–4+0.5%
    4+
    4+–03.3%
    4+–13.9%
    4+–22.3%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,801,19
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.52EV+7%
    Over 2,557%
    @1.47

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Alemannia Aachen to win51%
    • Over 1.5 goals80%

    Combined probability

    43%

    Fair odds

    2.35

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

    02 · 3 legs

    Balanced

    • Alemannia Aachen to win51%
    • Over 2.5 goals57%
    • Lars Timo Gindorf to score35%

    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 score58%
    • Over 2.5 goals57%
    • Lars Timo Gindorf to score35%
    • Leopold Wurm to be booked22%

    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 3.565% probability@1.68PinnacleEV+9%reference odds
    • Under 2.543% probability@2.52BetsafeEV+7%reference odds
    • Under 2.543% probability@2.52BetssonEV+7%reference odds
    Bookmaker1 · Alemannia AachenX2 · Jahn Regensburg
    Betsafe1.803.803.70
    Betsson1.803.803.70
    Nordicbet1.803.803.70
    Pinnacle1.794.113.90

    Odds updated 11 Sept, 16:31

    Odds movement

    1+6 %
    56 %51 %

    1.681.79

    X-1 %
    25 %20 %

    4.154.11

    2-6 %
    26 %21 %

    4.153.90

    Pinnacle · 9 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Alemannia Aachen 1Draw 0Jahn Regensburg 1
    Goals: 33 (⌀ 3)

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

    Key facts

    • Jahn Regensburg have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Alemannia Aachen
    Jahn Regensburg
    When goals are scored and conceded 2026
    Alemannia Aachen (85)
    Jahn Regensburg (710)
    Pass networks

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

    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
    Jahn Regensburg
    Adrian Fein: 240 passningar, xT 0.51FeinFelix Strauß: 213 passningar, xT 0.35StraußLeopold Wurm: 212 passningar, xT 0.43WurmHannes Steffen Hermann: 117 passningar, xT 0.14HermannBenedikt Bauer: 110 passningar, xT 0.48BauerOscar Schönfelder: 108 passningar, xT 1.18SchönfelderErik Majetschak: 86 passningar, xT -0.02MajetschakNassim Boujellab: 80 passningar, xT 0.06BoujellabSascha Hingerl: 59 passningar, xT -0.03HingerlDavid Philipp: 52 passningar, xT 0.54PhilippLucas Hermes: 39 passningar, xT 0Hermes
    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: 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
    Jahn Regensburg
    Adrian Fein: 240 passningar, xT 0.51FeinFelix Strauß: 213 passningar, xT 0.35StraußLeopold Wurm: 212 passningar, xT 0.43WurmHannes Steffen Hermann: 117 passningar, xT 0.14HermannBenedikt Bauer: 110 passningar, xT 0.48BauerOscar Schönfelder: 108 passningar, xT 1.18SchönfelderErik Majetschak: 86 passningar, xT -0.02MajetschakNassim Boujellab: 80 passningar, xT 0.06BoujellabSascha Hingerl: 59 passningar, xT -0.03HingerlDavid Philipp: 52 passningar, xT 0.54PhilippLucas Hermes: 39 passningar, xT 0Hermes

    The teams in numbers

    PerformanceAlemannia AachenJahn Regensburg
    Points73
    xPoints6.63.7
    xG per match1.71.1
    xGA per match1.12.1
    xG within 8s of winning the ball0.20.16
    xGA within 8s of losing the ball0.210.14
    Playing styleAlemannia AachenJahn Regensburg
    Build-up efficiency0.30.3
    Field tilt0.660.49
    xT per match11.2
    xTA per match0.931.1
    Won balls, offensive half2323
    Pressing intensity0.210.22
    Pressing efficiency0.350.28
    Pressing efficiency, offensive half0.280.22
    Entries into the box per match1212
    Entries into the box against1216
    Pass completion %0.750.76
    Pass completion % under pressure0.70.71
    Passes per match357342
    Passes against per match294396
    Switches of play per match17.918.6
    Long balls per match2528
    Set piecesAlemannia AachenJahn Regensburg
    xG from free kicks0.190.04
    Corners per match43.2
    Corners against per match2.75.2
    xG per corner0.020.02
    xGA per corner against0.010.07
    First touch, offensive corners %0.50.31
    First touch, defensive corners %0.550.4
    OtherAlemannia AachenJahn Regensburg
    Throw-in control0.710.66
    The goalkeepersStefan Bajić (Alemannia Aachen)Hannes Steffen Hermann (Jahn Regensburg)
    Saves912
    Save %64%55%
    xG prevented59%34%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Alemannia Aachen vs Jahn Regensburg according to our model?

    The model gives Alemannia Aachen a 51% win probability. Full 1X2 picture: Alemannia Aachen 51%, draw 24%, Jahn Regensburg 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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.