2. BundesligaMerck-Stadion am Böllenfalltor, Darmstadt22°8 km/hUpdated

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    DarmstadtDarmstadtPossession control
    vs
    The model's lean: 1 · Darmstadt (49%)
    Holstein KielHolstein KielPossession control

    DarmstadtHolstein Kiel · 2. Bundesliga

    1 · Darmstadt 49%X 24%27% Holstein Kiel · 2
    DarmstadtDarmstadt
    Form LDLDL
    League ranking xG #6xGA #12xT #8xP/match #14Points #5
    Key players
    • Isac LidbergFxG 0.45 · xT 0.04
    • Kai KlefischCMxG 0.07 · xT 0.09
    • Luca MarseilerLWxG 0.11 · xT 0.16
    Holstein KielHolstein Kiel
    Form WWWLL
    League ranking xG #16xGA #16xT #15xP/match #17Points #12
    Key players
    • Alexander BernhardssonRWxG 0.2 · xT 0.24
    • John TolkinLWxG 0.03 · xT 0.12
    • Carl JohanssonCBxG 0.08 · xT 0

    Match prediction: DarmstadtHolstein Kiel

    Predicted score matrix

    Holstein Kiel
    Darmstadt
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–16.3%
    0–24.1%
    0–31.7%
    0–4+0.7%
    1
    1–08.8%
    1–111.5%
    1–26.9%
    1–32.8%
    1–4+1.1%
    2
    2–07.7%
    2–19.5%
    2–25.8%
    2–32.4%
    2–4+1.0%
    3
    3–04.4%
    3–15.4%
    3–23.3%
    3–31.4%
    3–4+0.5%
    4+
    4+–02.7%
    4+–13.3%
    4+–22.0%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,701,23
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    Over 2,556%

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Darmstadt49% probability@2.11PinnacleEV+3%
    Bookmaker1 · DarmstadtX2 · Holstein Kiel
    Pinnacle
    EV+ 3%
    2.11
    3.753.14

    Odds updated 4 Aug, 09:03

    Analysis: DarmstadtHolstein Kiel

    Anna Karlsson · · How the predictions work

    Fifty-two points for Darmstadt against Holstein Kiel's 41 sets the stage for a clash that the bookmakers see with a slight advantage for the home side. The model agrees, giving Darmstadt a 49% chance of victory against Holstein Kiel's 27%. While these numbers are close, it's the history between these two that's revealing — Darmstadt has yet to lose to Holstein Kiel in their meetings since 2023, securing one win and a draw.

    Darmstadt's expected goals (xG) sit at 1.6 per match, slightly higher than Holstein Kiel's 1.3, underscoring the home team's more potent attack. Yet, both sides mirror each other with possession control strategies, preparing us for a potentially tactical battle rather than an open end-to-end affair. If we trust the numbers, a 1-1 draw at 11% appears slightly more likely than others, but the scales tilt ever so gently towards a Darmstadt win, with a 2-1 or 1-0 scoreline both plausible at 9%.

    Holstein Kiel might feel a touch outgunned given their expected goals against (xGA) measure of 1.7, compared to Darmstadt's 1.6. This minor defensive edge could play out significantly in a tight match. Moreover, with a 56% chance of seeing over 2.5 goals and 58% for both teams to score, there's a fair chance this won't be a defensive stalemate.

    Holstein Kiel's task isn't made any easier by the betting value on offer. With Pinnacle's odds of 2.11 on a Darmstadt win presenting an expected value edge of 3%, punters might find the home side an enticing prospect. All signs point towards Darmstadt edging this encounter, likely by a narrow 2-1 margin, and the numbers suggest a lean towards over 2.5 goals as the astute play in this spirited 2. Bundesliga matchup.

    Statistics

    Head-to-head

    2 matches
    Darmstadt 1Draw 1Holstein Kiel 0
    Goals: 31 (⌀ 2)

    Head-to-head based on 2. Bundesliga data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Darmstadt
    Holstein Kiel
    When goals are scored and conceded 2025
    Darmstadt (5745)
    Holstein Kiel (4448)
    Pass networks

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

    Darmstadt
    Kai Klefisch: 296 passningar, xT 1.18KlefischHiroki Akiyama: 279 passningar, xT 0.35AkiyamaMatej Maglica: 183 passningar, xT 0.32MaglicaMarco Richter: 139 passningar, xT 0.48RichterRaoul Petretta: 136 passningar, xT 0.06PetrettaMarcel Schuhen: 123 passningar, xT 0.18SchuhenNiklas Uwe Schmidt: 105 passningar, xT 0.43SchmidtAleksandar Vukotić: 103 passningar, xT 0.46VukotićSergio Lopez: 102 passningar, xT 0.15LopezKillian Corredor: 87 passningar, xT 0.62CorredorYosuke Furukawa: 85 passningar, xT 0.44Furukawa
    Holstein Kiel
    Marko Ivezić: 244 passningar, xT 0.12IvezićTimon Moritz Weiner: 244 passningar, xT 0.33WeinerDavid Zec: 239 passningar, xT 0ZecJonas Meffert: 200 passningar, xT 0.05MeffertLasse Rosenboom: 177 passningar, xT 0.38RosenboomIvan Nekić: 176 passningar, xT 0.2NekićUmut Deger Tohumcu: 99 passningar, xT 0.4TohumcuJonas Therkelsen: 82 passningar, xT 0.37TherkelsenFrederik Roslyng: 69 passningar, xT 0.03RoslyngStefan Schwab: 60 passningar, xT 0.19SchwabKasper Davidsen: 48 passningar, xT 0.19Davidsen
    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.

    Darmstadt
    Kai Klefisch: 296 passningar, xT 1.18KlefischHiroki Akiyama: 279 passningar, xT 0.35AkiyamaMatej Maglica: 183 passningar, xT 0.32MaglicaMarco Richter: 139 passningar, xT 0.48RichterRaoul Petretta: 136 passningar, xT 0.06PetrettaMarcel Schuhen: 123 passningar, xT 0.18SchuhenNiklas Uwe Schmidt: 105 passningar, xT 0.43SchmidtAleksandar Vukotić: 103 passningar, xT 0.46VukotićSergio Lopez: 102 passningar, xT 0.15LopezKillian Corredor: 87 passningar, xT 0.62CorredorYosuke Furukawa: 85 passningar, xT 0.44Furukawa
    Holstein Kiel
    Marko Ivezić: 244 passningar, xT 0.12IvezićTimon Moritz Weiner: 244 passningar, xT 0.33WeinerDavid Zec: 239 passningar, xT 0ZecJonas Meffert: 200 passningar, xT 0.05MeffertLasse Rosenboom: 177 passningar, xT 0.38RosenboomIvan Nekić: 176 passningar, xT 0.2NekićUmut Deger Tohumcu: 99 passningar, xT 0.4TohumcuJonas Therkelsen: 82 passningar, xT 0.37TherkelsenFrederik Roslyng: 69 passningar, xT 0.03RoslyngStefan Schwab: 60 passningar, xT 0.19SchwabKasper Davidsen: 48 passningar, xT 0.19Davidsen

    The teams in numbers

    PerformanceDarmstadtHolstein Kiel
    Points5241
    xPoints43.838.8
    xG per match1.61.3
    xGA per match1.61.7
    xG within 8s of winning the ball0.290.29
    xGA within 8s of losing the ball0.360.28
    Playing styleDarmstadtHolstein Kiel
    Build-up efficiency0.320.28
    Field tilt0.470.44
    xT per match10.79
    xTA per match1.11.1
    Won balls, offensive half2523
    Pressing intensity0.230.23
    Pressing efficiency0.280.31
    Pressing efficiency, offensive half0.320.36
    Entries into the box per match1411
    Entries into the box against1313
    Pass completion %0.790.77
    Pass completion % under pressure0.720.71
    Passes per match380354
    Passes against per match354327
    Switches of play per match29.618.3
    Long balls per match3725
    Set piecesDarmstadtHolstein Kiel
    xG from free kicks0.090.05
    Corners per match4.95.2
    Corners against per match5.64.9
    xG per corner0.10.05
    xGA per corner against0.040.07
    First touch, offensive corners %0.410.52
    First touch, defensive corners %0.510.54
    OtherDarmstadtHolstein Kiel
    Throw-in control0.730.73
    The goalkeepersMarcel Schuhen (Darmstadt)Jonas Krumrey (Holstein Kiel)
    Saves11969
    Save %74%69%
    xG prevented48%40%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Darmstadt vs Holstein Kiel according to our model?

    The model gives Darmstadt a 49% win probability. Full 1X2 picture: Darmstadt 49%, draw 24%, Holstein Kiel 27%.

    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 56% and under at 44%.

    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.