2. BundesligaMerck-Stadion am Böllenfalltor, Darmstadt7°11 km/h

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    DarmstadtDarmstadtLow block & direct
    vs
    MagdeburgMagdeburgCounter-attacks & crosses
    The model's lean: 2 · Magdeburg (41%)

    Darmstadt vs Magdeburg · 2. Bundesliga

    1 · Darmstadt 33%X 27%41% Magdeburg · 2

    Prediction summary

    BetBuilders AI model prediction for Darmstadt vs Magdeburg (2. Bundesliga, Saturday, 31 October 2026): Darmstadt win 33%, draw 27%, Magdeburg win 41%. Expected goals (xG): Darmstadt 1.28, Magdeburg 1.66. Most likely score: 1-1 (12%). Over 2.5 goals 57%, both teams to score 59%. Double chance: Darmstadt or draw 59%, Magdeburg or draw 67%. Prediction updated Friday, 23 October 2026.

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    Analysis: Darmstadt – Magdeburg

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

    TEXT: Darmstadt's defense has been porous this season, conceding an average of 1.7 expected goals against per match. Their defensive frailties might be further exposed as they face a Magdeburg side known for their counter-attacks and crosses. With only 7 points to their name compared to Magdeburg's 13, the hosts find themselves on the back foot both in terms of form and playing style.

    The head-to-head record since 2023 doesn't paint a promising picture for Darmstadt either. Although the sample is small, with just four matches, the hosts haven't secured a victory, managing only two draws while losing the other two encounters. This history aligns with the model's probabilities, which give Magdeburg a 41% chance of triumph—a noticeable edge over Darmstadt's 33%.

    Expected goals further underscore the challenge for Darmstadt, with Magdeburg registering a higher xG of 1.66 compared to Darmstadt's 1.28. The visitors also boast a slightly better xPoints tally (9.0) than the hosts (8.9), indicating a consistent edge in overall performance this season. The most likely scorelines of 1-1 and 1-2 suggest a tight contest but lean toward a Magdeburg victory, especially given their proficiency in exploiting defensive gaps.

    Given the numbers, this match seems more likely to edge over 2.5 goals, with a 57% probability, and a 59% chance of both teams finding the net. The attacking intent of Magdeburg and the defensive vulnerabilities of Darmstadt could lead to an open game. While no outcome is guaranteed, the model's lean toward Magdeburg reflects the visitors' favorable position in this matchup.

    DarmstadtDarmstadt
    Form LWLWL
    League ranking xG #18xGA #14xT #18xP/match #18Points #17
    Key players
    • Florian KleinhanslLWBxG 0.01 · xT 0.10
    • Ho-Jae LeeRWxG 0.31 · xT 0.02
    • Kai KlefischCMxG 0.09 · xT 0.02
    MagdeburgMagdeburg
    Form LWDWL
    League ranking xG #17xGA #11xT #9xP/match #17Points #6
    Key players
    • Barış-Fahri AtikLWxG 0.12 · xT 0.20
    • Anselmo García MacNultyCBxG 0.03 · xT 0.12
    • Moritz-Broni KwartengCAMxG 0.10 · xT 0.06

    Match prediction: Darmstadt – Magdeburg

    Predicted score matrix

    Magdeburg →
    Darmstadt →
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–18.4%
    0–27.3%
    0–34.0%
    0–4+2.4%
    1
    1–06.4%
    1–111.5%
    1–29.3%
    1–35.2%
    1–4+3.1%
    2
    2–04.3%
    2–17.2%
    2–26.0%
    2–33.3%
    2–4+2.0%
    3
    3–01.8%
    3–13.1%
    3–22.6%
    3–31.4%
    3–4+0.9%
    4+
    4+–00.8%
    4+–11.3%
    4+–21.1%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.0-27%
    5. 5.2-17%
    Expected goals
    1,28–1,66
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,543%
    –
    Over 2,557%
    –

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    01 · 2 legs

    Safe

    • Double chance Magdeburg or draw (X2)71%
    • Over 1.5 goals80%

    Combined probability

    57%

    Fair odds

    1.76

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

    02 · 3 legs

    Balanced

    • Double chance Magdeburg or draw (X2)71%
    • Over 2.5 goals57%
    • Mateusz Żukowski to score28%

    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 score59%
    • Over 2.5 goals57%
    • Mateusz Żukowski to score28%
    • Luka-Mikael Hyryläinen to be booked21%

    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

    No odds available yet.

    Statistics

    Head-to-head

    4 matches
    Darmstadt 0Draw 2Magdeburg 2
    Goals: 3–7 (⌀ 2,5)

    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
    Magdeburg
    When goals are scored and conceded — 2026
    Darmstadt (8–18)
    Magdeburg (14–11)
    Pass networks

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

    Darmstadt
    Kai Klefisch: 228 passningar, xT 0.28KlefischPatric Pfeiffer: 210 passningar, xT 0.44PfeifferRaoul Petretta: 166 passningar, xT 0.35PetrettaMarcel Schuhen: 144 passningar, xT 0.03SchuhenAleksandar Vukotić: 132 passningar, xT 0.18VukotićChristopher Lannert: 88 passningar, xT 0.12LannertHiroki Akiyama: 86 passningar, xT 0.11AkiyamaYannik Luka Lührs: 82 passningar, xT 0.21LührsLance Duijvestijn: 68 passningar, xT 0.17DuijvestijnWilliam Mikelbrencis: 65 passningar, xT 0.11MikelbrencisNoah Raphael Weißhaupt: 60 passningar, xT 0.9Weißhaupt
    Magdeburg
    Anselmo García MacNulty: 403 passningar, xT 0.76MacNultyDominik Reimann: 288 passningar, xT 0.3ReimannTobias Müller: 244 passningar, xT 0.43MüllerHerbert Bockhorn: 191 passningar, xT 0.15BockhornBarış-Fahri Atik: 185 passningar, xT 0.76AtikLuka Hyrylainen: 161 passningar, xT 0.09HyrylainenFalko Michel: 152 passningar, xT 0.14MichelMoritz-Broni Kwarteng: 149 passningar, xT 0.25KwartengAlexander Nollenberger: 126 passningar, xT 0.59NollenbergerTorben Müsel: 117 passningar, xT -0.03MüselEmmanuel Edosa Iyoha: 94 passningar, xT 0.08Iyoha
    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: 228 passningar, xT 0.28KlefischPatric Pfeiffer: 210 passningar, xT 0.44PfeifferRaoul Petretta: 166 passningar, xT 0.35PetrettaMarcel Schuhen: 144 passningar, xT 0.03SchuhenAleksandar Vukotić: 132 passningar, xT 0.18VukotićChristopher Lannert: 88 passningar, xT 0.12LannertHiroki Akiyama: 86 passningar, xT 0.11AkiyamaYannik Luka Lührs: 82 passningar, xT 0.21LührsLance Duijvestijn: 68 passningar, xT 0.17DuijvestijnWilliam Mikelbrencis: 65 passningar, xT 0.11MikelbrencisNoah Raphael Weißhaupt: 60 passningar, xT 0.9Weißhaupt
    Magdeburg
    Anselmo García MacNulty: 403 passningar, xT 0.76MacNultyDominik Reimann: 288 passningar, xT 0.3ReimannTobias Müller: 244 passningar, xT 0.43MüllerHerbert Bockhorn: 191 passningar, xT 0.15BockhornBarış-Fahri Atik: 185 passningar, xT 0.76AtikLuka Hyrylainen: 161 passningar, xT 0.09HyrylainenFalko Michel: 152 passningar, xT 0.14MichelMoritz-Broni Kwarteng: 149 passningar, xT 0.25KwartengAlexander Nollenberger: 126 passningar, xT 0.59NollenbergerTorben Müsel: 117 passningar, xT -0.03MüselEmmanuel Edosa Iyoha: 94 passningar, xT 0.08Iyoha

    The teams in numbers

    PerformanceDarmstadtMagdeburg
    Points713
    xPoints8.99
    xG per match0.921.1
    xGA per match1.71.5
    xG within 8s of winning the ball0.180.13
    xGA within 8s of losing the ball0.350.2
    Playing styleDarmstadtMagdeburg
    Build-up efficiency0.320.31
    Field tilt0.330.49
    xT per match0.660.97
    xTA per match1.40.94
    Won balls, offensive half2621
    Pressing intensity0.250.23
    Pressing efficiency0.250.26
    Pressing efficiency, offensive half0.180.21
    Entries into the box per match911
    Entries into the box against2011
    Pass completion %0.750.81
    Pass completion % under pressure0.730.75
    Passes per match325437
    Passes against per match452357
    Switches of play per match21.948.7
    Long balls per match2751
    Set piecesDarmstadtMagdeburg
    xG from free kicks0.050.01
    Corners per match4.85.4
    Corners against per match7.44
    xG per corner0.030.02
    xGA per corner against0.010.06
    First touch, offensive corners %0.450.47
    First touch, defensive corners %0.510.53
    OtherDarmstadtMagdeburg
    Throw-in control0.710.78
    The goalkeepersMarcel Schuhen (Darmstadt)Dominik Reimann (Magdeburg)
    Saves3130
    Save %63%73%
    xG prevented39%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Darmstadt vs Magdeburg according to our model?

    The model gives Magdeburg a 41% win probability. Full 1X2 picture: Darmstadt 33%, draw 27%, Magdeburg 41%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Darmstadt vs Magdeburg?

    The model expects 1.28 goals (xG) for Darmstadt and 1.66 for Magdeburg, 2.95 in total.

    What does the model say about double chance?

    Darmstadt or draw (1X) 59%, Magdeburg or draw (X2) 67% and no draw (12) 73%.

    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.