2. BundesligaMDCC-Arena, Magdeburg22°0,1 mm20 km/h

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    MagdeburgMagdeburgCounter-attacks & crosses
    20
    Holstein KielHolstein KielPossession control
    The model's lean: 1 · Magdeburg (42%)Best value by the model: X · Draw @ 3.94 (+8 %)

    MagdeburgHolstein Kiel · 2. Bundesliga

    1 · Magdeburg 42%X 27%30% Holstein Kiel · 2

    Analysis: MagdeburgHolstein Kiel

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

    Magdeburg's counter-attacking flair meets Kiel's possession mastery, a tactical duel that frames this 2. Bundesliga clash. The model favors the hosts with a 42% win probability, pointing to their capacity to exploit transitions through crosses. Yet, Kiel's ability to dictate tempo, scoring in eight consecutive league matches, suggests they will not easily relinquish control. The numbers imply a close contest, with a 1-1 draw as the most probable outcome at 11%, followed by a narrow Magdeburg victory at 2-1 or 1-0.

    Digging deeper, Magdeburg's expected goals (xG) figure of 1.66 edges Kiel's 1.38, hinting at a marginal offensive advantage. But Kiel’s expected goals against (xGA) of 1.3 compared to Magdeburg’s 2.1 showcases the visitors' defensive solidity. Kiel's higher xPoints and xG per match figures further underline their potential to disrupt Magdeburg's home advantage. The visitors’ consistent scoring streak adds a layer of resilience to their travel plans.

    Historically, Magdeburg holds a slight edge in the limited head-to-head sample since 2023, with one win and one draw. However, two matches barely constitute a pattern, and thus, recent form and xG metrics become more telling. The hosts’ recent low point tally despite a higher model probability suggests potential vulnerability, especially if Kiel can maintain their scoring form.

    With a forecast for over 2.5 goals at 59% and a strong chance of both sides hitting the net at 61%, goals are likely despite contrasting play styles. The tactical interplay between Magdeburg's counters and Kiel's ball retention could yield a dynamic encounter, leaning towards action rather than stalemate.

    For value seekers, Bet365 offers 2.20 on over 2.5 goals, a tempting prospect given both teams’ propensity to find the back of the net. The model leans Magdeburg, but with Kiel's attacking consistency, a 2-1 scoreline feels plausible.

    MagdeburgMagdeburg
    Form WWLLW
    League ranking xG #16xGA #17xT #10xP/match #18Points #8
    Key players
    • Mateusz ZukowskiFxG 0.46 · xT 0.05
    • Barış-Fahri AtikLWxG 0.02 · xT 0.23
    • Falko MichelFxG 0.14 · xT -0.02
    Holstein KielHolstein Kiel
    Form WLLDD
    League ranking xG #2xGA #6xT #4xP/match #5Points #13
    Key players
    • Guillermo BalziRWxG 0.32 · xT 0.11
    • Jonas MeffertCAMxG 0.05 · xT 0.08
    • Hiroki SekineRBxG 0.17 · xT 0.11
    Final score
    20
    The model called the outcome
    Predicted probabilities: Magdeburg 42% · Draw 27% · Holstein Kiel 30%

    Match prediction: MagdeburgHolstein Kiel

    Predicted score matrix

    Holstein Kiel
    Magdeburg
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–16.3%
    0–24.5%
    0–32.1%
    0–4+1.0%
    1
    1–07.6%
    1–111.3%
    1–27.5%
    1–33.5%
    1–4+1.6%
    2
    2–06.6%
    2–19.1%
    2–26.3%
    2–32.9%
    2–4+1.3%
    3
    3–03.7%
    3–15.0%
    3–23.5%
    3–31.6%
    3–4+0.7%
    4+
    4+–02.2%
    4+–13.0%
    4+–22.1%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.2-07%
    Expected goals
    1,661,38
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    Over 2,559%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Magdeburg or draw (1X)69%
    • Over 1.5 goals81%

    Combined probability

    56%

    Fair odds

    1.79

    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 (1X)69%
    • Over 2.5 goals59%
    • Mateusz Żukowski to score27%

    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 score61%
    • Over 2.5 goals59%
    • Mateusz Żukowski to score27%
    • David Zec to be booked23%

    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+).

    • X · Draw27% probability@3.94PinnacleEV+8%reference odds
    • Under 3.564% probability@1.68PinnacleEV+7%reference odds
    • 2 · Holstein Kiel30% probability@3.43PinnacleEV+4%reference odds
    Bookmaker1 · MagdeburgX2 · Holstein Kiel
    Pinnacle2.05
    EV+ 8%
    3.94
    EV+ 4%
    3.43

    Odds updated 30 Aug, 10:32

    Odds movement

    Market signal

    The market has moved clearly towards a Magdeburg win since 22 August — the odds have shortened from 2.21 to 2.05 (−7%).

    1-7 %
    48 %43 %

    2.212.05

    X+5 %
    28 %23 %

    3.743.94

    2+13 %
    32 %27 %

    3.043.43

    Pinnacle · 13 recorded price levels · 22/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Magdeburg 1Draw 1Holstein Kiel 0
    Goals: 64 (⌀ 5)

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

    Key facts

    • Holstein Kiel have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Magdeburg
    Holstein Kiel
    When goals are scored and conceded 2026
    Magdeburg (46)
    Holstein Kiel (44)
    Pass networks

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

    Magdeburg
    Dominik Reimann: 132 passningar, xT 0.13ReimannAnselmo García MacNulty: 126 passningar, xT 0.15MacNultyTobias Müller: 88 passningar, xT 0.1MüllerLuka Hyrylainen: 87 passningar, xT 0.54HyrylainenFalko Michel: 75 passningar, xT 0MichelAlexander Nollenberger: 71 passningar, xT 0.09NollenbergerBarış-Fahri Atik: 62 passningar, xT 0.44AtikPierre Nadjombe: 49 passningar, xT 0.1NadjombePaul Jaeckel: 49 passningar, xT 0.01JaeckelEmmanuel Edosa Iyoha: 48 passningar, xT -0.09IyohaMateusz Zukowski: 19 passningar, xT 0.09Zukowski
    Holstein Kiel
    Hiroki Sekine: 132 passningar, xT 0.18SekineTimon Moritz Weiner: 104 passningar, xT 0.05WeinerJonas Meffert: 103 passningar, xT 0.13MeffertDavid Zec: 94 passningar, xT -0.03ZecLeon Parduzi: 91 passningar, xT 0.24ParduziIvan Nekić: 81 passningar, xT 0.06NekićGuillermo Balzi: 77 passningar, xT 0.16BalziKasper Davidsen: 53 passningar, xT 0.39DavidsenAdrián Kaprálik: 36 passningar, xT 0.3KaprálikAlexander Bernhardsson: 36 passningar, xT 0.59BernhardssonPhil Harres: 20 passningar, xT -0.07Harres
    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.

    Magdeburg
    Dominik Reimann: 132 passningar, xT 0.13ReimannAnselmo García MacNulty: 126 passningar, xT 0.15MacNultyTobias Müller: 88 passningar, xT 0.1MüllerLuka Hyrylainen: 87 passningar, xT 0.54HyrylainenFalko Michel: 75 passningar, xT 0MichelAlexander Nollenberger: 71 passningar, xT 0.09NollenbergerBarış-Fahri Atik: 62 passningar, xT 0.44AtikPierre Nadjombe: 49 passningar, xT 0.1NadjombePaul Jaeckel: 49 passningar, xT 0.01JaeckelEmmanuel Edosa Iyoha: 48 passningar, xT -0.09IyohaMateusz Zukowski: 19 passningar, xT 0.09Zukowski
    Holstein Kiel
    Hiroki Sekine: 132 passningar, xT 0.18SekineTimon Moritz Weiner: 104 passningar, xT 0.05WeinerJonas Meffert: 103 passningar, xT 0.13MeffertDavid Zec: 94 passningar, xT -0.03ZecLeon Parduzi: 91 passningar, xT 0.24ParduziIvan Nekić: 81 passningar, xT 0.06NekićGuillermo Balzi: 77 passningar, xT 0.16BalziKasper Davidsen: 53 passningar, xT 0.39DavidsenAdrián Kaprálik: 36 passningar, xT 0.3KaprálikAlexander Bernhardsson: 36 passningar, xT 0.59BernhardssonPhil Harres: 20 passningar, xT -0.07Harres

    The teams in numbers

    PerformanceMagdeburgHolstein Kiel
    Points32
    xPoints1.73.4
    xG per match12
    xGA per match2.11.3
    xG within 8s of winning the ball0.20.26
    xGA within 8s of losing the ball0.380.36
    Playing styleMagdeburgHolstein Kiel
    Build-up efficiency0.310.28
    Field tilt0.410.65
    xT per match0.991.4
    xTA per match1.11.2
    Won balls, offensive half2026
    Pressing intensity0.250.23
    Pressing efficiency0.290.32
    Pressing efficiency, offensive half0.220.3
    Entries into the box per match1212
    Entries into the box against1210
    Pass completion %0.80.78
    Pass completion % under pressure0.720.72
    Passes per match428422
    Passes against per match361296
    Switches of play per match45.212.5
    Long balls per match5524
    Set piecesMagdeburgHolstein Kiel
    xG from free kicks0.020.21
    Corners per match7.54.5
    Corners against per match46.5
    xG per corner0.030.04
    xGA per corner against0.020.01
    First touch, offensive corners %0.60.22
    First touch, defensive corners %0.620.69
    OtherMagdeburgHolstein Kiel
    Throw-in control0.790.76
    The goalkeepersDominik Reimann (Magdeburg)Timon Moritz Weiner (Holstein Kiel)
    Saves115
    Save %65%56%
    xG prevented49%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Magdeburg vs Holstein Kiel according to our model?

    The model gives Magdeburg a 42% win probability. Full 1X2 picture: Magdeburg 42%, draw 27%, Holstein Kiel 30%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.