2. BundesligaOlympiastadion, Berlin17°16 km/h

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    Hertha BerlinHertha BerlinPossession control
    vs
    MagdeburgMagdeburgCounter-attacks & crosses
    The model's lean: 1 · Hertha Berlin (44%)Best value by the model: Under 3,5 @ 1.70 (+8 %)

    Hertha BerlinMagdeburg · 2. Bundesliga

    1 · Hertha Berlin 44%X 27%29% Magdeburg · 2

    Analysis: Hertha BerlinMagdeburg

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

    Hertha Berlin enter this match with a clear momentum advantage, riding a wave of three consecutive victories. This edge is underscored by their superior xPoints and xG metrics, which suggest they’ve outperformed Magdeburg not just in results but in the underlying numbers as well. The model gives them a 44% chance of winning compared to Magdeburg's 29%, with the hosts' control of possession likely to dictate the tempo.

    However, the head-to-head record tells a different story, albeit from a small sample of four games: Magdeburg have actually gotten the better of Hertha twice, losing only once. This history injects a note of caution into any assumption that the hosts will easily carry the day. Magdeburg's counter-attacking style, leveraging crosses, poses a threat despite their lower xG per match of 0.91 against Hertha's 1.9.

    A scoreline of 1-1 emerges as the most probable outcome according to the model, carrying an 11% likelihood. The odds favor under 3.5 goals, a market offering a 5% edge with multiple bookmakers at odds of 1.65. Given the expected goals of 1.68 for Hertha and 1.37 for Magdeburg, coupled with the 61% chance of both teams scoring, a tight match with limited scoring opportunities seems plausible.

    While the over 2.5 line suggests a 59% chance, the under 3.5 market presents a sharper angle given the current odds and model's assessment. The defensive vulnerabilities of both sides, Hertha's at 1.3 xGA and Magdeburg's at 1.9, imply some risk of goals, but the bet on under 3.5 aligns with the most likely scorelines presented.

    In betting terms, the real value lies in taking the under 3.5 goals offered by Betsafe, Betsson, and Nordicbet at 1.65. This position balances the expected match dynamic with the available market edge.

    Hertha BerlinHertha Berlin
    Form WLWWW
    League ranking xG #4xGA #5xT #6xP/match #6Points #2
    Key players
    • Sebastian GronningFxG 0.73 · xT -0.03
    • Marten WinklerRWxG 0.21 · xT 0.06
    • Josip BrekaloLWxG 0.32 · xT 0.14
    MagdeburgMagdeburg
    Form WLLWW
    League ranking xG #16xGA #16xT #11xP/match #16Points #5
    Key players
    • Mateusz ZukowskiFxG 0.37 · xT 0.03
    • Barış-Fahri AtikLWxG 0.02 · xT 0.19
    • Falko MichelFxG 0.09 · xT -0.02

    Match prediction: Hertha BerlinMagdeburg

    Predicted score matrix

    Magdeburg
    Hertha Berlin
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–16.2%
    0–24.4%
    0–32.0%
    0–4+0.9%
    1
    1–07.6%
    1–111.2%
    1–27.5%
    1–33.4%
    1–4+1.6%
    2
    2–06.7%
    2–19.2%
    2–26.3%
    2–32.9%
    2–4+1.3%
    3
    3–03.8%
    3–15.1%
    3–23.5%
    3–31.6%
    3–4+0.7%
    4+
    4+–02.3%
    4+–13.2%
    4+–22.2%
    4+–31.0%
    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. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,681,37
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.52EV+4%
    Over 2,559%
    @1.47

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

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

    Combined probability

    56%

    Fair odds

    1.77

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

    02 · 3 legs

    Balanced

    • Double chance Hertha Berlin or draw (1X)69%
    • Over 2.5 goals59%
    • Fabian Reese 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%
    • Fabian Reese to score27%
    • Marcus Klingenberg Mathisen 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

    The model's value spots

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

    • Under 3.564% probability@1.70PinnacleEV+8%reference odds
    • 2 · Magdeburg29% probability@3.64PinnacleEV+6%reference odds
    • Under 3.564% probability@1.65BetsafeEV+5%reference odds
    Bookmaker1 · Hertha BerlinX2 · Magdeburg
    Betsafe1.923.603.35
    Betsson1.923.603.35
    Nordicbet1.923.603.35
    Pinnacle1.92
    EV+ 5%
    3.93
    EV+ 6%
    3.64

    Odds updated 4 Sept, 11:38

    Odds movement

    10 %
    52 %47 %

    1.921.92

    X0 %
    27 %22 %

    3.923.93

    20 %
    29 %24 %

    3.653.64

    Pinnacle · 4 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Hertha Berlin 1Draw 1Magdeburg 2
    Goals: 45 (⌀ 2,2)

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

    Key facts

    • Hertha BSC Berlin come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Hertha Berlin
    Magdeburg
    When goals are scored and conceded 2026
    Hertha Berlin (104)
    Magdeburg (66)
    Pass networks

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

    Hertha Berlin
    Linus Gechter: 156 passningar, xT 0.3GechterPaul Seguin: 122 passningar, xT 0.16SeguinNiklas Kolbe: 113 passningar, xT 0.57KolbeJosip Brekalo: 88 passningar, xT 0.33BrekaloMarius Gersbeck: 80 passningar, xT 0.19GersbeckJulian Eitschberger: 79 passningar, xT 0.38EitschbergerKevin Sessa: 72 passningar, xT 0SessaDeyovaisio Zeefuik: 46 passningar, xT 0.13ZeefuikSoufian Gouram: 41 passningar, xT 0.09GouramMarten Winkler: 32 passningar, xT 0.09WinklerSebastian Gronning: 27 passningar, xT -0.13Gronning
    Magdeburg
    Dominik Reimann: 173 passningar, xT 0.17ReimannAnselmo García MacNulty: 166 passningar, xT 0.27MacNultyTobias Müller: 118 passningar, xT 0.11MüllerLuka Hyrylainen: 107 passningar, xT 0.64HyrylainenAlexander Nollenberger: 92 passningar, xT 0.41NollenbergerFalko Michel: 92 passningar, xT 0MichelBarış-Fahri Atik: 78 passningar, xT 0.56AtikPierre Nadjombe: 66 passningar, xT 0.13NadjombeEmmanuel Edosa Iyoha: 62 passningar, xT -0.09IyohaPaul Jaeckel: 49 passningar, xT 0.01JaeckelMateusz Zukowski: 24 passningar, xT 0.09Zukowski
    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.

    Hertha Berlin
    Linus Gechter: 156 passningar, xT 0.3GechterPaul Seguin: 122 passningar, xT 0.16SeguinNiklas Kolbe: 113 passningar, xT 0.57KolbeJosip Brekalo: 88 passningar, xT 0.33BrekaloMarius Gersbeck: 80 passningar, xT 0.19GersbeckJulian Eitschberger: 79 passningar, xT 0.38EitschbergerKevin Sessa: 72 passningar, xT 0SessaDeyovaisio Zeefuik: 46 passningar, xT 0.13ZeefuikSoufian Gouram: 41 passningar, xT 0.09GouramMarten Winkler: 32 passningar, xT 0.09WinklerSebastian Gronning: 27 passningar, xT -0.13Gronning
    Magdeburg
    Dominik Reimann: 173 passningar, xT 0.17ReimannAnselmo García MacNulty: 166 passningar, xT 0.27MacNultyTobias Müller: 118 passningar, xT 0.11MüllerLuka Hyrylainen: 107 passningar, xT 0.64HyrylainenAlexander Nollenberger: 92 passningar, xT 0.41NollenbergerFalko Michel: 92 passningar, xT 0MichelBarış-Fahri Atik: 78 passningar, xT 0.56AtikPierre Nadjombe: 66 passningar, xT 0.13NadjombeEmmanuel Edosa Iyoha: 62 passningar, xT -0.09IyohaPaul Jaeckel: 49 passningar, xT 0.01JaeckelMateusz Zukowski: 24 passningar, xT 0.09Zukowski

    The teams in numbers

    PerformanceHertha BerlinMagdeburg
    Points96
    xPoints4.83
    xG per match1.90.91
    xGA per match1.31.9
    xG within 8s of winning the ball0.40.16
    xGA within 8s of losing the ball0.180.25
    Playing styleHertha BerlinMagdeburg
    Build-up efficiency0.320.31
    Field tilt0.560.32
    xT per match1.10.97
    xTA per match0.881.3
    Won balls, offensive half2818
    Pressing intensity0.230.24
    Pressing efficiency0.330.27
    Pressing efficiency, offensive half0.270.22
    Entries into the box per match1911
    Entries into the box against1213
    Pass completion %0.750.78
    Pass completion % under pressure0.670.69
    Passes per match307368
    Passes against per match301403
    Switches of play per match21.139.6
    Long balls per match3548
    Set piecesHertha BerlinMagdeburg
    xG from free kicks0.140.03
    Corners per match6.36
    Corners against per match4.33.7
    xG per corner0.010.04
    xGA per corner against0.030.04
    First touch, offensive corners %0.580.67
    First touch, defensive corners %0.850.55
    OtherHertha BerlinMagdeburg
    Throw-in control0.760.8
    The goalkeepersMarius Gersbeck (Hertha Berlin)Dominik Reimann (Magdeburg)
    Saves1013
    Save %71%68%
    xG prevented61%53%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Hertha Berlin vs Magdeburg according to our model?

    The model gives Hertha Berlin a 44% win probability. Full 1X2 picture: Hertha Berlin 44%, draw 27%, Magdeburg 29%.

    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.