2. BundesligaBremer Brücke, Osnabrück22°11 km/h

    Läs på svenska
    OsnabrückOsnabrückPossession control
    vs
    MagdeburgMagdeburgCounter-attacks & crosses
    The model's lean: 1 · Osnabrück (48%)

    OsnabrückMagdeburg · 2. Bundesliga

    1 · Osnabrück 48%X 28%25% Magdeburg · 2

    Analysis: OsnabrückMagdeburg

    Oscar Nilsson · · How the predictions work

    Numbers speak louder than words in the world of football, and the numbers here paint a vivid picture: VfL Osnabruck holds the upper hand against 1. FC Magdeburg. A 48% model-backed win probability and a favorable xPoints comparison (1.2 to 0.2) suggest the hosts will be looking to assert their dominance. With the possession-based approach of Osnabruck clashing against the counter-attacking style of Magdeburg, an intriguing tactical battle is on the cards, but it seems the home side has more tools in their kit.

    VfL Osnabruck has a clear advantage in expected goals metrics, boasting 2.0 xG per match compared to Magdeburg’s 0.71. This gap in offensive firepower suggests Osnabruck is better equipped to make the most of their chances. The model hints at a 1-0 or 2-1 scoreline with a 10% and 9% probability, respectively, reinforcing the expectation of a narrow win for Osnabruck. Despite the defensive vulnerabilities seen in Osnabruck’s xGA of 2.6, Magdeburg’s own defensive frailties (xGA of 3.2) could prove even more costly.

    1. FC Magdeburg’s slight edge in xG within eight seconds of winning the ball highlights their potency on the counter. Yet, with Osnabruck’s ability to control possession, the visitors' opportunities may be limited. The chance of both teams finding the back of the net sits at 56%, hinting at an end-to-end affair, albeit one likely tilted in favor of the hosts.

    The over/under 2.5 goals metric leans slightly towards over at 53%, suggesting a modest scoring affair. However, the expected tightness of the contest and Osnabruck’s controlled style might see the under 2.5 goals offering a touch more value for punters.

    Now, for those with an eye on the odds, Bet365 lists Osnabruck at 1.90 to win, which could be seen as a value bet given the model's lean. While no result is ever guaranteed, data-driven bettors could be tempted by the edge Osnabruck seems set to hold.

    OsnabrückOsnabrück
    Form L
    League ranking xG #6xGA #16xT #11xP/match #13Points #13
    Key players
    • Jannik MullerCBxG 0.08 · xT 0.12
    • Robin MeissnerCAMxG 1.15 · xT 0.04
    • Niklas WiemannCBxG 0.03 · xT 0.05
    MagdeburgMagdeburg
    Form LWWLL
    League ranking xG #16xGA #18xT #9xP/match #18Points #18
    Key players
    • Barış-Fahri AtikLWxG 0.01 · xT 0.29
    • Alexander NollenbergerLWBxG 0.04 · xT -0.02
    • Luka HyrylainenCDMxG 0.00 · xT 0.13

    Match prediction: OsnabrückMagdeburg

    Predicted score matrix

    Magdeburg
    Osnabrück
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–16.8%
    0–24.2%
    0–31.6%
    0–4+0.6%
    1
    1–09.6%
    1–111.9%
    1–26.8%
    1–32.6%
    1–4+1.0%
    2
    2–08.1%
    2–19.4%
    2–25.5%
    2–32.1%
    2–4+0.8%
    3
    3–04.4%
    3–15.1%
    3–23.0%
    3–31.2%
    3–4+0.4%
    4+
    4+–02.6%
    4+–13.0%
    4+–21.7%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,621,17
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.32EV+9%
    Over 2,553%
    @1.52

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Osnabrück to win48%
    • Over 1.5 goals77%

    Combined probability

    38%

    Fair odds

    2.63

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

    02 · 3 legs

    Balanced

    • Osnabrück to win48%
    • Over 2.5 goals53%
    • Bjarke Halfdan Jacobsen to score25%

    Combined probability

    8%

    Fair odds

    13.29

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score56%
    • Over 2.5 goals53%
    • Bjarke Halfdan Jacobsen to score25%
    • Luka-Mikael Hyryläinen to be booked20%

    Combined probability

    2%

    Fair odds

    45.41

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 1 · Osnabrück48% probability@2.57PinnacleEV+23%
    • 1 · Osnabrück48% probability@2.52BetsafeEV+20%
    • 1 · Osnabrück48% probability@2.52BetssonEV+20%
    Bookmaker1 · OsnabrückX2 · Magdeburg
    Betfair Exchange
    EV+ 16%
    2.44
    EV+ 5%
    3.80
    2.72
    Betsafe
    EV+ 20%
    2.52
    3.452.52
    Betsson
    EV+ 20%
    2.52
    3.452.52
    Nordicbet
    EV+ 20%
    2.52
    3.452.52
    Pinnacle
    EV+ 23%
    2.57
    EV+ 4%
    3.78
    2.53

    Odds updated 13 Aug, 14:23

    Odds movement

    1+6 %
    41 %36 %

    2.422.57

    X-1 %
    28 %23 %

    3.813.78

    2-6 %
    39 %34 %

    2.682.53

    Pinnacle · 5 recorded price levels · 11/08/2026 → 13/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Osnabrück
    Magdeburg
    When goals are scored and conceded 2026
    Osnabrück (34)
    Magdeburg (16)
    Pass networks

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

    Osnabrück
    Jannik Muller: 48 passningar, xT 0.12MullerRobin Fabinski: 39 passningar, xT 0.11FabinskiFridolin Wagner: 28 passningar, xT 0.01WagnerKonrad Johannes Karl Faber: 27 passningar, xT 0.11FaberBjarke Jacobsen: 27 passningar, xT 0.04JacobsenPatrick Kammerbauer: 26 passningar, xT 0.15KammerbauerNiklas Wiemann: 23 passningar, xT 0.06WiemannJonas Krumrey: 21 passningar, xT 0.05KrumreyDavid Kopacz: 19 passningar, xT 0KopaczIsmail Badjie: 12 passningar, xT 0.06BadjieRobin Meissner: 12 passningar, xT 0.02Meissner
    Magdeburg
    Dominik Reimann: 74 passningar, xT 0.05ReimannAnselmo García MacNulty: 65 passningar, xT 0.07MacNultyPaul Jaeckel: 47 passningar, xT 0.01JaeckelLuka Hyrylainen: 44 passningar, xT 0.12HyrylainenAlexander Nollenberger: 25 passningar, xT -0.02NollenbergerEmmanuel Edosa Iyoha: 21 passningar, xT 0IyohaHerbert Bockhorn: 19 passningar, xT 0.02BockhornBarış-Fahri Atik: 19 passningar, xT 0.3AtikFalko Michel: 14 passningar, xT 0MichelTobias Müller: 14 passningar, xT 0.02MüllerMateusz Zukowski: 12 passningar, xT 0Zukowski
    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.

    Osnabrück
    Jannik Muller: 48 passningar, xT 0.12MullerRobin Fabinski: 39 passningar, xT 0.11FabinskiFridolin Wagner: 28 passningar, xT 0.01WagnerKonrad Johannes Karl Faber: 27 passningar, xT 0.11FaberBjarke Jacobsen: 27 passningar, xT 0.04JacobsenPatrick Kammerbauer: 26 passningar, xT 0.15KammerbauerNiklas Wiemann: 23 passningar, xT 0.06WiemannJonas Krumrey: 21 passningar, xT 0.05KrumreyDavid Kopacz: 19 passningar, xT 0KopaczIsmail Badjie: 12 passningar, xT 0.06BadjieRobin Meissner: 12 passningar, xT 0.02Meissner
    Magdeburg
    Dominik Reimann: 74 passningar, xT 0.05ReimannAnselmo García MacNulty: 65 passningar, xT 0.07MacNultyPaul Jaeckel: 47 passningar, xT 0.01JaeckelLuka Hyrylainen: 44 passningar, xT 0.12HyrylainenAlexander Nollenberger: 25 passningar, xT -0.02NollenbergerEmmanuel Edosa Iyoha: 21 passningar, xT 0IyohaHerbert Bockhorn: 19 passningar, xT 0.02BockhornBarış-Fahri Atik: 19 passningar, xT 0.3AtikFalko Michel: 14 passningar, xT 0MichelTobias Müller: 14 passningar, xT 0.02MüllerMateusz Zukowski: 12 passningar, xT 0Zukowski

    The teams in numbers

    PerformanceOsnabrückMagdeburg
    Points00
    xPoints1.20.2
    xG per match20.71
    xGA per match2.63.2
    xG within 8s of winning the ball0.110.26
    xGA within 8s of losing the ball0.640.66
    Playing styleOsnabrückMagdeburg
    Build-up efficiency0.320.31
    Field tilt0.480.23
    xT per match0.940.97
    xTA per match1.21.1
    Won balls, offensive half2315
    Pressing intensity0.230.24
    Pressing efficiency0.290.28
    Pressing efficiency, offensive half0.230.2
    Entries into the box per match156
    Entries into the box against1513
    Pass completion %0.670.79
    Pass completion % under pressure0.60.73
    Passes per match299368
    Passes against per match379432
    Switches of play per match14.834.2
    Long balls per match3641
    Set piecesOsnabrückMagdeburg
    xG from free kicks00
    Corners per match5.94.9
    Corners against per match44.9
    xG per corner0.030.01
    xGA per corner against0.010.03
    First touch, offensive corners %0.50.6
    First touch, defensive corners %0.50.8
    OtherOsnabrückMagdeburg
    Throw-in control0.820.85
    The goalkeepersJannik Muller (Osnabrück)Dominik Reimann (Magdeburg)
    Saves27
    Save %100%54%
    xG prevented100%41%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Osnabrück vs Magdeburg according to our model?

    The model gives Osnabrück a 48% win probability. Full 1X2 picture: Osnabrück 48%, draw 28%, Magdeburg 25%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.