3. Liga21°8 km/hUpdated

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    Waldhof MannheimWaldhof MannheimPossession control
    vs
    The model's lean: 2 · Fortuna Düsseldorf (38%)
    Fortuna DüsseldorfFortuna DüsseldorfPossession control

    Waldhof MannheimFortuna Düsseldorf · 3. Liga

    1 · Waldhof Mannheim 36%X 26%38% Fortuna Düsseldorf · 2
    Waldhof MannheimWaldhof Mannheim
    Form DDLWL
    League ranking xG #10xGA #11xT #18xP/match #8Points #10
    Key players
    • Terrence BoydFxG 0.57 · xT 0.02
    • Kennedy OkpalaFxG 0.36 · xT 0.15
    • Felix LohkemperFxG 0.39 · xT 0.02
    Fortuna DüsseldorfFortuna Düsseldorf
    League ranking xG #1xGA #15xT #10xP/match #10Points #3
    Key players
    • Kaito MizutaLWxG 0.21 · xT 0.18
    • Marek JanssenFxG 0.53 · xT 0.05
    • Dickson AbiamaLWxG 0.39 · xT 0.18

    Match prediction: Waldhof MannheimFortuna Düsseldorf

    Predicted score matrix

    Fortuna Düsseldorf
    Waldhof Mannheim
    0
    1
    2
    3
    4+
    0
    0–07.1%
    0–18.6%
    0–25.8%
    0–32.6%
    0–4+1.1%
    1
    1–09.0%
    1–112.6%
    1–28.1%
    1–33.5%
    1–4+1.5%
    2
    2–06.4%
    2–18.5%
    2–25.6%
    2–32.4%
    2–4+1.1%
    3
    3–03.0%
    3–13.9%
    3–22.6%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.4%
    4+–11.8%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-28%
    Expected goals
    1,381,31
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.25
    Over 2,550%
    @1.02

    Odds & value

    Bookmaker1 · Waldhof MannheimX2 · Fortuna Düsseldorf
    Betfair Exchange1.351.971.38

    Odds updated 4 Aug, 09:04

    Analysis: Waldhof MannheimFortuna Düsseldorf

    Marcus Johansson · · How the predictions work

    Fortuna Dusseldorf's edge in points — 70 to Waldhof Mannheim's 52 — tells a story of recent dominance, yet the expected goals (xG) and expected points (xPoints) metrics weave a more intricate narrative. While the model leans slightly towards Fortuna at 38% to Waldhof's 36%, these teams are neck-and-neck in terms of underlying stats. Waldhof boasts a slim xPoints lead at 55.0 to Dusseldorf's 54.5, suggesting they might have been shortchanged in some respects.

    Waldhof Mannheim, with its possession-oriented style, will not bow easily. Their xGA of 1.6 per match edges out Dusseldorf’s 1.8, hinting at a more resilient defence. However, when you consider Fortuna's slightly superior xG at 1.8 compared to Waldhof's 1.6, the character of this match begins to reveal itself: two teams equally adept at controlling the ball, yet Fortuna carries a marginally sharper attack.

    Fortuna Dusseldorf can assert an advantage through their superior points tally, but those who've watched Waldhof know that they can manipulate possession expertly to their favour. A draw seems a plausible outcome, supported by the model’s most likely prediction of a 1-1 scoreline at 13%. Both teams to score stands at 55%, making it a compelling angle for punters.

    The betting landscape offers an intriguing opportunity with Fortuna's model-backed lean, matched by bookmaker odds. At an unlikely 0-1 victory for Dusseldorf, offered at 9% likelihood, one might find value, particularly if bookmakers like Bet365 price this generously. The odds on a draw might also offer value, given both squads' near-identical capabilities and the model's slim preference for Fortuna.

    In a clash where both teams possess the ball and the ambition to maintain it, the over/under 2.5 goal line feels finely poised at 50%. The prudent play might be to hedge towards under, expecting a tactical battle rather than a goalfest, and banking on a narrow Dusseldorf win or a score draw as the final twist in this closely matched tale.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Waldhof Mannheim
    When goals are scored and conceded 2025
    Waldhof Mannheim (5972)
    Pass networks

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

    Waldhof Mannheim
    Niklas Hoffmann: 204 passningar, xT 0.85HoffmannSamuel Abifade: 193 passningar, xT 0.33AbifadeJanne Sietan: 190 passningar, xT 0.33SietanTim Sechelmann: 166 passningar, xT 0.42SechelmannMaximilian Thalhammer: 150 passningar, xT 0.57ThalhammerThijmen Joel Sander Nijhuis: 147 passningar, xT -1.52NijhuisOluwaseun God Power Osaro Ogbemudia: 144 passningar, xT 0.06OgbemudiaLukas Klunter: 143 passningar, xT 0.74KlunterSanoussy Ba: 124 passningar, xT 0.36BaDiego Michel: 108 passningar, xT 0.46MichelVincent Thill: 104 passningar, xT 0.45Thill
    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.

    Waldhof Mannheim
    Niklas Hoffmann: 204 passningar, xT 0.85HoffmannSamuel Abifade: 193 passningar, xT 0.33AbifadeJanne Sietan: 190 passningar, xT 0.33SietanTim Sechelmann: 166 passningar, xT 0.42SechelmannMaximilian Thalhammer: 150 passningar, xT 0.57ThalhammerThijmen Joel Sander Nijhuis: 147 passningar, xT -1.52NijhuisOluwaseun God Power Osaro Ogbemudia: 144 passningar, xT 0.06OgbemudiaLukas Klunter: 143 passningar, xT 0.74KlunterSanoussy Ba: 124 passningar, xT 0.36BaDiego Michel: 108 passningar, xT 0.46MichelVincent Thill: 104 passningar, xT 0.45Thill

    The teams in numbers

    PerformanceWaldhof MannheimFortuna Düsseldorf
    Points5270
    xPoints5554.5
    xG per match1.61.8
    xGA per match1.61.8
    xG within 8s of winning the ball0.30.2
    xGA within 8s of losing the ball0.230.23
    Playing styleWaldhof MannheimFortuna Düsseldorf
    Build-up efficiency0.320.32
    Field tilt0.530.5
    xT per match0.891.1
    xTA per match1.11.1
    Won balls, offensive half2526
    Pressing intensity0.220.22
    Pressing efficiency0.30.31
    Pressing efficiency, offensive half0.360.36
    Entries into the box per match1314
    Entries into the box against1412
    Pass completion %0.750.73
    Pass completion % under pressure0.70.7
    Passes per match336320
    Passes against per match340327
    Switches of play per match23.218.5
    Long balls per match3329
    Set piecesWaldhof MannheimFortuna Düsseldorf
    xG from free kicks0.220.08
    Corners per match5.56
    Corners against per match5.45.7
    xG per corner0.040.08
    xGA per corner against0.060.05
    First touch, offensive corners %0.460.34
    First touch, defensive corners %0.530.6
    OtherWaldhof MannheimFortuna Düsseldorf
    Throw-in control0.740.76
    The goalkeepersThijmen Joel Sander Nijhuis (Waldhof Mannheim)Fortuna Düsseldorf
    Saves121
    Save %65%
    xG prevented46%
    Claims0 (0%)

    Frequently asked questions

    Who wins Waldhof Mannheim vs Fortuna Düsseldorf according to our model?

    The model gives Fortuna Düsseldorf a 38% win probability. Full 1X2 picture: Waldhof Mannheim 36%, draw 26%, Fortuna Düsseldorf 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.