3. Liga14°16 km/h

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    Preussen MünsterPreussen MünsterCounter-attacks & crosses
    1–2
    Fortuna DüsseldorfFortuna DüsseldorfPossession control
    The model's lean: 2 · Fortuna Düsseldorf (41%)Best value by the model: Under 2,5 @ 2.18 (+23 %)

    Preussen Münster vs Fortuna Düsseldorf · 3. Liga

    1 · Preussen Münster 30%X 29%41% Fortuna Düsseldorf · 2

    Prediction summary

    Final score 1–2. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Preussen Münster vs Fortuna Düsseldorf (3. Liga, Wednesday, 14 October 2026): Preussen Münster win 30%, draw 29%, Fortuna Düsseldorf win 41%. Expected goals (xG): Preussen Münster 1.15, Fortuna Düsseldorf 1.28. Most likely score: 1-1 (13%). Over 2.5 goals 44%, both teams to score 50%. Double chance: Preussen Münster or draw 59%, Fortuna Düsseldorf or draw 70%. Prediction updated Monday, 5 October 2026.

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    Analysis: Preussen Münster – Fortuna Düsseldorf

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

    The text contains a factual error regarding xPoints: it states Münster's xPoints (8.1) are "poorer" compared to Düsseldorf's (6.9), but 8.1 is actually higher than 6.9, meaning Münster leads in both points and xPoints, not just points.

    Corrected text:

    Fortuna Düsseldorf enter as slight favorites against Preussen Münster, but the margins are razor-thin. The model leans towards Düsseldorf with a 41% probability of victory, while Münster sits close behind at 30%. This delicate balance reflects a broader pattern: Münster leads both in points (11 vs. 10) and xPoints (8.1 vs. 6.9), suggesting their underlying numbers actually support their current standing.

    A 1-1 draw leads the scoreline probabilities at 13%, underscoring the likelihood of a tightly contested affair. Münster's preference for counter-attacks and crosses faces off against Düsseldorf’s possession-based approach. The hosts tend to ship more goals, with an xGA of 1.6 per match compared to the visitors' 1.4, suggesting potential vulnerability against any sustained pressure from Düsseldorf.

    Yet, Düsseldorf’s superior xG within 8 seconds of winning the ball (0.31 vs. 0.13) indicates their knack for capitalizing on turnovers. This could be crucial if they can disrupt Münster’s play and transition quickly into attack. Still, the expected goals are relatively close: Münster 1.15 to Düsseldorf's 1.28, suggesting neither side will dominate offensively. The over 2.5 goals probability sits at 44%, tipping this encounter towards a lower-scoring affair, while both teams to score is evenly pegged at 50%.

    For punters seeking an edge, Fortuna Düsseldorf to win at odds of 2.40 with Bet365 offers potential value, aligning with the model’s lean. However, given the statistical tightrope this match walks, a 1-1 draw at 13% is the most probable outcome. The betting angle hinges on Düsseldorf’s ability to convert their possession into concrete chances, but an upset or a stalemate remains well within the realm of possibility.

    Preussen MünsterPreussen Münster
    Form LWWDL
    League ranking xG #18xGA #11xT #22xP/match #16Points #7
    Key players
    • Marvin SchulzFxG 0.36 · xT 0.02
    • Leon TasovRBxG 0.00 · xT 0.08
    • Felix HiglFxG 0.15 · xT 0.06
    Fortuna DüsseldorfFortuna Düsseldorf
    Form WDWWL
    League ranking xG #17xGA #10xT #7xP/match #21Points #9
    Key players
    • Tim OberdorfCBxG 0.02 · xT 0.09
    • Fabian SchleusenerFxG 0.25 · xT 0.06
    • Elias EgouliCBxG 0.03 · xT 0.03
    Final score
    1 – 2
    The model called the outcome
    Predicted probabilities: Preussen Münster 30% · Draw 29% · Fortuna Düsseldorf 41%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Fortuna DüsseldorfBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,48fair 12,14-47 %
    Miss
    Matchresultat - Preussen MunsterBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,80fair 14,94-48 %
    Miss

    Match prediction: Preussen Münster – Fortuna Düsseldorf

    Predicted score matrix

    Fortuna Düsseldorf →
    Preussen Münster →
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–110.9%
    0–27.2%
    0–33.1%
    0–4+1.3%
    1
    1–09.8%
    1–113.3%
    1–28.3%
    1–33.5%
    1–4+1.5%
    2
    2–05.8%
    2–17.5%
    2–24.8%
    2–32.0%
    2–4+0.9%
    3
    3–02.2%
    3–12.9%
    3–21.8%
    3–30.8%
    3–4+0.3%
    4+
    4+–00.8%
    4+–11.1%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-010%
    4. 4.0-09%
    5. 5.1-28%
    Expected goals
    1,15–1,28
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @2.18EV+17%
    Over 2,544%
    @1.69

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Fortuna Düsseldorf or draw (X2)67%
    • Under 3.5 goals77%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Double chance Fortuna Düsseldorf or draw (X2)67%
    • Under 2.5 goals56%
    • Anas Slimani to score19%

    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 score50%
    • Over 2.5 goals44%
    • Philipp Maier to score21%
    • Yassine Bouchama to be booked24%

    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 2.556% probability@2.18PinnacleEV+23%reference odds
    • Under 1.530% probability@4.05BetsafeEV+21%reference odds
    • Under 1.530% probability@4.05NordicbetEV+21%reference odds
    Bookmaker1 · Preussen MünsterX2 · Fortuna Düsseldorf
    Betsafe2.753.402.30
    LeoVegas2.753.402.25
    Nordicbet2.753.402.30
    Pinnacle2.84
    EV+ 6%
    3.61
    2.35

    Odds updated 14 Oct, 12:15

    Odds movement

    1+2 %
    36 %31 %

    2.79 → 2.84

    X0 %
    29 %24 %

    3.61 → 3.61

    2+2 %
    43 %38 %

    2.30 → 2.35

    Over 2,5+1 %
    59 %54 %

    1.67 → 1.69

    Pinnacle · 8 recorded price levels · 12/10/2026 → 14/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Preussen Münster
    Fortuna Düsseldorf
    When goals are scored and conceded — 2026
    Preussen Münster (12–13)
    Fortuna Düsseldorf (6–7)
    Pass networks

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

    Preussen Münster
    Antonio Tikvić: 220 passningar, xT 0.32TikvićMorten Jens Behrens: 213 passningar, xT 0.26BehrensTorge Paetow: 178 passningar, xT 0.37PaetowLucas Christopher Zeller: 154 passningar, xT 0.06ZellerNiklas Varelmann: 122 passningar, xT 0.14VarelmannRyan Johansson: 84 passningar, xT 0.14JohanssonNiko Koulis: 79 passningar, xT 0.08KoulisPhilipp Maier: 78 passningar, xT 0.04MaierCharalambos Makridis: 70 passningar, xT 0.58MakridisRico Preißinger: 68 passningar, xT -0.01PreißingerLouis Philipp Kolbe: 65 passningar, xT 0.55Kolbe
    Fortuna Düsseldorf
    Tim Oberdorf: 311 passningar, xT 0.51OberdorfElias Egouli: 297 passningar, xT 0.18EgouliAndreas Müller: 219 passningar, xT 0.21MüllerLouis Sascha Lord: 189 passningar, xT 0.24LordYassine Bouchama: 186 passningar, xT 0.37BouchamaMatthias Zimmermann: 144 passningar, xT 0.29ZimmermannErik Wekesser: 136 passningar, xT 0.42WekesserAnas Slimani: 101 passningar, xT 0.15SlimaniJorrit Petrus Carolina Hendrix: 96 passningar, xT 0.21HendrixPhilipp Förster: 91 passningar, xT 0.34FörsterSteven Ako van der Sloot: 82 passningar, xT 1.07Sloot
    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.

    Preussen Münster
    Antonio Tikvić: 220 passningar, xT 0.32TikvićMorten Jens Behrens: 213 passningar, xT 0.26BehrensTorge Paetow: 178 passningar, xT 0.37PaetowLucas Christopher Zeller: 154 passningar, xT 0.06ZellerNiklas Varelmann: 122 passningar, xT 0.14VarelmannRyan Johansson: 84 passningar, xT 0.14JohanssonNiko Koulis: 79 passningar, xT 0.08KoulisPhilipp Maier: 78 passningar, xT 0.04MaierCharalambos Makridis: 70 passningar, xT 0.58MakridisRico Preißinger: 68 passningar, xT -0.01PreißingerLouis Philipp Kolbe: 65 passningar, xT 0.55Kolbe
    Fortuna Düsseldorf
    Tim Oberdorf: 311 passningar, xT 0.51OberdorfElias Egouli: 297 passningar, xT 0.18EgouliAndreas Müller: 219 passningar, xT 0.21MüllerLouis Sascha Lord: 189 passningar, xT 0.24LordYassine Bouchama: 186 passningar, xT 0.37BouchamaMatthias Zimmermann: 144 passningar, xT 0.29ZimmermannErik Wekesser: 136 passningar, xT 0.42WekesserAnas Slimani: 101 passningar, xT 0.15SlimaniJorrit Petrus Carolina Hendrix: 96 passningar, xT 0.21HendrixPhilipp Förster: 91 passningar, xT 0.34FörsterSteven Ako van der Sloot: 82 passningar, xT 1.07Sloot

    The teams in numbers

    PerformancePreussen MünsterFortuna Düsseldorf
    Points1110
    xPoints8.16.9
    xG per match1.11.1
    xGA per match1.61.4
    xG within 8s of winning the ball0.130.31
    xGA within 8s of losing the ball0.240.32
    Playing stylePreussen MünsterFortuna Düsseldorf
    Build-up efficiency0.260.33
    Field tilt0.390.54
    xT per match0.61.1
    xTA per match0.950.82
    Won balls, offensive half2626
    Pressing intensity0.220.21
    Pressing efficiency0.260.36
    Pressing efficiency, offensive half0.210.3
    Entries into the box per match913
    Entries into the box against1211
    Pass completion %0.70.77
    Pass completion % under pressure0.670.73
    Passes per match288401
    Passes against per match380278
    Switches of play per match15.823.4
    Long balls per match3033
    Set piecesPreussen MünsterFortuna Düsseldorf
    xG from free kicks0.060.02
    Corners per match3.45
    Corners against per match4.64.8
    xG per corner0.020.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.420.54
    First touch, defensive corners %0.690.56
    OtherPreussen MünsterFortuna Düsseldorf
    Throw-in control0.720.75
    The goalkeepersMorten Jens Behrens (Preussen Münster)Louis Sascha Lord (Fortuna Düsseldorf)
    Saves1511
    Save %54%79%
    xG prevented32%56%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Preussen Münster vs Fortuna Düsseldorf according to our model?

    The model gives Fortuna Düsseldorf a 41% win probability. Full 1X2 picture: Preussen Münster 30%, draw 29%, Fortuna Düsseldorf 41%.

    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 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 50% according to the model.

    How many goals are expected in Preussen Münster vs Fortuna Düsseldorf?

    The model expects 1.15 goals (xG) for Preussen Münster and 1.28 for Fortuna Düsseldorf, 2.43 in total.

    What does the model say about double chance?

    Preussen Münster or draw (1X) 59%, Fortuna Düsseldorf or draw (X2) 70% and no draw (12) 71%.

    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.