3. Liga14°3,3 mm17 km/h

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    Preussen MünsterPreussen MünsterPossession control
    vs
    SaarbrückenSaarbrückenPossession control
    The model's lean: 1 · Preussen Münster (36%)Soft draw

    Preussen MünsterSaarbrücken · 3. Liga

    1 · Preussen Münster 36%X 29%35% Saarbrücken · 2

    Analysis: Preussen MünsterSaarbrücken

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

    With a razor-thin model edge for Preussen Münster at 36% against Saarbrücken's 35%, this matchup is as balanced as they come. The market appears to slightly undervalue Münster despite their inferior xPoints and xG metrics compared to the visitors. Saarbrücken's consistent scoring streak — eight league matches in a row — suggests that the visitors pose a potent offensive threat, reflected in their robust xG of 2.2 per match, a full goal higher than Münster's.

    Saarbrücken's two-point lead in the standings belies a larger gap in expected performance, hinting that their results are more sustainable than those of the hosts. However, the model's lean towards Münster, despite their offensive struggles, suggests that there's potential value in backing them at home. Their possession-based style might just disrupt Saarbrücken's rhythm, complicating the visitors' recent scoring consistency.

    The prospect of both teams finding the net is backed by a 57% likelihood, and with an over/under 2.5 goals chance at 53%, goals seem more likely than not. Yet, with both sides preferring possession play, this could also mean a game where control trumps chaos, potentially dampening the scoring output if either side effectively stifles the other's creativity.

    Given the small sample size of recent head-to-head matchups, these historical results weigh less heavily than the current form and xG dynamics. The expected goals hint at a slight edge for Saarbrücken, suggesting a narrow victory or draw is within their grasp. The most probable scorelines per the model — 1-1, 1-2, 0-1 — underscore this balance.

    For betting angles, consider the value in backing Münster at odds reflecting their slight model edge, particularly if bookmakers are favoring Saarbrücken. A draw or narrow win for the visitors feels plausible, but be wary of tilting too heavily towards any one outcome given the razor-thin margins.

    Preussen MünsterPreussen Münster
    Form WDLW
    League ranking xG #15xGA #15xT #21xP/match #15Points #5
    Key players
    • Felix HiglFxG 0.16 · xT 0.00
    • Leon TasovRBxG 0.00 · xT 0.11
    • Ryan JohanssonFxG 0.11 · xT 0.01
    SaarbrückenSaarbrücken
    Form LWWLW
    League ranking xG #1xGA #11xT #6xP/match #2Points #2
    Key players
    • Florian PickRWxG 0.31 · xT 0.36
    • Kai BrunkerFxG 0.53 · xT 0.16
    • Christian KühlwetterCAMxG 0.57 · xT 0.07

    Match prediction: Preussen MünsterSaarbrücken

    Predicted score matrix

    Saarbrücken
    Preussen Münster
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–18.6%
    0–26.5%
    0–33.2%
    0–4+1.6%
    1
    1–07.8%
    1–112.3%
    1–28.7%
    1–34.2%
    1–4+2.1%
    2
    2–05.4%
    2–17.9%
    2–25.8%
    2–32.8%
    2–4+1.4%
    3
    3–02.4%
    3–13.5%
    3–22.6%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.1%
    4+–11.6%
    4+–21.1%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-08%
    Expected goals
    1,331,46
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    Over 2,553%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Preussen Münster or draw (1X)60%
    • Over 1.5 goals77%

    Combined probability

    46%

    Fair odds

    2.18

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

    02 · 3 legs

    Balanced

    • Double chance Preussen Münster or draw (1X)60%
    • Over 2.5 goals53%
    • Oliver Batista Meier to score20%

    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 score57%
    • Over 2.5 goals53%
    • Florian Pick to score23%
    • Elijah Akwasi Krahn 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

    No odds available yet.

    Statistics

    Key facts

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

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

    Preussen Münster
    Saarbrücken
    When goals are scored and conceded 2026
    Preussen Münster (77)
    Saarbrücken (147)
    Pass networks

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

    Preussen Münster
    Morten Jens Behrens: 176 passningar, xT 0.27BehrensNiko Koulis: 145 passningar, xT 0.14KoulisRico Preißinger: 116 passningar, xT 0.03PreißingerAntonio Tikvić: 113 passningar, xT 0.15TikvićRyan Johansson: 79 passningar, xT 0JohanssonTorge Paetow: 75 passningar, xT 0.05PaetowCharalambos Makridis: 70 passningar, xT 0.16MakridisLucas Christopher Zeller: 66 passningar, xT 0.04ZellerTim-Justin Dietrich: 62 passningar, xT 0.14DietrichWesley Adeh: 49 passningar, xT 0.04AdehLouis Philipp Kolbe: 47 passningar, xT 0.28Kolbe
    Saarbrücken
    Siemen Voet: 198 passningar, xT 0.28VoetMladen Cvjetinovic: 179 passningar, xT 0.27CvjetinovicPatrick Sontheimer: 143 passningar, xT 0.27SontheimerNiko Bretschneider: 140 passningar, xT 0.4BretschneiderDaniel Gleiber: 132 passningar, xT 0.08GleiberPhilip Fahrner: 131 passningar, xT 0.29FahrnerMatteo Bignetti: 128 passningar, xT 0.06BignettiFlorian Pick: 93 passningar, xT 1.41PickChristian Kühlwetter: 45 passningar, xT 0.25KühlwetterAlexander Staff: 42 passningar, xT 0.48StaffKai Brunker: 28 passningar, xT 0.19Brunker
    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
    Morten Jens Behrens: 176 passningar, xT 0.27BehrensNiko Koulis: 145 passningar, xT 0.14KoulisRico Preißinger: 116 passningar, xT 0.03PreißingerAntonio Tikvić: 113 passningar, xT 0.15TikvićRyan Johansson: 79 passningar, xT 0JohanssonTorge Paetow: 75 passningar, xT 0.05PaetowCharalambos Makridis: 70 passningar, xT 0.16MakridisLucas Christopher Zeller: 66 passningar, xT 0.04ZellerTim-Justin Dietrich: 62 passningar, xT 0.14DietrichWesley Adeh: 49 passningar, xT 0.04AdehLouis Philipp Kolbe: 47 passningar, xT 0.28Kolbe
    Saarbrücken
    Siemen Voet: 198 passningar, xT 0.28VoetMladen Cvjetinovic: 179 passningar, xT 0.27CvjetinovicPatrick Sontheimer: 143 passningar, xT 0.27SontheimerNiko Bretschneider: 140 passningar, xT 0.4BretschneiderDaniel Gleiber: 132 passningar, xT 0.08GleiberPhilip Fahrner: 131 passningar, xT 0.29FahrnerMatteo Bignetti: 128 passningar, xT 0.06BignettiFlorian Pick: 93 passningar, xT 1.41PickChristian Kühlwetter: 45 passningar, xT 0.25KühlwetterAlexander Staff: 42 passningar, xT 0.48StaffKai Brunker: 28 passningar, xT 0.19Brunker

    The teams in numbers

    PerformancePreussen MünsterSaarbrücken
    Points79
    xPoints4.97.1
    xG per match1.22.2
    xGA per match1.61.6
    xG within 8s of winning the ball0.120.29
    xGA within 8s of losing the ball0.290.11
    Playing stylePreussen MünsterSaarbrücken
    Build-up efficiency0.260.32
    Field tilt0.410.59
    xT per match0.451.2
    xTA per match0.911.1
    Won balls, offensive half2716
    Pressing intensity0.220.21
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.20.21
    Entries into the box per match814
    Entries into the box against1114
    Pass completion %0.720.77
    Pass completion % under pressure0.70.72
    Passes per match296338
    Passes against per match391325
    Switches of play per match13.533
    Long balls per match2840
    Set piecesPreussen MünsterSaarbrücken
    xG from free kicks0.060.15
    Corners per match3.56.2
    Corners against per match4.35
    xG per corner0.040.05
    xGA per corner against0.040.04
    First touch, offensive corners %0.640.42
    First touch, defensive corners %0.650.55
    OtherPreussen MünsterSaarbrücken
    Throw-in control0.710.75
    The goalkeepersMorten Jens Behrens (Preussen Münster)Matteo Bignetti (Saarbrücken)
    Saves715
    Save %50%68%
    xG prevented28%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Preussen Münster vs Saarbrücken according to our model?

    The model gives Preussen Münster a 36% win probability. Full 1X2 picture: Preussen Münster 36%, draw 29%, Saarbrücken 35%.

    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 57% 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.