3. Liga20°1,2 mm11 km/h

    Läs på svenska
    VfB Stuttgart IIVfB Stuttgart IIPossession & high press
    vs
    Preussen MünsterPreussen MünsterPossession control
    The model's lean: 1 · VfB Stuttgart II (51%)

    VfB Stuttgart IIPreussen Münster · 3. Liga

    1 · VfB Stuttgart II 51%X 24%25% Preussen Münster · 2

    Analysis: VfB Stuttgart IIPreussen Münster

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    VfB Stuttgart II's high pressing style will be pivotal against Preussen Münster, who prefer to control possession. The hosts, however, have struggled to convert this aggressiveness into points, sitting on just three compared to Münster's seven. Despite their forward-leaning approach, Stuttgart's expected goals against (xGA) sits at a concerning 1.8 per match, suggesting defensive vulnerabilities that a possession-savvy opponent like Münster can exploit.

    Yet, it's the attacking transition where Stuttgart hold an edge. With an xG of 0.17 within 8 seconds of regaining possession, they’re primed to capitalize on quick turnovers. This slight tactical advantage is reflected in the expected goals for the match, favoring them with 1.86 compared to Münster’s 1.19. This gives the hosts a slight edge, with the model assigning them a 51% win probability.

    Intriguingly, the most likely scorelines hover around narrow margins: 1-1 at 11%, 2-1 at 10%, and 1-0 at 8%. These figures hint at a contest where every chance counts, potentially tilting in Stuttgart's favor if they can harness their pressing effectively. The over 2.5 goal line sits at 59%, indicating a reasonable expectation for goals, but the tight scorelines suggest caution.

    From a betting perspective, the real value shines on Stuttgart's win at odds of 2.18 with bookmakers like Betsafe, Betsson, and Nordicbet. This offers an 11% edge according to the model's probability, presenting a solid opportunity for those looking to back the home side in what could be a tightly contested match. The emphasis here remains on a well-calculated risk — favoring the disciplined over the daring.

    VfB Stuttgart IIVfB Stuttgart II
    Form LLWLL
    League ranking xG #15xGA #17xT #8xP/match #21Points #16
    Key players
    • Nicolas SessaRWxG 0.09 · xT 0.27
    • Alexander GroissCBxG 0.05 · xT 0.19
    • Jordan Aleksander MajchrzakRWxG 0.16 · xT 0.27
    Preussen MünsterPreussen Münster
    Form WDLW
    League ranking xG #16xGA #16xT #21xP/match #15Points #3
    Key players
    • Felix HiglFxG 0.16 · xT 0.00
    • Leon TasovRBxG 0.00 · xT 0.11
    • Ryan JohanssonFxG 0.11 · xT 0.01

    Match prediction: VfB Stuttgart IIPreussen Münster

    Predicted score matrix

    Preussen Münster
    VfB Stuttgart II
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–15.3%
    0–23.4%
    0–31.3%
    0–4+0.5%
    1
    1–08.5%
    1–110.8%
    1–26.2%
    1–32.5%
    1–4+1.0%
    2
    2–08.2%
    2–19.7%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.1%
    3–16.0%
    3–23.6%
    3–31.4%
    3–4+0.6%
    4+
    4+–03.6%
    4+–14.3%
    4+–22.6%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,861,19
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.50EV+3%
    Over 2,559%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • VfB Stuttgart II to win51%
    • Over 1.5 goals81%

    Combined probability

    44%

    Fair odds

    2.27

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

    02 · 3 legs

    Balanced

    • VfB Stuttgart II to win51%
    • Over 2.5 goals59%
    • Mansour Ouro-Tagba 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 score59%
    • Over 2.5 goals59%
    • Mansour Ouro-Tagba to score19%
    • Jorrit Petrus Carolina Hendrix 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+).

    • 1 · VfB Stuttgart II51% probability@2.32PinnacleEV+19%reference odds
    • 1 · VfB Stuttgart II51% probability@2.28BetsafeEV+17%reference odds
    • 1 · VfB Stuttgart II51% probability@2.28BetssonEV+17%reference odds
    Bookmaker1 · VfB Stuttgart IIX2 · Preussen Münster
    Betsafe
    EV+ 17%
    2.28
    3.402.75
    Betsson
    EV+ 17%
    2.28
    3.402.75
    Nordicbet
    EV+ 17%
    2.28
    3.402.75
    Paddy Power
    EV+ 5%
    2.05
    3.752.80
    Pinnacle
    EV+ 19%
    2.32
    3.612.79

    Odds updated 11 Sept, 16:13

    Odds movement

    1+4 %
    43 %38 %

    2.242.32

    X0 %
    28 %23 %

    3.613.61

    2-3 %
    36 %31 %

    2.882.79

    Pinnacle · 6 recorded price levels · 09/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    VfB Stuttgart II
    Preussen Münster
    When goals are scored and conceded 2026
    VfB Stuttgart II (46)
    Preussen Münster (77)
    Pass networks

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

    VfB Stuttgart II
    Alexander Groiss: 174 passningar, xT 0.53GroissMaximilian Herwerth: 160 passningar, xT 0.19HerwerthNicolas Sessa: 111 passningar, xT 0.68SessaDavid Preu: 96 passningar, xT 0.26PreuJerik von der Felsen: 85 passningar, xT 0.09FelsenJarzinho Malanga: 84 passningar, xT 0.21MalangaYanik Noah Spalt: 70 passningar, xT 0.07SpaltDominik Nothnagel: 66 passningar, xT 0.39NothnagelAntonijo Janjić: 51 passningar, xT 0.13JanjićMirza Ćatović: 48 passningar, xT 0.05ĆatovićErtugrul Yigit: 47 passningar, xT 0.07Yigit
    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
    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.

    VfB Stuttgart II
    Alexander Groiss: 174 passningar, xT 0.53GroissMaximilian Herwerth: 160 passningar, xT 0.19HerwerthNicolas Sessa: 111 passningar, xT 0.68SessaDavid Preu: 96 passningar, xT 0.26PreuJerik von der Felsen: 85 passningar, xT 0.09FelsenJarzinho Malanga: 84 passningar, xT 0.21MalangaYanik Noah Spalt: 70 passningar, xT 0.07SpaltDominik Nothnagel: 66 passningar, xT 0.39NothnagelAntonijo Janjić: 51 passningar, xT 0.13JanjićMirza Ćatović: 48 passningar, xT 0.05ĆatovićErtugrul Yigit: 47 passningar, xT 0.07Yigit
    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

    The teams in numbers

    PerformanceVfB Stuttgart IIPreussen Münster
    Points37
    xPoints2.14.9
    xG per match1.21.2
    xGA per match1.81.6
    xG within 8s of winning the ball0.170.12
    xGA within 8s of losing the ball0.110.29
    Playing styleVfB Stuttgart IIPreussen Münster
    Build-up efficiency0.320.26
    Field tilt0.640.41
    xT per match1.10.45
    xTA per match0.580.91
    Won balls, offensive half2527
    Pressing intensity0.210.22
    Pressing efficiency0.330.27
    Pressing efficiency, offensive half0.220.2
    Entries into the box per match148
    Entries into the box against1111
    Pass completion %0.780.72
    Pass completion % under pressure0.70.7
    Passes per match393297
    Passes against per match276392
    Switches of play per match2413.6
    Long balls per match3128
    Set piecesVfB Stuttgart IIPreussen Münster
    xG from free kicks0.070.06
    Corners per match5.83.5
    Corners against per match6.14.3
    xG per corner0.020.04
    xGA per corner against0.060.04
    First touch, offensive corners %0.350.64
    First touch, defensive corners %0.560.65
    OtherVfB Stuttgart IIPreussen Münster
    Throw-in control0.740.71
    The goalkeepersJerik von der Felsen (VfB Stuttgart II)Morten Jens Behrens (Preussen Münster)
    Saves107
    Save %67%50%
    xG prevented49%28%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins VfB Stuttgart II vs Preussen Münster according to our model?

    The model gives VfB Stuttgart II a 51% win probability. Full 1X2 picture: VfB Stuttgart II 51%, draw 24%, Preussen Münster 25%.

    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 59% 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.