3. Liga

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    SV HavelseSV HavelseCounter-attacks & crosses
    vs
    GR
    GrossaspachCounter-attacks & crosses
    The model's lean: 2 · Grossaspach (45%)Best value by the model: X · Draw @ 3.92 (+5 %)
    Limited dataThe model has few previous matches with these teams in this league — the forecast therefore rests on thinner data than usual.

    SV HavelseGrossaspach · 3. Liga

    1 · SV Havelse 28%X 27%45% Grossaspach · 2

    Analysis: SV HavelseGrossaspach

    Anna Karlsson · · A data-driven preview · How the predictions work

    A 45% likelihood for Grossaspach to triumph over SV Havelse paints a relatively clear picture of tomorrow's clash. The visitors are poised as the favorites, both by traditional metrics and advanced numbers. Grossaspach’s attacking prowess, evidenced by their 1.8 expected goals per match, suggests they will be the more threatening side. Meanwhile, Havelse’s lower expected goals of 1.3 per match hints at a challenge in breaking down Grossaspach's defense effectively.

    Despite Havelse's solid defensive record, conceding only 0.87 expected goals against per game, the home side's chances hinge on their ability to repel Grossaspach's attacking waves while striking efficiently on the counter. However, with Grossaspach’s ability to mirror Havelse's counter-attacking style, they might just have the upper hand in exploiting any defensive lapses.

    With both teams relying on similar tactics of counter-attacks and crosses, the match could develop into a tactical standoff. However, the numbers favor Grossaspach slightly, with a higher expected goals tally and more points accrued so far in the season. The most probable outcome might be a 1-2 victory for the visitors, aligning with the model's suggestion of a 9% likelihood for this scoreline. The potential for goals is heightened, with a 65% probability of going over 2.5 goals and both teams finding the net.

    The clear betting angle zeros in on Grossaspach's away win, which offers value at odds of 2.25 with Betsafe, Betsson, and Nordicbet. As the model rates this outcome at 45%, bettors have a 1% edge to leverage. Grossaspach's slight advantage in form and expected output makes backing them a calculated play.

    SV HavelseSV Havelse
    Form WL
    League ranking xG #14xGA #2xT #17xP/match #3Points #17
    Key players
    • Jesse Edem TugbenyoFxG 0.23 · xT 0.01
    • Kwasi Okyere WriedtFxG 0.26 · xT -0.01
    • Kevin SchumacherLWxG 0.01 · xT 0.15
    Grossaspach
    Form WLLW
    League ranking xG #4xGA #17xT #1xP/match #10Points #8
    Key players
    • Marlon Freddy FaßFxG 0.44 · xT 0.01
    • Fabian EiseleFxG 0.72 · xT 0.06
    • Christian MistlCDMxG 0.04 · xT 0.14

    Match prediction: SV HavelseGrossaspach

    Predicted score matrix

    Grossaspach
    SV Havelse
    0
    1
    2
    3
    4+
    0
    0–03.8%
    0–16.6%
    0–26.6%
    0–34.2%
    0–4+3.2%
    1
    1–04.7%
    1–19.9%
    1–29.3%
    1–36.0%
    1–4+4.5%
    2
    2–03.5%
    2–16.8%
    2–26.6%
    2–34.2%
    2–4+3.2%
    3
    3–01.7%
    3–13.2%
    3–23.1%
    3–32.0%
    3–4+1.5%
    4+
    4+–00.8%
    4+–11.5%
    4+–21.5%
    4+–31.0%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.0-27%
    5. 5.2-27%
    Expected goals
    1,411,93
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @2.45
    Over 2,565%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Grossaspach to win45%
    • Over 1.5 goals85%

    Combined probability

    43%

    Fair odds

    2.35

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

    02 · 3 legs

    Balanced

    • Grossaspach to win45%
    • Over 2.5 goals65%
    • Tim Rossmann to score24%

    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 score65%
    • Over 2.5 goals65%
    • Alexander Guiddir to score33%
    • Marius Kunde to be booked20%

    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+).

    • X · Draw27% probability@3.92PinnacleEV+5%reference odds
    Bookmaker1 · SV HavelseX2 · Grossaspach
    Betsafe3.003.602.05
    Betsson3.003.602.05
    Nordicbet3.003.602.05
    Pinnacle3.12
    EV+ 5%
    3.92
    2.06

    Odds updated 11 Sept, 14:29

    Odds movement

    1+6 %
    35 %30 %

    2.943.12

    X+3 %
    27 %22 %

    3.793.92

    2-4 %
    46 %41 %

    2.142.06

    Pinnacle · 10 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).

    SV Havelse
    Grossaspach
    When goals are scored and conceded 2026
    SV Havelse (44)
    Grossaspach (24)
    Pass networks

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

    SV Havelse
    Semi Belkahia: 81 passningar, xT 0.02BelkahiaDennis Duah: 78 passningar, xT 0.1DuahYannick Mausehund: 74 passningar, xT 0.1MausehundKevin Schumacher: 72 passningar, xT 0.23SchumacherOmer Hanin: 60 passningar, xT 0.06HaninJohann Berger: 59 passningar, xT 0.06BergerJesse Edem Tugbenyo: 57 passningar, xT 0.03TugbenyoLeon Sommer: 45 passningar, xT 0.71SommerEric Voufack: 23 passningar, xT 0.07VoufackKwasi Okyere Wriedt: 13 passningar, xT 0WriedtAlexander Guiddir: 9 passningar, xT 0Guiddir
    Grossaspach
    Antonis Aidonis: 181 passningar, xT 0.71AidonisMarius Kunde: 166 passningar, xT 0.41KundeArbnor Nuraj: 162 passningar, xT 0.32NurajJan Elias Rahn: 148 passningar, xT 0.67RahnLuca Damiano Molinari: 146 passningar, xT 0.97MolinariLoris Maier: 131 passningar, xT 0.09MaierVolkan Celiktas: 116 passningar, xT 0.31CeliktasMaximilian Reule: 109 passningar, xT 0.16ReuleTim Rossmann: 89 passningar, xT 0.07RossmannNiklas Pollex: 80 passningar, xT 0.89PollexChristian Mistl: 68 passningar, xT 0.18Mistl
    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.

    SV Havelse
    Semi Belkahia: 81 passningar, xT 0.02BelkahiaDennis Duah: 78 passningar, xT 0.1DuahYannick Mausehund: 74 passningar, xT 0.1MausehundKevin Schumacher: 72 passningar, xT 0.23SchumacherOmer Hanin: 60 passningar, xT 0.06HaninJohann Berger: 59 passningar, xT 0.06BergerJesse Edem Tugbenyo: 57 passningar, xT 0.03TugbenyoLeon Sommer: 45 passningar, xT 0.71SommerEric Voufack: 23 passningar, xT 0.07VoufackKwasi Okyere Wriedt: 13 passningar, xT 0WriedtAlexander Guiddir: 9 passningar, xT 0Guiddir
    Grossaspach
    Antonis Aidonis: 181 passningar, xT 0.71AidonisMarius Kunde: 166 passningar, xT 0.41KundeArbnor Nuraj: 162 passningar, xT 0.32NurajJan Elias Rahn: 148 passningar, xT 0.67RahnLuca Damiano Molinari: 146 passningar, xT 0.97MolinariLoris Maier: 131 passningar, xT 0.09MaierVolkan Celiktas: 116 passningar, xT 0.31CeliktasMaximilian Reule: 109 passningar, xT 0.16ReuleTim Rossmann: 89 passningar, xT 0.07RossmannNiklas Pollex: 80 passningar, xT 0.89PollexChristian Mistl: 68 passningar, xT 0.18Mistl

    The teams in numbers

    PerformanceSV HavelseGrossaspach
    Points36
    xPoints3.45.9
    xG per match1.31.8
    xGA per match0.871.8
    xG within 8s of winning the ball0.10.27
    xGA within 8s of losing the ball0.140.21
    Playing styleSV HavelseGrossaspach
    Build-up efficiency0.230.33
    Field tilt0.270.65
    xT per match0.81.6
    xTA per match0.711.2
    Won balls, offensive half1627
    Pressing intensity0.220.24
    Pressing efficiency0.30.36
    Pressing efficiency, offensive half0.170.32
    Entries into the box per match1022
    Entries into the box against1314
    Pass completion %0.720.73
    Pass completion % under pressure0.680.68
    Passes per match293375
    Passes against per match356286
    Switches of play per match2022.4
    Long balls per match3635
    Set piecesSV HavelseGrossaspach
    xG from free kicks0.030.03
    Corners per match3.56.5
    Corners against per match45.5
    xG per corner00.04
    xGA per corner against0.040.04
    First touch, offensive corners %0.290.42
    First touch, defensive corners %0.50.68
    OtherSV HavelseGrossaspach
    Throw-in control0.760.73
    The goalkeepersYannick Mausehund (SV Havelse)Maximilian Reule (Grossaspach)
    Saves216
    Save %100%84%
    xG prevented100%86%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins SV Havelse vs Grossaspach according to our model?

    The model gives Grossaspach a 45% win probability. Full 1X2 picture: SV Havelse 28%, draw 27%, Grossaspach 45%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.