3. Liga22°0,6 mm9 km/h

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    VerlVerlPossession control
    vs
    DuisburgDuisburgLow block & direct
    The model's lean: 1 · Verl (47%)

    VerlDuisburg · 3. Liga

    1 · Verl 47%X 25%28% Duisburg · 2

    Analysis: VerlDuisburg

    Oscar Nilsson · · How the predictions work

    Two matches, two victories for MSV Duisburg over Verl since 2024 — a head-to-head advantage, albeit from a slim sample, that might catch the eye. Yet, delve into the undercurrents of this clash, and it's Verl poised with the sharper edge. Despite trailing Duisburg in the points race (64 against 68) and xPoints (43.3 to 60.4), Verl holds court in the expected goals battle, a crucial metric fueled by their control-heavy style compared to Duisburg's low-block, direct approach.

    Verl's expected goals tally of 1.63 suggests a team not shy in front of goal, and when combined with Duisburg's 1.30, the model leans toward a scoreline with goals for both sides. Most likely outcomes hover around 1-1, but a 2-1 tilt in favour of Verl garners a 9% probability. With 56% leaning towards over 2.5 goals and 59% for both teams to score, the numbers hint at a lively affair, despite Verl's possession game clashing with Duisburg’s defensive setup.

    Verl's apparent superiority in crafting opportunities coupled with home advantage aligns with the model's 47% win probability for them. This points to a potential narrow victory, a sentiment echoed by expected goals and the more likely 2-1 scoreline. Weather disruptions aren't in play, so conditions should suit Verl's progressive style.

    MSV Duisburg might have the historical edge, but Verl's current trajectory and Pinnacle's odds suggest value lies with the home team at 2.25. The model's assessment offers a 6% edge, not a guarantee but a savvy wager, given Verl's tactical blueprint and statistical backing. With Verl's possession game likely to dictate, expect them to edge it, making a 2-1 home win more than just a possibility.

    VerlVerl
    Form WLWLW
    League ranking xG #12xGA #3xT #7xP/match #18Points #6
    Key players
    • Berkan TazLWxG 0.38 · xT 0.16
    • Fynn OttoCBxG 0.07 · xT 0.15
    • Timur GayretCMxG 0.11 · xT 0.18
    DuisburgDuisburg
    Form WLWDD
    League ranking xG #16xGA #2xT #17xP/match #2Points #4
    Key players
    • Lex Tyger LobingerFxG 0.49 · xT -0.01
    • Thilo TopkenFxG 0.45 · xT 0.00
    • Conor NoßRWxG 0.20 · xT 0.08

    Match prediction: VerlDuisburg

    Predicted score matrix

    Duisburg
    Verl
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–16.7%
    0–24.5%
    0–32.0%
    0–4+0.8%
    1
    1–08.4%
    1–111.7%
    1–27.4%
    1–33.2%
    1–4+1.4%
    2
    2–07.1%
    2–19.2%
    2–26.0%
    2–32.6%
    2–4+1.1%
    3
    3–03.9%
    3–15.0%
    3–23.2%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.3%
    4+–12.9%
    4+–21.9%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,631,30
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.18
    Over 2,556%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Verl to win47%
    • Over 1.5 goals79%

    Combined probability

    36%

    Fair odds

    2.76

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

    02 · 3 legs

    Balanced

    • Verl to win47%
    • Over 2.5 goals56%
    • Marco Wörner to score24%

    Combined probability

    7%

    Fair odds

    14.44

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score59%
    • Over 2.5 goals56%
    • Lex-Tyger Lobinger to score24%
    • Joshua Chima Eze to be booked24%

    Combined probability

    3%

    Fair odds

    36.98

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Verl47% probability@2.95PinnacleEV+39%
    • 1 · Verl47% probability@2.92BetsafeEV+38%
    • 1 · Verl47% probability@2.92BetssonEV+38%
    Bookmaker1 · VerlX2 · Duisburg
    Betsafe
    EV+ 38%
    2.92
    3.452.20
    Betsson
    EV+ 38%
    2.92
    3.452.20
    Nordicbet
    EV+ 38%
    2.92
    3.452.20
    Pinnacle
    EV+ 39%
    2.95
    3.652.19

    Odds updated 13 Aug, 12:23

    Odds movement

    Market signal

    The market has moved clearly towards an Duisburg win since 10 August — the odds have shortened from 2.82 to 2.19 (−22%).

    1+31 %
    42 %32 %

    2.262.95

    X-1 %
    30 %20 %

    3.673.65

    2-22 %
    43 %33 %

    2.822.19

    Pinnacle · 5 recorded price levels · 10/08/2026 → 13/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Verl 0Draw 0Duisburg 2
    Goals: 47 (⌀ 5,5)

    Head-to-head based on 3. Liga data since 2024.

    xG & xGA per match — 3-game rolling average

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

    Verl
    Duisburg
    When goals are scored and conceded 2025
    Verl (8248)
    Duisburg (6649)
    Pass networks

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

    Verl
    Martin Ens: 370 passningar, xT 0.44EnsFynn Otto: 313 passningar, xT 0.45OttoNiko Kijewski: 305 passningar, xT 0.23KijewskiOualid Mhamdi: 271 passningar, xT 0.55MhamdiBerkan Taz: 237 passningar, xT 0.83TazPhilipp Schulze: 193 passningar, xT 0.06SchulzeAlmin Mešanović: 175 passningar, xT 0.59MešanovićFabian Wessig: 137 passningar, xT 0.21WessigJoshua Chima Eze: 107 passningar, xT 0.04EzeYari Otto: 103 passningar, xT 0.01OttoJulian Stark: 97 passningar, xT 0.17Stark
    Duisburg
    Christian Viet: 204 passningar, xT 0.6VietBen Schlicke: 202 passningar, xT 0.37SchlickeRasim Bulić: 172 passningar, xT 0.33BulićTobias Fleckstein: 146 passningar, xT 0.11FlecksteinJoshua Bitter: 142 passningar, xT 0.19BitterNiklas Jessen: 138 passningar, xT 0.1JessenMaximilian Braune: 134 passningar, xT 0.53BrauneCan Beklan Coşkun: 101 passningar, xT 1.11CoşkunDominik Kother: 93 passningar, xT 0.64KotherMert Gockan: 81 passningar, xT 0.4GockanFlorian Kruger: 77 passningar, xT 0.47Kruger
    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.

    Verl
    Martin Ens: 370 passningar, xT 0.44EnsFynn Otto: 313 passningar, xT 0.45OttoNiko Kijewski: 305 passningar, xT 0.23KijewskiOualid Mhamdi: 271 passningar, xT 0.55MhamdiBerkan Taz: 237 passningar, xT 0.83TazPhilipp Schulze: 193 passningar, xT 0.06SchulzeAlmin Mešanović: 175 passningar, xT 0.59MešanovićFabian Wessig: 137 passningar, xT 0.21WessigJoshua Chima Eze: 107 passningar, xT 0.04EzeYari Otto: 103 passningar, xT 0.01OttoJulian Stark: 97 passningar, xT 0.17Stark
    Duisburg
    Christian Viet: 204 passningar, xT 0.6VietBen Schlicke: 202 passningar, xT 0.37SchlickeRasim Bulić: 172 passningar, xT 0.33BulićTobias Fleckstein: 146 passningar, xT 0.11FlecksteinJoshua Bitter: 142 passningar, xT 0.19BitterNiklas Jessen: 138 passningar, xT 0.1JessenMaximilian Braune: 134 passningar, xT 0.53BrauneCan Beklan Coşkun: 101 passningar, xT 1.11CoşkunDominik Kother: 93 passningar, xT 0.64KotherMert Gockan: 81 passningar, xT 0.4GockanFlorian Kruger: 77 passningar, xT 0.47Kruger

    The teams in numbers

    PerformanceVerlDuisburg
    Points6468
    xPoints43.360.4
    xG per match1.51.4
    xGA per match1.31.2
    xG within 8s of winning the ball0.240.26
    xGA within 8s of losing the ball0.230.19
    Playing styleVerlDuisburg
    Build-up efficiency0.290.3
    Field tilt0.670.5
    xT per match1.10.95
    xTA per match0.770.91
    Won balls, offensive half2529
    Pressing intensity0.220.21
    Pressing efficiency0.360.28
    Pressing efficiency, offensive half0.390.34
    Entries into the box per match1511
    Entries into the box against1012
    Pass completion %0.820.72
    Pass completion % under pressure0.780.67
    Passes per match530293
    Passes against per match223380
    Switches of play per match23.917.9
    Long balls per match3132
    Set piecesVerlDuisburg
    xG from free kicks0.070.15
    Corners per match6.25.2
    Corners against per match4.14
    xG per corner0.040.07
    xGA per corner against0.070.04
    First touch, offensive corners %0.50.35
    First touch, defensive corners %0.570.62
    OtherVerlDuisburg
    Throw-in control0.780.72
    The goalkeepersPhilipp Schulze (Verl)Maximilian Braune (Duisburg)
    Saves94111
    Save %67%71%
    xG prevented47%46%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Verl vs Duisburg according to our model?

    The model gives Verl a 47% win probability. Full 1X2 picture: Verl 47%, draw 25%, Duisburg 28%.

    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 56% and under at 44%.

    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.

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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.