3. Liga10°1,5 mm17 km/h

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    DuisburgDuisburgBalanced & physical
    1–1
    Viktoria KölnViktoria KölnPossession control
    The model's lean: 1 · Duisburg (48%)Best value by the model: Under 3,5 @ 1.68 (+7 %)

    Duisburg vs Viktoria Köln · 3. Liga

    1 · Duisburg 48%X 27%25% Viktoria Köln · 2

    Prediction summary

    Final score 1–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Duisburg vs Viktoria Köln (3. Liga, Sunday, 18 October 2026): Duisburg win 48%, draw 27%, Viktoria Köln win 25%. Expected goals (xG): Duisburg 1.88, Viktoria Köln 1.17. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 59%. Double chance: Duisburg or draw 75%, Viktoria Köln or draw 52%. Prediction updated Friday, 9 October 2026.

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    Analysis: Duisburg – Viktoria Köln

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

    Duisburg's 48% win probability suggests they have the upper hand against Viktoria Köln, yet both sides are on notable winning streaks, adding intrigue to this matchup. Duisburg has a 78% all-time home win rate, which underscores their fortress-like presence. However, Viktoria Köln’s current form, with four consecutive victories, means they are far from pushovers. This clash pits Duisburg's balanced physicality against the possession-oriented visitors, making for an intriguing tactical battle.

    The expected goals tilt in Duisburg's favor at 1.88 compared to Viktoria Köln's 1.17, hinting at a slight edge for the home side. Yet, with both teams scoring in 59% of simulations and a 59% chance of over 2.5 goals, goals seem likely despite the expected 3.6 mm of rain, which could dampen attacking fluency. The most probable scorelines—1-1, 2-1, and 1-0—don't scream high-scoring affair but suggest competitive tension.

    Duisburg's resilience is highlighted by scoring in nine straight league matches, but their head-to-head record against Viktoria Köln since 2024 shows two draws in two matches—a small sample, but significant enough to suggest a tight contest. Viktoria Köln will aim to disrupt Duisburg’s home dominance, leveraging their marginally superior xG per match of 2.1.

    Given the model’s prediction and current streaks, a 2-1 victory for Duisburg appears slightly more probable, aligning with their home prowess and current form. The under 3.5 goals offer at odds of 1.62 with Betsafe and Nordicbet presents a value proposition, given the model's 64% estimation—though the under 2.5 at 2.48 with Betsafe also carries a 3% edge, suggesting potential for cautious bettors looking to capitalize on a tightly contested affair.

    DuisburgDuisburg
    Form WLWWW
    League ranking xG #3xGA #1xT #11xP/match #1Points #1
    Key players
    • Can Beklan CoşkunLWBxG 0.06 · xT 0.15
    • Lex Tyger LobingerFxG 0.57 · xT 0.03
    • Peter RemmertFxG 1.05 · xT 0.06
    Viktoria KölnViktoria Köln
    Form LWWWW
    League ranking xG #1xGA #4xT #12xP/match #7Points #2
    Key players
    • Tobias EisenhuthCBxG 0.02 · xT 0.14
    • Lucas WolfLWxG 0.33 · xT 0.04
    • Niklas CastelleCAMxG 0.25 · xT 0.05
    Final score
    1 – 1
    The model missed the outcome
    Predicted probabilities: Duisburg 48% · Draw 27% · Viktoria Köln 25%

    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 - MSV DuisburgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,87fair 5,66-14 %
    Miss
    Matchresultat - Viktoria Köln 1904Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,56fair 14,62-55 %
    Miss

    Match prediction: Duisburg – Viktoria Köln

    Predicted score matrix

    Viktoria Köln →
    Duisburg →
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–15.3%
    0–23.2%
    0–31.3%
    0–4+0.5%
    1
    1–08.6%
    1–110.8%
    1–26.1%
    1–32.4%
    1–4+0.9%
    2
    2–08.4%
    2–19.8%
    2–25.7%
    2–32.2%
    2–4+0.8%
    3
    3–05.2%
    3–16.1%
    3–23.6%
    3–31.4%
    3–4+0.5%
    4+
    4+–03.8%
    4+–14.4%
    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. 3.1-09%
    4. 4.2-08%
    5. 5.3-16%
    Expected goals
    1,88–1,17
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.48EV+3%
    Over 2,559%
    @1.53

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Duisburg to win48%
    • Over 1.5 goals81%

    Combined probability

    45%

    Fair odds

    2.23

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

    02 · 3 legs

    Balanced

    • Duisburg to win48%
    • Over 2.5 goals59%
    • Lex-Tyger Lobinger to score33%

    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%
    • Lex-Tyger Lobinger to score33%
    • Tobias Eisenhuth 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

    The model's value spots

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

    • Under 3.564% probability@1.68PinnacleEV+7%reference odds
    • X · Draw27% probability@3.82PinnacleEV+5%reference odds
    • Both teams to score: No41% probability@2.50Bet365EV+3%reference odds
    Bookmaker1 · DuisburgX2 · Viktoria Köln
    Bet365
    EV+ 1%
    2.10
    3.502.88
    Betsafe
    EV+ 2%
    2.12
    3.552.95
    Nordicbet
    EV+ 2%
    2.12
    3.552.95
    Pinnacle
    EV+ 1%
    2.10
    EV+ 5%
    3.82
    3.14

    Odds updated 18 Oct, 06:56

    Odds movement

    10 %
    47 %42 %

    2.11 → 2.10

    X+2 %
    27 %22 %

    3.76 → 3.82

    2+4 %
    33 %28 %

    3.02 → 3.14

    Pinnacle · 6 recorded price levels · 15/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Duisburg 0Draw 2Viktoria Köln 0
    Goals: 1–1 (⌀ 1)

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

    Key facts

    • MSV Duisburg come into this round on 3 straight wins.
    • MSV Duisburg have scored in 9 consecutive league matches.
    • Viktoria Koln come into this round on 4 straight wins.
    • MSV Duisburg win 78% of their home matches all-time (23 played).
    xG & xGA per match — 3-game rolling average

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

    Duisburg
    Viktoria Köln
    When goals are scored and conceded — 2026
    Duisburg (22–9)
    Viktoria Köln (24–11)
    Pass networks

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

    Duisburg
    Tobias Fleckstein: 211 passningar, xT 0.33FlecksteinMaximilian Braune: 194 passningar, xT 0.39BrauneBen Schlicke: 175 passningar, xT 0.26SchlickeRasim Bulić: 163 passningar, xT 0.31BulićMartin Ens: 158 passningar, xT 0.12EnsAljaz Casar: 138 passningar, xT 0.19CasarCan Beklan Coşkun: 137 passningar, xT 0.27CoşkunJoshua Bitter: 82 passningar, xT 0.4BitterNiklas Jessen: 65 passningar, xT 0.22JessenMax Besuschkow: 57 passningar, xT 0BesuschkowConor Noß: 49 passningar, xT 0.04Noß
    Viktoria Köln
    Tim Kloss: 448 passningar, xT 0.75KlossTobias Eisenhuth: 402 passningar, xT 0.58EisenhuthArne Schulz: 287 passningar, xT 0.2SchulzNiklas Swider: 283 passningar, xT 0.43SwiderTaylan Duman: 251 passningar, xT 0.33DumanMeiko Sponsel: 219 passningar, xT 0.43SponselLucas Wolf: 153 passningar, xT 0.19WolfPascal Fallmann: 87 passningar, xT 0.98FallmannNiklas Castelle: 74 passningar, xT 0.38CastelleDavid Otto: 72 passningar, xT -0.1OttoYannick Tonye: 71 passningar, xT 0.26Tonye
    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.

    Duisburg
    Tobias Fleckstein: 211 passningar, xT 0.33FlecksteinMaximilian Braune: 194 passningar, xT 0.39BrauneBen Schlicke: 175 passningar, xT 0.26SchlickeRasim Bulić: 163 passningar, xT 0.31BulićMartin Ens: 158 passningar, xT 0.12EnsAljaz Casar: 138 passningar, xT 0.19CasarCan Beklan Coşkun: 137 passningar, xT 0.27CoşkunJoshua Bitter: 82 passningar, xT 0.4BitterNiklas Jessen: 65 passningar, xT 0.22JessenMax Besuschkow: 57 passningar, xT 0BesuschkowConor Noß: 49 passningar, xT 0.04Noß
    Viktoria Köln
    Tim Kloss: 448 passningar, xT 0.75KlossTobias Eisenhuth: 402 passningar, xT 0.58EisenhuthArne Schulz: 287 passningar, xT 0.2SchulzNiklas Swider: 283 passningar, xT 0.43SwiderTaylan Duman: 251 passningar, xT 0.33DumanMeiko Sponsel: 219 passningar, xT 0.43SponselLucas Wolf: 153 passningar, xT 0.19WolfPascal Fallmann: 87 passningar, xT 0.98FallmannNiklas Castelle: 74 passningar, xT 0.38CastelleDavid Otto: 72 passningar, xT -0.1OttoYannick Tonye: 71 passningar, xT 0.26Tonye

    The teams in numbers

    PerformanceDuisburgViktoria Köln
    Points2118
    xPoints15.612.2
    xG per match1.92.1
    xGA per match1.11.2
    xG within 8s of winning the ball0.380.31
    xGA within 8s of losing the ball0.130.24
    Playing styleDuisburgViktoria Köln
    Build-up efficiency0.310.29
    Field tilt0.490.56
    xT per match11
    xTA per match1.10.7
    Won balls, offensive half2525
    Pressing intensity0.20.21
    Pressing efficiency0.260.35
    Pressing efficiency, offensive half0.180.32
    Entries into the box per match1311
    Entries into the box against119
    Pass completion %0.750.83
    Pass completion % under pressure0.710.8
    Passes per match331493
    Passes against per match383283
    Switches of play per match19.617.8
    Long balls per match3229
    Set piecesDuisburgViktoria Köln
    xG from free kicks0.090.03
    Corners per match6.45
    Corners against per match35.4
    xG per corner0.060.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.420.38
    First touch, defensive corners %0.540.44
    OtherDuisburgViktoria Köln
    Throw-in control0.710.8
    The goalkeepersMaximilian Braune (Duisburg)Arne Schulz (Viktoria Köln)
    Saves2418
    Save %75%62%
    xG prevented69%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Duisburg vs Viktoria Köln according to our model?

    The model gives Duisburg a 48% win probability. Full 1X2 picture: Duisburg 48%, draw 27%, Viktoria Köln 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.

    How many goals are expected in Duisburg vs Viktoria Köln?

    The model expects 1.88 goals (xG) for Duisburg and 1.17 for Viktoria Köln, 3.04 in total.

    What does the model say about double chance?

    Duisburg or draw (1X) 75%, Viktoria Köln or draw (X2) 52% and no draw (12) 73%.

    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.