3. Liga10°10,4 mm27 km/h

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    Viktoria KölnViktoria KölnPossession control
    3–1
    VerlVerlPossession control
    The model's lean: 1 · Viktoria Köln (53%)Best value by the model: Under 3,5 @ 1.93 (+8 %)

    Viktoria Köln vs Verl · 3. Liga

    1 · Viktoria Köln 53%X 23%24% Verl · 2

    Prediction summary

    Final score 3–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Viktoria Köln vs Verl (3. Liga, Saturday, 24 October 2026): Viktoria Köln win 53%, draw 23%, Verl win 24%. Expected goals (xG): Viktoria Köln 1.92, Verl 1.47. Most likely score: 1-1 (10%). Over 2.5 goals 66%, both teams to score 66%. Double chance: Viktoria Köln or draw 76%, Verl or draw 47%. Prediction updated Friday, 16 October 2026.

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    Analysis: Viktoria Köln – Verl

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

    TEXT: Viktoria Köln's unbeaten run of six league matches stands as a testament to their recent form and consistency. As they prepare to host Verl, the stats and probabilities give the hosts a clear edge, with a 53% chance of victory and a substantial points lead in the standings. The expected goals metric reinforces this dominance, with Viktoria Köln predicted to net 1.92 goals, significantly ahead of Verl's 1.47. The visitors, however, bring scoring confidence of their own, having found the net in 11 straight league outings.

    Despite this, the small head-to-head sample of just four matches since 2024 gives Verl a slight historical edge. Yet, Viktoria Köln's playing style and overall xG superiority suggest they might turn the tide. Both sides favor possession control, but it's the hosts who are truly capitalizing on their opportunities, as highlighted by their superior xPoints of 15.4 to Verl's 9.0.

    With rain expected, goal-scoring conditions may be less than ideal, factoring into the likelihood of a tighter affair. The model heavily favors the under 3.5 goals market, presenting a 6% value edge at odds of 1.88 with both Betsafe and Nordicbet. Between cautious defenses and calculated attacks, a 1-1 draw seems the most plausible outcome.

    Viktoria KölnViktoria Köln
    Form WWWDD
    League ranking xG #2xGA #8xT #15xP/match #5Points #2
    Key players
    • Tobias EisenhuthCBxG 0.02 · xT 0.12
    • Niklas CastelleLWxG 0.32 · xT 0.06
    • Niklas SwiderCMxG 0.04 · xT 0.07
    VerlVerl
    Form DWDDL
    League ranking xG #17xGA #14xT #13xP/match #19Points #14
    Key players
    • Niko KijewskiLWBxG 0.01 · xT 0.12
    • Nick SeidelCBxG 0.03 · xT 0.18
    • Noah KonigCBxG 0.01 · xT 0.12
    Final score
    3 – 1
    The model called the outcome
    Predicted probabilities: Viktoria Köln 53% · Draw 23% · Verl 24%

    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 - SC VerlBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,12fair 8,98-10 %
    Miss
    Matchresultat - Viktoria Köln 1904Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,38fair 5,19-35 %
    Hit

    Match prediction: Viktoria Köln – Verl

    Predicted score matrix

    Verl →
    Viktoria Köln →
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–14.7%
    0–23.6%
    0–31.8%
    0–4+0.9%
    1
    1–06.2%
    1–19.8%
    1–27.0%
    1–33.4%
    1–4+1.7%
    2
    2–06.2%
    2–19.1%
    2–26.7%
    2–33.3%
    2–4+1.7%
    3
    3–04.0%
    3–15.9%
    3–24.3%
    3–32.1%
    3–4+1.1%
    4+
    4+–03.0%
    4+–14.4%
    4+–23.2%
    4+–31.6%
    4+–4+0.8%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-27%
    4. 4.2-27%
    5. 5.2-06%
    Expected goals
    1,92–1,47
    Both teams to score
    66%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    @3.00EV+3%
    Over 2,566%
    @1.33

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Viktoria Köln to win53%
    • Over 1.5 goals85%

    Combined probability

    42%

    Fair odds

    2.40

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

    02 · 3 legs

    Balanced

    • Viktoria Köln to win53%
    • Over 2.5 goals66%
    • David Otto to score28%

    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 score66%
    • Over 2.5 goals66%
    • David Otto to score28%
    • Joshua Chima Eze to be booked25%

    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 3.556% probability@1.93PinnacleEV+8%reference odds
    • X · Draw23% probability@4.54PinnacleEV+6%reference odds
    • Under 3.556% probability@1.88BetsafeEV+6%reference odds
    Bookmaker1 · Viktoria KölnX2 · Verl
    Betsafe1.654.254.00
    Nordicbet1.654.254.00
    Pinnacle1.67
    EV+ 6%
    4.54
    4.20

    Odds updated 24 Oct, 12:36

    Odds movement

    1-1 %
    60 %55 %

    1.68 → 1.67

    X+5 %
    23 %18 %

    4.34 → 4.54

    2+9 %
    25 %20 %

    3.84 → 4.20

    Pinnacle · 11 recorded price levels · 18/10/2026 → 24/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Viktoria Köln 1Draw 1Verl 2
    Goals: 4–9 (⌀ 3,2)

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

    Key facts

    • Viktoria Koln are unbeaten in their last 6 league matches.
    • Verl have scored in 11 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Viktoria Köln
    Verl
    When goals are scored and conceded — 2026
    Viktoria Köln (27–14)
    Verl (15–19)
    Pass networks

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

    Viktoria Köln
    Tim Kloss: 403 passningar, xT 0.78KlossTobias Eisenhuth: 373 passningar, xT 0.53EisenhuthNiklas Swider: 253 passningar, xT 0.22SwiderArne Schulz: 248 passningar, xT 0.22SchulzMeiko Sponsel: 221 passningar, xT 0.44SponselTaylan Duman: 190 passningar, xT 0.12DumanLucas Wolf: 141 passningar, xT 0.23WolfPascal Fallmann: 100 passningar, xT 1.29FallmannNiklas Castelle: 95 passningar, xT 0.32CastelleDavid Otto: 69 passningar, xT -0.09OttoVerthomy Schilo Boboy: 59 passningar, xT 0.04Boboy
    Verl
    Nick Seidel: 399 passningar, xT 0.73SeidelNoah Konig: 330 passningar, xT 0.71KonigTimo Schlieck: 286 passningar, xT 0.24SchlieckAlmin Mešanović: 239 passningar, xT 0.67MešanovićNiko Kijewski: 227 passningar, xT 0.49KijewskiFabian Wessig: 195 passningar, xT 0.32WessigJanne Berner: 171 passningar, xT 0.11BernerDennis Waidner: 155 passningar, xT 0.09WaidnerMika Clausen: 119 passningar, xT 0.28ClausenJoshua Chima Eze: 115 passningar, xT 0.07EzeAndré Leipold: 113 passningar, xT 0.41Leipold
    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.

    Viktoria Köln
    Tim Kloss: 403 passningar, xT 0.78KlossTobias Eisenhuth: 373 passningar, xT 0.53EisenhuthNiklas Swider: 253 passningar, xT 0.22SwiderArne Schulz: 248 passningar, xT 0.22SchulzMeiko Sponsel: 221 passningar, xT 0.44SponselTaylan Duman: 190 passningar, xT 0.12DumanLucas Wolf: 141 passningar, xT 0.23WolfPascal Fallmann: 100 passningar, xT 1.29FallmannNiklas Castelle: 95 passningar, xT 0.32CastelleDavid Otto: 69 passningar, xT -0.09OttoVerthomy Schilo Boboy: 59 passningar, xT 0.04Boboy
    Verl
    Nick Seidel: 399 passningar, xT 0.73SeidelNoah Konig: 330 passningar, xT 0.71KonigTimo Schlieck: 286 passningar, xT 0.24SchlieckAlmin Mešanović: 239 passningar, xT 0.67MešanovićNiko Kijewski: 227 passningar, xT 0.49KijewskiFabian Wessig: 195 passningar, xT 0.32WessigJanne Berner: 171 passningar, xT 0.11BernerDennis Waidner: 155 passningar, xT 0.09WaidnerMika Clausen: 119 passningar, xT 0.28ClausenJoshua Chima Eze: 115 passningar, xT 0.07EzeAndré Leipold: 113 passningar, xT 0.41Leipold

    The teams in numbers

    PerformanceViktoria KölnVerl
    Points2012
    xPoints15.49
    xG per match2.11.2
    xGA per match1.41.7
    xG within 8s of winning the ball0.40.22
    xGA within 8s of losing the ball0.210.34
    Playing styleViktoria KölnVerl
    Build-up efficiency0.290.3
    Field tilt0.540.61
    xT per match0.971
    xTA per match0.891.1
    Won balls, offensive half2319
    Pressing intensity0.210.23
    Pressing efficiency0.330.35
    Pressing efficiency, offensive half0.30.31
    Entries into the box per match1113
    Entries into the box against1014
    Pass completion %0.820.81
    Pass completion % under pressure0.790.77
    Passes per match486464
    Passes against per match295266
    Switches of play per match1730.9
    Long balls per match2840
    Set piecesViktoria KölnVerl
    xG from free kicks0.030.04
    Corners per match5.15.4
    Corners against per match4.74.4
    xG per corner0.040.01
    xGA per corner against0.030.03
    First touch, offensive corners %0.410.37
    First touch, defensive corners %0.430.57
    OtherViktoria KölnVerl
    Throw-in control0.810.79
    The goalkeepersArne Schulz (Viktoria Köln)Timo Schlieck (Verl)
    Saves2435
    Save %63%66%
    xG prevented41%36%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Viktoria Köln vs Verl according to our model?

    The model gives Viktoria Köln a 53% win probability. Full 1X2 picture: Viktoria Köln 53%, draw 23%, Verl 24%.

    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 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 66% according to the model.

    How many goals are expected in Viktoria Köln vs Verl?

    The model expects 1.92 goals (xG) for Viktoria Köln and 1.47 for Verl, 3.39 in total.

    What does the model say about double chance?

    Viktoria Köln or draw (1X) 76%, Verl or draw (X2) 47% and no draw (12) 77%.

    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.