3. Liga18°23 km/h

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    Rot-Weiss EssenRot-Weiss EssenPossession control
    10
    Viktoria KölnViktoria KölnPossession control
    The model's lean: 1 · Rot-Weiss Essen (50%)Best value by the model: X · Draw @ 4.44 (+10 %)

    Rot-Weiss EssenViktoria Köln · 3. Liga

    1 · Rot-Weiss Essen 50%X 25%26% Viktoria Köln · 2

    Analysis: Rot-Weiss EssenViktoria Köln

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

    Rot-Weiss Essen’s recent dominance in their limited encounters with Viktoria Köln sets an intriguing stage for their latest clash. With the hosts having triumphed in three out of four meetings since 2024, their historical edge may offer a psychological advantage, albeit from a small sample. This advantage reflects in the model’s probabilities, with Essen given a 50% chance of victory, significantly higher than the visitors' 26%.

    The home side's expected goals (xG) of 1.81 surpasses Köln's 1.22, indicating a likely edge in offensive output. Yet, both teams share a similar possession-centric style, potentially leading to a tightly-contested midfield battle. Despite these factors, the model leans slightly toward a 1-1 draw as the single most likely scoreline, followed by a 2-1 or 1-0 victory for the hosts. The expected goals suggest Essen's attack might just have the cutting edge required to break through Köln’s defenses.

    When it comes to predicting the overall goal tally, the numbers suggest a tendency towards over 2.5 goals, rated at 58%. Both teams scoring is also plausible at 59%. However, with both sides adopting a possession-based approach, a measure of caution in expecting a high-scoring affair is advisable. The expected goal averages and defensive records indicate a more controlled game than the over/under line implies.

    For the sharp punters, the under 3.5 goal market presents a calculated opportunity. Priced at 1.62 with Betsafe, Betsson, and Nordicbet, there’s a clear value edge here, as the model’s estimation of 64% probability shows a 4% advantage. While the allure of goals might tempt some, the value lies in banking on a more subdued scoreline. This angle not only aligns with the statistical leanings but also offers a reliable play against an unpredictable head-to-head history.

    Rot-Weiss EssenRot-Weiss Essen
    Form WWLWD
    League ranking xG #7xGA #9xT #4xP/match #10Points #8
    Key players
    • Max GeschwillCBxG 0.02 · xT 0.20
    • Ben HuningCBxG 0.06 · xT 0.08
    • Janne SietanCDMxG 0.06 · xT 0.06
    Viktoria KölnViktoria Köln
    Form LDLWW
    League ranking xG #1xGA #10xT #17xP/match #5Points #14
    Key players
    • David OttoFxG 0.63 · xT 0.01
    • Taylan DumanFxG 0.35 · xT -0.01
    • Tim KlossCBxG 0.00 · xT 0.10
    Final score
    10
    The model called the outcome
    Predicted probabilities: Rot-Weiss Essen 50% · Draw 25% · Viktoria Köln 26%

    Match prediction: Rot-Weiss EssenViktoria Köln

    Predicted score matrix

    Viktoria Köln
    Rot-Weiss Essen
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–15.6%
    0–23.6%
    0–31.5%
    0–4+0.6%
    1
    1–08.4%
    1–111.0%
    1–26.5%
    1–32.7%
    1–4+1.1%
    2
    2–07.9%
    2–19.7%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.8%
    3–15.8%
    3–23.5%
    3–31.4%
    3–4+0.6%
    4+
    4+–03.2%
    4+–13.9%
    4+–22.4%
    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. 5.1-27%
    Expected goals
    1,811,22
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.48EV+4%
    Over 2,558%
    @1.48

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rot-Weiss Essen to win50%
    • Over 1.5 goals81%

    Combined probability

    42%

    Fair odds

    2.37

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

    02 · 3 legs

    Balanced

    • Rot-Weiss Essen to win50%
    • Over 2.5 goals58%
    • Torben Müsel to score30%

    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 goals58%
    • Torben Müsel to score30%
    • Meiko Sponsel 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+).

    • X · Draw25% probability@4.44PinnacleEV+10%reference odds
    • Under 3.564% probability@1.63PinnacleEV+5%reference odds
    • Under 3.564% probability@1.62BetsafeEV+4%reference odds
    Bookmaker1 · Rot-Weiss EssenX2 · Viktoria Köln
    Betsafe1.783.853.70
    Betsson1.783.853.70
    Nordicbet1.783.853.70
    Pinnacle1.82
    EV+ 10%
    4.44
    3.54

    Odds updated 5 Sept, 10:32

    Odds movement

    1-4 %
    54 %49 %

    1.901.82

    X+5 %
    24 %19 %

    4.244.44

    2+10 %
    30 %25 %

    3.213.54

    Pinnacle · 11 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Rot-Weiss Essen 3Draw 0Viktoria Köln 1
    Goals: 53 (⌀ 2)

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

    Key facts

    • Rot-Weiss Essen win 56% of their home matches all-time (39 played).
    xG & xGA per match — 3-game rolling average

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

    Rot-Weiss Essen
    Viktoria Köln
    When goals are scored and conceded 2026
    Rot-Weiss Essen (35)
    Viktoria Köln (97)
    Pass networks

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

    Rot-Weiss Essen
    Max Geschwill: 184 passningar, xT 0.57GeschwillBen Huning: 156 passningar, xT 0.23HuningJakob Golz: 111 passningar, xT 0.25GolzJanne Sietan: 108 passningar, xT 0.17SietanJannik Hofmann: 94 passningar, xT 0.6HofmannTony Menzel: 76 passningar, xT -0.14MenzelFranci Clarck Bouebari Kitsamoutse: 74 passningar, xT 0.8KitsamoutseNoah Phil Pesch: 43 passningar, xT -0.01PeschMichał Kostka: 31 passningar, xT 0.09KostkaSemir Telalović: 30 passningar, xT 0.21TelalovićDickson Abiama: 26 passningar, xT 0.73Abiama
    Viktoria Köln
    Tim Kloss: 255 passningar, xT 0.3KlossTobias Eisenhuth: 245 passningar, xT 0.51EisenhuthNiklas Swider: 169 passningar, xT 0.29SwiderArne Schulz: 132 passningar, xT 0.17SchulzMeiko Sponsel: 116 passningar, xT 0.07SponselTaylan Duman: 112 passningar, xT -0.03DumanLucas Wolf: 87 passningar, xT 0.02WolfKilian Jakob: 63 passningar, xT 0.18JakobDavid Otto: 51 passningar, xT 0.11OttoNiklas Castelle: 32 passningar, xT -0.08CastelleVerthomy Schilo Boboy: 31 passningar, xT 0.02Boboy
    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.

    Rot-Weiss Essen
    Max Geschwill: 184 passningar, xT 0.57GeschwillBen Huning: 156 passningar, xT 0.23HuningJakob Golz: 111 passningar, xT 0.25GolzJanne Sietan: 108 passningar, xT 0.17SietanJannik Hofmann: 94 passningar, xT 0.6HofmannTony Menzel: 76 passningar, xT -0.14MenzelFranci Clarck Bouebari Kitsamoutse: 74 passningar, xT 0.8KitsamoutseNoah Phil Pesch: 43 passningar, xT -0.01PeschMichał Kostka: 31 passningar, xT 0.09KostkaSemir Telalović: 30 passningar, xT 0.21TelalovićDickson Abiama: 26 passningar, xT 0.73Abiama
    Viktoria Köln
    Tim Kloss: 255 passningar, xT 0.3KlossTobias Eisenhuth: 245 passningar, xT 0.51EisenhuthNiklas Swider: 169 passningar, xT 0.29SwiderArne Schulz: 132 passningar, xT 0.17SchulzMeiko Sponsel: 116 passningar, xT 0.07SponselTaylan Duman: 112 passningar, xT -0.03DumanLucas Wolf: 87 passningar, xT 0.02WolfKilian Jakob: 63 passningar, xT 0.18JakobDavid Otto: 51 passningar, xT 0.11OttoNiklas Castelle: 32 passningar, xT -0.08CastelleVerthomy Schilo Boboy: 31 passningar, xT 0.02Boboy

    The teams in numbers

    PerformanceRot-Weiss EssenViktoria Köln
    Points43
    xPoints4.23.4
    xG per match1.72.5
    xGA per match1.41.5
    xG within 8s of winning the ball0.270.15
    xGA within 8s of losing the ball0.030.17
    Playing styleRot-Weiss EssenViktoria Köln
    Build-up efficiency0.320.3
    Field tilt0.510.49
    xT per match1.40.81
    xTA per match0.980.78
    Won balls, offensive half2430
    Pressing intensity0.210.2
    Pressing efficiency0.340.31
    Pressing efficiency, offensive half0.30.24
    Entries into the box per match1611
    Entries into the box against108
    Pass completion %0.750.8
    Pass completion % under pressure0.680.73
    Passes per match339407
    Passes against per match280330
    Switches of play per match24.720.4
    Long balls per match4737
    Set piecesRot-Weiss EssenViktoria Köln
    xG from free kicks0.010
    Corners per match6.15
    Corners against per match4.14.5
    xG per corner0.020.06
    xGA per corner against0.040.01
    First touch, offensive corners %0.330.4
    First touch, defensive corners %0.670.67
    OtherRot-Weiss EssenViktoria Köln
    Throw-in control0.850.68
    The goalkeepersJakob Golz (Rot-Weiss Essen)Arne Schulz (Viktoria Köln)
    Saves106
    Save %67%46%
    xG prevented34%34%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rot-Weiss Essen vs Viktoria Köln according to our model?

    The model gives Rot-Weiss Essen a 50% win probability. Full 1X2 picture: Rot-Weiss Essen 50%, draw 25%, Viktoria Köln 26%.

    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 58% and under at 42%.

    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.