3. Liga26°1,5 mm12 km/h

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    Rot-Weiss EssenRot-Weiss EssenPossession control
    vs
    HavelseHavelseLow block & direct
    The model's lean: 1 · Rot-Weiss Essen (72%)Best value by the model: Under 3,5 @ 2.02 (+4 %)

    Rot-Weiss EssenHavelse · 3. Liga

    1 · Rot-Weiss Essen 72%X 16%12% Havelse · 2

    Analysis: Rot-Weiss EssenHavelse

    Sofia Andersson · · How the predictions work

    Seventy-two percent: a compelling figure that underscores Rot-Weiss Essen’s dominance in the betting markets for their clash against Havelse. With probabilities heavily leaning in their favor and a potent 13-match scoring streak, the numbers suggest that Essen's attack is not just firing on all cylinders—it's practically unstoppable in the 3. Liga. Their possession-based style is likely to assert control over Havelse, who will likely sit deep and hope to capitalize on direct breaks.

    Rot-Weiss Essen, a side that wins 55% of their home fixtures historically, is well-poised to exploit Havelse's defensive vulnerabilities. The expected goals tally, 2.66 for Essen compared to merely 0.93 for Havelse, signals a probable one-sided affair. The small head-to-head sample—a win and a draw for Essen—shouldn’t distract from current form and stats like xG and xPoints, both favoring the hosts. Most likely outcomes hover around comfortable wins for Essen, with 2-0 leading the pack at 10%.

    Havelse's chances of an upset appear slim, with a paltry 12% chance of victory and a style ill-suited to wrest control from a possession-dominant opponent. Still, with both teams to score at 56%, a Havelse goal isn’t out of the question if their direct approach clicks just right. Yet, even if they manage to breach Essen’s defense, the higher probability lies with a 2-1 or 3-0 scoreline given Essen's attacking prowess.

    The model also points to intriguing betting angles. While Rot-Weiss Essen is rightly favored, the draw at odds of 6.6 with Pinnacle offers a 9% edge, albeit against a backdrop of distant likelihood. More pragmatic is the under 3.5 goals at odds of 2.2, presenting a 14% edge and a sensible hedge against a lower tempo or a rainy afternoon dampening the goal tally. Smart bettors might see value in Essen anchoring their accumulators, but the under 3.5 seems the shrewdest of punts.

    Rot-Weiss EssenRot-Weiss Essen
    Form LLLWW
    League ranking xG #1xGA #15xT #10xP/match #10Points #3
    Key players
    • Kaito MizutaLWxG 0.21 · xT 0.18
    • Marek JanssenFxG 0.53 · xT 0.05
    • Dickson AbiamaLWxG 0.39 · xT 0.18
    HavelseHavelse
    Form LWLWL
    League ranking xG #18xGA #20xT #20xP/match #14Points #17
    Key players
    • Marko IlicFxG 0.11 · xT 0.15
    • John Xaver PosseltFxG 0.37 · xT 0.07
    • Arlind RexhepiFxG 0.08 · xT 0.12

    Match prediction: Rot-Weiss EssenHavelse

    Predicted score matrix

    Havelse
    Rot-Weiss Essen
    0
    1
    2
    3
    4+
    0
    0–02.9%
    0–12.4%
    0–21.2%
    0–30.4%
    0–4+0.1%
    1
    1–07.2%
    1–17.0%
    1–23.2%
    1–31.0%
    1–4+0.3%
    2
    2–09.8%
    2–19.1%
    2–24.2%
    2–31.3%
    2–4+0.4%
    3
    3–08.7%
    3–18.1%
    3–23.7%
    3–31.2%
    3–4+0.3%
    4+
    4+–011.0%
    4+–110.2%
    4+–24.7%
    4+–31.5%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-19%
    3. 3.3-09%
    4. 4.3-18%
    5. 5.1-07%
    Expected goals
    2,660,93
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,6
    Under 2,530%
    @3.35EV+2%
    Over 2,570%
    @1.28

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rot-Weiss Essen to win72%
    • Over 1.5 goals88%

    Combined probability

    67%

    Fair odds

    1.50

    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 win72%
    • Over 2.5 goals70%
    • Ramien Safi to score33%

    Combined probability

    19%

    Fair odds

    5.28

    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 score56%
    • Over 2.5 goals70%
    • Ramien Safi to score33%
    • Johann Berger to be booked22%

    Combined probability

    4%

    Fair odds

    27.22

    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+).

    • Under 3.552% probability@2.02PinnacleEV+4%
    • Under 3.552% probability@2.00BetsafeEV+3%
    • Under 3.552% probability@2.00BetssonEV+3%
    Bookmaker1 · Rot-Weiss EssenX2 · Havelse
    Betsafe1.345.356.50
    Betsson1.345.356.50
    Nordicbet1.345.356.50
    Pinnacle1.30
    EV+ 0%
    6.08
    6.83

    Odds updated 12 Aug, 13:35

    Odds movement

    Market signal

    The market has moved clearly towards an Havelse win since 9 August — the odds have shortened from 7.48 to 6.83 (−9%).

    1+5 %
    75 %70 %

    1.241.30

    X-4 %
    17 %12 %

    6.346.08

    2-9 %
    15 %10 %

    7.486.83

    Pinnacle · 4 recorded price levels · 09/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Rot-Weiss Essen 1Draw 1Havelse 0
    Goals: 52 (⌀ 3,5)

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

    Key facts

    • Rot-Weiss Essen have scored in 13 consecutive league matches.
    • Rot-Weiss Essen win 55% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    Rot-Weiss Essen
    Havelse
    When goals are scored and conceded 2025
    Rot-Weiss Essen (7866)
    Havelse (5789)
    Pass networks

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

    Rot-Weiss Essen
    Jose Enrique Rios Alonso: 176 passningar, xT 0.31AlonsoTorben Musel: 170 passningar, xT 0.28MuselKaito Mizuta: 152 passningar, xT 2.09MizutaTobias Kraulich: 127 passningar, xT 0.32KraulichMichael Schultz: 122 passningar, xT 0.33SchultzJakob Golz: 111 passningar, xT 0.25GolzJannik Hofmann: 106 passningar, xT 0.49HofmannMichał Kostka: 104 passningar, xT 0.34KostkaBen Huning: 102 passningar, xT 0.31HuningLucas Brumme: 79 passningar, xT 0.66BrummeFranci Clarck Bouebari Kitsamoutse: 74 passningar, xT 0.35Kitsamoutse
    Havelse
    Julius Düker: 153 passningar, xT 0.32DükerJohann Berger: 136 passningar, xT 0.25BergerBesfort Leutrim Kolgeci: 130 passningar, xT 0.31KolgeciSemi Belkahia: 128 passningar, xT 0.12BelkahiaNorman Quindt: 113 passningar, xT 0.24QuindtMarko Ilic: 103 passningar, xT 0.81IlicNassim Boujellab: 93 passningar, xT 0.14BoujellabArlind Rexhepi: 88 passningar, xT 0.31RexhepiDennis Duah: 83 passningar, xT 0.06DuahLeon Sommer: 78 passningar, xT 1.02SommerEmre Aytun: 59 passningar, xT 0.25Aytun
    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
    Jose Enrique Rios Alonso: 176 passningar, xT 0.31AlonsoTorben Musel: 170 passningar, xT 0.28MuselKaito Mizuta: 152 passningar, xT 2.09MizutaTobias Kraulich: 127 passningar, xT 0.32KraulichMichael Schultz: 122 passningar, xT 0.33SchultzJakob Golz: 111 passningar, xT 0.25GolzJannik Hofmann: 106 passningar, xT 0.49HofmannMichał Kostka: 104 passningar, xT 0.34KostkaBen Huning: 102 passningar, xT 0.31HuningLucas Brumme: 79 passningar, xT 0.66BrummeFranci Clarck Bouebari Kitsamoutse: 74 passningar, xT 0.35Kitsamoutse
    Havelse
    Julius Düker: 153 passningar, xT 0.32DükerJohann Berger: 136 passningar, xT 0.25BergerBesfort Leutrim Kolgeci: 130 passningar, xT 0.31KolgeciSemi Belkahia: 128 passningar, xT 0.12BelkahiaNorman Quindt: 113 passningar, xT 0.24QuindtMarko Ilic: 103 passningar, xT 0.81IlicNassim Boujellab: 93 passningar, xT 0.14BoujellabArlind Rexhepi: 88 passningar, xT 0.31RexhepiDennis Duah: 83 passningar, xT 0.06DuahLeon Sommer: 78 passningar, xT 1.02SommerEmre Aytun: 59 passningar, xT 0.25Aytun

    The teams in numbers

    PerformanceRot-Weiss EssenHavelse
    Points7035
    xPoints54.548.6
    xG per match1.81.3
    xGA per match1.82
    xG within 8s of winning the ball0.20.21
    xGA within 8s of losing the ball0.230.21
    Playing styleRot-Weiss EssenHavelse
    Build-up efficiency0.320.31
    Field tilt0.50.41
    xT per match1.10.83
    xTA per match1.11.4
    Won balls, offensive half2624
    Pressing intensity0.220.23
    Pressing efficiency0.310.29
    Pressing efficiency, offensive half0.360.34
    Entries into the box per match1410
    Entries into the box against1216
    Pass completion %0.730.7
    Pass completion % under pressure0.70.65
    Passes per match320278
    Passes against per match327374
    Switches of play per match18.511.9
    Long balls per match2925
    Set piecesRot-Weiss EssenHavelse
    xG from free kicks0.080.1
    Corners per match64.5
    Corners against per match5.76.3
    xG per corner0.080.06
    xGA per corner against0.050.06
    First touch, offensive corners %0.340.32
    First touch, defensive corners %0.60.59
    OtherRot-Weiss EssenHavelse
    Throw-in control0.760.67
    The goalkeepersJakob Golz (Rot-Weiss Essen)Tom Opitz (Havelse)
    Saves90116
    Save %65%68%
    xG prevented34%47%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives Rot-Weiss Essen a 72% win probability. Full 1X2 picture: Rot-Weiss Essen 72%, draw 16%, Havelse 12%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 70% and under at 30%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.