3. Liga18°1,1 mm22 km/h

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    Rot-Weiss EssenRot-Weiss EssenPossession control
    vs
    Hansa RostockHansa RostockPossession control
    The model's lean: 1 · Rot-Weiss Essen (40%)Best value by the model: Under 2,5 @ 2.88 (+14 %)

    Rot-Weiss Essen vs Hansa Rostock · 3. Liga

    1 · Rot-Weiss Essen 40%X 25%35% Hansa Rostock · 2

    Analysis: Rot-Weiss EssenHansa Rostock

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Rot-Weiss Essen's recent form, marked by three consecutive victories, sets the tone for their meeting with Hansa Rostock. This momentum, coupled with their solid 60% win rate at home in the league, suggests a robust performance at their own ground. The hosts' preference for possession control aligns with the visitors' style, hinting at a tactical battle rather than an open contest.

    The model leans slightly toward the hosts, with a 40% probability of victory compared to Rostock's 35%. Despite this, the most likely scoreline remains a 1-1 draw, reflecting an evenly matched encounter. Essen's superiority in both points and expected goals, however, might give them a subtle edge. Notably, in their limited head-to-head encounters, the two sides have split results evenly, with Essen winning two out of four matches since 2024.

    In terms of expected goals, Essen leads with 1.69 against Rostock's 1.43, reinforcing their slight advantage. The over 2.5 goals probability sits at 60%, suggesting a likelihood of goals, but the evenly matched possession styles could suppress this potential. Both teams scoring is more probable at 62%, indicating that while goals might occur, a high-scoring affair isn't guaranteed.

    For those seeking value, the away win at odds of 2.9 with Betsafe, Betsson, and Nordicbet provides a small value edge, as the model rates Rostock's chances at 35%, slightly higher than the odds suggest. While it's a marginal value, it's an angle that might appeal to those willing to take a calculated risk on the visitors navigating a tricky away fixture.

    Rot-Weiss EssenRot-Weiss Essen
    Form WDWWW
    League ranking xG #2xGA #3xT #2xP/match #2Points #1
    Key players
    • Noah Phil PeschLWxG 0.33 · xT 0.17
    • Semir TelalovićCAMxG 0.74 · xT 0.19
    • Jose Enrique Rios AlonsoCBxG 0.00 · xT 0.08
    Hansa RostockHansa Rostock
    Form DWDLW
    League ranking xG #5xGA #7xT #14xP/match #4Points #5
    Key players
    • Bernie LennemannRWxG 0.32 · xT 0.13
    • Florian CarstensCBxG 0.17 · xT 0.11
    • Leon DajakuLWxG 0.16 · xT 0.26

    Match prediction: Rot-Weiss EssenHansa Rostock

    Predicted score matrix

    Hansa Rostock
    Rot-Weiss Essen
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–16.0%
    0–24.5%
    0–32.2%
    0–4+1.1%
    1
    1–07.2%
    1–111.0%
    1–27.6%
    1–33.6%
    1–4+1.8%
    2
    2–06.3%
    2–19.0%
    2–26.4%
    2–33.1%
    2–4+1.5%
    3
    3–03.5%
    3–15.1%
    3–23.6%
    3–31.7%
    3–4+0.8%
    4+
    4+–02.2%
    4+–13.1%
    4+–22.2%
    4+–31.1%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.2-26%
    Expected goals
    1,691,43
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.88EV+14%
    Over 2,560%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Rot-Weiss Essen or draw (1X)68%
    • Over 1.5 goals82%

    Combined probability

    56%

    Fair odds

    1.79

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

    02 · 3 legs

    Balanced

    • Double chance Rot-Weiss Essen or draw (1X)68%
    • Over 2.5 goals60%
    • Torben Müsel to score26%

    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 score62%
    • Over 2.5 goals60%
    • Torben Müsel to score26%
    • Florian-Horst Carstens 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 2.540% probability@2.88Paddy PowerEV+14%reference odds
    • Under 0.55% probability@23.00Paddy PowerEV+9%reference odds
    • Under 1.518% probability@6.00Paddy PowerEV+8%reference odds
    Bookmaker1 · Rot-Weiss EssenX2 · Hansa Rostock
    Betsafe2.153.50
    EV+ 1%
    2.90
    Betsson2.153.50
    EV+ 1%
    2.90
    Nordicbet2.153.50
    EV+ 1%
    2.90
    Paddy Power2.203.802.50
    Pinnacle2.123.82
    EV+ 7%
    3.05

    Odds updated 19 Sept, 12:17

    Odds movement

    1-3 %
    46 %41 %

    2.192.12

    X+4 %
    27 %22 %

    3.693.82

    2+4 %
    34 %29 %

    2.923.05

    Pinnacle · 5 recorded price levels · 17/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Rot-Weiss Essen 2Draw 0Hansa Rostock 2
    Goals: 78 (⌀ 3,8)

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

    Key facts

    • Rot-Weiss Essen come into this round on 3 straight wins.
    • Rot-Weiss Essen win 60% of their home matches all-time (42 played).
    xG & xGA per match — 3-game rolling average

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

    Rot-Weiss Essen
    Hansa Rostock
    When goals are scored and conceded 2026
    Rot-Weiss Essen (138)
    Hansa Rostock (1414)
    Pass networks

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

    Rot-Weiss Essen
    Ben Huning: 230 passningar, xT 0.64HuningJanne Sietan: 186 passningar, xT 0.15SietanFranci Clarck Bouebari Kitsamoutse: 169 passningar, xT 1.27KitsamoutseMax Geschwill: 160 passningar, xT 0.52GeschwillJakob Golz: 150 passningar, xT 0.36GolzJannik Hofmann: 131 passningar, xT 0.69HofmannNoah Phil Pesch: 100 passningar, xT 0.54PeschJose Enrique Rios Alonso: 97 passningar, xT 0.18AlonsoMarvin Ayhan Obuz: 71 passningar, xT 1.27ObuzTony Menzel: 64 passningar, xT -0.14MenzelSemir Telalović: 51 passningar, xT 0.64Telalović
    Hansa Rostock
    Florian Carstens: 277 passningar, xT 0.51CarstensLukas Wallner: 206 passningar, xT 0.35WallnerLuca Unbehaun: 179 passningar, xT 0.35UnbehaunKenan Fatkic: 132 passningar, xT 0.4FatkicFlorian Bohnert: 125 passningar, xT 0.29BohnertNiklas Kolle: 116 passningar, xT 0.64KolleMarco Schuster: 105 passningar, xT 0.02SchusterJonas Dirkner: 83 passningar, xT 0.06DirknerLeon Dajaku: 74 passningar, xT 0.89DajakuDavid Kopacz: 72 passningar, xT 0.03KopaczAhmet Gurleyen: 50 passningar, xT 0.06Gurleyen
    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
    Ben Huning: 230 passningar, xT 0.64HuningJanne Sietan: 186 passningar, xT 0.15SietanFranci Clarck Bouebari Kitsamoutse: 169 passningar, xT 1.27KitsamoutseMax Geschwill: 160 passningar, xT 0.52GeschwillJakob Golz: 150 passningar, xT 0.36GolzJannik Hofmann: 131 passningar, xT 0.69HofmannNoah Phil Pesch: 100 passningar, xT 0.54PeschJose Enrique Rios Alonso: 97 passningar, xT 0.18AlonsoMarvin Ayhan Obuz: 71 passningar, xT 1.27ObuzTony Menzel: 64 passningar, xT -0.14MenzelSemir Telalović: 51 passningar, xT 0.64Telalović
    Hansa Rostock
    Florian Carstens: 277 passningar, xT 0.51CarstensLukas Wallner: 206 passningar, xT 0.35WallnerLuca Unbehaun: 179 passningar, xT 0.35UnbehaunKenan Fatkic: 132 passningar, xT 0.4FatkicFlorian Bohnert: 125 passningar, xT 0.29BohnertNiklas Kolle: 116 passningar, xT 0.64KolleMarco Schuster: 105 passningar, xT 0.02SchusterJonas Dirkner: 83 passningar, xT 0.06DirknerLeon Dajaku: 74 passningar, xT 0.89DajakuDavid Kopacz: 72 passningar, xT 0.03KopaczAhmet Gurleyen: 50 passningar, xT 0.06Gurleyen

    The teams in numbers

    PerformanceRot-Weiss EssenHansa Rostock
    Points1611
    xPoints12.510.3
    xG per match2.11.9
    xGA per match1.21.3
    xG within 8s of winning the ball0.320.21
    xGA within 8s of losing the ball0.020.28
    Playing styleRot-Weiss EssenHansa Rostock
    Build-up efficiency0.320.28
    Field tilt0.530.48
    xT per match1.71
    xTA per match0.930.91
    Won balls, offensive half2924
    Pressing intensity0.210.22
    Pressing efficiency0.310.27
    Pressing efficiency, offensive half0.270.2
    Entries into the box per match1612
    Entries into the box against1011
    Pass completion %0.750.73
    Pass completion % under pressure0.680.67
    Passes per match328313
    Passes against per match328387
    Switches of play per match25.421.1
    Long balls per match4538
    Set piecesRot-Weiss EssenHansa Rostock
    xG from free kicks0.010.01
    Corners per match6.25.5
    Corners against per match4.44.5
    xG per corner0.030.08
    xGA per corner against0.050.01
    First touch, offensive corners %0.370.55
    First touch, defensive corners %0.650.56
    OtherRot-Weiss EssenHansa Rostock
    Throw-in control0.850.8
    The goalkeepersJakob Golz (Rot-Weiss Essen)Luca Unbehaun (Hansa Rostock)
    Saves1615
    Save %67%52%
    xG prevented37%30%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Rot-Weiss Essen a 40% win probability. Full 1X2 picture: Rot-Weiss Essen 40%, draw 25%, Hansa Rostock 35%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.