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    SaarbrückenSaarbrückenCounter-attacks & crosses
    vs
    The model's lean: 2 · Rot-Weiss Essen (38%)
    Rot-Weiss EssenRot-Weiss EssenPossession control

    SaarbrückenRot-Weiss Essen · 3. Liga

    1 · Saarbrücken 37%X 25%38% Rot-Weiss Essen · 2
    SaarbrückenSaarbrücken
    Form DWWLL
    League ranking xG #5xGA #12xT #5xP/match #6Points #15
    Key players
    • Florian PickFxG 0.29 · xT 0.27
    • Kai BrunkerFxG 0.5 · xT -0.02
    • Niko BretschneiderLWBxG 0.05 · xT 0.19
    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

    Match prediction: SaarbrückenRot-Weiss Essen

    Predicted score matrix

    Rot-Weiss Essen
    Saarbrücken
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–16.0%
    0–25.3%
    0–33.0%
    0–4+1.9%
    1
    1–05.7%
    1–110.4%
    1–28.5%
    1–34.8%
    1–4+3.0%
    2
    2–04.8%
    2–18.1%
    2–26.8%
    2–33.8%
    2–4+2.4%
    3
    3–02.5%
    3–14.3%
    3–23.6%
    3–32.0%
    3–4+1.3%
    4+
    4+–01.4%
    4+–12.4%
    4+–22.1%
    4+–31.2%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.2-27%
    5. 5.0-16%
    Expected goals
    1,601,69
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    Over 2,564%

    Odds & value

    Bookmaker1 · SaarbrückenX2 · Rot-Weiss Essen
    Pinnacle2.683.712.37

    Odds updated 4 Aug, 09:04

    Analysis: SaarbrückenRot-Weiss Essen

    Sofia Andersson · · How the predictions work

    Thirteen matches on the trot with a goal for Rot-Weiss Essen is not a streak to be underestimated. This level of consistent firepower frames their visit to Saarbrucken with a palpable tension. Despite Saarbrucken's superior head-to-head record since 2024, winning three of the four encounters, the numbers suggest a more complex narrative this time around. Expect the visitors to maintain their scoring form, especially with an expected goals tally slightly edging Saarbrucken's at 1.69 to 1.60.

    Saarbrucken's counter-attacking prowess, coupled with their ability to exploit crosses, will test Rot-Weiss Essen’s possession-oriented approach. Yet, the model probabilities tilt ever so slightly towards Rot-Weiss Essen with a 38% chance of victory compared to Saarbrucken's 37%. It's a razor-thin margin, but one worth considering given Rot-Weiss Essen's current league position and scoring form.

    Rot-Weiss Essen have accumulated a substantial 70 points to Saarbrucken’s 44, and their slight edge in xG per match at 1.8 versus 1.7 underscores their attacking efficiency. However, Saarbrucken’s relative defensive resilience, as illustrated by their xGA per match of 1.6 compared to Rot-Weiss Essen’s 1.8, suggests they won't go down easily. Both teams are primed to find the back of the net, with a 65% chance of both scoring and a 64% likelihood of over 2.5 goals.

    A 1-1 draw emerges as the most probable scoreline, but the 1-2 to Rot-Weiss Essen follows closely. Given the model's lean and Rot-Weiss Essen's form, a 2-1 away victory is certainly within the realm of possibility. The over 2.5 goals angle is enticing, with BetVictor offering odds at 1.80, providing potential value for those inclined to back a goal-fest.

    Statistics

    Head-to-head

    4 matches
    Saarbrücken 3Draw 0Rot-Weiss Essen 1
    Goals: 84 (⌀ 3)

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

    Key facts

    • Rot-Weiss Essen have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Saarbrücken
    Rot-Weiss Essen
    When goals are scored and conceded 2025
    Saarbrücken (5157)
    Rot-Weiss Essen (7866)
    Pass networks

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

    Saarbrücken
    Joel Bichsel: 298 passningar, xT 0.45BichselPatrick Sontheimer: 252 passningar, xT 1.1SontheimerPhilip Fahrner: 183 passningar, xT 0.47FahrnerPhillip Menzel: 160 passningar, xT -0.68MenzelTim Civeja: 128 passningar, xT 0.23CivejaFlorian Pick: 106 passningar, xT 0.4PickSebastian Vasiliadis: 105 passningar, xT 0.56VasiliadisRobin Bormuth: 104 passningar, xT 0.36BormuthLasse Wilhelm: 102 passningar, xT 0.15WilhelmNiko Bretschneider: 100 passningar, xT 0.41BretschneiderMaurice Multhaup: 88 passningar, xT 0.13Multhaup
    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
    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.

    Saarbrücken
    Joel Bichsel: 298 passningar, xT 0.45BichselPatrick Sontheimer: 252 passningar, xT 1.1SontheimerPhilip Fahrner: 183 passningar, xT 0.47FahrnerPhillip Menzel: 160 passningar, xT -0.68MenzelTim Civeja: 128 passningar, xT 0.23CivejaFlorian Pick: 106 passningar, xT 0.4PickSebastian Vasiliadis: 105 passningar, xT 0.56VasiliadisRobin Bormuth: 104 passningar, xT 0.36BormuthLasse Wilhelm: 102 passningar, xT 0.15WilhelmNiko Bretschneider: 100 passningar, xT 0.41BretschneiderMaurice Multhaup: 88 passningar, xT 0.13Multhaup
    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

    The teams in numbers

    PerformanceSaarbrückenRot-Weiss Essen
    Points4470
    xPoints55.854.5
    xG per match1.71.8
    xGA per match1.61.8
    xG within 8s of winning the ball0.210.2
    xGA within 8s of losing the ball0.240.23
    Playing styleSaarbrückenRot-Weiss Essen
    Build-up efficiency0.320.32
    Field tilt0.520.5
    xT per match1.11.1
    xTA per match1.11.1
    Won balls, offensive half2726
    Pressing intensity0.220.22
    Pressing efficiency0.270.31
    Pressing efficiency, offensive half0.320.36
    Entries into the box per match1414
    Entries into the box against1212
    Pass completion %0.750.73
    Pass completion % under pressure0.690.7
    Passes per match353320
    Passes against per match371327
    Switches of play per match25.618.5
    Long balls per match3529
    Set piecesSaarbrückenRot-Weiss Essen
    xG from free kicks0.110.08
    Corners per match7.26
    Corners against per match4.75.7
    xG per corner0.060.08
    xGA per corner against0.060.05
    First touch, offensive corners %0.420.34
    First touch, defensive corners %0.610.6
    OtherSaarbrückenRot-Weiss Essen
    Throw-in control0.680.76
    The goalkeepersPhillip Menzel (Saarbrücken)Jakob Golz (Rot-Weiss Essen)
    Saves12490
    Save %69%65%
    xG prevented52%34%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives Rot-Weiss Essen a 38% win probability. Full 1X2 picture: Saarbrücken 37%, draw 25%, Rot-Weiss Essen 38%.

    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 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.