3. Liga21°0,3 mm17 km/h

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    SaarbrückenSaarbrückenPossession control
    24
    Hansa RostockHansa RostockPossession control
    The model's lean: 1 · Saarbrücken (37%)

    SaarbrückenHansa Rostock · 3. Liga

    1 · Saarbrücken 37%X 26%37% Hansa Rostock · 2

    Analysis: SaarbrückenHansa Rostock

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

    Saarbrücken’s steady possession-centric style promises methodical control against an equally possession-focused FC Hansa Rostock. But while both teams favor keeping the ball, it's the expected goal metrics that tilt the balance slightly toward the hosts. Saarbrücken boast an xG of 2.6 per match, significantly higher than Rostock's 1.7, suggesting a sharper cutting edge when chances arise. Despite this, the model forecasts a tight contest with both teams given a 37% chance to clinch the win.

    Rostock’s current unbeaten run in their last five league outings paints the picture of a team tough to break down, yet their offensive punch remains somewhat blunt compared to Saarbrücken. The visitors’ xGA matches that of the home side at 1.1, indicating a shared defensive solidity, but the real battle will likely emerge in how effectively each side can convert their possession into meaningful opportunities.

    Though the head-to-head sample is modest with just four games since 2024, it reveals a finely balanced rivalry with each team having claimed a win and two draws between them. However, these matches shouldn’t overshadow current form and the expected goals data, both of which slightly favor the hosts.

    A 1-1 draw, with an 11% probability, surfaces as the most likely scoreline, aligning with the relatively close xG figures of 1.51 for Saarbrücken and 1.55 for Rostock. The lean toward over 2.5 goals at 59% and both teams scoring at 62% suggests the potential for a few goals, but the evenness in team profiles hints at a game that could easily end in a stalemate.

    For bettors seeking value, the lean towards Saarbrücken in the model, despite identical win probabilities, might be worth exploring. Depending on bookmaker odds, Saarbrücken's win could offer an edge not immediately apparent from headline percentages. Keeping an eye on any favorable odds for a home win might just be the prudent play here, given their marginal superiority in creative metrics.

    SaarbrückenSaarbrücken
    Form WLLWW
    League ranking xG #1xGA #4xT #10xP/match #2Points #2
    Key players
    • Florian PickRWxG 0.26 · xT 0.31
    • Patrick SontheimerCMxG 0.06 · xT 0.07
    • Abdenego N'Lola NankishiFxG 0.51 · xT 0.02
    Hansa RostockHansa Rostock
    Form DWWWD
    League ranking xG #8xGA #3xT #11xP/match #8Points #6
    Key players
    • Andreas VoglsammerFxG 0.32 · xT 0.08
    • Bernie LennemannRWxG 0.40 · xT 0.03
    • Marco SchusterCMxG 0.00 · xT 0.04
    Final score
    24
    The model missed the outcome
    Predicted probabilities: Saarbrücken 37% · Draw 26% · Hansa Rostock 37%

    Match prediction: SaarbrückenHansa Rostock

    Predicted score matrix

    Hansa Rostock
    Saarbrücken
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–16.9%
    0–25.6%
    0–32.9%
    0–4+1.6%
    1
    1–06.7%
    1–111.3%
    1–28.5%
    1–34.4%
    1–4+2.4%
    2
    2–05.3%
    2–18.3%
    2–26.4%
    2–33.3%
    2–4+1.8%
    3
    3–02.7%
    3–14.2%
    3–23.2%
    3–31.7%
    3–4+0.9%
    4+
    4+–01.4%
    4+–12.2%
    4+–21.7%
    4+–30.9%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-07%
    Expected goals
    1,511,55
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.50EV+2%
    Over 2,559%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Saarbrücken or draw (1X)61%
    • Over 1.5 goals81%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Double chance Saarbrücken or draw (1X)61%
    • Over 2.5 goals59%
    • Tim Civeja to score16%

    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 goals59%
    • Benno Johannes Dietze to score21%
    • Patrick Sontheimer to be booked24%

    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+).

    • 1 · Saarbrücken37% probability@2.78PinnacleEV+4%reference odds
    • Under 2.541% probability@2.50Paddy PowerEV+2%reference odds
    • 2 · Hansa Rostock37% probability@2.75Paddy PowerEV+2%reference odds
    Bookmaker1 · SaarbrückenX2 · Hansa Rostock
    Paddy Power2.153.60
    EV+ 2%
    2.75
    Pinnacle
    EV+ 4%
    2.78
    3.252.59

    Odds updated 30 Aug, 08:30

    Odds movement

    1+6 %
    37 %32 %

    2.622.78

    X+5 %
    33 %28 %

    3.103.25

    2-6 %
    38 %33 %

    2.752.59

    Pinnacle · 12 recorded price levels · 23/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Saarbrücken 1Draw 2Hansa Rostock 1
    Goals: 65 (⌀ 2,8)

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

    Key facts

    • FC Hansa Rostock are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Saarbrücken
    Hansa Rostock
    When goals are scored and conceded 2026
    Saarbrücken (62)
    Hansa Rostock (65)
    Pass networks

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

    Saarbrücken
    Siemen Voet: 113 passningar, xT 0.14VoetMladen Cvjetinovic: 92 passningar, xT 0.07CvjetinovicPatrick Sontheimer: 89 passningar, xT 0.15SontheimerNiko Bretschneider: 77 passningar, xT 0.25BretschneiderPhilip Fahrner: 75 passningar, xT 0.15FahrnerMatteo Bignetti: 68 passningar, xT 0BignettiDaniel Gleiber: 58 passningar, xT 0.14GleiberFlorian Pick: 49 passningar, xT 0.6PickChristian Kühlwetter: 27 passningar, xT 0.04KühlwetterAlexander Staff: 23 passningar, xT 0.41StaffKai Brunker: 12 passningar, xT 0.06Brunker
    Hansa Rostock
    Lukas Wallner: 114 passningar, xT 0.33WallnerFlorian Carstens: 110 passningar, xT 0.31CarstensMarco Schuster: 84 passningar, xT 0.06SchusterFlorian Bohnert: 70 passningar, xT 0.12BohnertNiklas Kolle: 57 passningar, xT -0.01KolleLuca Unbehaun: 51 passningar, xT 0.2UnbehaunJonas Dirkner: 41 passningar, xT 0.29DirknerMaximilian Krauss: 26 passningar, xT 0.19KraussBernie Lennemann: 22 passningar, xT 0LennemannMiłosz Brzozowski: 21 passningar, xT 0.21BrzozowskiAndreas Voglsammer: 15 passningar, xT 0.14Voglsammer
    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
    Siemen Voet: 113 passningar, xT 0.14VoetMladen Cvjetinovic: 92 passningar, xT 0.07CvjetinovicPatrick Sontheimer: 89 passningar, xT 0.15SontheimerNiko Bretschneider: 77 passningar, xT 0.25BretschneiderPhilip Fahrner: 75 passningar, xT 0.15FahrnerMatteo Bignetti: 68 passningar, xT 0BignettiDaniel Gleiber: 58 passningar, xT 0.14GleiberFlorian Pick: 49 passningar, xT 0.6PickChristian Kühlwetter: 27 passningar, xT 0.04KühlwetterAlexander Staff: 23 passningar, xT 0.41StaffKai Brunker: 12 passningar, xT 0.06Brunker
    Hansa Rostock
    Lukas Wallner: 114 passningar, xT 0.33WallnerFlorian Carstens: 110 passningar, xT 0.31CarstensMarco Schuster: 84 passningar, xT 0.06SchusterFlorian Bohnert: 70 passningar, xT 0.12BohnertNiklas Kolle: 57 passningar, xT -0.01KolleLuca Unbehaun: 51 passningar, xT 0.2UnbehaunJonas Dirkner: 41 passningar, xT 0.29DirknerMaximilian Krauss: 26 passningar, xT 0.19KraussBernie Lennemann: 22 passningar, xT 0LennemannMiłosz Brzozowski: 21 passningar, xT 0.21BrzozowskiAndreas Voglsammer: 15 passningar, xT 0.14Voglsammer

    The teams in numbers

    PerformanceSaarbrückenHansa Rostock
    Points64
    xPoints4.33.1
    xG per match2.61.7
    xGA per match1.11.1
    xG within 8s of winning the ball0.030.22
    xGA within 8s of losing the ball0.110.06
    Playing styleSaarbrückenHansa Rostock
    Build-up efficiency0.320.28
    Field tilt0.630.65
    xT per match1.21.2
    xTA per match1.50.87
    Won balls, offensive half1630
    Pressing intensity0.190.22
    Pressing efficiency0.260.31
    Pressing efficiency, offensive half0.210.28
    Entries into the box per match1613
    Entries into the box against149
    Pass completion %0.780.73
    Pass completion % under pressure0.70.66
    Passes per match361326
    Passes against per match327272
    Switches of play per match42.422.9
    Long balls per match4748
    Set piecesSaarbrückenHansa Rostock
    xG from free kicks0.240.03
    Corners per match74.5
    Corners against per match3.54
    xG per corner0.070.07
    xGA per corner against0.030
    First touch, offensive corners %0.540.33
    First touch, defensive corners %0.710.75
    OtherSaarbrückenHansa Rostock
    Throw-in control0.840.84
    The goalkeepersMatteo Bignetti (Saarbrücken)Marco Schuster (Hansa Rostock)
    Saves73
    Save %78%100%
    xG prevented71%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Saarbrücken vs Hansa Rostock according to our model?

    The model gives Saarbrücken a 37% win probability. Full 1X2 picture: Saarbrücken 37%, draw 26%, Hansa Rostock 37%.

    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 59% and under at 41%.

    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.