Swedish Ettan16°2,9 mm31 km/h

    Läs på svenska
    OlympicOlympicPossession & high press
    vs
    RosengårdRosengårdPossession & high press
    The model's lean: 1 · Olympic (42%)

    Olympic vs Rosengård · Swedish Ettan

    1 · Olympic 42%X 22%36% Rosengård · 2

    Analysis: OlympicRosengård

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Since 2023, Olympic has faced Rosengård just once, with Olympic losing that meeting. However, with such a small sample size, this result shouldn't overshadow current form and the underlying numbers. Olympic's tendency to control possession and apply a high press mirrors Rosengård's style. This could lead to an intriguing tactical battle where both sides are keen to dominate the ball and press aggressively, potentially causing turnovers and transition opportunities.

    Olympic's recent form sees them slightly underperforming their expected points, while Rosengård has been on a more stable trajectory. Rosengård holds a solid edge in traditional points, sitting at 34 compared to Olympic's 26, but the hosts boast a higher xG per match, hinting at a potential to surprise. Both teams have shown an ability to convert chances, and given the expected goals tally—1.74 for Olympic against 1.56 for Rosengård—a tight contest is likely.

    The model suggests a slight preference for Olympic, with a 42% win probability. However, the most likely scorelines reflect a close affair, with 1-1 at 10% and 2-1 at 9%. The expectation for goals is strong, with a 64% chance for over 2.5 goals and a 65% probability for both teams to score. The predicted wet conditions may suppress goal-scoring slightly, but it's factored into the model's numbers, so the inclination towards goals remains.

    From a betting perspective, there's clear value in backing Olympic at odds of 3.05 with Betsafe, Betsson, and Nordicbet. Given the model's rating of their chances at 42%, these odds present a 28% edge. While not a guarantee, this represents a solid betting angle for those looking to capitalize on potentially undervalued probabilities.

    OlympicOlympic
    Form DLLWL
    League ranking xG #7xGA #23xT #10xP/match #16Points #21
    Key players
    • Albin SundgrenLWxG 0.08 · xT 0.30
    • Chibueze Blessing EjimoleFxG 0.46 · xT 0.12
    • Osama KhattabFxG 0.43 · xT 0.27
    RosengårdRosengård
    Form DDWWL
    League ranking xG #9xGA #5xT #12xP/match #4Points #12
    Key players
    • Ludvig CarliusFxG 0.34 · xT 0.34
    • Emmanuel OnotuLWxG 0.19 · xT 0.17
    • Joel Voelkerling PerssonFxG 0.46 · xT 0.06

    Match prediction: OlympicRosengård

    Predicted score matrix

    Rosengård
    Olympic
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–15.4%
    0–24.5%
    0–32.3%
    0–4+1.3%
    1
    1–06.1%
    1–110.3%
    1–27.8%
    1–34.0%
    1–4+2.2%
    2
    2–05.6%
    2–18.7%
    2–26.8%
    2–33.5%
    2–4+1.9%
    3
    3–03.3%
    3–15.1%
    3–23.9%
    3–32.0%
    3–4+1.1%
    4+
    4+–02.1%
    4+–13.3%
    4+–22.6%
    4+–31.3%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,741,56
    Both teams to score
    65%

    Over/under goals

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

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Olympic or draw (1X)66%
    • Over 1.5 goals84%

    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 Olympic or draw (1X)66%
    • Over 2.5 goals64%
    • Alexander Robért to score17%

    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 score65%
    • Over 2.5 goals64%
    • Joel Voelkerling Persson to score27%
    • August Karlin to be booked21%

    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 · Olympic42% probability@3.05BetsafeEV+28%reference odds
    • 1 · Olympic42% probability@3.05BetssonEV+28%reference odds
    • 1 · Olympic42% probability@3.05NordicbetEV+28%reference odds
    Bookmaker1 · OlympicX2 · Rosengård
    Betsafe
    EV+ 28%
    3.05
    3.602.00
    Betsson
    EV+ 28%
    3.05
    3.602.00
    Nordicbet
    EV+ 28%
    3.05
    3.602.00

    Odds updated 15 Sept, 11:37

    Statistics

    Head-to-head

    1 matches
    Olympic 0Draw 0Rosengård 1
    Goals: 12 (⌀ 3)

    Head-to-head based on Ettan data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Olympic
    Rosengård
    When goals are scored and conceded 2026
    Olympic (3843)
    Rosengård (3528)
    Pass networks

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

    Olympic
    Francis Dovi: 284 passningar, xT 0.43DoviAlbin Sundgren: 260 passningar, xT 1.15SundgrenAugust Karlin: 205 passningar, xT 0.45KarlinAlexander Robért: 187 passningar, xT 0.76RobértEric Fidelis Ologe: 149 passningar, xT -0.01OlogeJacob Stern: 144 passningar, xT 0.25SternOsama Khattab: 143 passningar, xT 2.11KhattabMartins Egbe: 119 passningar, xT 0.28EgbeCasper Nilsson: 118 passningar, xT 0.92NilssonMattias Andersson: 95 passningar, xT 0.12AnderssonLiam Björninger: 58 passningar, xT 0.41Björninger
    Rosengård
    Kalle Larsson: 257 passningar, xT 0.44LarssonGraham Nii Ankamah Ankamafio: 244 passningar, xT 0.28AnkamafioWilliam Lindberg: 200 passningar, xT 0.7LindbergFrederik Lesley Schmidt Petersen: 186 passningar, xT 0.31PetersenOtto Håkansson: 125 passningar, xT 0.15HåkanssonMattias Andersson: 115 passningar, xT 0.69AnderssonKevin Pasalic: 88 passningar, xT 0.29PasalicNiklas Söderberg: 82 passningar, xT 0.59SöderbergLudvig Carlius: 70 passningar, xT 0.5CarliusJens Lynard: 68 passningar, xT 0.44LynardJoel Voelkerling Persson: 54 passningar, xT 0.16Persson
    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.

    Olympic
    Francis Dovi: 284 passningar, xT 0.43DoviAlbin Sundgren: 260 passningar, xT 1.15SundgrenAugust Karlin: 205 passningar, xT 0.45KarlinAlexander Robért: 187 passningar, xT 0.76RobértEric Fidelis Ologe: 149 passningar, xT -0.01OlogeJacob Stern: 144 passningar, xT 0.25SternOsama Khattab: 143 passningar, xT 2.11KhattabMartins Egbe: 119 passningar, xT 0.28EgbeCasper Nilsson: 118 passningar, xT 0.92NilssonMattias Andersson: 95 passningar, xT 0.12AnderssonLiam Björninger: 58 passningar, xT 0.41Björninger
    Rosengård
    Kalle Larsson: 257 passningar, xT 0.44LarssonGraham Nii Ankamah Ankamafio: 244 passningar, xT 0.28AnkamafioWilliam Lindberg: 200 passningar, xT 0.7LindbergFrederik Lesley Schmidt Petersen: 186 passningar, xT 0.31PetersenOtto Håkansson: 125 passningar, xT 0.15HåkanssonMattias Andersson: 115 passningar, xT 0.69AnderssonKevin Pasalic: 88 passningar, xT 0.29PasalicNiklas Söderberg: 82 passningar, xT 0.59SöderbergLudvig Carlius: 70 passningar, xT 0.5CarliusJens Lynard: 68 passningar, xT 0.44LynardJoel Voelkerling Persson: 54 passningar, xT 0.16Persson

    The teams in numbers

    PerformanceOlympicRosengård
    Points2634
    xPoints28.833.9
    xG per match1.61.5
    xGA per match1.51
    xG within 8s of winning the ball0.20.38
    xGA within 8s of losing the ball0.350.21
    Playing styleOlympicRosengård
    Build-up efficiency0.350.39
    Field tilt0.50.6
    xT per match1.51.5
    xTA per match1.51.2
    Won balls, offensive half2333
    Pressing intensity0.470.49
    Pressing efficiency0.260.28
    Pressing efficiency, offensive half0.280.28
    Entries into the box per match1417
    Entries into the box against1511
    Pass completion %0.830.78
    Pass completion % under pressure0.770.73
    Passes per match408381
    Passes against per match342358
    Switches of play per match15.716.6
    Long balls per match3131
    Set piecesOlympicRosengård
    xG from free kicks0.170.2
    Corners per match5.55.9
    Corners against per match5.63.4
    xG per corner0.020.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.510.44
    First touch, defensive corners %0.630.65
    OtherOlympicRosengård
    Throw-in control0.650.54
    The goalkeepersJoakim Persson (Olympic)Alexander Cederfelt (Rosengård)
    Saves5656
    Save %58%71%
    xG prevented40%70%
    Claims93 (94%)105 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Olympic vs Rosengård according to our model?

    The model gives Olympic a 42% win probability. Full 1X2 picture: Olympic 42%, draw 22%, Rosengård 36%.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.