Swedish Ettan

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    RosengårdRosengårdPossession & high press
    42
    LaholmLaholmPossession control
    The model's lean: 1 · Rosengård (62%)

    RosengårdLaholm · Swedish Ettan

    1 · Rosengård 62%X 20%18% Laholm · 2

    Analysis: RosengårdLaholm

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Rosengård's recent form is hard to ignore. Unbeaten in their last six league matches, they present a formidable challenge for Laholm. The home side's strength lies in their high-pressing, possession-based strategy, which has been pivotal in accumulating 31 points this season. This tactical approach might well unsettle Laholm, whose own style leans towards possession control but lacks the same offensive punch.

    The one previous meeting between these sides saw Rosengård emerge victorious, but with a single encounter, the head-to-head sample is too small to heavily influence predictions. Instead, it's Rosengård's consistent performance metrics that paint a clearer picture. With an expected goal tally of 2.15 against their opponents' 1.01, the hosts are statistically poised to find the net more than once.

    Laholm, trailing with only 18 points this season, will need to tighten their defense to stand a chance. Their expected goals against (xGA) stands at 1.5 per match, highlighting vulnerabilities Rosengård could exploit. The visitors' challenge will be to convert their possession into meaningful opportunities—something they've struggled with against stronger sides.

    The model forecasts a 62% chance of a Rosengård win, with the most probable scorelines being a 2-1 or 2-0 victory for the hosts. This aligns with the 61% probability of over 2.5 goals, suggesting a game where Rosengård's offensive power shines. Both teams to score is rated at 57%, indicating Laholm might find the back of the net, albeit likely in a losing cause.

    For punters seeking value, Bet365 offers odds of 1.60 for a Rosengård win, reflecting the expected dominance of the home side. Although not a certainty, it's a reasonable play given the hosts' superior form and tactical edge. The data tilts overwhelmingly towards a Rosengård victory, making their odds particularly appealing.

    RosengårdRosengård
    Form WDDDW
    League ranking xG #8xGA #4xT #9xP/match #3Points #10
    Key players
    • Emmanuel OnotuLWxG 0.19 · xT 0.17
    • Joel Voelkerling PerssonFxG 0.46 · xT 0.05
    • Ludvig CarliusFxG 0.37 · xT 0.37
    LaholmLaholm
    Form LWDLD
    League ranking xG #19xGA #21xT #27xP/match #20Points #27
    Key players
    • Philip ComnellFxG 0.35 · xT 0.08
    • Viggo RolfssonFxG 0.15 · xT 0.12
    • Elis WijkFxG 0.50 · xT -0.02
    Final score
    42
    The model called the outcome
    Predicted probabilities: Rosengård 62% · Draw 20% · Laholm 18%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - FC RosengårdBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,34fair 4,71-8 %
    Hit
    Matchresultat - Laholms FKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 13,62fair 21,30-36 %
    Miss

    Match prediction: RosengårdLaholm

    Predicted score matrix

    Laholm
    Rosengård
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–14.0%
    0–22.2%
    0–30.7%
    0–4+0.2%
    1
    1–08.8%
    1–19.5%
    1–24.7%
    1–31.6%
    1–4+0.5%
    2
    2–09.8%
    2–19.9%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–07.0%
    3–17.1%
    3–23.6%
    3–31.2%
    3–4+0.4%
    4+
    4+–06.2%
    4+–16.3%
    4+–23.2%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-010%
    3. 3.1-19%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    2,151,01
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.28
    Over 2,561%
    @1.55

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rosengård to win62%
    • Over 1.5 goals83%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Rosengård to win62%
    • Over 2.5 goals61%
    • Joel Voelkerling Persson to score37%

    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 score57%
    • Over 2.5 goals61%
    • Joel Voelkerling Persson to score37%
    • Lucas Ragnarsson to be booked22%

    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

    Bookmaker1 · RosengårdX2 · Laholm
    Betsafe1.554.054.80
    Betsson1.554.054.80
    Nordicbet1.554.054.80

    Odds updated 4 Sept, 16:37

    Odds movement

    Market signal

    The market has moved clearly towards an Laholm win since 30 August — the odds have shortened from 6.20 to 4.80 (−23%).

    1+10 %
    67 %57 %

    1.411.55

    X-6 %
    26 %16 %

    4.304.05

    2-23 %
    22 %12 %

    6.204.80

    Betsson · 11 recorded price levels · 30/08/2026 → 04/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    Rosengård 1Draw 0Laholm 0
    Goals: 31 (⌀ 4)

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

    Key facts

    • Rosengård 1917 are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Rosengård
    Laholm
    When goals are scored and conceded 2026
    Rosengård (3124)
    Laholm (2534)
    Pass networks

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

    Rosengård
    Graham Nii Ankamah Ankamafio: 266 passningar, xT 0.31AnkamafioKalle Larsson: 228 passningar, xT 0.31LarssonJens Lynard: 164 passningar, xT 0.62LynardFrederik Lesley Schmidt Petersen: 163 passningar, xT 0.33PetersenWilliam Lindberg: 140 passningar, xT 0.44LindbergMattias Andersson: 121 passningar, xT 0.93AnderssonOtto Håkansson: 80 passningar, xT 0.02HåkanssonMatias Ritari: 80 passningar, xT 0.14RitariRasmus Bonde: 79 passningar, xT 0.47BondeHumphrey Omondi Aroko: 74 passningar, xT 0.64ArokoArgjend Malaj: 62 passningar, xT 0.04Malaj
    Laholm
    Samuel Svensson: 187 passningar, xT 0.88SvenssonNils Hedström: 180 passningar, xT 0.86HedströmJonatan Falk: 165 passningar, xT 0.17FalkOlle Johansson: 160 passningar, xT 0.32JohanssonGentrit Ibishi: 130 passningar, xT 0.15IbishiLucas Ragnarsson: 129 passningar, xT -0.06RagnarssonFilip Andersson: 112 passningar, xT 0.24AnderssonEdmond Berisha: 94 passningar, xT 0.26BerishaMax Johnsson: 91 passningar, xT 0.2JohnssonMåns Andersson: 73 passningar, xT 0.56AnderssonPhilip Comnell: 67 passningar, xT 0.13Comnell
    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.

    Rosengård
    Graham Nii Ankamah Ankamafio: 266 passningar, xT 0.31AnkamafioKalle Larsson: 228 passningar, xT 0.31LarssonJens Lynard: 164 passningar, xT 0.62LynardFrederik Lesley Schmidt Petersen: 163 passningar, xT 0.33PetersenWilliam Lindberg: 140 passningar, xT 0.44LindbergMattias Andersson: 121 passningar, xT 0.93AnderssonOtto Håkansson: 80 passningar, xT 0.02HåkanssonMatias Ritari: 80 passningar, xT 0.14RitariRasmus Bonde: 79 passningar, xT 0.47BondeHumphrey Omondi Aroko: 74 passningar, xT 0.64ArokoArgjend Malaj: 62 passningar, xT 0.04Malaj
    Laholm
    Samuel Svensson: 187 passningar, xT 0.88SvenssonNils Hedström: 180 passningar, xT 0.86HedströmJonatan Falk: 165 passningar, xT 0.17FalkOlle Johansson: 160 passningar, xT 0.32JohanssonGentrit Ibishi: 130 passningar, xT 0.15IbishiLucas Ragnarsson: 129 passningar, xT -0.06RagnarssonFilip Andersson: 112 passningar, xT 0.24AnderssonEdmond Berisha: 94 passningar, xT 0.26BerishaMax Johnsson: 91 passningar, xT 0.2JohnssonMåns Andersson: 73 passningar, xT 0.56AnderssonPhilip Comnell: 67 passningar, xT 0.13Comnell

    The teams in numbers

    PerformanceRosengårdLaholm
    Points3118
    xPoints31.524.1
    xG per match1.61.3
    xGA per match0.991.5
    xG within 8s of winning the ball0.370.29
    xGA within 8s of losing the ball0.180.45
    Playing styleRosengårdLaholm
    Build-up efficiency0.40.38
    Field tilt0.610.41
    xT per match1.51.3
    xTA per match1.21.4
    Won balls, offensive half3225
    Pressing intensity0.480.45
    Pressing efficiency0.280.26
    Pressing efficiency, offensive half0.280.26
    Entries into the box per match1712
    Entries into the box against1113
    Pass completion %0.780.78
    Pass completion % under pressure0.730.7
    Passes per match382348
    Passes against per match361389
    Switches of play per match16.416.3
    Long balls per match3130
    Set piecesRosengårdLaholm
    xG from free kicks0.20.1
    Corners per match5.84.1
    Corners against per match3.44.6
    xG per corner0.030.03
    xGA per corner against0.020.05
    First touch, offensive corners %0.430.37
    First touch, defensive corners %0.670.55
    OtherRosengårdLaholm
    Throw-in control0.550.52
    The goalkeepersAlexander Cederfelt (Rosengård)Max Johnsson (Laholm)
    Saves5652
    Save %71%61%
    xG prevented70%37%
    Claims105 (91%)135 (93%)

    Frequently asked questions

    Who wins Rosengård vs Laholm according to our model?

    The model gives Rosengård a 62% win probability. Full 1X2 picture: Rosengård 62%, draw 20%, Laholm 18%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.