Swedish Ettan14°1,5 mm15 km/h

    Läs på svenska
    ÄngelholmÄngelholmLow block & direct
    vs
    RosengårdRosengårdPossession & high press
    The model's lean: 2 · Rosengård (48%)

    Ängelholm vs Rosengård · Swedish Ettan

    1 · Ängelholm 29%X 23%48% Rosengård · 2

    Bet on this match

    BetssonFå ett 250 kr gratisspel + 50 freespins på Pirots 4!Claim the bonus at Betsson
    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Ängelholm – Rosengård

    Anna Karlsson · · A data-driven preview · How the predictions work

    The text contains an unsupported claim: no betting odds (e.g., Bet365's 2.10) are provided in the FACTS.

    CORRECTED TEXT:

    Rosengård's high press and possession-based approach are likely to be the decisive factors as they head into their matchup against Ängelholm. With 35 points on the table compared to Ängelholm's 18, the visitors have carved out a clear edge this season. It's no wonder the model gives Rosengård a 48% chance of victory, a strong endorsement for their current form and tactical setup.

    The expected goals (xG) metrics tell a similar story of Rosengård's superiority. They average 1.5 xG per match, while the hosts trail slightly with 1.2. Defensively, the gap is even more pronounced: Rosengård's xGA is a mere 1.0 compared to Ängelholm's 1.5. This contrast in defensive solidity could be crucial, especially given Ängelholm's tendency to rely on a more direct playing style. Their low defensive line might struggle to withstand the visitors' relentless attacking pressure.

    Rosengård's ability to maintain possession and press high up the pitch might suffocate an Ängelholm side that prefers directness over intricate build-up play. The single head-to-head encounter this year, a win for Ängelholm, is too small a sample to overturn the season-long trends. Rosengård's overall consistency suggests that they are better positioned to adapt and exploit their opponents' weaknesses this time around.

    The numbers lean towards a scoreline in Rosengård's favor, with 1-2 being a plausible outcome. The odds suggest an open game, given a 62% chance of over 2.5 goals and a 63% likelihood that both teams will score. However, the edge Rosengård holds in expected goals and points paints a picture of a match that might tilt towards the visitors, especially in crucial moments.

    Given their superior xPoints, a high-pressing strategy tailored to outmaneuver Ängelholm's defense could see them emerge victorious, reinforcing the model's lean towards a Rosengård triumph.

    ÄngelholmÄngelholm
    Form LLLLD
    League ranking xG #24xGA #20xT #20xP/match #19Points #28
    Key players
    • Vilgot CarlssonFxG 0.29 · xT 0.10
    • Oliver Stojanovic FredinFxG 0.15 · xT 0.53
    • Anton NilssonLWxG 0.23 · xT 0.10
    RosengårdRosengård
    Form WWLLD
    League ranking xG #7xGA #5xT #9xP/match #4Points #13
    Key players
    • Emmanuel OnotuLWxG 0.19 · xT 0.16
    • Joel Voelkerling PerssonFxG 0.50 · xT 0.06
    • Ludvig CarliusFxG 0.30 · xT 0.31

    Match prediction: Ängelholm – Rosengård

    Predicted score matrix

    Rosengård →
    Ängelholm →
    0
    1
    2
    3
    4+
    0
    0–04.4%
    0–17.2%
    0–26.8%
    0–34.1%
    0–4+2.8%
    1
    1–05.4%
    1–110.6%
    1–29.3%
    1–35.6%
    1–4+3.8%
    2
    2–03.9%
    2–17.1%
    2–26.4%
    2–33.9%
    2–4+2.6%
    3
    3–01.8%
    3–13.2%
    3–22.9%
    3–31.8%
    3–4+1.2%
    4+
    4+–00.8%
    4+–11.5%
    4+–21.4%
    4+–30.8%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-17%
    4. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,38–1,81
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    –
    Over 2,562%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Rosengård to win48%
    • Over 1.5 goals83%

    Combined probability

    40%

    Fair odds

    2.49

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

    02 · 3 legs

    Balanced

    • Rosengård to win48%
    • Over 2.5 goals62%
    • Ludvig Carlius 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 score63%
    • Over 2.5 goals62%
    • Marcly Tshikupe to score32%
    • Mohammad Ahmadi to be booked17%

    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 · ÄngelholmX2 · Rosengård
    Betsafe3.103.502.00
    Betsson3.103.502.00
    Nordicbet3.103.502.00

    Odds updated 28 Sept, 13:36

    Statistics

    Head-to-head

    1 matches
    Ängelholm 1Draw 0Rosengård 0
    Goals: 2–1 (⌀ 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).

    Ängelholm
    Rosengård
    When goals are scored and conceded — 2026
    Ängelholm (27–43)
    Rosengård (39–33)
    Pass networks

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

    Ängelholm
    Eric Vedholm: 271 passningar, xT 0.75VedholmMohammad Ahmadi: 247 passningar, xT 0.46AhmadiOliver Stojanovic Fredin: 172 passningar, xT 2.29FredinBenjamin Tannus: 160 passningar, xT 0.35TannusArvid Wiklund: 160 passningar, xT 0.61WiklundVilgot Carlsson: 124 passningar, xT 0.34CarlssonJacob Svensson: 107 passningar, xT 0.34SvenssonAnton Nilsson: 89 passningar, xT -0.04NilssonRobin Streifert: 67 passningar, xT 0.19StreifertWilliam Sonntag: 62 passningar, xT 0.1SonntagMelvin Ahlqvist: 56 passningar, xT 0.22Ahlqvist
    Rosengård
    Graham Nii Ankamah Ankamafio: 267 passningar, xT 0.33AnkamafioFrederik Lesley Schmidt Petersen: 207 passningar, xT 0.16PetersenKalle Larsson: 191 passningar, xT 0.36LarssonWilliam Lindberg: 168 passningar, xT 0.61LindbergNiklas Söderberg: 149 passningar, xT 1.09SöderbergKevin Pasalic: 142 passningar, xT 0.53PasalicOtto Håkansson: 139 passningar, xT 0.23HåkanssonLudvig Carlius: 107 passningar, xT 0.41CarliusRasmus Bonde: 89 passningar, xT 0.71BondeMattias Andersson: 78 passningar, xT 0.1AnderssonKelvin Emmanuel Igbonekwu: 62 passningar, xT 0.37Igbonekwu
    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.

    Ängelholm
    Eric Vedholm: 271 passningar, xT 0.75VedholmMohammad Ahmadi: 247 passningar, xT 0.46AhmadiOliver Stojanovic Fredin: 172 passningar, xT 2.29FredinBenjamin Tannus: 160 passningar, xT 0.35TannusArvid Wiklund: 160 passningar, xT 0.61WiklundVilgot Carlsson: 124 passningar, xT 0.34CarlssonJacob Svensson: 107 passningar, xT 0.34SvenssonAnton Nilsson: 89 passningar, xT -0.04NilssonRobin Streifert: 67 passningar, xT 0.19StreifertWilliam Sonntag: 62 passningar, xT 0.1SonntagMelvin Ahlqvist: 56 passningar, xT 0.22Ahlqvist
    Rosengård
    Graham Nii Ankamah Ankamafio: 267 passningar, xT 0.33AnkamafioFrederik Lesley Schmidt Petersen: 207 passningar, xT 0.16PetersenKalle Larsson: 191 passningar, xT 0.36LarssonWilliam Lindberg: 168 passningar, xT 0.61LindbergNiklas Söderberg: 149 passningar, xT 1.09SöderbergKevin Pasalic: 142 passningar, xT 0.53PasalicOtto Håkansson: 139 passningar, xT 0.23HåkanssonLudvig Carlius: 107 passningar, xT 0.41CarliusRasmus Bonde: 89 passningar, xT 0.71BondeMattias Andersson: 78 passningar, xT 0.1AnderssonKelvin Emmanuel Igbonekwu: 62 passningar, xT 0.37Igbonekwu

    The teams in numbers

    PerformanceÄngelholmRosengård
    Points1835
    xPoints30.836.5
    xG per match1.21.5
    xGA per match1.51
    xG within 8s of winning the ball0.190.36
    xGA within 8s of losing the ball0.230.18
    Playing styleÄngelholmRosengård
    Build-up efficiency0.350.39
    Field tilt0.480.61
    xT per match1.31.5
    xTA per match1.51.2
    Won balls, offensive half2933
    Pressing intensity0.480.5
    Pressing efficiency0.270.28
    Pressing efficiency, offensive half0.260.28
    Entries into the box per match1117
    Entries into the box against1511
    Pass completion %0.760.79
    Pass completion % under pressure0.710.74
    Passes per match324388
    Passes against per match387354
    Switches of play per match17.616.2
    Long balls per match3030
    Set piecesÄngelholmRosengård
    xG from free kicks0.140.22
    Corners per match4.36
    Corners against per match4.33.5
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.220.43
    First touch, defensive corners %0.570.65
    OtherÄngelholmRosengård
    Throw-in control0.510.55
    The goalkeepersRobin Streifert (Ängelholm)Alexander Cederfelt (Rosengård)
    Saves6656
    Save %64%71%
    xG prevented38%72%
    Claims157 (97%)105 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ängelholm vs Rosengård according to our model?

    The model gives Rosengård a 48% win probability. Full 1X2 picture: Ängelholm 29%, draw 23%, Rosengård 48%.

    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 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.