Swedish Ettan15°6,3 mm42 km/h

    Läs på svenska
    OlympicOlympicPossession & high press
    50
    ÄngelholmÄngelholmLow block & direct
    The model's lean: 1 · Olympic (46%)

    OlympicÄngelholm · Swedish Ettan

    1 · Olympic 46%X 26%28% Ängelholm · 2

    Analysis: OlympicÄngelholm

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

    TEXT: The head-to-head record between Olympic and Ängelholm reveals an interesting equilibrium: two wins apiece and three draws in seven matchups since 2023. Such balance, however, pales next to the more pressing narrative of current form. The visiting side is on a concerning four-match losing streak, a critical factor that should weigh heavily in any analysis. In contrast, Olympic has not only collected more points in the league but also holds the edge in expected goals per match, suggesting greater attacking prowess.

    Olympic's style, characterized by possession and a high press, is likely to test Ängelholm's defensive resilience, especially given the latter's tendency to sit back and play direct football. With an expected goals tally of 1.90 for the hosts against the visitors' 1.36, the data suggests that Olympic will create more opportunities to exploit the gaps in Ängelholm's setup. Contributing to this narrative is the lean of market models, which give the hosts a 46% chance of winning compared to the visitors' 28%.

    Despite the expected rain, which could suppress scoring, the metrics do not shy away from goals. The over 2.5 goals market leans heavily at 63%, and there's an identical probability for both teams to find the net. These figures paint a picture of a match that, while potentially messy under rainy conditions, promises action, particularly with Olympic's proactive approach facing a vulnerable visitor in poor form.

    Olympic's offensive edge, Ängelholm's losing streak, and tactical mismatches strongly point toward a narrow home victory, with 2-1 among the most likely scorelines. The overall data set, including favorable expected-goals and points comparisons for the hosts, supports Olympic as the lean in this matchup, even as Ängelholm's underlying xPoints figure hints they may be somewhat unlucky given their current league position.

    OlympicOlympic
    Form WLDLL
    League ranking xG #13xGA #26xT #12xP/match #19Points #21
    Key players
    • Albin SundgrenLWxG 0.06 · xT 0.30
    • Chibueze Blessing EjimoleFxG 0.45 · xT 0.05
    • Osama KhattabLWxG 0.45 · xT 0.26
    ÄngelholmÄngelholm
    Form DLLLL
    League ranking xG #28xGA #10xT #24xP/match #16Points #28
    Key players
    • Vilgot CarlssonFxG 0.29 · xT 0.09
    • Oliver Stojanovic FredinFxG 0.15 · xT 0.51
    • Anton NilssonRWxG 0.25 · xT 0.12
    Final score
    50
    The model called the outcome
    Predicted probabilities: Olympic 46% · Draw 26% · Ängelholm 28%

    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 - BK OlympicBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,15fair 5,32-3 %
    Miss
    Matchresultat - Ängelholms FFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,17fair 10,52-32 %
    Miss

    Match prediction: OlympicÄngelholm

    Predicted score matrix

    Ängelholm
    Olympic
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–14.9%
    0–23.5%
    0–31.6%
    0–4+0.7%
    1
    1–07.0%
    1–110.2%
    1–26.7%
    1–33.0%
    1–4+1.4%
    2
    2–06.9%
    2–19.4%
    2–26.4%
    2–32.9%
    2–4+1.3%
    3
    3–04.4%
    3–16.0%
    3–24.1%
    3–31.8%
    3–4+0.8%
    4+
    4+–03.2%
    4+–14.4%
    4+–23.0%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-07%
    4. 4.2-07%
    5. 5.1-27%
    Expected goals
    1,901,36
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    @2.32
    Over 2,563%
    @1.52

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Olympic to win46%
    • Over 1.5 goals84%

    Combined probability

    43%

    Fair odds

    2.34

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

    02 · 3 legs

    Balanced

    • Olympic to win46%
    • Over 2.5 goals63%
    • Chibueze Blessing Ejimole to score40%

    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 score64%
    • Over 2.5 goals63%
    • Chibueze Blessing Ejimole to score40%
    • Mohammad Ahmadi to be booked20%

    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 · OlympicX2 · Ängelholm
    Betsafe2.103.452.95
    Betsson2.103.452.95
    Nordicbet2.103.452.95

    Odds updated 3 Sept, 16:37

    Odds movement

    1-2 %
    44 %39 %

    2.152.10

    X-3 %
    28 %23 %

    3.553.45

    2+7 %
    35 %30 %

    2.752.95

    Betsson · 5 recorded price levels · 31/08/2026 → 03/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Olympic 2Draw 3Ängelholm 2
    Goals: 86 (⌀ 2)

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

    Key facts

    • Ängelholms FF have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Olympic
    Ängelholm
    When goals are scored and conceded 2026
    Olympic (3140)
    Ängelholm (2531)
    Pass networks

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

    Olympic
    Francis Dovi: 269 passningar, xT 0.54DoviAlbin Sundgren: 254 passningar, xT 1.23SundgrenAugust Karlin: 253 passningar, xT 0.49KarlinEric Fidelis Ologe: 190 passningar, xT 0.21OlogeCasper Nilsson: 174 passningar, xT 1NilssonAlexander Robért: 173 passningar, xT 0.61RobértOsama Khattab: 144 passningar, xT 1.64KhattabJacob Stern: 134 passningar, xT 0.19SternMattias Andersson: 93 passningar, xT 0.1AnderssonYusuf Olatunji Salau: 64 passningar, xT 0.14SalauJoakim Persson: 61 passningar, xT 0.01Persson
    Ängelholm
    Mohammad Ahmadi: 214 passningar, xT 0.38AhmadiBenjamin Tannus: 214 passningar, xT 0.29TannusArvid Wiklund: 202 passningar, xT 0.5WiklundOliver Stojanovic Fredin: 180 passningar, xT 1.36FredinEric Vedholm: 173 passningar, xT 0.28VedholmDaniel Bergman: 139 passningar, xT 0.1BergmanAnton Nilsson: 100 passningar, xT -0.17NilssonJacob Svensson: 87 passningar, xT 0.06SvenssonVilgot Carlsson: 85 passningar, xT 0.2CarlssonDiego Alfonsi: 62 passningar, xT 0.08AlfonsiRobin Streifert: 60 passningar, xT 0.27Streifert
    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: 269 passningar, xT 0.54DoviAlbin Sundgren: 254 passningar, xT 1.23SundgrenAugust Karlin: 253 passningar, xT 0.49KarlinEric Fidelis Ologe: 190 passningar, xT 0.21OlogeCasper Nilsson: 174 passningar, xT 1NilssonAlexander Robért: 173 passningar, xT 0.61RobértOsama Khattab: 144 passningar, xT 1.64KhattabJacob Stern: 134 passningar, xT 0.19SternMattias Andersson: 93 passningar, xT 0.1AnderssonYusuf Olatunji Salau: 64 passningar, xT 0.14SalauJoakim Persson: 61 passningar, xT 0.01Persson
    Ängelholm
    Mohammad Ahmadi: 214 passningar, xT 0.38AhmadiBenjamin Tannus: 214 passningar, xT 0.29TannusArvid Wiklund: 202 passningar, xT 0.5WiklundOliver Stojanovic Fredin: 180 passningar, xT 1.36FredinEric Vedholm: 173 passningar, xT 0.28VedholmDaniel Bergman: 139 passningar, xT 0.1BergmanAnton Nilsson: 100 passningar, xT -0.17NilssonJacob Svensson: 87 passningar, xT 0.06SvenssonVilgot Carlsson: 85 passningar, xT 0.2CarlssonDiego Alfonsi: 62 passningar, xT 0.08AlfonsiRobin Streifert: 60 passningar, xT 0.27Streifert

    The teams in numbers

    PerformanceOlympicÄngelholm
    Points2317
    xPoints24.426.6
    xG per match1.51.1
    xGA per match1.61.3
    xG within 8s of winning the ball0.20.17
    xGA within 8s of losing the ball0.380.23
    Playing styleOlympicÄngelholm
    Build-up efficiency0.350.35
    Field tilt0.50.47
    xT per match1.41.3
    xTA per match1.51.5
    Won balls, offensive half2328
    Pressing intensity0.460.46
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.290.26
    Entries into the box per match1411
    Entries into the box against1614
    Pass completion %0.830.76
    Pass completion % under pressure0.760.7
    Passes per match406316
    Passes against per match334397
    Switches of play per match15.417.4
    Long balls per match3129
    Set piecesOlympicÄngelholm
    xG from free kicks0.180.14
    Corners per match53.9
    Corners against per match5.84.1
    xG per corner0.020.03
    xGA per corner against0.020.01
    First touch, offensive corners %0.50.23
    First touch, defensive corners %0.610.58
    OtherOlympicÄngelholm
    Throw-in control0.640.51
    The goalkeepersJoakim Persson (Olympic)Robin Streifert (Ängelholm)
    Saves5656
    Save %58%64%
    xG prevented40%36%
    Claims93 (94%)139 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Olympic vs Ängelholm according to our model?

    The model gives Olympic a 46% win probability. Full 1X2 picture: Olympic 46%, draw 26%, Ängelholm 28%.

    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 63% and under at 37%.

    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.