Swedish Ettan14°4,5 mm37 km/h

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    ÄngelholmÄngelholmLow block & direct
    vs
    EskilsminneEskilsminnePossession & high press
    The model's lean: 2 · Eskilsminne (40%)Soft draw

    Ängelholm vs Eskilsminne · Swedish Ettan

    1 · Ängelholm 35%X 25%40% Eskilsminne · 2

    Analysis: ÄngelholmEskilsminne

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

    Eleven percent of simulations point to a 1-1 draw, the single most common scoreline for this clash between Ängelholm and Eskilsminne. However, the visitors hold a slight edge with a 40% chance of securing the win. This tilt is grounded in Eskilsminne's marginal superiority in underlying metrics such as expected points and goals. Despite both sides enduring losing streaks, the hosts are on a rougher path, having dropped their last six matches.

    The styles here contrast sharply — Ängelholm's reliance on a low defensive line and direct play faces Eskilsminne's possession-centric, high-press philosophy. This strategic divergence could lead to vulnerabilities, particularly for the hosts, against a team adept at controlling the tempo. Historical meetings have typically been goal-rich, with an average of 4.9 goals per game.

    Given the model's over 2.5 goals probability at 59%, and both teams' defensive frailties, a high-scoring affair cannot be ruled out. The lean towards Eskilsminne to prevail presents potential value, especially considering their slight expected goals and points edges. A 1-2 win for the visitors appears a plausible outcome, with both teams likely finding the back of the net.

    ÄngelholmÄngelholm
    Form LLLLL
    League ranking xG #26xGA #21xT #23xP/match #17Points #28
    Key players
    • Vilgot CarlssonFxG 0.29 · xT 0.08
    • Oliver Stojanovic FredinFxG 0.15 · xT 0.53
    • Anton NilssonLWxG 0.23 · xT 0.11
    EskilsminneEskilsminne
    Form WDLLL
    League ranking xG #17xGA #19xT #7xP/match #15Points #22
    Key players
    • Hugo LindahlFxG 0.07 · xT 0.08
    • Leo Frigell JanssonRWxG 0.06 · xT 0.27
    • André GustafsonFxG 0.48 · xT -0.02

    Match prediction: ÄngelholmEskilsminne

    Predicted score matrix

    Eskilsminne
    Ängelholm
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–17.0%
    0–25.6%
    0–32.8%
    0–4+1.5%
    1
    1–06.9%
    1–111.4%
    1–28.4%
    1–34.3%
    1–4+2.3%
    2
    2–05.5%
    2–18.4%
    2–26.4%
    2–33.2%
    2–4+1.7%
    3
    3–02.8%
    3–14.2%
    3–23.2%
    3–31.6%
    3–4+0.9%
    4+
    4+–01.5%
    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. 2.1-28%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-07%
    Expected goals
    1,511,53
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    Over 2,559%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Eskilsminne or draw (X2)63%
    • Over 1.5 goals81%

    Combined probability

    51%

    Fair odds

    1.97

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

    02 · 3 legs

    Balanced

    • Double chance Eskilsminne or draw (X2)63%
    • Over 2.5 goals59%
    • Baker Amer to score25%

    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 score61%
    • Over 2.5 goals59%
    • Adam Touray to score39%
    • Daniel Bergman to be booked19%

    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+).

    • 2 · Eskilsminne40% probability@3.10BetsafeEV+24%reference odds
    • 2 · Eskilsminne40% probability@3.10BetssonEV+24%reference odds
    • 2 · Eskilsminne40% probability@3.10NordicbetEV+24%reference odds
    Bookmaker1 · ÄngelholmX2 · Eskilsminne
    Betsafe1.983.65
    EV+ 24%
    3.10
    Betsson1.983.65
    EV+ 24%
    3.10
    Nordicbet1.983.65
    EV+ 24%
    3.10

    Odds updated 16 Sept, 09:37

    Statistics

    Head-to-head

    7 matches
    Ängelholm 2Draw 3Eskilsminne 2
    Goals: 1915 (⌀ 4,9)

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

    Key facts

    • A high-scoring fixture: 4.9 goals per meeting on average.
    • Ängelholms FF have lost 6 in a row.
    • Eskilsminne IF have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Ängelholm
    Eskilsminne
    When goals are scored and conceded 2026
    Ängelholm (2539)
    Eskilsminne (3238)
    Pass networks

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

    Ängelholm
    Eric Vedholm: 272 passningar, xT 0.39VedholmMohammad Ahmadi: 241 passningar, xT 0.4AhmadiBenjamin Tannus: 197 passningar, xT 0.23TannusArvid Wiklund: 189 passningar, xT 0.57WiklundOliver Stojanovic Fredin: 155 passningar, xT 1.83FredinVilgot Carlsson: 135 passningar, xT 0.12CarlssonAnton Nilsson: 96 passningar, xT -0.23NilssonJacob Svensson: 87 passningar, xT 0.31SvenssonRobin Streifert: 63 passningar, xT 0.22StreifertDiego Alfonsi: 56 passningar, xT 0.01AlfonsiMelvin Ahlqvist: 55 passningar, xT 0.12Ahlqvist
    Eskilsminne
    Lucas Ohlander: 190 passningar, xT 0.88OhlanderWilliam Nilsson: 170 passningar, xT 0.3NilssonWilliam Westerlund: 167 passningar, xT 0.69WesterlundEgon Kurtulus: 139 passningar, xT 0.45KurtulusAxel Sjöberg: 134 passningar, xT 1.31SjöbergMelvin Larsson: 121 passningar, xT 0.02LarssonCasper Ljung Hofvendahl: 100 passningar, xT 0.93HofvendahlIan Pettersson: 75 passningar, xT 0.38PetterssonHugo Lindahl: 69 passningar, xT 0.56LindahlViggo Andersson: 60 passningar, xT 0.05AnderssonChristian Ljungberg: 58 passningar, xT 0.19Ljungberg
    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: 272 passningar, xT 0.39VedholmMohammad Ahmadi: 241 passningar, xT 0.4AhmadiBenjamin Tannus: 197 passningar, xT 0.23TannusArvid Wiklund: 189 passningar, xT 0.57WiklundOliver Stojanovic Fredin: 155 passningar, xT 1.83FredinVilgot Carlsson: 135 passningar, xT 0.12CarlssonAnton Nilsson: 96 passningar, xT -0.23NilssonJacob Svensson: 87 passningar, xT 0.31SvenssonRobin Streifert: 63 passningar, xT 0.22StreifertDiego Alfonsi: 56 passningar, xT 0.01AlfonsiMelvin Ahlqvist: 55 passningar, xT 0.12Ahlqvist
    Eskilsminne
    Lucas Ohlander: 190 passningar, xT 0.88OhlanderWilliam Nilsson: 170 passningar, xT 0.3NilssonWilliam Westerlund: 167 passningar, xT 0.69WesterlundEgon Kurtulus: 139 passningar, xT 0.45KurtulusAxel Sjöberg: 134 passningar, xT 1.31SjöbergMelvin Larsson: 121 passningar, xT 0.02LarssonCasper Ljung Hofvendahl: 100 passningar, xT 0.93HofvendahlIan Pettersson: 75 passningar, xT 0.38PetterssonHugo Lindahl: 69 passningar, xT 0.56LindahlViggo Andersson: 60 passningar, xT 0.05AnderssonChristian Ljungberg: 58 passningar, xT 0.19Ljungberg

    The teams in numbers

    PerformanceÄngelholmEskilsminne
    Points1725
    xPoints28.128.9
    xG per match1.21.3
    xGA per match1.51.4
    xG within 8s of winning the ball0.180.2
    xGA within 8s of losing the ball0.240.28
    Playing styleÄngelholmEskilsminne
    Build-up efficiency0.350.36
    Field tilt0.480.51
    xT per match1.31.6
    xTA per match1.61.5
    Won balls, offensive half2929
    Pressing intensity0.480.52
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.260.26
    Entries into the box per match1115
    Entries into the box against1515
    Pass completion %0.760.77
    Pass completion % under pressure0.710.72
    Passes per match329334
    Passes against per match389349
    Switches of play per match17.221.1
    Long balls per match2936
    Set piecesÄngelholmEskilsminne
    xG from free kicks0.140.14
    Corners per match4.44.6
    Corners against per match4.35.1
    xG per corner0.030.02
    xGA per corner against0.030.02
    First touch, offensive corners %0.240.35
    First touch, defensive corners %0.550.57
    OtherÄngelholmEskilsminne
    Throw-in control0.520.55
    The goalkeepersRobin Streifert (Ängelholm)Ian Pettersson (Eskilsminne)
    Saves6073
    Save %64%67%
    xG prevented37%47%
    Claims142 (97%)109 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ängelholm vs Eskilsminne according to our model?

    The model gives Eskilsminne a 40% win probability. Full 1X2 picture: Ängelholm 35%, draw 25%, Eskilsminne 40%.

    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 61% 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.