Swedish Ettan16°1,0 mm10 km/h

    Läs på svenska
    ÄngelholmÄngelholmLow block & direct
    vs
    Skövde AIKSkövde AIKCounter-attacks & crosses
    The model's lean: 1 · Ängelholm (44%)

    ÄngelholmSkövde AIK · Swedish Ettan

    1 · Ängelholm 44%X 25%31% Skövde AIK · 2

    Analysis: ÄngelholmSkövde AIK

    Sofia Andersson · · The model's read on the match · How the predictions work

    The head-to-head record between Ängelholm and Skövde AIK since 2023 is limited, with just three encounters. Skövde have a slight edge, having secured one win and two draws. However, this small sample size doesn't overshadow current form and underlying numbers. Ängelholm's five-game losing streak looms large, contrasting sharply with Skövde’s more potent attack, having found the net in eight consecutive league matches.

    Despite Ängelholm's recent struggles, their expected points (xPoints) tell a different story. With 26.8 xPoints compared to Skövde’s 25.5, the hosts have arguably been unlucky not to convert performances into results. Both teams show equal expected goals (xG) per match at 1.1, but Ängelholm boast a marginally better defensive metric with an expected goals against (xGA) of 1.4 compared to 1.6 for Skövde. This suggests the home side might tighten up defensively and capitalize on their direct style against Skövde's counter-attacking approach.

    Given the model probabilities, Ängelholm are favored with a 44% chance of victory, while Skövde sit at 31%. The most likely scorelines of 1-1 and 2-1 tie into the 56% likelihood of over 2.5 goals and the 58% chance of both teams scoring. While the numbers indicate a close match, the model leans towards Ängelholm, suggesting they could finally halt their losing streak.

    From a betting perspective, there is value to be found in backing Ängelholm, given their favorable xPoints and the model’s inclination towards a home victory. Though not a certainty, the blend of probability and potential for a turnaround presents a calculated opportunity.

    ÄngelholmÄngelholm
    Form LLLLL
    League ranking xG #29xGA #17xT #25xP/match #17Points #28
    Key players
    • Vilgot CarlssonFxG 0.28 · xT 0.09
    • Oliver Stojanovic FredinFxG 0.15 · xT 0.51
    • Anton NilssonRWxG 0.24 · xT 0.11
    Skövde AIKSkövde AIK
    Form DLWDW
    League ranking xG #27xGA #24xT #14xP/match #22Points #21
    Key players
    • Alfons NygaardFxG 0.43 · xT 0.08
    • Oscar LennerskogFxG 0.24 · xT 0.10
    • Samuel SörmanRWxG 0.05 · xT 0.28

    Match prediction: ÄngelholmSkövde AIK

    Predicted score matrix

    Skövde AIK
    Ängelholm
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–16.4%
    0–24.2%
    0–31.7%
    0–4+0.7%
    1
    1–08.7%
    1–111.6%
    1–27.0%
    1–32.9%
    1–4+1.2%
    2
    2–07.6%
    2–19.4%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.2%
    3–15.3%
    3–23.3%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.6%
    4+–13.2%
    4+–22.0%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,681,25
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.08
    Over 2,556%
    @1.68

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Ängelholm or draw (1X)72%
    • Over 1.5 goals79%

    Combined probability

    58%

    Fair odds

    1.74

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

    02 · 3 legs

    Balanced

    • Double chance Ängelholm or draw (1X)72%
    • Over 2.5 goals56%
    • Adam Touray to score39%

    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 score58%
    • Over 2.5 goals56%
    • Adam Touray to score39%
    • Aldin Basic to be booked18%

    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 · Skövde AIK
    Betsafe2.123.452.90
    Betsson2.123.452.90
    Nordicbet2.123.452.90

    Odds updated 10 Sept, 15:37

    Odds movement

    Market signal

    The market has moved clearly towards an Skövde AIK win since 7 September — the odds have shortened from 3.65 to 2.90 (−21%).

    1+16 %
    51 %41 %

    1.822.12

    X-5 %
    31 %21 %

    3.653.45

    2-21 %
    33 %23 %

    3.652.90

    Betsson · 5 recorded price levels · 07/09/2026 → 10/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    3 matches
    Ängelholm 0Draw 2Skövde AIK 1
    Goals: 23 (⌀ 1,7)

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

    Key facts

    • Ängelholms FF have lost 5 in a row.
    • Skövde AIK have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Ängelholm
    Skövde AIK
    When goals are scored and conceded 2026
    Ängelholm (2536)
    Skövde AIK (2029)
    Pass networks

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

    Ängelholm
    Mohammad Ahmadi: 238 passningar, xT 0.42AhmadiEric Vedholm: 237 passningar, xT 0.37VedholmBenjamin Tannus: 221 passningar, xT 0.19TannusArvid Wiklund: 203 passningar, xT 0.65WiklundOliver Stojanovic Fredin: 167 passningar, xT 1.47FredinVilgot Carlsson: 106 passningar, xT 0.25CarlssonAnton Nilsson: 106 passningar, xT -0.25NilssonDaniel Bergman: 98 passningar, xT 0.11BergmanJacob Svensson: 75 passningar, xT 0.04SvenssonDiego Alfonsi: 60 passningar, xT 0.08AlfonsiRobin Streifert: 53 passningar, xT 0.24Streifert
    Skövde AIK
    Liam Svensson: 201 passningar, xT 0.75SvenssonHannes Forsgård: 164 passningar, xT 0.36ForsgårdAldin Basic: 163 passningar, xT 0.07BasicArvid Södeliden: 151 passningar, xT 0.96SödelidenSamuel Johnson: 149 passningar, xT 0.15JohnsonSamuel Sörman: 119 passningar, xT 0.54SörmanLinus Land: 109 passningar, xT 0.31LandGottfrid Elofsson: 96 passningar, xT 0.36ElofssonAmar Ibrahimovic: 89 passningar, xT 0.22IbrahimovicErik Ström: 70 passningar, xT 0.14StrömAlfons Nygaard: 62 passningar, xT 0.35Nygaard
    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
    Mohammad Ahmadi: 238 passningar, xT 0.42AhmadiEric Vedholm: 237 passningar, xT 0.37VedholmBenjamin Tannus: 221 passningar, xT 0.19TannusArvid Wiklund: 203 passningar, xT 0.65WiklundOliver Stojanovic Fredin: 167 passningar, xT 1.47FredinVilgot Carlsson: 106 passningar, xT 0.25CarlssonAnton Nilsson: 106 passningar, xT -0.25NilssonDaniel Bergman: 98 passningar, xT 0.11BergmanJacob Svensson: 75 passningar, xT 0.04SvenssonDiego Alfonsi: 60 passningar, xT 0.08AlfonsiRobin Streifert: 53 passningar, xT 0.24Streifert
    Skövde AIK
    Liam Svensson: 201 passningar, xT 0.75SvenssonHannes Forsgård: 164 passningar, xT 0.36ForsgårdAldin Basic: 163 passningar, xT 0.07BasicArvid Södeliden: 151 passningar, xT 0.96SödelidenSamuel Johnson: 149 passningar, xT 0.15JohnsonSamuel Sörman: 119 passningar, xT 0.54SörmanLinus Land: 109 passningar, xT 0.31LandGottfrid Elofsson: 96 passningar, xT 0.36ElofssonAmar Ibrahimovic: 89 passningar, xT 0.22IbrahimovicErik Ström: 70 passningar, xT 0.14StrömAlfons Nygaard: 62 passningar, xT 0.35Nygaard

    The teams in numbers

    PerformanceÄngelholmSkövde AIK
    Points1724
    xPoints26.825.5
    xG per match1.11.1
    xGA per match1.41.6
    xG within 8s of winning the ball0.170.21
    xGA within 8s of losing the ball0.230.38
    Playing styleÄngelholmSkövde AIK
    Build-up efficiency0.350.33
    Field tilt0.470.38
    xT per match1.31.4
    xTA per match1.51.5
    Won balls, offensive half2828
    Pressing intensity0.460.5
    Pressing efficiency0.270.24
    Pressing efficiency, offensive half0.260.25
    Entries into the box per match1013
    Entries into the box against1515
    Pass completion %0.760.76
    Pass completion % under pressure0.710.71
    Passes per match321321
    Passes against per match397440
    Switches of play per match17.518.6
    Long balls per match2935
    Set piecesÄngelholmSkövde AIK
    xG from free kicks0.140.1
    Corners per match44.5
    Corners against per match4.45.5
    xG per corner0.030.03
    xGA per corner against0.010.02
    First touch, offensive corners %0.230.33
    First touch, defensive corners %0.570.66
    OtherÄngelholmSkövde AIK
    Throw-in control0.520.56
    The goalkeepersRobin Streifert (Ängelholm)Amar Ibrahimovic (Skövde AIK)
    Saves5663
    Save %64%72%
    xG prevented36%51%
    Claims139 (97%)130 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ängelholm vs Skövde AIK according to our model?

    The model gives Ängelholm a 44% win probability. Full 1X2 picture: Ängelholm 44%, draw 25%, Skövde AIK 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.