Swedish AllsvenskanBorås arena, Borås17°10,2 mm19 km/h

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    ElfsborgElfsborgCounter-attacks & crosses
    vs
    DegerforsDegerforsBalanced & physical
    The model's lean: 1 · Elfsborg (54%)Best value by the model: 2 · Degerfors @ 5.95 (+27 %)

    ElfsborgDegerfors · Swedish Allsvenskan

    1 · Elfsborg 54%X 25%21% Degerfors · 2

    Analysis: ElfsborgDegerfors

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

    The numbers point to a clash of styles as Elfsborg host Degerfors in the Allsvenskan. The home side, known for their counter-attacking and reliance on crosses, comes into this encounter with a model probability of 54% to secure a win. Meanwhile, Degerfors, who adopt a more balanced and physical approach, have only a 21% chance of triumphing according to the model. With Elfsborg dominating recent meetings, having won three out of the last five, they seem better positioned for success.

    Goals are expected, with the odds favoring over 2.5 goals at 56%. Both teams are equally likely, at 56%, to find the back of the net. However, the expected goals (xG) tell a slightly different story, with Elfsborg having a more robust attack, registering 1.83 xG to Degerfors' 1.11 xG. The model's most likely scorelines echo this, with a 1-1 draw leading at 11%, closely followed by a 2-1 win for the hosts at 10%.

    The rainy conditions, with 12.0 mm of expected precipitation, could impact the game dynamics, possibly dampening goal-scoring opportunities. Yet, the model has factored this into its calculations, maintaining the initial predictions. Elfsborg's historical win rate at home stands at 56%, which further solidifies their odds of coming out on top in this matchup.

    For those looking for a value bet, the away win at odds of 5.95 with Betsafe, Betsson, or Nordicbet offers an interesting option. The model rates Degerfors' chances at 21%, providing a significant 27% edge over the bookmaker's odds. While Elfsborg remains the favorite, the numbers suggest that a punt on Degerfors could yield a handsome return if they defy the odds.

    ElfsborgElfsborg
    Form LWWWD
    League ranking xG #8xGA #8xT #9xP/match #9Points #4
    Key players
    • Niklas HultLWBxG 0.06 · xT 0.15
    • Arber ZeneliLWxG 0.31 · xT 0.45
    • Júlíus MagnússonCMxG 0.12 · xT 0.13
    DegerforsDegerfors
    Form LLWWL
    League ranking xG #16xGA #11xT #10xP/match #15Points #14
    Key players
    • Dijan VukojevicFxG 0.23 · xT 0.20
    • Nahom Girmai NetabayRWxG 0.06 · xT 0.32
    • Daniel SundgrenRWxG 0.03 · xT 0.23

    Match prediction: ElfsborgDegerfors

    Predicted score matrix

    Degerfors
    Elfsborg
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–15.6%
    0–23.3%
    0–31.2%
    0–4+0.4%
    1
    1–09.4%
    1–111.1%
    1–25.9%
    1–32.2%
    1–4+0.8%
    2
    2–08.9%
    2–19.8%
    2–25.4%
    2–32.0%
    2–4+0.7%
    3
    3–05.4%
    3–16.0%
    3–23.3%
    3–31.2%
    3–4+0.4%
    4+
    4+–03.7%
    4+–14.1%
    4+–22.3%
    4+–30.8%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,831,11
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.98
    Over 2,556%
    @1.83EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Elfsborg to win54%
    • Over 1.5 goals79%

    Combined probability

    44%

    Fair odds

    2.25

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

    02 · 3 legs

    Balanced

    • Elfsborg to win54%
    • Over 2.5 goals56%
    • Leo Östman to score32%

    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 score56%
    • Over 2.5 goals56%
    • Leo Östman to score32%
    • Juhani Pikkarainen 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Degerfors21% probability@5.95BetsafeEV+27%reference odds
    • 2 · Degerfors21% probability@5.95BetssonEV+27%reference odds
    • 2 · Degerfors21% probability@5.95NordicbetEV+27%reference odds
    Bookmaker1 · ElfsborgX2 · Degerfors
    Betsafe1.593.90
    EV+ 27%
    5.95
    Betsson1.593.90
    EV+ 27%
    5.95
    Nordicbet1.593.90
    EV+ 27%
    5.95
    Pinnacle1.553.98
    EV+ 23%
    5.77

    Odds updated 27 Aug, 16:39

    Odds movement

    10 %
    63 %58 %

    1.551.55

    X-2 %
    26 %21 %

    4.083.98

    2+2 %
    19 %14 %

    5.685.77

    Over 2,50 %
    55 %50 %

    1.821.83

    Pinnacle · 4 recorded price levels · 23/08/2026 → 27/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Elfsborg 3Draw 1Degerfors 1
    Goals: 75 (⌀ 2,4)

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

    Key facts

    • IF Elfsborg dominate this fixture historically: 3 wins to 1 in 5 meetings.
    • IF Elfsborg win 56% of their home matches all-time (54 played).
    xG & xGA per match — 3-game rolling average

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

    Elfsborg
    Degerfors
    When goals are scored and conceded 2026
    Elfsborg (2519)
    Degerfors (1729)
    Pass networks

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

    Elfsborg
    Thomas Poppler Isherwood: 261 passningar, xT 0.37IsherwoodJulius Eskelund Beck: 242 passningar, xT 0.86BeckAlexander Jensen: 242 passningar, xT 0.76JensenNiklas Hult: 232 passningar, xT 0.86HultJúlíus Magnússon: 198 passningar, xT 0.45MagnússonSebastian Holmén: 193 passningar, xT 0.19HolménSimon Olsson: 168 passningar, xT 0.81OlssonMomoh Ibrahim Kamara: 152 passningar, xT 0.84KamaraIsak Pettersson: 146 passningar, xT 0.26PetterssonArber Zeneli: 139 passningar, xT 0.44ZeneliRasmus Wikström: 112 passningar, xT 0.03Wikström
    Degerfors
    Bilal Hussein: 236 passningar, xT 0.73HusseinAhmad Faqa: 201 passningar, xT 0.4FaqaNikolai Skuseth: 199 passningar, xT 0.36SkusethKazper Karlsson: 162 passningar, xT 0.11KarlssonSamba Diatara: 153 passningar, xT 0.95DiataraNahom Girmai Netabay: 130 passningar, xT 1.19NetabayElias Barsoum: 118 passningar, xT 0.98BarsoumCR Sebastian Ohlsson: 109 passningar, xT 0.33OhlssonRobin Dzabic: 105 passningar, xT 0.17DzabicMatvei Igonen: 73 passningar, xT 0.3IgonenDijan Vukojevic: 62 passningar, xT 0.35Vukojevic
    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.

    Elfsborg
    Thomas Poppler Isherwood: 261 passningar, xT 0.37IsherwoodJulius Eskelund Beck: 242 passningar, xT 0.86BeckAlexander Jensen: 242 passningar, xT 0.76JensenNiklas Hult: 232 passningar, xT 0.86HultJúlíus Magnússon: 198 passningar, xT 0.45MagnússonSebastian Holmén: 193 passningar, xT 0.19HolménSimon Olsson: 168 passningar, xT 0.81OlssonMomoh Ibrahim Kamara: 152 passningar, xT 0.84KamaraIsak Pettersson: 146 passningar, xT 0.26PetterssonArber Zeneli: 139 passningar, xT 0.44ZeneliRasmus Wikström: 112 passningar, xT 0.03Wikström
    Degerfors
    Bilal Hussein: 236 passningar, xT 0.73HusseinAhmad Faqa: 201 passningar, xT 0.4FaqaNikolai Skuseth: 199 passningar, xT 0.36SkusethKazper Karlsson: 162 passningar, xT 0.11KarlssonSamba Diatara: 153 passningar, xT 0.95DiataraNahom Girmai Netabay: 130 passningar, xT 1.19NetabayElias Barsoum: 118 passningar, xT 0.98BarsoumCR Sebastian Ohlsson: 109 passningar, xT 0.33OhlssonRobin Dzabic: 105 passningar, xT 0.17DzabicMatvei Igonen: 73 passningar, xT 0.3IgonenDijan Vukojevic: 62 passningar, xT 0.35Vukojevic

    The teams in numbers

    PerformanceElfsborgDegerfors
    Points2816
    xPoints24.518.6
    xG per match1.30.9
    xGA per match1.31.6
    xG within 8s of winning the ball0.230.25
    xGA within 8s of losing the ball0.30.33
    Playing styleElfsborgDegerfors
    Build-up efficiency0.350.35
    Field tilt0.460.44
    xT per match1.41.4
    xTA per match1.31.4
    Won balls, offensive half2733
    Pressing intensity0.470.46
    Pressing efficiency0.230.25
    Pressing efficiency, offensive half0.240.28
    Entries into the box per match1310
    Entries into the box against1314
    Pass completion %0.820.78
    Pass completion % under pressure0.770.74
    Passes per match394346
    Passes against per match436413
    Switches of play per match13.813.7
    Long balls per match2727
    Set piecesElfsborgDegerfors
    xG from free kicks0.10.08
    Corners per match3.94.3
    Corners against per match5.15.1
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.470.26
    First touch, defensive corners %0.70.65
    OtherElfsborgDegerfors
    Throw-in control0.640.54
    The goalkeepersIsak Pettersson (Elfsborg)Matvei Igonen (Degerfors)
    Saves6059
    Save %76%67%
    xG prevented55%38%
    Claims80 (86%)89 (91%)

    Frequently asked questions

    Who wins Elfsborg vs Degerfors according to our model?

    The model gives Elfsborg a 54% win probability. Full 1X2 picture: Elfsborg 54%, draw 25%, Degerfors 21%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.