Swedish AllsvenskanGamla Ullevi, Göteborg7°15 km/h

    Läs på svenska
    ÖrgryteÖrgryteBalanced & physical
    vs
    GAISGAISPossession & high press
    The model's lean: 2 · GAIS (60%)

    Örgryte vs GAIS · Swedish Allsvenskan

    1 · Örgryte 18%X 21%60% GAIS · 2

    Prediction summary

    BetBuilders AI model prediction for Örgryte vs GAIS (Swedish Allsvenskan, Sunday, 18 October 2026): Örgryte win 18%, draw 21%, GAIS win 60%. Expected goals (xG): Örgryte 0.96, GAIS 1.96. Most likely score: 1-1 (10%). Over 2.5 goals 56%, both teams to score 53%. Double chance: Örgryte or draw 40%, GAIS or draw 82%. Prediction updated Saturday, 10 October 2026.

    Bet on this match

    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
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

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

    Analysis: Örgryte – GAIS

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

    TEXT (corrected):

    The single head-to-head clash between Örgryte and Gais since 2023 saw the visitors come out on top. While this limited sample holds less weight than current form and expected goals, it sets the stage for what could be another challenging evening for the hosts. Gais's possession-heavy play style, coupled with their high pressing tactics, positions them as favorites not just in numbers, but in the dynamic of play.

    The statistical backdrop paints a stark picture: Gais sit comfortably with 30 points, doubling Örgryte's tally. More tellingly, the expected points (xPoints) metric suggests that Gais's performance aligns closely with their actual success, showcasing a robust side. Örgryte, with xPoints of 23.5, underlines a team that struggles to convert opportunities into tangible results. The expected goals (xG) and goals against (xGA) further emphasize this disparity, forecasting a difficult task for the home side to breach Gais's organized defense.

    Given these metrics, the most probable scorelines are tightly bunched, with 1-1, 0-2, and 0-1 each sitting around 10%. The model's probabilities lean heavily towards Gais, offering a 60% chance of an away victory. The over 2.5 goals probability at 56% suggests we could see a few goals, especially if Gais's attacking prowess comes to the fore. However, the hosts' physicality might just stifle enough of the visitors' flow to keep it tight.

    Given the model's confidence in Gais and their ability to dominate on both sides of the pitch, the underlying numbers point clearly in their favor.

    ÖrgryteÖrgryte
    Form DLDLL
    League ranking xG #14xGA #15xT #14xP/match #12Points #15
    Key players
    • Daniel PaulsonCAMxG 0.10 · xT 0.15
    • Noah ChristofferssonFxG 0.38 · xT 0.03
    • Tobias SanaCAMxG 0.12 · xT 0.25
    GAISGAIS
    Form WDLWL
    League ranking xG #4xGA #5xT #2xP/match #4Points #10
    Key players
    • August WängbergRBxG 0.02 · xT 0.14
    • Filip BeckmanCBxG 0.10 · xT 0.09
    • Robin FrejCBxG 0.02 · xT 0.20

    Match prediction: Örgryte – GAIS

    Predicted score matrix

    GAIS →
    Örgryte →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–110.3%
    0–210.4%
    0–36.8%
    0–4+5.2%
    1
    1–04.9%
    1–110.5%
    1–29.9%
    1–36.5%
    1–4+5.0%
    2
    2–02.5%
    2–14.9%
    2–24.8%
    2–33.1%
    2–4+2.4%
    3
    3–00.8%
    3–11.5%
    3–21.5%
    3–31.0%
    3–4+0.8%
    4+
    4+–00.2%
    4+–10.5%
    4+–20.4%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.0-210%
    3. 3.0-110%
    4. 4.1-210%
    5. 5.0-37%
    Expected goals
    0,96–1,96
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    –
    Over 2,556%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • GAIS to win60%
    • Over 1.5 goals79%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 2 legs

    Balanced

    • GAIS to win60%
    • Over 2.5 goals56%

    Combined probability

    40%

    Fair odds

    2.52

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 2 legs

    Bold

    • Both teams to score53%
    • Over 2.5 goals56%

    Combined probability

    43%

    Fair odds

    2.34

    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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Örgryte 0Draw 0GAIS 1
    Goals: 0–4 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    Örgryte
    GAIS
    When goals are scored and conceded — 2026
    Örgryte (25–49)
    GAIS (28–21)
    Pass networks

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

    Örgryte
    Owen Parker-Price: 263 passningar, xT 0.95Parker-PriceTobias Sana: 202 passningar, xT 0.88SanaMikael Dyrestam: 201 passningar, xT 0.18DyrestamSebastian Lagerlund: 180 passningar, xT 0.3LagerlundBenjamin Laturnus: 179 passningar, xT 0.15LaturnusJohan Hammar: 177 passningar, xT 0.15HammarAdam Andersson: 162 passningar, xT 0.75AnderssonChristoffer Styffe: 134 passningar, xT 0.29StyffeDaniel Paulson: 126 passningar, xT 0.42PaulsonAnton Andreasson: 55 passningar, xT 0.19AndreassonHampus Gustafsson: 54 passningar, xT 0.05Gustafsson
    GAIS
    Filip Beckman: 313 passningar, xT 0.34BeckmanOskar Ågren: 260 passningar, xT 0.42ÅgrenJoackim Fagerjord: 250 passningar, xT 0.33FagerjordMatteo De Brienne: 231 passningar, xT 0.5BrienneAugust Wängberg: 201 passningar, xT 0.4WängbergRobin Frej: 146 passningar, xT 0.4FrejHenry Sletsjøe: 108 passningar, xT 0.01SletsjøeMergim Krasniqi: 88 passningar, xT 0.16KrasniqiDennis Collander: 83 passningar, xT 0.54CollanderRasmus Niklasson Petrovic: 81 passningar, xT 1.52PetrovicWilliam Milovanovic: 74 passningar, xT 1.08Milovanovic
    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.

    Örgryte
    Owen Parker-Price: 263 passningar, xT 0.95Parker-PriceTobias Sana: 202 passningar, xT 0.88SanaMikael Dyrestam: 201 passningar, xT 0.18DyrestamSebastian Lagerlund: 180 passningar, xT 0.3LagerlundBenjamin Laturnus: 179 passningar, xT 0.15LaturnusJohan Hammar: 177 passningar, xT 0.15HammarAdam Andersson: 162 passningar, xT 0.75AnderssonChristoffer Styffe: 134 passningar, xT 0.29StyffeDaniel Paulson: 126 passningar, xT 0.42PaulsonAnton Andreasson: 55 passningar, xT 0.19AndreassonHampus Gustafsson: 54 passningar, xT 0.05Gustafsson
    GAIS
    Filip Beckman: 313 passningar, xT 0.34BeckmanOskar Ågren: 260 passningar, xT 0.42ÅgrenJoackim Fagerjord: 250 passningar, xT 0.33FagerjordMatteo De Brienne: 231 passningar, xT 0.5BrienneAugust Wängberg: 201 passningar, xT 0.4WängbergRobin Frej: 146 passningar, xT 0.4FrejHenry Sletsjøe: 108 passningar, xT 0.01SletsjøeMergim Krasniqi: 88 passningar, xT 0.16KrasniqiDennis Collander: 83 passningar, xT 0.54CollanderRasmus Niklasson Petrovic: 81 passningar, xT 1.52PetrovicWilliam Milovanovic: 74 passningar, xT 1.08Milovanovic

    The teams in numbers

    PerformanceÖrgryteGAIS
    Points1530
    xPoints23.536.8
    xG per match11.6
    xGA per match1.91.1
    xG within 8s of winning the ball0.150.44
    xGA within 8s of losing the ball0.290.15
    Playing styleÖrgryteGAIS
    Build-up efficiency0.360.33
    Field tilt0.340.56
    xT per match1.11.6
    xTA per match1.61.2
    Won balls, offensive half2538
    Pressing intensity0.50.5
    Pressing efficiency0.20.24
    Pressing efficiency, offensive half0.220.25
    Entries into the box per match1317
    Entries into the box against1712
    Pass completion %0.780.8
    Pass completion % under pressure0.750.76
    Passes per match345419
    Passes against per match483407
    Switches of play per match15.212.4
    Long balls per match2627
    Set piecesÖrgryteGAIS
    xG from free kicks0.120.17
    Corners per match45.2
    Corners against per match6.14.6
    xG per corner0.030.02
    xGA per corner against0.030.02
    First touch, offensive corners %0.440.37
    First touch, defensive corners %0.580.67
    OtherÖrgryteGAIS
    Throw-in control0.580.62
    The goalkeepersHampus Gustafsson (Örgryte)Mergim Krasniqi (GAIS)
    Saves8953
    Save %65%80%
    xG prevented36%51%
    Claims123 (90%)91 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Örgryte vs GAIS according to our model?

    The model gives GAIS a 60% win probability. Full 1X2 picture: Örgryte 18%, draw 21%, GAIS 60%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Örgryte vs GAIS?

    The model expects 0.96 goals (xG) for Örgryte and 1.96 for GAIS, 2.92 in total.

    What does the model say about double chance?

    Örgryte or draw (1X) 40%, GAIS or draw (X2) 82% and no draw (12) 79%.

    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.