EFL ChampionshipSwansea.com Stadium, Swansea12°0,6 mm23 km/h

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    Swansea CitySwansea CityPossession control
    vs
    Norwich CityNorwich CityPossession control
    The model's lean: 1 · Swansea City (45%)

    Swansea City vs Norwich City · EFL Championship

    1 · Swansea City 45%X 30%26% Norwich City · 2

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    Analysis: Swansea City – Norwich City

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Swansea City sits with a 45% win probability against Norwich City, a side struggling with just a 26% chance to claim victory. The 1-1 draw is the most probable scoreline at 12%, but Swansea's 2-1 and 1-0 wins both hover at 9%, suggesting a slight edge for the hosts. Despite both teams favoring possession-based play, Swansea's current form and points tally offer them a tangible advantage on the pitch.

    While the Swans hold a slim 17-9 points edge, their xPoints trail behind Norwich, 10.7 to 12.8, indicating the visitors might be underperforming against their expected outcomes. Norwich City's offensive metrics, with an xG of 1.7 per match, also suggest potential for an upset, though their defensive vulnerability (xGA 1.4) could be exploited by a Swansea side showing a slightly better defensive record (xGA 1.3).

    Value hunters should note LeoVegas offering Swansea at 2.45, considering the model's 45% rating provides a 9% edge here — a clearer opportunity than backing the draw. While a 1-1 draw at 3.4 odds offers some edge too, the stronger play involves backing the home side in a match likely to exceed 2.5 goals.

    Swansea CitySwansea City
    Form WDLWW
    League ranking xG #10xGA #7xT #13xP/match #14Points #1
    Key players
    • Josh KeyRWBxG 0.00 · xT 0.13
    • Josh TymonLWBxG 0.01 · xT 0.12
    • Filip LissahRBxG 0.00 · xT 0.06
    Norwich CityNorwich City
    Form LWWLL
    League ranking xG #7xGA #17xT #11xP/match #5Points #17
    Key players
    • Andre Chance BrooksRWxG 0.39 · xT 0.04
    • Kenny McleanCDMxG 0.05 · xT 0.13
    • Oscar SchwartauCAMxG 0.14 · xT 0.07

    Match prediction: Swansea City – Norwich City

    Predicted score matrix

    Norwich City →
    Swansea City →
    0
    1
    2
    3
    4+
    0
    0–06.3%
    0–16.8%
    0–24.3%
    0–31.7%
    0–4+0.7%
    1
    1–09.3%
    1–111.9%
    1–27.0%
    1–32.8%
    1–4+1.1%
    2
    2–07.8%
    2–19.4%
    2–25.6%
    2–32.3%
    2–4+0.9%
    3
    3–04.2%
    3–15.1%
    3–23.0%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.5%
    4+–12.9%
    4+–21.8%
    4+–30.7%
    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
    1,62–1,20
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.04
    Over 2,554%
    @1.77

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Swansea City or draw (1X)72%
    • Over 1.5 goals78%

    Combined probability

    56%

    Fair odds

    1.77

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

    02 · 3 legs

    Balanced

    • Double chance Swansea City or draw (1X)72%
    • Over 2.5 goals54%
    • Moussa Kounfolo Yeo to score20%

    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 goals54%
    • Moussa Kounfolo Yeo to score20%
    • Pelle Elkjær Mattsson to be booked25%

    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+).

    • 1 · Swansea City45% probability@2.45BetsafeEV+9%reference odds
    • 1 · Swansea City45% probability@2.45LeoVegasEV+9%reference odds
    • 1 · Swansea City45% probability@2.45NordicbetEV+9%reference odds
    Bookmaker1 · Swansea CityX2 · Norwich City
    Betsafe
    EV+ 9%
    2.45
    EV+ 2%
    3.45
    2.70
    LeoVegas
    EV+ 9%
    2.45
    EV+ 1%
    3.40
    2.65
    Nordicbet
    EV+ 9%
    2.45
    EV+ 2%
    3.45
    2.70

    Odds updated 2 Oct, 07:36

    Statistics

    Head-to-head

    4 matches
    Swansea City 2Draw 1Norwich City 1
    Goals: 5–7 (⌀ 3)

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

    xG & xGA per match — 3-game rolling average

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

    Swansea City
    Norwich City
    When goals are scored and conceded — 2026
    Swansea City (13–6)
    Norwich City (16–17)
    Pass networks

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

    Swansea City
    Stephen Welsh: 351 passningar, xT 0.65WelshFilip Lissah: 243 passningar, xT 0.36LissahJosh Tymon: 242 passningar, xT 0.48TymonMarko Seufatu Nikola Stamenić: 240 passningar, xT 0.09StamenićBen Cabango: 218 passningar, xT 0.19CabangoStephen Antunes Eustaquio: 197 passningar, xT 0.06EustaquioLawrence Vigouroux: 195 passningar, xT 0.1VigourouxViktor Melker Widell: 140 passningar, xT 0.44WidellJosh Key: 131 passningar, xT 0.14KeyJay Fulton: 122 passningar, xT 0.05FultonElijah Henry Just: 91 passningar, xT 0.2Just
    Norwich City
    Jose Cordoba: 247 passningar, xT 0.46CordobaRuairi Mcconville: 234 passningar, xT 0.68McconvilleKenny Mclean: 224 passningar, xT 0.46McleanPelle Mattsson: 220 passningar, xT 0.3MattssonBen Chrisene: 166 passningar, xT 0.21ChriseneVladan Kovačević: 144 passningar, xT 0.07KovačevićJack Stacey: 106 passningar, xT 0.09StaceyAndre Chance Brooks: 83 passningar, xT 0.05BrooksAnthony Musaba: 58 passningar, xT 1.05MusabaOscar Schwartau: 52 passningar, xT 0.1SchwartauKellen Fisher: 52 passningar, xT 0.33Fisher
    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.

    Swansea City
    Stephen Welsh: 351 passningar, xT 0.65WelshFilip Lissah: 243 passningar, xT 0.36LissahJosh Tymon: 242 passningar, xT 0.48TymonMarko Seufatu Nikola Stamenić: 240 passningar, xT 0.09StamenićBen Cabango: 218 passningar, xT 0.19CabangoStephen Antunes Eustaquio: 197 passningar, xT 0.06EustaquioLawrence Vigouroux: 195 passningar, xT 0.1VigourouxViktor Melker Widell: 140 passningar, xT 0.44WidellJosh Key: 131 passningar, xT 0.14KeyJay Fulton: 122 passningar, xT 0.05FultonElijah Henry Just: 91 passningar, xT 0.2Just
    Norwich City
    Jose Cordoba: 247 passningar, xT 0.46CordobaRuairi Mcconville: 234 passningar, xT 0.68McconvilleKenny Mclean: 224 passningar, xT 0.46McleanPelle Mattsson: 220 passningar, xT 0.3MattssonBen Chrisene: 166 passningar, xT 0.21ChriseneVladan Kovačević: 144 passningar, xT 0.07KovačevićJack Stacey: 106 passningar, xT 0.09StaceyAndre Chance Brooks: 83 passningar, xT 0.05BrooksAnthony Musaba: 58 passningar, xT 1.05MusabaOscar Schwartau: 52 passningar, xT 0.1SchwartauKellen Fisher: 52 passningar, xT 0.33Fisher

    The teams in numbers

    PerformanceSwansea CityNorwich City
    Points179
    xPoints10.712.8
    xG per match1.51.7
    xGA per match1.31.4
    xG within 8s of winning the ball0.270.22
    xGA within 8s of losing the ball0.180.14
    Playing styleSwansea CityNorwich City
    Build-up efficiency0.270.28
    Field tilt0.640.56
    xT per match0.920.95
    xTA per match0.750.97
    Won balls, offensive half2825
    Pressing intensity0.210.22
    Pressing efficiency0.370.37
    Pressing efficiency, offensive half0.370.33
    Entries into the box per match1210
    Entries into the box against1211
    Pass completion %0.780.74
    Pass completion % under pressure0.750.66
    Passes per match454344
    Passes against per match280297
    Switches of play per match25.522
    Long balls per match3029
    Set piecesSwansea CityNorwich City
    xG from free kicks0.020.04
    Corners per match4.34.8
    Corners against per match4.34.7
    xG per corner0.040.02
    xGA per corner against0.050.03
    First touch, offensive corners %0.530.37
    First touch, defensive corners %0.530.54
    OtherSwansea CityNorwich City
    Throw-in control0.710.77
    The goalkeepersLawrence Vigouroux (Swansea City)Vladan Kovačević (Norwich City)
    Saves1918
    Save %76%51%
    xG prevented65%34%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Swansea City vs Norwich City according to our model?

    The model gives Swansea City a 45% win probability. Full 1X2 picture: Swansea City 45%, draw 30%, Norwich City 26%.

    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 54% and under at 46%.

    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.