EFL Championshipbet365 Stadium, Stoke-on-Trent17°17 km/h

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    Stoke CityStoke CityPossession control
    vs
    Swansea CitySwansea CityPossession control
    The model's lean: 2 · Swansea City (38%)Soft draw

    Stoke CitySwansea City · EFL Championship

    1 · Stoke City 34%X 28%38% Swansea City · 2

    Analysis: Stoke CitySwansea City

    Oscar Nilsson · · How the predictions work

    Four losses on the trot for Stoke City paint a picture of a team in turmoil, desperately seeking a turnaround. Yet, their head-to-head results against Swansea City since 2023 offer a glimmer of hope: two wins, a draw, and a loss in a small sample of four encounters. But don't let those numbers fool you—current form and underlying stats are leaning towards Swansea City. They possess an edge in points, albeit a slender one, 64 to 55, and a marginal advantage in expected points and goals.

    Swansea City’s model-backed probability of 38% victory suggests more than just a fighting chance, especially given Stoke’s recent woes. With both sides favoring possession control, this battle could easily turn into a chess match in midfield, reducing the likelihood of a goal-fest. The expected goals tally is nearly identical—Stoke City at 1.20 and Swansea City at 1.18—an indicator of how tight this contest could become, despite the contrasting current form.

    The most likely scorelines, 1-1, 1-0, and 0-1, each hover around 11-14%, reflecting a cautious expectation of a low-scoring affair. The over 2.5 goals probability sits at just 42%, and with weather conditions not mentioned as a factor, the model already anticipates a controlled, perhaps tense, match. Both teams to score is a coin toss at 49%, underlining the balance yet slight edge for Swansea.

    Swansea City, with a subtle edge in every statistical category, emerge as the side more likely to tip the scales. The sharpest betting angle lies in the value odds available for a Swansea City victory. Bookmakers Pinnacle, Betsafe, and Betsson offer odds of 3.0 and 2.92, respectively, with the model suggesting a 14% and 11% edge. If you're seeking value, look no further than backing Swansea City to capitalize on Stoke’s current slide.

    Stoke CityStoke City
    Form DLLLL
    League ranking xG #17xGA #14xT #20xP/match #20Points #17
    Key players
    • Benjamin Sorba William ThomasLWxG 0.08 · xT 0.17
    • Aaron William CresswellLBxG 0.03 · xT 0.13
    • Junior TchamadeuRBxG 0.02 · xT 0.15
    Swansea CitySwansea City
    Form WLWDW
    League ranking xG #13xGA #13xT #21xP/match #19Points #11
    Key players
    • Zan VipotnikFxG 0.42 · xT 0.04
    • Josh TymonLWBxG 0.03 · xT 0.14
    • Ben CabangoCBxG 0.08 · xT 0.07

    Match prediction: Stoke CitySwansea City

    Predicted score matrix

    Swansea City
    Stoke City
    0
    1
    2
    3
    4+
    0
    0–09.7%
    0–110.6%
    0–26.5%
    0–32.5%
    0–4+1.0%
    1
    1–010.8%
    1–113.5%
    1–27.7%
    1–33.0%
    1–4+1.2%
    2
    2–06.7%
    2–17.9%
    2–24.6%
    2–31.8%
    2–4+0.7%
    3
    3–02.7%
    3–13.1%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–01.0%
    4+–11.2%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.1-011%
    3. 3.0-111%
    4. 4.0-010%
    5. 5.2-18%
    Expected goals
    1,201,18
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.72
    Over 2,542%
    @2.14

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Swansea City or draw (X2)64%
    • Under 3.5 goals78%

    Combined probability

    50%

    Fair odds

    1.98

    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 (X2)64%
    • Under 2.5 goals58%
    • Adam Uche Idah to score28%

    Combined probability

    11%

    Fair odds

    8.96

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score49%
    • Over 2.5 goals42%
    • Adam Uche Idah to score28%
    • Marko Seufatu Nikola Stamenić to be booked25%

    Combined probability

    2%

    Fair odds

    40.93

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 2 · Swansea City38% probability@3.00PinnacleEV+14%
    • 2 · Swansea City38% probability@2.95BetsafeEV+12%
    • 2 · Swansea City38% probability@2.95BetssonEV+12%
    Bookmaker1 · Stoke CityX2 · Swansea City
    Betsafe2.453.25
    EV+ 12%
    2.95
    Betsson2.453.25
    EV+ 12%
    2.95
    Nordicbet2.453.25
    EV+ 12%
    2.95
    Pinnacle2.423.27
    EV+ 14%
    3.00

    Odds updated 13 Aug, 09:36

    Statistics

    Head-to-head

    4 matches
    Stoke City 2Draw 1Swansea City 1
    Goals: 54 (⌀ 2,2)

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

    Key facts

    • Stoke City have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Stoke City
    Swansea City
    When goals are scored and conceded 2025
    Stoke City (5156)
    Swansea City (5759)
    Pass networks

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

    Stoke City
    Eric Junior Bocat: 158 passningar, xT 0.3BocatAshley Phillips: 149 passningar, xT 0.13PhillipsBenjamin Sorba William Thomas: 146 passningar, xT 0.52ThomasBen Pearson: 129 passningar, xT 0.02PearsonBenjamin James Gibson: 105 passningar, xT 0.08GibsonSteven N'Kemboanza Mike Christopher Nzonzi: 102 passningar, xT 0.06NzonziGavin Okeroghene Bazunu: 96 passningar, xT 0.14BazunuTatsuki Seko: 86 passningar, xT 0.08SekoLewis Baker: 80 passningar, xT -0.02BakerMillion Manhoef: 79 passningar, xT 0.11ManhoefBosun Lawal: 72 passningar, xT 0.45Lawal
    Swansea City
    Cameron Robert Burgess: 320 passningar, xT 0.4BurgessBen Cabango: 300 passningar, xT 0.38CabangoJosh Tymon: 189 passningar, xT 0.64TymonMarko Seufatu Nikola Stamenić: 157 passningar, xT 0.08StamenićLawrence Vigouroux: 147 passningar, xT 0.17VigourouxGoncalo Franco: 125 passningar, xT 0.16FrancoLeo Walta: 95 passningar, xT 0.14WaltaJay Fulton: 95 passningar, xT 0FultonSamuel Parker: 72 passningar, xT 0.26ParkerMalick Junior Yalcouyé: 69 passningar, xT -0.04YalcouyéJosh Key: 65 passningar, xT 0.29Key
    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.

    Stoke City
    Eric Junior Bocat: 158 passningar, xT 0.3BocatAshley Phillips: 149 passningar, xT 0.13PhillipsBenjamin Sorba William Thomas: 146 passningar, xT 0.52ThomasBen Pearson: 129 passningar, xT 0.02PearsonBenjamin James Gibson: 105 passningar, xT 0.08GibsonSteven N'Kemboanza Mike Christopher Nzonzi: 102 passningar, xT 0.06NzonziGavin Okeroghene Bazunu: 96 passningar, xT 0.14BazunuTatsuki Seko: 86 passningar, xT 0.08SekoLewis Baker: 80 passningar, xT -0.02BakerMillion Manhoef: 79 passningar, xT 0.11ManhoefBosun Lawal: 72 passningar, xT 0.45Lawal
    Swansea City
    Cameron Robert Burgess: 320 passningar, xT 0.4BurgessBen Cabango: 300 passningar, xT 0.38CabangoJosh Tymon: 189 passningar, xT 0.64TymonMarko Seufatu Nikola Stamenić: 157 passningar, xT 0.08StamenićLawrence Vigouroux: 147 passningar, xT 0.17VigourouxGoncalo Franco: 125 passningar, xT 0.16FrancoLeo Walta: 95 passningar, xT 0.14WaltaJay Fulton: 95 passningar, xT 0FultonSamuel Parker: 72 passningar, xT 0.26ParkerMalick Junior Yalcouyé: 69 passningar, xT -0.04YalcouyéJosh Key: 65 passningar, xT 0.29Key

    The teams in numbers

    PerformanceStoke CitySwansea City
    Points5564
    xPoints57.557.7
    xG per match1.21.3
    xGA per match1.41.4
    xG within 8s of winning the ball0.220.19
    xGA within 8s of losing the ball0.210.21
    Playing styleStoke CitySwansea City
    Build-up efficiency0.290.27
    Field tilt0.460.53
    xT per match0.760.74
    xTA per match0.840.91
    Won balls, offensive half2426
    Pressing intensity0.230.23
    Pressing efficiency0.310.33
    Pressing efficiency, offensive half0.330.37
    Entries into the box per match1011
    Entries into the box against1212
    Pass completion %0.740.77
    Pass completion % under pressure0.710.73
    Passes per match329393
    Passes against per match299311
    Switches of play per match26.623.6
    Long balls per match3228
    Set piecesStoke CitySwansea City
    xG from free kicks0.070.12
    Corners per match64.6
    Corners against per match4.75.3
    xG per corner0.050.05
    xGA per corner against0.080.06
    First touch, offensive corners %0.310.44
    First touch, defensive corners %0.570.64
    OtherStoke CitySwansea City
    Throw-in control0.70.75
    The goalkeepersViktor Johansson (Stoke City)Lawrence Vigouroux (Swansea City)
    Saves74147
    Save %75%73%
    xG prevented47%53%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives Swansea City a 38% win probability. Full 1X2 picture: Stoke City 34%, draw 28%, Swansea City 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 42% and under at 58%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.