EFL ChampionshipFratton Park, Portsmouth10°16 km/h

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    PortsmouthPortsmouthPossession control
    vs
    Swansea CitySwansea CityPossession control
    The model's lean: 1 · Portsmouth (41%)

    Portsmouth vs Swansea City · EFL Championship

    1 · Portsmouth 41%X 33%26% Swansea City · 2

    Prediction summary

    BetBuilders AI model prediction for Portsmouth vs Swansea City (EFL Championship, Tuesday, 3 November 2026): Portsmouth win 41%, draw 33%, Swansea City win 26%. Expected goals (xG): Portsmouth 1.28, Swansea City 1.13. Most likely score: 1-1 (13%). Over 2.5 goals 44%, both teams to score 49%. Double chance: Portsmouth or draw 74%, Swansea City or draw 59%. Prediction updated Monday, 26 October 2026.

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    Analysis: Portsmouth – Swansea City

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

    Portsmouth goes into this clash with Swansea City holding a statistical edge that the betting odds might not fully capture. Despite trailing in the points tally by five, Pompey has outperformed Swansea in expected points, signaling underappreciated consistency at creating and limiting chances. This discrepancy suggests potential value in betting on a home win.

    Both teams share a possession-first approach, which often leads to tight contests. The model's most likely outcomes are narrow margins—1-1 and 1-0—indicating a low-scoring affair. Given the over 2.5 goals probability is only 44%, bettors might lean towards the under, expecting a tactical battle rather than a shooting gallery.

    Portsmouth's slight advantage in expected goals against (xGA) indicates they are marginally better defensively. This could be crucial against a Swansea side that struggles to convert possession into tangible results, as reflected in their lower xPoints. Portsmouth's ability to capitalize on chances and maintain a solid backline might be the key to tipping the scales in their favor.

    The head-to-head record is not definitive, given the small sample size of four matches. Portsmouth’s lone win in this series hints at their potential to upset the visitors, but recent form and expected goals data should weigh more heavily in assessing the outcome.

    For those looking to exploit potential value, Portsmouth is priced at 2.40 on Bet365. This offers an enticing opportunity, especially when weighed against the model's 41% win probability for the hosts. While not a guarantee, the alignment of analytical insights and bookmaker odds presents a compelling angle for betting on a Portsmouth win.

    PortsmouthPortsmouth
    Form LWWDW
    League ranking xG #16xGA #2xT #19xP/match #10Points #11
    Key players
    • Terry DevlinRWBxG 0.05 · xT 0.07
    • Zak SwansonLWBxG 0.03 · xT 0.06
    • Regan PooleCBxG 0.06 · xT 0.07
    Swansea CitySwansea City
    Form WWWLL
    League ranking xG #12xGA #10xT #9xP/match #18Points #3
    Key players
    • Filip LissahRBxG 0.00 · xT 0.06
    • Stephen WelshCBxG 0.03 · xT 0.15
    • Josh KeyRWBxG 0.00 · xT 0.13

    Match prediction: Portsmouth – Swansea City

    Predicted score matrix

    Swansea City →
    Portsmouth →
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–19.7%
    0–25.7%
    0–32.2%
    0–4+0.8%
    1
    1–011.1%
    1–113.4%
    1–27.4%
    1–32.8%
    1–4+1.0%
    2
    2–07.3%
    2–18.3%
    2–24.7%
    2–31.8%
    2–4+0.6%
    3
    3–03.1%
    3–13.6%
    3–22.0%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.3%
    4+–11.5%
    4+–20.9%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-110%
    4. 4.0-09%
    5. 5.2-18%
    Expected goals
    1,28–1,13
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    –
    Over 2,544%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Portsmouth or draw (1X)68%
    • Under 3.5 goals77%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Portsmouth or draw (1X)68%
    • Under 2.5 goals56%
    • Zachary Swanson to score16%

    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 score49%
    • Over 2.5 goals44%
    • Marko Seufatu Nikola Stamenić to score22%
    • Jay Fulton to be booked24%

    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

    No odds available yet.

    Statistics

    Head-to-head

    4 matches
    Portsmouth 1Draw 1Swansea City 2
    Goals: 7–5 (⌀ 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).

    Portsmouth
    Swansea City
    When goals are scored and conceded — 2026
    Portsmouth (16–15)
    Swansea City (16–13)
    Pass networks

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

    Portsmouth
    Regan Poole: 238 passningar, xT 0.34PooleMadiodio Dia: 198 passningar, xT 0.19DiaMarlon Pack: 190 passningar, xT 0.15PackNicolas Schmid: 177 passningar, xT 0.4SchmidJayden Meghoma: 121 passningar, xT 0.26MeghomaZak Swanson: 113 passningar, xT 0.12SwansonIyad Inomse M'Vourani Mohamed: 102 passningar, xT -0.01MohamedTerry Devlin: 82 passningar, xT 0.1DevlinEbou Adams: 70 passningar, xT -0.05AdamsAdrian Segecic: 64 passningar, xT -0.07SegecicAbu Bakarr Kamara: 58 passningar, xT 0.19Kamara
    Swansea City
    Ben Cabango: 333 passningar, xT 0.41CabangoStephen Welsh: 272 passningar, xT 0.42WelshJosh Tymon: 200 passningar, xT 0.65TymonFilip Lissah: 200 passningar, xT 0.16LissahMarko Seufatu Nikola Stamenić: 190 passningar, xT 0.32StamenićLawrence Vigouroux: 173 passningar, xT 0.09VigourouxJay Fulton: 133 passningar, xT 0.07FultonStephen Antunes Eustaquio: 113 passningar, xT 0.13EustaquioViktor Melker Widell: 108 passningar, xT 0.46WidellGoncalo Franco: 80 passningar, xT 0.43FrancoMoussa Kounfolo Yeo: 80 passningar, xT 0.46Yeo
    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.

    Portsmouth
    Regan Poole: 238 passningar, xT 0.34PooleMadiodio Dia: 198 passningar, xT 0.19DiaMarlon Pack: 190 passningar, xT 0.15PackNicolas Schmid: 177 passningar, xT 0.4SchmidJayden Meghoma: 121 passningar, xT 0.26MeghomaZak Swanson: 113 passningar, xT 0.12SwansonIyad Inomse M'Vourani Mohamed: 102 passningar, xT -0.01MohamedTerry Devlin: 82 passningar, xT 0.1DevlinEbou Adams: 70 passningar, xT -0.05AdamsAdrian Segecic: 64 passningar, xT -0.07SegecicAbu Bakarr Kamara: 58 passningar, xT 0.19Kamara
    Swansea City
    Ben Cabango: 333 passningar, xT 0.41CabangoStephen Welsh: 272 passningar, xT 0.42WelshJosh Tymon: 200 passningar, xT 0.65TymonFilip Lissah: 200 passningar, xT 0.16LissahMarko Seufatu Nikola Stamenić: 190 passningar, xT 0.32StamenićLawrence Vigouroux: 173 passningar, xT 0.09VigourouxJay Fulton: 133 passningar, xT 0.07FultonStephen Antunes Eustaquio: 113 passningar, xT 0.13EustaquioViktor Melker Widell: 108 passningar, xT 0.46WidellGoncalo Franco: 80 passningar, xT 0.43FrancoMoussa Kounfolo Yeo: 80 passningar, xT 0.46Yeo

    The teams in numbers

    PerformancePortsmouthSwansea City
    Points1823
    xPoints17.114.8
    xG per match1.31.3
    xGA per match1.11.3
    xG within 8s of winning the ball0.210.22
    xGA within 8s of losing the ball0.180.23
    Playing stylePortsmouthSwansea City
    Build-up efficiency0.350.27
    Field tilt0.550.62
    xT per match0.820.97
    xTA per match0.80.81
    Won balls, offensive half2527
    Pressing intensity0.230.22
    Pressing efficiency0.350.36
    Pressing efficiency, offensive half0.340.35
    Entries into the box per match1212
    Entries into the box against1113
    Pass completion %0.720.78
    Pass completion % under pressure0.670.74
    Passes per match307447
    Passes against per match272274
    Switches of play per match27.926.3
    Long balls per match3429
    Set piecesPortsmouthSwansea City
    xG from free kicks0.060.11
    Corners per match5.84.3
    Corners against per match4.74.7
    xG per corner0.030.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.370.5
    First touch, defensive corners %0.60.52
    OtherPortsmouthSwansea City
    Throw-in control0.740.72
    The goalkeepersNicolas Schmid (Portsmouth)Lawrence Vigouroux (Swansea City)
    Saves1529
    Save %58%69%
    xG prevented31%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Portsmouth spelschemaSwansea City spelschema

    Frequently asked questions

    Who wins Portsmouth vs Swansea City according to our model?

    The model gives Portsmouth a 41% win probability. Full 1X2 picture: Portsmouth 41%, draw 33%, Swansea City 26%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

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

    Will both teams score?

    The probability of both teams scoring is 49% according to the model.

    How many goals are expected in Portsmouth vs Swansea City?

    The model expects 1.28 goals (xG) for Portsmouth and 1.13 for Swansea City, 2.42 in total.

    What does the model say about double chance?

    Portsmouth or draw (1X) 74%, Swansea City or draw (X2) 59% and no draw (12) 67%.

    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.