EFL League TwoCounty Ground, Swindon16°16 km/h

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    Swindon TownSwindon TownPossession control
    31
    Port ValePort ValePossession control
    The model's lean: 1 · Swindon Town (39%)

    Swindon TownPort Vale · EFL League Two

    1 · Swindon Town 39%X 28%33% Port Vale · 2

    Analysis: Swindon TownPort Vale

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

    Swindon Town enters this matchup with a slight edge in the model probabilities, pegged at 39% to win against Port Vale's 33%, with a draw sitting at 28%. Despite this, the underlying numbers tell a different story. The hosts have managed only 0.46 xG per match, contrasting with the visitors' more robust 1.1 xG. Port Vale also boasts a superior xGA of 1.1 compared to Swindon's concerning 1.7. These figures hint that Port Vale might be more threatening on both ends of the pitch.

    The head-to-head data is limited with only two matches, where Port Vale holds a slight advantage with a win and a draw. Swindon's possession control style mirrors that of Vale, making it a clash of similar strategies. Yet, Port Vale's superior expected points and goals suggest they might exploit Swindon's defensive vulnerabilities. The most likely scoreline according to the model is a 1-1 draw at 13%, but with Port Vale's xG advantage, a narrow 1-0 away win at 9% seems plausible.

    Given the expected goals and the playing styles, leaning towards over 2.5 goals feels reasonable at 46%. There's value on Port Vale, considering their statistical edges in both attack and defense.

    Swindon TownSwindon Town
    Form LLDWL
    League ranking xG #24xGA #21xT #22xP/match #22Points #11
    Key players
    • Aaron John DrinanFxG 0.11 · xT 0.00
    • Mitchell Reece ClarkRWBxG 0.00 · xT 0.06
    • Ben MiddlemasLWxG 0.01 · xT 0.09
    Port ValePort Vale
    Form WLLDD
    League ranking xG #16xGA #7xT #9xP/match #19Points #20
    Key players
    • Modou Lamin FaalFxG 0.49 · xT 0.01
    • Kyle Michael DempseyRWxG 0.00 · xT 0.08
    • Cameron HumphreysCBxG 0.04 · xT 0.04
    Final score
    31
    The model called the outcome
    Predicted probabilities: Swindon Town 39% · Draw 28% · Port Vale 33%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - SwindonBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,68fair 10,95-2 %
    Hit
    Matchresultat - Port ValeBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,71fair 14,21-53 %
    Miss

    Match prediction: Swindon TownPort Vale

    Predicted score matrix

    Port Vale
    Swindon Town
    0
    1
    2
    3
    4+
    0
    0–08.5%
    0–19.1%
    0–25.6%
    0–32.2%
    0–4+0.8%
    1
    1–010.5%
    1–113.1%
    1–27.5%
    1–32.9%
    1–4+1.1%
    2
    2–07.3%
    2–18.5%
    2–25.0%
    2–32.0%
    2–4+0.7%
    3
    3–03.2%
    3–13.8%
    3–22.2%
    3–30.9%
    3–4+0.3%
    4+
    4+–01.5%
    4+–11.7%
    4+–21.0%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.0-19%
    4. 4.2-19%
    5. 5.0-08%
    Expected goals
    1,341,17
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.97EV+4%
    Over 2,546%
    @1.87

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Swindon Town or draw (1X)68%
    • Under 3.5 goals76%

    Combined probability

    51%

    Fair odds

    1.95

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

    02 · 3 legs

    Balanced

    • Double chance Swindon Town or draw (1X)68%
    • Under 2.5 goals54%
    • Oliver James Palmer to score30%

    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 score51%
    • Over 2.5 goals46%
    • Oliver James Palmer to score30%
    • Thomas Andrew Nichols to be booked22%

    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 · Swindon Town39% probability@3.39PinnacleEV+32%reference odds
    • 1 · Swindon Town39% probability@3.35BetsafeEV+30%reference odds
    • 1 · Swindon Town39% probability@3.35BetssonEV+30%reference odds
    Bookmaker1 · Swindon TownX2 · Port Vale
    Betsafe
    EV+ 30%
    3.35
    3.402.08
    Betsson
    EV+ 30%
    3.35
    3.402.08
    Nordicbet
    EV+ 30%
    3.35
    3.402.08
    Pinnacle
    EV+ 32%
    3.39
    EV+ 5%
    3.70
    2.07

    Odds updated 1 Sept, 10:35

    Odds movement

    Market signal

    The market has moved clearly towards an Port Vale win since 30 August — the odds have shortened from 2.62 to 2.07 (−21%).

    1+33 %
    43 %23 %

    2.553.39

    X+7 %
    37 %17 %

    3.453.70

    2-21 %
    51 %31 %

    2.622.07

    Over 2,5-7 %
    59 %39 %

    2.021.87

    Pinnacle · 9 recorded price levels · 30/08/2026 → 01/09/2026 · fixed scale 20 percentage points

    Statistics

    Head-to-head

    2 matches
    Swindon Town 0Draw 1Port Vale 1
    Goals: 45 (⌀ 4,5)

    Head-to-head based on League Two data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Swindon Town
    Port Vale
    When goals are scored and conceded 2026
    Swindon Town (24)
    Port Vale (13)
    Pass networks

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

    Swindon Town
    Mitchell Reece Clark: 108 passningar, xT 0.13ClarkConnor Ripley: 107 passningar, xT 0.26RipleyStephan Negru: 98 passningar, xT 0.34NegruRyan Sirous Tafazolli: 63 passningar, xT 0.03TafazolliKaelan Andrew Moore Majekodunmi: 63 passningar, xT 0.03MajekodunmiBilly Naylor Kirkman: 58 passningar, xT 0.12KirkmanBen Middlemas: 41 passningar, xT 0.17MiddlemasOllie Clarke: 36 passningar, xT -0.01ClarkeTom Nichols: 36 passningar, xT 0.17NicholsAaron John Drinan: 28 passningar, xT 0DrinanOliver James Palmer: 27 passningar, xT 0.01Palmer
    Port Vale
    Cameron Humphreys: 133 passningar, xT 0.1HumphreysLiam Spencer Gordon: 106 passningar, xT 0.23GordonConnor Hall: 102 passningar, xT 0.15HallJordan Lawrence Gabriel: 101 passningar, xT 0.14GabrielKyle Michael Dempsey: 100 passningar, xT 0.25DempseyJackson William Smith: 95 passningar, xT 0.16SmithRhys Walters: 58 passningar, xT -0.07WaltersLewis Lee Montsma: 46 passningar, xT 0.09MontsmaGeorge William Byers: 43 passningar, xT 0.19ByersOnel Lázaro Hernández Mayea: 38 passningar, xT 0.92MayeaJaheim Anthony Headley: 25 passningar, xT 0.01Headley
    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.

    Swindon Town
    Mitchell Reece Clark: 108 passningar, xT 0.13ClarkConnor Ripley: 107 passningar, xT 0.26RipleyStephan Negru: 98 passningar, xT 0.34NegruRyan Sirous Tafazolli: 63 passningar, xT 0.03TafazolliKaelan Andrew Moore Majekodunmi: 63 passningar, xT 0.03MajekodunmiBilly Naylor Kirkman: 58 passningar, xT 0.12KirkmanBen Middlemas: 41 passningar, xT 0.17MiddlemasOllie Clarke: 36 passningar, xT -0.01ClarkeTom Nichols: 36 passningar, xT 0.17NicholsAaron John Drinan: 28 passningar, xT 0DrinanOliver James Palmer: 27 passningar, xT 0.01Palmer
    Port Vale
    Cameron Humphreys: 133 passningar, xT 0.1HumphreysLiam Spencer Gordon: 106 passningar, xT 0.23GordonConnor Hall: 102 passningar, xT 0.15HallJordan Lawrence Gabriel: 101 passningar, xT 0.14GabrielKyle Michael Dempsey: 100 passningar, xT 0.25DempseyJackson William Smith: 95 passningar, xT 0.16SmithRhys Walters: 58 passningar, xT -0.07WaltersLewis Lee Montsma: 46 passningar, xT 0.09MontsmaGeorge William Byers: 43 passningar, xT 0.19ByersOnel Lázaro Hernández Mayea: 38 passningar, xT 0.92MayeaJaheim Anthony Headley: 25 passningar, xT 0.01Headley

    The teams in numbers

    PerformanceSwindon TownPort Vale
    Points42
    xPoints2.53.3
    xG per match0.461.1
    xGA per match1.71.1
    xG within 8s of winning the ball0.020.1
    xGA within 8s of losing the ball0.40.57
    Playing styleSwindon TownPort Vale
    Build-up efficiency0.320.32
    Field tilt0.380.61
    xT per match0.520.97
    xTA per match10.52
    Won balls, offensive half2327
    Pressing intensity0.220.22
    Pressing efficiency0.390.38
    Pressing efficiency, offensive half0.370.39
    Entries into the box per match810
    Entries into the box against168
    Pass completion %0.660.7
    Pass completion % under pressure0.630.67
    Passes per match268312
    Passes against per match296219
    Switches of play per match23.821.1
    Long balls per match3933
    Set piecesSwindon TownPort Vale
    xG from free kicks00.05
    Corners per match2.44.4
    Corners against per match9.81.7
    xG per corner0.020.01
    xGA per corner against0.020
    First touch, offensive corners %0.710.46
    First touch, defensive corners %0.450.8
    OtherSwindon TownPort Vale
    Throw-in control0.740.75
    The goalkeepersConnor Ripley (Swindon Town)Jackson William Smith (Port Vale)
    Saves147
    Save %78%70%
    xG prevented60%26%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Swindon Town vs Port Vale according to our model?

    The model gives Swindon Town a 39% win probability. Full 1X2 picture: Swindon Town 39%, draw 28%, Port Vale 33%.

    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 46% and under at 54%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.