EFL League TwoPeninsula Stadium, Salford13°4,8 mm17 km/h

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    Salford CitySalford CityPossession control
    vs
    Swindon TownSwindon TownPossession control
    The model's lean: 1 · Salford City (55%)

    Salford CitySwindon Town · EFL League Two

    1 · Salford City 55%X 27%18% Swindon Town · 2

    Analysis: Salford CitySwindon Town

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

    Salford City's tactical approach has been clear: control the game through possession. They've used this style effectively in their head-to-head encounters with Swindon Town, winning three and drawing one since 2023. However, despite their historical edge, current data tells a more nuanced story. Swindon have a slight lead in both points and expected points this season, hinting that they might be underestimated by the market.

    Both teams favor possession, which sets the stage for a strategic battle centered around midfield control. Yet, Salford's better defensive numbers, particularly their lower expected goals against (xGA) per match, could be pivotal. Their ability to stifle opponents has been a cornerstone of their recent dominance over Swindon. The model's edge for Salford at 55% to win aligns with this; their defensive solidity gives them an upper hand.

    The weather forecast, with 2.4 mm of rain, might further influence proceedings. The damp conditions are expected to suppress goal-scoring opportunities, which is already reflected in the model's numbers. Low-scoring affairs are common in such scenarios, and with only a 40% probability of over 2.5 goals, the data suggests a cautious approach for those anticipating a high-scoring game.

    Despite Swindon’s slightly better overall form in the league, their defensive vulnerabilities could be exposed by Salford’s structured play. The most probable scoreline sits at a narrow 1-0 victory for the hosts, underlining the expectation of a tight match with limited scoring. For bettors, the value lies in backing Salford City to win at odds of 1.91 (bookmaker unnamed for assessment context), as this aligns with their strong head-to-head record and defensive metrics.

    In essence, while both teams exhibit a possession-based philosophy, Salford's more robust defensive framework suggests they are set to edge this encounter. The sharp angle here points to Salford City clinching a win in a likely low-scoring contest.

    Salford CitySalford City
    Form LLLWW
    League ranking xG #19xGA #9xT #14xP/match #23Points #13
    Key players
    • Adebola OluwoCBxG 0.11 · xT 0.08
    • Joe James PowellCAMxG 0.07 · xT 0.16
    • Ryan GraydonLWxG 0.08 · xT -0.02
    Swindon TownSwindon Town
    Form DWLWW
    League ranking xG #17xGA #20xT #24xP/match #11Points #2
    Key players
    • Aaron John DrinanFxG 0.61 · xT 0.01
    • Ben MiddlemasLWxG 0.02 · xT 0.07
    • Matthew Joseph Virtue-ThickCMxG 0.10 · xT 0.01

    Match prediction: Salford CitySwindon Town

    Predicted score matrix

    Swindon Town
    Salford City
    0
    1
    2
    3
    4+
    0
    0–010.6%
    0–17.4%
    0–23.0%
    0–30.8%
    0–4+0.2%
    1
    1–015.2%
    1–112.2%
    1–24.5%
    1–31.1%
    1–4+0.3%
    2
    2–011.8%
    2–19.0%
    2–23.4%
    2–30.9%
    2–4+0.2%
    3
    3–06.0%
    3–14.5%
    3–21.7%
    3–30.4%
    3–4+0.1%
    4+
    4+–03.2%
    4+–12.4%
    4+–20.9%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-015%
    2. 2.1-112%
    3. 3.2-012%
    4. 4.0-011%
    5. 5.2-19%
    Expected goals
    1,520,76
    Both teams to score
    42%

    Over/under goals

    Expected goals: 2,3
    Under 2,560%
    Over 2,540%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Salford City to win55%
    • Under 3.5 goals80%

    Combined probability

    42%

    Fair odds

    2.39

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

    02 · 3 legs

    Balanced

    • Salford City to win55%
    • Under 2.5 goals60%
    • Macaulay Langstaff to score27%

    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 score42%
    • Over 2.5 goals40%
    • Macaulay Langstaff to score27%
    • Kaelan Andrew Moore Majekodunmi to be booked23%

    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
    Salford City 3Draw 1Swindon Town 0
    Goals: 107 (⌀ 4,2)

    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).

    Salford City
    Swindon Town
    When goals are scored and conceded 2026
    Salford City (46)
    Swindon Town (86)
    Pass networks

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

    Salford City
    Adebola Oluwo: 274 passningar, xT 0.37OluwoWilliam Stewart Aimson: 256 passningar, xT 0.37AimsonJoe James Powell: 182 passningar, xT 0.58PowellWilliam James Norris: 155 passningar, xT 0.16NorrisTaylor Allen: 132 passningar, xT 0.36AllenLuke James Molyneux: 113 passningar, xT 0.75MolyneuxJorge Edward Grant: 91 passningar, xT 0.05GrantBrendan Nana Akwasi Sarpong Wiredu: 90 passningar, xT 0.1WireduOliver Anthony Turton: 87 passningar, xT 0.27TurtonLuke Garbutt: 77 passningar, xT 0.03GarbuttElliot Bonds: 70 passningar, xT 0.22Bonds
    Swindon Town
    Connor Ripley: 146 passningar, xT 0.38RipleyMitchell Reece Clark: 145 passningar, xT 0.14ClarkStephan Negru: 143 passningar, xT 0.37NegruKaelan Andrew Moore Majekodunmi: 88 passningar, xT 0.06MajekodunmiBilly Naylor Kirkman: 75 passningar, xT 0.14KirkmanRyan Sirous Tafazolli: 74 passningar, xT -0.14TafazolliJack Thomson: 66 passningar, xT 0.3ThomsonBen Middlemas: 65 passningar, xT 0.2MiddlemasOllie Clarke: 64 passningar, xT 0ClarkeAaron John Drinan: 51 passningar, xT 0.04DrinanTom Nichols: 42 passningar, xT 0.21Nichols
    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.

    Salford City
    Adebola Oluwo: 274 passningar, xT 0.37OluwoWilliam Stewart Aimson: 256 passningar, xT 0.37AimsonJoe James Powell: 182 passningar, xT 0.58PowellWilliam James Norris: 155 passningar, xT 0.16NorrisTaylor Allen: 132 passningar, xT 0.36AllenLuke James Molyneux: 113 passningar, xT 0.75MolyneuxJorge Edward Grant: 91 passningar, xT 0.05GrantBrendan Nana Akwasi Sarpong Wiredu: 90 passningar, xT 0.1WireduOliver Anthony Turton: 87 passningar, xT 0.27TurtonLuke Garbutt: 77 passningar, xT 0.03GarbuttElliot Bonds: 70 passningar, xT 0.22Bonds
    Swindon Town
    Connor Ripley: 146 passningar, xT 0.38RipleyMitchell Reece Clark: 145 passningar, xT 0.14ClarkStephan Negru: 143 passningar, xT 0.37NegruKaelan Andrew Moore Majekodunmi: 88 passningar, xT 0.06MajekodunmiBilly Naylor Kirkman: 75 passningar, xT 0.14KirkmanRyan Sirous Tafazolli: 74 passningar, xT -0.14TafazolliJack Thomson: 66 passningar, xT 0.3ThomsonBen Middlemas: 65 passningar, xT 0.2MiddlemasOllie Clarke: 64 passningar, xT 0ClarkeAaron John Drinan: 51 passningar, xT 0.04DrinanTom Nichols: 42 passningar, xT 0.21Nichols

    The teams in numbers

    PerformanceSalford CitySwindon Town
    Points610
    xPoints5.16.8
    xG per match11.1
    xGA per match1.21.6
    xG within 8s of winning the ball0.110.09
    xGA within 8s of losing the ball0.480.35
    Playing styleSalford CitySwindon Town
    Build-up efficiency0.370.32
    Field tilt0.650.38
    xT per match0.780.46
    xTA per match0.620.99
    Won balls, offensive half2527
    Pressing intensity0.240.22
    Pressing efficiency0.460.38
    Pressing efficiency, offensive half0.480.35
    Entries into the box per match159
    Entries into the box against1216
    Pass completion %0.720.62
    Pass completion % under pressure0.670.6
    Passes per match372236
    Passes against per match173297
    Switches of play per match23.822.2
    Long balls per match3136
    Set piecesSalford CitySwindon Town
    xG from free kicks0.130.01
    Corners per match5.84.2
    Corners against per match3.67.9
    xG per corner0.010.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.410.38
    First touch, defensive corners %0.560.49
    OtherSalford CitySwindon Town
    Throw-in control0.820.76
    The goalkeepersWilliam James Norris (Salford City)Connor Ripley (Swindon Town)
    Saves1220
    Save %67%77%
    xG prevented36%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Salford City vs Swindon Town according to our model?

    The model gives Salford City a 55% win probability. Full 1X2 picture: Salford City 55%, draw 27%, Swindon Town 18%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 15% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 40% and under at 60%.

    Will both teams score?

    The probability of both teams scoring is 42% 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.