EFL League TwoSpotland, Rochdale13°21,4 mm18 km/h

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    RochdaleRochdalePossession control
    vs
    Swindon TownSwindon TownPossession control
    The model's lean: 1 · Rochdale (50%)

    Rochdale vs Swindon Town · EFL League Two

    1 · Rochdale 50%X 27%23% Swindon Town · 2

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    Analysis: Rochdale – Swindon Town

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    A clash of styles in possession control marks the match between Rochdale and Swindon Town, with the home side narrowly favored by the model at 50% to win. Despite Rochdale's lean advantage, Swindon edges in actual points, having collected 10 to the home side's 7. Similarly, the visitors' expected points (xPoints) of 7.2 slightly outshine Rochdale's 6.1. As the analysis reveals, the tension lies less in raw performance and more in execution of control—a critical edge for the hosts.

    The expected goals (xG) underscore Swindon's more potent attack, registering an average of 1.0 per match compared to Rochdale’s meager 0.71. Meanwhile, defensively, Rochdale has somewhat better figures, allowing 1.6 expected goals against (xGA), which betters Swindon's 1.8. This hints at a marginal defensive solidity that could be decisive in a tactical duel where control is shared.

    The most likely scorelines are a testament to a tight encounter: both 1-1 and 1-0 are given equal weighting at 12%, suggesting a low-scoring affair. The over/under 2.5 goals probability lands at 47%, tilting towards the under. With both teams embracing possession, a high-scoring game is less probable, with balance more likely to be maintained in the middle of the park.

    Despite the small head-to-head sample, Rochdale's home advantage, combined with Swindon Town's slightly more effective attack, points to an intriguing 1-1 draw, a scenario encapsulated by the 50% chance of both teams finding the net. The model’s inclination towards a Rochdale win at 50% is counterbalanced by Swindon’s sharper offensive metrics, making a wager on the draw appealing.

    For those seeking value, the odds for a draw at select bookmakers could present an edge, assuming the market underestimates the parity suggested by the numbers. With the statistical forecast's clarity, a cautious play on a drawn encounter might just keep the lights on.

    RochdaleRochdale
    Form LWLDW
    League ranking xG #23xGA #19xT #22xP/match #24Points #16
    Key players
    • Daniel Thomas MossLBxG 0.14 · xT 0.13
    • Luke James HannantRWxG 0.19 · xT 0.05
    • Ryan Henry EastCMxG 0.07 · xT 0.17
    Swindon TownSwindon Town
    Form LWWLL
    League ranking xG #21xGA #24xT #23xP/match #17Points #9
    Key players
    • Aaron John DrinanFxG 0.60 · xT 0.02
    • Ben MiddlemasLWxG 0.03 · xT 0.06
    • Matthew Joseph Virtue-ThickCMxG 0.10 · xT 0.01

    Match prediction: Rochdale – Swindon Town

    Predicted score matrix

    Swindon Town →
    Rochdale →
    0
    1
    2
    3
    4+
    0
    0–08.0%
    0–17.0%
    0–23.6%
    0–31.2%
    0–4+0.3%
    1
    1–011.9%
    1–112.2%
    1–25.8%
    1–31.9%
    1–4+0.6%
    2
    2–09.8%
    2–19.5%
    2–24.6%
    2–31.5%
    2–4+0.4%
    3
    3–05.2%
    3–15.1%
    3–22.5%
    3–30.8%
    3–4+0.2%
    4+
    4+–03.0%
    4+–12.9%
    4+–21.4%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-012%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-08%
    Expected goals
    1,60–0,97
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,6
    Under 2,553%
    –
    Over 2,547%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Rochdale to win50%
    • Under 3.5 goals74%

    Combined probability

    36%

    Fair odds

    2.74

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

    02 · 3 legs

    Balanced

    • Rochdale to win50%
    • Under 2.5 goals53%
    • Dajaune Anthony Brown to score21%

    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 score50%
    • Over 2.5 goals47%
    • Aaron John Drinan to score23%
    • Oliver Anthony Clarke 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

    xG & xGA per match — 3-game rolling average

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

    Rochdale
    Swindon Town
    When goals are scored and conceded — 2026
    Rochdale (7–10)
    Swindon Town (8–11)
    Pass networks

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

    Rochdale
    Kaiden Carlton Anthony Wilson: 218 passningar, xT 0.17WilsonDaniel Thomas Moss: 215 passningar, xT 0.59MossNils Ramming: 174 passningar, xT 0.27RammingBabajide Ezekiel Adeeko: 130 passningar, xT -0.02AdeekoEdward Albert Francis: 110 passningar, xT -0.01FrancisCharlie Tasker: 103 passningar, xT 0.36TaskerKane Taylor: 95 passningar, xT 0.3TaylorHarvey James Gilmour: 93 passningar, xT -0.07GilmourLuke James Hannant: 69 passningar, xT 0.17HannantOlutobi Adebayo-Rowling: 67 passningar, xT 0.12Adebayo-RowlingEthan Reid Ebanks-Landell: 66 passningar, xT -0.01Ebanks-Landell
    Swindon Town
    Connor Ripley: 126 passningar, xT 0.34RipleyJack Thomson: 114 passningar, xT 0.29ThomsonStephan Negru: 113 passningar, xT 0.21NegruDaniel Butler: 86 passningar, xT 0.13ButlerKaelan Andrew Moore Majekodunmi: 86 passningar, xT 0.01MajekodunmiMitchell Reece Clark: 86 passningar, xT 0.02ClarkAaron John Drinan: 61 passningar, xT 0DrinanAnthony Junior Munda: 53 passningar, xT 0.07MundaOllie Clarke: 51 passningar, xT 0.01ClarkeBen Middlemas: 46 passningar, xT 0.21MiddlemasRyan Sirous Tafazolli: 44 passningar, xT -0.18Tafazolli
    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.

    Rochdale
    Kaiden Carlton Anthony Wilson: 218 passningar, xT 0.17WilsonDaniel Thomas Moss: 215 passningar, xT 0.59MossNils Ramming: 174 passningar, xT 0.27RammingBabajide Ezekiel Adeeko: 130 passningar, xT -0.02AdeekoEdward Albert Francis: 110 passningar, xT -0.01FrancisCharlie Tasker: 103 passningar, xT 0.36TaskerKane Taylor: 95 passningar, xT 0.3TaylorHarvey James Gilmour: 93 passningar, xT -0.07GilmourLuke James Hannant: 69 passningar, xT 0.17HannantOlutobi Adebayo-Rowling: 67 passningar, xT 0.12Adebayo-RowlingEthan Reid Ebanks-Landell: 66 passningar, xT -0.01Ebanks-Landell
    Swindon Town
    Connor Ripley: 126 passningar, xT 0.34RipleyJack Thomson: 114 passningar, xT 0.29ThomsonStephan Negru: 113 passningar, xT 0.21NegruDaniel Butler: 86 passningar, xT 0.13ButlerKaelan Andrew Moore Majekodunmi: 86 passningar, xT 0.01MajekodunmiMitchell Reece Clark: 86 passningar, xT 0.02ClarkAaron John Drinan: 61 passningar, xT 0DrinanAnthony Junior Munda: 53 passningar, xT 0.07MundaOllie Clarke: 51 passningar, xT 0.01ClarkeBen Middlemas: 46 passningar, xT 0.21MiddlemasRyan Sirous Tafazolli: 44 passningar, xT -0.18Tafazolli

    The teams in numbers

    PerformanceRochdaleSwindon Town
    Points710
    xPoints6.17.2
    xG per match0.711
    xGA per match1.61.8
    xG within 8s of winning the ball0.090.09
    xGA within 8s of losing the ball0.30.33
    Playing styleRochdaleSwindon Town
    Build-up efficiency0.290.32
    Field tilt0.370.38
    xT per match0.620.51
    xTA per match1.21.1
    Won balls, offensive half1628
    Pressing intensity0.220.23
    Pressing efficiency0.290.36
    Pressing efficiency, offensive half0.230.33
    Entries into the box per match79
    Entries into the box against1516
    Pass completion %0.750.63
    Pass completion % under pressure0.70.6
    Passes per match340230
    Passes against per match310327
    Switches of play per match2021.4
    Long balls per match3234
    Set piecesRochdaleSwindon Town
    xG from free kicks0.010.01
    Corners per match3.63.7
    Corners against per match5.67.6
    xG per corner0.030.02
    xGA per corner against0.050.02
    First touch, offensive corners %0.360.36
    First touch, defensive corners %0.560.53
    OtherRochdaleSwindon Town
    Throw-in control0.750.75
    The goalkeepersNils Ramming (Rochdale)Connor Ripley (Swindon Town)
    Saves2130
    Save %68%73%
    xG prevented38%54%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rochdale vs Swindon Town according to our model?

    The model gives Rochdale a 50% win probability. Full 1X2 picture: Rochdale 50%, draw 27%, Swindon Town 23%.

    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 47% and under at 53%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.