EFL League TwoLNER Community Stadium, York16°2,7 mm27 km/h

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    York CityYork CityPossession control
    vs
    Swindon TownSwindon TownPossession control
    The model's lean: 1 · York City (53%)Best value by the model: 2 · Swindon Town @ 4.99 (+9 %)

    York CitySwindon Town · EFL League Two

    1 · York City 53%X 25%22% Swindon Town · 2

    Analysis: York CitySwindon Town

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

    TEXT:

    York City and Swindon Town's underlying numbers provide more insight into this fixture than any historical head-to-head record. The model firmly leans towards the hosts with a 53% win probability, suggesting that York's ability to generate high expected goals could prove decisive against Swindon's more modest attacking output.

    Despite the hosts sitting two points behind in the league table, their performance metrics tell a different story. York's xG of 1.8 per match significantly outshines Swindon's 1.1, indicating a more potent attack. Moreover, York's xGA (expected goals against) is slightly better at 1.4 compared to Swindon's 1.6, suggesting they might endure less defensive pressure. This combination of efficient attack and solid defense makes York an attractive prospect for this fixture.

    The match's goal forecast leans heavily towards over 2.5 goals, with a 63% probability. Both sides employ possession-control strategies, which often translate into higher-scoring games when defenses are somewhat vulnerable. The high likelihood of both teams scoring (62%) further supports the expectation of an open and attacking contest.

    The most intriguing betting angle lies with Swindon's odds. Despite being the underdog, the visitors offer value at odds of 4.9 with Betsafe, Betsson, and Nordicbet, offering an 8% edge based on the model's 22% win rate estimate. While York is the more likely victor, the potential return on Swindon's win is compelling for those seeking value bets.

    York CityYork City
    Form WDWLD
    League ranking xG #3xGA #14xT #1xP/match #19Points #9
    Key players
    • Oliver Ian BanksCMxG 0.05 · xT 0.22
    • Harry BoyesLWxG 0.30 · xT 0.31
    • Alexander John HuntCAMxG 0.15 · xT 0.11
    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: York CitySwindon Town

    Predicted score matrix

    Swindon Town
    York City
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–14.5%
    0–23.0%
    0–31.3%
    0–4+0.5%
    1
    1–07.4%
    1–19.9%
    1–26.1%
    1–32.5%
    1–4+1.1%
    2
    2–07.7%
    2–19.7%
    2–26.1%
    2–32.6%
    2–4+1.1%
    3
    3–05.1%
    3–16.5%
    3–24.1%
    3–31.7%
    3–4+0.7%
    4+
    4+–04.1%
    4+–15.2%
    4+–23.2%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-08%
    4. 4.1-07%
    5. 5.3-16%
    Expected goals
    2,011,26
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    @2.28
    Over 2,563%
    @1.58EV+0%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • York City to win53%
    • Over 1.5 goals84%

    Combined probability

    47%

    Fair odds

    2.13

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

    02 · 3 legs

    Balanced

    • York City to win53%
    • Over 2.5 goals63%
    • Alexander Lewis Newby to score25%

    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 score62%
    • Over 2.5 goals63%
    • Alexander Lewis Newby to score25%
    • Stephan Negru to be booked21%

    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+).

    • 2 · Swindon Town22% probability@4.99PinnacleEV+9%reference odds
    • 2 · Swindon Town22% probability@4.90BetsafeEV+8%reference odds
    • 2 · Swindon Town22% probability@4.90BetssonEV+8%reference odds
    Bookmaker1 · York CityX2 · Swindon Town
    Betsafe1.623.85
    EV+ 8%
    4.90
    Betsson1.623.85
    EV+ 8%
    4.90
    Nordicbet1.623.85
    EV+ 8%
    4.90
    Pinnacle1.60
    EV+ 5%
    4.27
    EV+ 9%
    4.99

    Odds updated 11 Sept, 16:38

    Odds movement

    1-2 %
    61 %56 %

    1.631.60

    X+5 %
    25 %20 %

    4.064.27

    2+7 %
    22 %17 %

    4.684.99

    Pinnacle · 6 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    York City
    Swindon Town
    When goals are scored and conceded 2026
    York City (98)
    Swindon Town (86)
    Pass networks

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

    York City
    Oliver Ian Banks: 310 passningar, xT 1.04BanksMorgan Gerald Williams: 295 passningar, xT 0.37WilliamsMark Stephen Kitching: 281 passningar, xT 0.56KitchingAlexander John Hunt: 242 passningar, xT 0.25HuntRyan Jack Glenn Fallowfield: 192 passningar, xT 0.34FallowfieldAlfie Shane McNally: 177 passningar, xT 0.34McNallyHarry Boyes: 158 passningar, xT 1.26BoyesJoseph Grey: 137 passningar, xT 0.67GreyAlexander Lewis Newby: 119 passningar, xT 0.24NewbyJoseph Rabole Felix: 117 passningar, xT 0.21FelixZak Robert Johnson: 106 passningar, xT 0.09Johnson
    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.

    York City
    Oliver Ian Banks: 310 passningar, xT 1.04BanksMorgan Gerald Williams: 295 passningar, xT 0.37WilliamsMark Stephen Kitching: 281 passningar, xT 0.56KitchingAlexander John Hunt: 242 passningar, xT 0.25HuntRyan Jack Glenn Fallowfield: 192 passningar, xT 0.34FallowfieldAlfie Shane McNally: 177 passningar, xT 0.34McNallyHarry Boyes: 158 passningar, xT 1.26BoyesJoseph Grey: 137 passningar, xT 0.67GreyAlexander Lewis Newby: 119 passningar, xT 0.24NewbyJoseph Rabole Felix: 117 passningar, xT 0.21FelixZak Robert Johnson: 106 passningar, xT 0.09Johnson
    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

    PerformanceYork CitySwindon Town
    Points810
    xPoints5.96.8
    xG per match1.81.1
    xGA per match1.41.6
    xG within 8s of winning the ball0.20.09
    xGA within 8s of losing the ball0.230.35
    Playing styleYork CitySwindon Town
    Build-up efficiency0.40.32
    Field tilt0.650.38
    xT per match1.40.46
    xTA per match0.740.99
    Won balls, offensive half2227
    Pressing intensity0.220.22
    Pressing efficiency0.340.38
    Pressing efficiency, offensive half0.350.35
    Entries into the box per match169
    Entries into the box against1116
    Pass completion %0.790.62
    Pass completion % under pressure0.740.6
    Passes per match477236
    Passes against per match236297
    Switches of play per match30.222.2
    Long balls per match3536
    Set piecesYork CitySwindon Town
    xG from free kicks0.040.01
    Corners per match7.34.2
    Corners against per match5.17.9
    xG per corner0.040.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.360.38
    First touch, defensive corners %0.480.49
    OtherYork CitySwindon Town
    Throw-in control0.840.76
    The goalkeepersAlfie Shane McNally (York City)Connor Ripley (Swindon Town)
    Saves920
    Save %53%77%
    xG prevented45%58%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives York City a 53% win probability. Full 1X2 picture: York City 53%, draw 25%, Swindon Town 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.