EFL League TwoLNER Community Stadium, York14°18 km/h

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    York CityYork CityPossession control
    vs
    GillinghamGillinghamCounter-attacks & crosses
    The model's lean: 1 · York City (69%)

    York City vs Gillingham · EFL League Two

    1 · York City 69%X 19%12% Gillingham · 2

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    Analysis: York City – Gillingham

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

    TEXT: With the model giving York City a hefty 69% win probability, this match points toward a dominant performance from the hosts. Despite Gillingham riding a three-game winning streak, their style of counterattacking and crossing may struggle against York's possession-oriented approach. The most likely scoreline, a 2-0 victory for York, reflects the expected control they should exert over the match.

    In terms of expected goals, York's 2.38 against Gillingham's 0.79 underscores a significant offensive edge. With York generating an impressive 2.0 xG per match compared to Gillingham’s 1.1, the hosts have consistently posed more threat in attack. Even defensively, York has a slight edge with an xGA of 1.3 versus Gillingham’s 1.4, suggesting that York's backline could handle the visitors' attacks with relative ease.

    While Gillingham’s recent form is commendable, the statistical realities of this season favor York. York’s combination of possession control and defensive solidity appears well-suited to contain Gillingham's counter-punching tactics. The over 2.5 goals probability stands at 61%, but the expected control from the hosts suggests a disciplined performance rather than a free-scoring affair.

    For bettors, there's tangible value in backing York at odds of 1.5 with Betsafe, Betsson, or Nordicbet, where the model’s 69% rating yields a 3% edge. This calculated play aligns with the numbers and York's anticipated dominance on the pitch, offering a grounded opportunity to capitalize on the hosts' superiority in this fixture.

    York CityYork City
    Form WLDWL
    League ranking xG #1xGA #11xT #1xP/match #12Points #4
    Key players
    • Oliver Ian BanksCMxG 0.07 · xT 0.21
    • Harry BoyesLWxG 0.25 · xT 0.27
    • Alexander John HuntCAMxG 0.14 · xT 0.08
    GillinghamGillingham
    Form DDWWW
    League ranking xG #17xGA #14xT #16xP/match #15Points #11
    Key players
    • Ronan Aiden Connolly Shea Chapman HaleFxG 0.25 · xT 0.01
    • James Robert BrophyFxG 0.15 · xT 0.10
    • William Neil GoodwinFxG 0.38 · xT 0.00

    Match prediction: York City – Gillingham

    Predicted score matrix

    Gillingham →
    York City →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–13.1%
    0–21.3%
    0–30.3%
    0–4+0.1%
    1
    1–09.8%
    1–18.1%
    1–23.1%
    1–30.8%
    1–4+0.2%
    2
    2–011.9%
    2–19.4%
    2–23.7%
    2–31.0%
    2–4+0.2%
    3
    3–09.4%
    3–17.4%
    3–22.9%
    3–30.8%
    3–4+0.2%
    4+
    4+–09.8%
    4+–17.8%
    4+–23.1%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-012%
    2. 2.1-010%
    3. 3.3-09%
    4. 4.2-19%
    5. 5.1-18%
    Expected goals
    2,38–0,79
    Both teams to score
    50%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.32
    Over 2,561%
    @1.55

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • York City to win69%
    • Over 1.5 goals83%

    Combined probability

    63%

    Fair odds

    1.60

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

    02 · 3 legs

    Balanced

    • York City to win69%
    • Over 2.5 goals61%
    • Olliver Robert Pearce to score40%

    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 goals61%
    • Olliver Robert Pearce to score40%
    • Armani George Little to be booked18%

    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 · York City69% probability@1.56PinnacleEV+7%reference odds
    • 1 · York City69% probability@1.52BetsafeEV+5%reference odds
    • 1 · York City69% probability@1.52BetssonEV+5%reference odds
    Bookmaker1 · York CityX2 · Gillingham
    Betsafe
    EV+ 5%
    1.52
    4.055.40
    Betsson
    EV+ 5%
    1.52
    4.055.40
    Nordicbet
    EV+ 5%
    1.52
    4.055.40
    Pinnacle
    EV+ 7%
    1.56
    4.555.02

    Odds updated 25 Sept, 16:24

    Odds movement

    1+4 %
    64 %59 %

    1.50 → 1.56

    X-6 %
    23 %18 %

    4.85 → 4.55

    2-1 %
    21 %16 %

    5.05 → 5.02

    Pinnacle · 10 recorded price levels · 20/09/2026 → 25/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Gillingham come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    York City
    Gillingham
    When goals are scored and conceded — 2026
    York City (13–10)
    Gillingham (11–6)
    Pass networks

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

    York City
    Oliver Ian Banks: 300 passningar, xT 0.94BanksMark Stephen Kitching: 273 passningar, xT 0.61KitchingRyan Jack Glenn Fallowfield: 234 passningar, xT 0.49FallowfieldAlexander John Hunt: 229 passningar, xT 0.21HuntMorgan Gerald Williams: 212 passningar, xT 0.2WilliamsAlfie Shane McNally: 178 passningar, xT 0.31McNallyHarry Boyes: 148 passningar, xT 0.84BoyesZak Robert Johnson: 129 passningar, xT 0.07JohnsonAlexander Lewis Newby: 128 passningar, xT 0.19NewbyJoseph Grey: 114 passningar, xT 0.32GreyJeff King: 112 passningar, xT 0.58King
    Gillingham
    Omar Jerome Beckles: 176 passningar, xT 0.15BecklesJames Robert Brophy: 152 passningar, xT 0.31BrophyAndy Smith: 149 passningar, xT 0.3SmithNicholas Scott Edward Freeman: 138 passningar, xT 0.9FreemanLogan Dobbs: 138 passningar, xT 0.29DobbsOliver Lennon George Wright: 134 passningar, xT 0.26WrightEli Josef King: 71 passningar, xT 0.12KingRonan Aiden Connolly Shea Chapman Hale: 68 passningar, xT 0.08HaleConor McManus: 64 passningar, xT 0.33McManusRobbie Mckenzie: 62 passningar, xT -0.01MckenzieHarry Waldock: 58 passningar, xT 0.36Waldock
    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: 300 passningar, xT 0.94BanksMark Stephen Kitching: 273 passningar, xT 0.61KitchingRyan Jack Glenn Fallowfield: 234 passningar, xT 0.49FallowfieldAlexander John Hunt: 229 passningar, xT 0.21HuntMorgan Gerald Williams: 212 passningar, xT 0.2WilliamsAlfie Shane McNally: 178 passningar, xT 0.31McNallyHarry Boyes: 148 passningar, xT 0.84BoyesZak Robert Johnson: 129 passningar, xT 0.07JohnsonAlexander Lewis Newby: 128 passningar, xT 0.19NewbyJoseph Grey: 114 passningar, xT 0.32GreyJeff King: 112 passningar, xT 0.58King
    Gillingham
    Omar Jerome Beckles: 176 passningar, xT 0.15BecklesJames Robert Brophy: 152 passningar, xT 0.31BrophyAndy Smith: 149 passningar, xT 0.3SmithNicholas Scott Edward Freeman: 138 passningar, xT 0.9FreemanLogan Dobbs: 138 passningar, xT 0.29DobbsOliver Lennon George Wright: 134 passningar, xT 0.26WrightEli Josef King: 71 passningar, xT 0.12KingRonan Aiden Connolly Shea Chapman Hale: 68 passningar, xT 0.08HaleConor McManus: 64 passningar, xT 0.33McManusRobbie Mckenzie: 62 passningar, xT -0.01MckenzieHarry Waldock: 58 passningar, xT 0.36Waldock

    The teams in numbers

    PerformanceYork CityGillingham
    Points119
    xPoints8.38
    xG per match21.1
    xGA per match1.31.4
    xG within 8s of winning the ball0.210.2
    xGA within 8s of losing the ball0.210.23
    Playing styleYork CityGillingham
    Build-up efficiency0.360.34
    Field tilt0.650.41
    xT per match1.40.81
    xTA per match0.740.68
    Won balls, offensive half2126
    Pressing intensity0.220.24
    Pressing efficiency0.350.31
    Pressing efficiency, offensive half0.370.31
    Entries into the box per match159
    Entries into the box against1114
    Pass completion %0.790.64
    Pass completion % under pressure0.740.57
    Passes per match477239
    Passes against per match229332
    Switches of play per match29.116.4
    Long balls per match3533
    Set piecesYork CityGillingham
    xG from free kicks0.030.09
    Corners per match7.14.2
    Corners against per match4.47
    xG per corner0.040.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.330.48
    First touch, defensive corners %0.50.59
    OtherYork CityGillingham
    Throw-in control0.810.68
    The goalkeepersAlfie Shane McNally (York City)Oliver Lennon George Wright (Gillingham)
    Saves1916
    Save %66%84%
    xG prevented51%87%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins York City vs Gillingham according to our model?

    The model gives York City a 69% win probability. Full 1X2 picture: York City 69%, draw 19%, Gillingham 12%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    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.