EFL League TwoNew York Stadium, Rotherham11°1,1 mm23 km/h

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    Rotherham UnitedRotherham UnitedPossession control
    vs
    GillinghamGillinghamCounter-attacks & crosses
    The model's lean: 1 · Rotherham United (50%)Best value by the model: X · Draw @ 3.55 (+1 %)

    Rotherham United vs Gillingham · EFL League Two

    1 · Rotherham United 50%X 29%22% Gillingham · 2

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    Analysis: Rotherham United – Gillingham

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

    A small sample size of head-to-head encounters offers limited insight, leaving us to focus on current form and expected goals as Rotherham United hosts Gillingham. The home side has been backed by the model with a 50% probability of winning, emphasizing their defensive solidity and possession control, which contrasts with Gillingham's counter-attacking and crossing style.

    Despite Gillingham holding a slight points advantage in the league table, Rotherham's expected points tell a different story, favoring them at 12.9 compared to Gillingham’s 11.0. The hosts seem more efficient in creating and denying chances, with an xG per match of 1.3 against Gillingham’s 1.1, and a superior defensive metric of 1.0 xGA versus Gillingham’s 1.4. These stats underline Rotherham's potential to control the game and limit Gillingham's opportunities, particularly given the damp conditions expected.

    The most likely scorelines reinforce a low-scoring narrative, with both 1-0 and 1-1 sitting at 12% probability each. The rain might further dampen attacking flair, suppressing the likelihood of a high-scoring affair, which aligns with the model's 47% chance of over 2.5 goals and suggests a lean towards under. Both teams to score nearly breaks even at 49%, but defensive discipline from Rotherham could edge Gillingham out.

    For bettors seeking value, Bet365 offers Rotherham to win at odds of 2.00, which aligns remarkably with the model’s probability, suggesting a potential edge. While not a guarantee, a focused play on Rotherham’s win, coupled with an under 2.5 goals bet, could offer a well-balanced approach to this League Two clash — perhaps not thrilling, but precisely the kind of careful wager that pays the bills.

    Rotherham UnitedRotherham United
    Form DLDWD
    League ranking xG #9xGA #2xT #18xP/match #4Points #16
    Key players
    • Paul Philip MullinFxG 0.48 · xT 0.04
    • Thomas William BradshawFxG 0.59 · xT 0.00
    • Fábio André Tavares DesidérioFxG 0.24 · xT -0.01
    GillinghamGillingham
    Form DWWWL
    League ranking xG #16xGA #15xT #17xP/match #14Points #7
    Key players
    • William Neil GoodwinFxG 0.39 · xT 0.10
    • Ronan Aiden Connolly Shea Chapman HaleLWxG 0.23 · xT 0.00
    • James Robert BrophyLWxG 0.12 · xT 0.08

    Match prediction: Rotherham United – Gillingham

    Predicted score matrix

    Gillingham →
    Rotherham United →
    0
    1
    2
    3
    4+
    0
    0–08.3%
    0–17.1%
    0–23.5%
    0–31.1%
    0–4+0.3%
    1
    1–012.3%
    1–112.2%
    1–25.6%
    1–31.8%
    1–4+0.5%
    2
    2–010.1%
    2–19.5%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–05.3%
    3–15.0%
    3–22.4%
    3–30.7%
    3–4+0.2%
    4+
    4+–03.0%
    4+–12.9%
    4+–21.3%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-012%
    2. 2.1-112%
    3. 3.2-010%
    4. 4.2-19%
    5. 5.0-08%
    Expected goals
    1,59–0,94
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,553%
    @1.80
    Over 2,547%
    @1.98

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Rotherham United to win50%
    • Under 3.5 goals75%

    Combined probability

    37%

    Fair odds

    2.69

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

    02 · 3 legs

    Balanced

    • Rotherham United to win50%
    • Under 2.5 goals53%
    • Brandon Ashley Cover to score24%

    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 score49%
    • Over 2.5 goals47%
    • Brandon Ashley Cover to score24%
    • 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+).

    • X · Draw29% probability@3.55LeoVegasEV+1%reference odds
    Bookmaker1 · Rotherham UnitedX2 · Gillingham
    Betsafe1.853.404.10
    LeoVegas1.80
    EV+ 1%
    3.55
    4.00
    Nordicbet1.853.404.10

    Odds updated 4 Oct, 00:36

    Odds movement

    10 %
    54 %49 %

    1.80 → 1.80

    X+1 %
    29 %24 %

    3.50 → 3.55

    2-2 %
    25 %20 %

    4.10 → 4.00

    Over 2,50 %
    51 %46 %

    1.91 → 1.91

    LeoVegas · 4 recorded price levels · 03/10/2026 → 03/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Rotherham United
    Gillingham
    When goals are scored and conceded — 2026
    Rotherham United (11–11)
    Gillingham (11–9)
    Pass networks

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

    Rotherham United
    Sonny Aljofree: 204 passningar, xT 0.31AljofreeDenzel Hall: 173 passningar, xT 0.45HallJosh Austerfield: 151 passningar, xT 0.29AusterfieldEwan Otoo: 130 passningar, xT 0.57OtooBrandon Ashley Cover: 98 passningar, xT 0.19CoverOssama Wassim Ashley: 91 passningar, xT 0.2AshleyJili Buyabu: 76 passningar, xT 0.23BuyabuDominic Iorfa: 64 passningar, xT 0IorfaJulian Ryan Eyestone: 61 passningar, xT 0.1EyestoneKian Alec Spence: 55 passningar, xT -0.06SpenceJayce John Fitzgerald: 53 passningar, xT 0.07Fitzgerald
    Gillingham
    Omar Jerome Beckles: 158 passningar, xT 0.1BecklesOliver Lennon George Wright: 146 passningar, xT 0.19WrightJames Robert Brophy: 139 passningar, xT 0.41BrophyNicholas Scott Edward Freeman: 132 passningar, xT 0.51FreemanAndy Smith: 124 passningar, xT 0.17SmithLogan Dobbs: 114 passningar, xT 0.24DobbsEli Josef King: 82 passningar, xT 0.2KingRonan Aiden Connolly Shea Chapman Hale: 65 passningar, xT 0.1HaleRobbie Mckenzie: 65 passningar, xT -0.03MckenzieHarry Waldock: 54 passningar, xT 0.36WaldockConor McManus: 52 passningar, xT 0.33McManus
    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.

    Rotherham United
    Sonny Aljofree: 204 passningar, xT 0.31AljofreeDenzel Hall: 173 passningar, xT 0.45HallJosh Austerfield: 151 passningar, xT 0.29AusterfieldEwan Otoo: 130 passningar, xT 0.57OtooBrandon Ashley Cover: 98 passningar, xT 0.19CoverOssama Wassim Ashley: 91 passningar, xT 0.2AshleyJili Buyabu: 76 passningar, xT 0.23BuyabuDominic Iorfa: 64 passningar, xT 0IorfaJulian Ryan Eyestone: 61 passningar, xT 0.1EyestoneKian Alec Spence: 55 passningar, xT -0.06SpenceJayce John Fitzgerald: 53 passningar, xT 0.07Fitzgerald
    Gillingham
    Omar Jerome Beckles: 158 passningar, xT 0.1BecklesOliver Lennon George Wright: 146 passningar, xT 0.19WrightJames Robert Brophy: 139 passningar, xT 0.41BrophyNicholas Scott Edward Freeman: 132 passningar, xT 0.51FreemanAndy Smith: 124 passningar, xT 0.17SmithLogan Dobbs: 114 passningar, xT 0.24DobbsEli Josef King: 82 passningar, xT 0.2KingRonan Aiden Connolly Shea Chapman Hale: 65 passningar, xT 0.1HaleRobbie Mckenzie: 65 passningar, xT -0.03MckenzieHarry Waldock: 54 passningar, xT 0.36WaldockConor McManus: 52 passningar, xT 0.33McManus

    The teams in numbers

    PerformanceRotherham UnitedGillingham
    Points1012
    xPoints12.911
    xG per match1.31.1
    xGA per match11.4
    xG within 8s of winning the ball0.160.36
    xGA within 8s of losing the ball0.190.2
    Playing styleRotherham UnitedGillingham
    Build-up efficiency0.350.33
    Field tilt0.520.4
    xT per match0.690.79
    xTA per match0.740.91
    Won balls, offensive half2523
    Pressing intensity0.220.25
    Pressing efficiency0.390.32
    Pressing efficiency, offensive half0.360.31
    Entries into the box per match108
    Entries into the box against1213
    Pass completion %0.650.63
    Pass completion % under pressure0.660.58
    Passes per match279236
    Passes against per match277332
    Switches of play per match20.915.8
    Long balls per match2829
    Set piecesRotherham UnitedGillingham
    xG from free kicks0.030.07
    Corners per match43.6
    Corners against per match4.55.8
    xG per corner0.010.02
    xGA per corner against0.020.03
    First touch, offensive corners %0.230.45
    First touch, defensive corners %0.580.61
    OtherRotherham UnitedGillingham
    Throw-in control0.750.71
    The goalkeepersTed Cann (Rotherham United)Oliver Lennon George Wright (Gillingham)
    Saves1219
    Save %63%86%
    xG prevented39%90%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rotherham United vs Gillingham according to our model?

    The model gives Rotherham United a 50% win probability. Full 1X2 picture: Rotherham United 50%, draw 29%, Gillingham 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 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 49% 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.