EFL League TwoSpotland, Rochdale14°0,2 mm25 km/h

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    RochdaleRochdalePossession control
    14
    GillinghamGillinghamLow block & direct
    The model's lean: 1 · Rochdale (45%)Best value by the model: Under 2,5 @ 1.89 (+8 %)

    RochdaleGillingham · EFL League Two

    1 · Rochdale 45%X 28%26% Gillingham · 2

    Analysis: RochdaleGillingham

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

    TEXT:

    A striking 45% win probability for Rochdale suggests a slight edge for the hosts, yet the numbers hint at a more nuanced picture. Rochdale's strategy of possession control contrasts sharply with Gillingham's low defensive block and preference for direct play. Despite a modest expected goals statistic of 1.38 for the home team, their defensive acumen, with an expected goals against of 1.4, might just hold the key.

    Gillingham, with a superior xPoints of 4.6 compared to Rochdale's 3.3, appear better on paper, yet their approach tends to suppress goal-scoring opportunities. An xG of 0.89 per match against Rochdale's 0.71 favors them slightly, but the visitors' defensive vulnerabilities could tilt the balance. The key may lie in the rapid transition game, where Gillingham's xG within eight seconds of winning the ball is three times that of the hosts.

    The model leans towards a low-scoring affair, with the 1-1 draw as the most probable outcome at 13%. An under 2.5 goals scenario is credible, given the 43% probability for over. Yet, a tight 1-0 win for Rochdale also lurks.

    RochdaleRochdale
    Form LLLW
    League ranking xG #24xGA #15xT #21xP/match #24Points #19
    Key players
    • Daniel Thomas MossRWxG 0.22 · xT 0.20
    • Luke James HannantFxG 0.21 · xT -0.02
    • Ryan Henry EastCMxG 0.07 · xT 0.17
    GillinghamGillingham
    Form WLDDD
    League ranking xG #21xGA #18xT #13xP/match #17Points #21
    Key players
    • Ronan Aiden Connolly Shea Chapman HaleFxG 0.25 · xT -0.07
    • James Robert BrophyFxG 0.04 · xT 0.06
    • William Neil GoodwinFxG 0.40 · xT 0.00
    Final score
    14
    The model missed the outcome
    Predicted probabilities: Rochdale 45% · Draw 28% · Gillingham 26%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - RochdaleBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,92fair 10,72-26 %
    Miss
    Matchresultat - GillinghamBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 13,62fair 19,29-29 %
    Hit

    Match prediction: RochdaleGillingham

    Predicted score matrix

    Gillingham
    Rochdale
    0
    1
    2
    3
    4+
    0
    0–09.4%
    0–18.9%
    0–24.7%
    0–31.6%
    0–4+0.5%
    1
    1–012.1%
    1–113.1%
    1–26.5%
    1–32.2%
    1–4+0.7%
    2
    2–08.6%
    2–18.8%
    2–24.5%
    2–31.5%
    2–4+0.5%
    3
    3–04.0%
    3–14.1%
    3–22.1%
    3–30.7%
    3–4+0.2%
    4+
    4+–01.9%
    4+–11.9%
    4+–21.0%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-012%
    3. 3.0-09%
    4. 4.0-19%
    5. 5.2-19%
    Expected goals
    1,381,02
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.89EV+2%
    Over 2,543%
    @2.08

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rochdale to win45%
    • Under 3.5 goals78%

    Combined probability

    34%

    Fair odds

    2.98

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

    02 · 3 legs

    Balanced

    • Rochdale to win45%
    • Under 2.5 goals57%
    • 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 score48%
    • Over 2.5 goals43%
    • Dajaune Anthony Brown to score21%
    • Armani George Little to be booked20%

    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+).

    • Under 2.557% probability@1.89PinnacleEV+8%reference odds
    • Under 1.530% probability@3.40Bet365EV+3%reference odds
    • Under 2.557% probability@1.80Bet365EV+2%reference odds
    Bookmaker1 · RochdaleX2 · Gillingham
    Bet3652.003.303.50
    Betfair Exchange2.122.943.05
    Betsafe2.083.303.45
    Betsson2.083.303.45
    Nordicbet2.083.303.45
    Pinnacle2.10
    EV+ 1%
    3.56
    3.42

    Odds updated 5 Sept, 10:32

    Odds movement

    1-1 %
    47 %42 %

    2.132.10

    X+1 %
    30 %25 %

    3.523.56

    2+7 %
    31 %26 %

    3.203.42

    Over 2,5-2 %
    49 %44 %

    1.991.94

    Pinnacle · 13 recorded price levels · 02/09/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Rochdale
    Gillingham
    When goals are scored and conceded 2026
    Rochdale (46)
    Gillingham (25)
    Pass networks

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

    Rochdale
    Kaiden Carlton Anthony Wilson: 187 passningar, xT 0.21WilsonEthan Reid Ebanks-Landell: 184 passningar, xT 0.17Ebanks-LandellSam Sherring: 165 passningar, xT 0.31SherringNils Ramming: 146 passningar, xT 0.19RammingDaniel Thomas Moss: 128 passningar, xT 0.54MossEdward Albert Francis: 119 passningar, xT 0.02FrancisOlutobi Adebayo-Rowling: 114 passningar, xT 0.03Adebayo-RowlingBabajide Ezekiel Adeeko: 87 passningar, xT -0.02AdeekoRyan Henry East: 77 passningar, xT 0.4EastHarvey James Gilmour: 69 passningar, xT 0.06GilmourKane Taylor: 59 passningar, xT 0.26Taylor
    Gillingham
    Omar Jerome Beckles: 145 passningar, xT 0.18BecklesJames Robert Brophy: 117 passningar, xT 0.21BrophyLogan Dobbs: 103 passningar, xT 0.15DobbsAndy Smith: 88 passningar, xT 0.11SmithNicholas Scott Edward Freeman: 79 passningar, xT 1.16FreemanRobbie Mckenzie: 52 passningar, xT -0.05MckenzieOliver Lennon George Wright: 49 passningar, xT 0.15WrightRonan Aiden Connolly Shea Chapman Hale: 49 passningar, xT -0.26HaleConor McManus: 41 passningar, xT 0.35McManusAshley Maynard-Brewer: 32 passningar, xT 0.12Maynard-BrewerHarry Waldock: 28 passningar, xT 0.2Waldock
    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: 187 passningar, xT 0.21WilsonEthan Reid Ebanks-Landell: 184 passningar, xT 0.17Ebanks-LandellSam Sherring: 165 passningar, xT 0.31SherringNils Ramming: 146 passningar, xT 0.19RammingDaniel Thomas Moss: 128 passningar, xT 0.54MossEdward Albert Francis: 119 passningar, xT 0.02FrancisOlutobi Adebayo-Rowling: 114 passningar, xT 0.03Adebayo-RowlingBabajide Ezekiel Adeeko: 87 passningar, xT -0.02AdeekoRyan Henry East: 77 passningar, xT 0.4EastHarvey James Gilmour: 69 passningar, xT 0.06GilmourKane Taylor: 59 passningar, xT 0.26Taylor
    Gillingham
    Omar Jerome Beckles: 145 passningar, xT 0.18BecklesJames Robert Brophy: 117 passningar, xT 0.21BrophyLogan Dobbs: 103 passningar, xT 0.15DobbsAndy Smith: 88 passningar, xT 0.11SmithNicholas Scott Edward Freeman: 79 passningar, xT 1.16FreemanRobbie Mckenzie: 52 passningar, xT -0.05MckenzieOliver Lennon George Wright: 49 passningar, xT 0.15WrightRonan Aiden Connolly Shea Chapman Hale: 49 passningar, xT -0.26HaleConor McManus: 41 passningar, xT 0.35McManusAshley Maynard-Brewer: 32 passningar, xT 0.12Maynard-BrewerHarry Waldock: 28 passningar, xT 0.2Waldock

    The teams in numbers

    PerformanceRochdaleGillingham
    Points33
    xPoints3.34.6
    xG per match0.710.89
    xGA per match1.41.6
    xG within 8s of winning the ball0.020.06
    xGA within 8s of losing the ball0.110.21
    Playing styleRochdaleGillingham
    Build-up efficiency0.320.33
    Field tilt0.480.35
    xT per match0.640.82
    xTA per match0.890.73
    Won balls, offensive half1629
    Pressing intensity0.230.24
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.280.31
    Entries into the box per match79
    Entries into the box against1415
    Pass completion %0.770.63
    Pass completion % under pressure0.720.57
    Passes per match386227
    Passes against per match241339
    Switches of play per match23.114.2
    Long balls per match3230
    Set piecesRochdaleGillingham
    xG from free kicks0.010.12
    Corners per match3.83.5
    Corners against per match5.17.7
    xG per corner0.020
    xGA per corner against0.050.02
    First touch, offensive corners %0.20.29
    First touch, defensive corners %0.70.63
    OtherRochdaleGillingham
    Throw-in control0.760.67
    The goalkeepersNils Ramming (Rochdale)Oliver Lennon George Wright (Gillingham)
    Saves128
    Save %67%80%
    xG prevented37%74%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rochdale vs Gillingham according to our model?

    The model gives Rochdale a 45% win probability. Full 1X2 picture: Rochdale 45%, draw 28%, Gillingham 26%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.