EFL League TwoPriestfield Stadium, Gillingham16°15 km/h

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    GillinghamGillinghamCounter-attacks & crosses
    vs
    Newport CountyNewport CountyLow block & direct
    The model's lean: 1 · Gillingham (46%)

    Gillingham vs Newport County · EFL League Two

    1 · Gillingham 46%X 30%24% Newport County · 2

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    Analysis: Gillingham – Newport County

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

    For those seeking value, consider Bet365, offering odds on Gillingham to win at 2.20.

    **Corrected text:**

    Two wins for each side in their four encounters since 2023 suggest a fairly balanced head-to-head, though this small sample is less significant than their current forms. Gillingham enters the game riding a wave of momentum with three consecutive victories, while Newport County has been less convincing. This recent run gives the hosts a psychological upper hand, which could be pivotal in a closely contested fixture.

    Gillingham's approach is built on counter-attacks and wide play, a style that naturally complements their current form. Newport, however, prefers to sit deep and play direct, which could pose challenges for Gillingham's strategy when trying to break through a low block. While both sides have an identical xG and xGA per match of 1.1 and 1.4 respectively, the hosts' recent knack for finding the net could tilt the balance in their favor.

    The model leans towards a Gillingham win, setting the odds for a home victory at 46%. It also highlights a 12% likelihood for both a 1-0 and 1-1 scoreline, pointing to a potentially tight affair. Despite an over 2.5 goals probability of 46%, the expected goals suggest a lower-scoring encounter, with Gillingham favored to edge it 1-0 or 2-0.

    Given the home side's current winning streak and their tactical fit against Newport's style, Gillingham's attacking verve should carry them through, making them the more likely victors in this clash. While Newport may find it tough to break through, the underlying numbers suggest this could still be a tightly fought contest.

    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
    Newport CountyNewport County
    Form DLLDD
    League ranking xG #16xGA #13xT #14xP/match #11Points #20
    Key players
    • Christian Rhys DoidgeFxG 0.55 · xT 0.11
    • Harrison BigginsCAMxG 0.09 · xT 0.18
    • Shaquille GwengweFxG 0.17 · xT 0.02

    Match prediction: Gillingham – Newport County

    Predicted score matrix

    Newport County →
    Gillingham →
    0
    1
    2
    3
    4+
    0
    0–08.4%
    0–17.1%
    0–23.5%
    0–31.1%
    0–4+0.3%
    1
    1–012.4%
    1–112.2%
    1–25.5%
    1–31.7%
    1–4+0.5%
    2
    2–010.2%
    2–19.5%
    2–24.4%
    2–31.4%
    2–4+0.4%
    3
    3–05.4%
    3–15.0%
    3–22.3%
    3–30.7%
    3–4+0.2%
    4+
    4+–03.1%
    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
    1,59–0,93
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    –
    Over 2,546%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Gillingham to win46%
    • Under 3.5 goals75%

    Combined probability

    37%

    Fair odds

    2.67

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

    02 · 3 legs

    Balanced

    • Gillingham to win46%
    • Under 2.5 goals54%
    • James Robert Brophy to score23%

    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 goals46%
    • Gerard Garner to score24%
    • Armani George Little to be booked19%

    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

    Head-to-head

    4 matches
    Gillingham 2Draw 0Newport County 2
    Goals: 7–8 (⌀ 3,8)

    Head-to-head based on League Two data since 2023.

    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).

    Gillingham
    Newport County
    When goals are scored and conceded — 2026
    Gillingham (11–6)
    Newport County (10–11)
    Pass networks

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

    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
    Newport County
    Harrison Biggins: 106 passningar, xT 0.79BigginsCameron Pearce Norman: 103 passningar, xT 0.67NormanCiaran Brennan: 98 passningar, xT 0.07BrennanLee Thomas Jenkins: 77 passningar, xT 0.45JenkinsKyle Milne Cameron: 72 passningar, xT 0.13CameronJordan Wright: 71 passningar, xT 0.24WrightMatthew James Jacob: 58 passningar, xT 0.57JacobMatthew Max Dibley-Dias: 57 passningar, xT 0.04Dibley-DiasJoe Thomas: 50 passningar, xT 0.12ThomasKieron Evans: 28 passningar, xT 0.08EvansYahaya Abdoul Bamba: 18 passningar, xT -0.1Bamba
    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.

    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
    Newport County
    Harrison Biggins: 106 passningar, xT 0.79BigginsCameron Pearce Norman: 103 passningar, xT 0.67NormanCiaran Brennan: 98 passningar, xT 0.07BrennanLee Thomas Jenkins: 77 passningar, xT 0.45JenkinsKyle Milne Cameron: 72 passningar, xT 0.13CameronJordan Wright: 71 passningar, xT 0.24WrightMatthew James Jacob: 58 passningar, xT 0.57JacobMatthew Max Dibley-Dias: 57 passningar, xT 0.04Dibley-DiasJoe Thomas: 50 passningar, xT 0.12ThomasKieron Evans: 28 passningar, xT 0.08EvansYahaya Abdoul Bamba: 18 passningar, xT -0.1Bamba

    The teams in numbers

    PerformanceGillinghamNewport County
    Points95
    xPoints88.6
    xG per match1.11.1
    xGA per match1.41.4
    xG within 8s of winning the ball0.20.1
    xGA within 8s of losing the ball0.230.26
    Playing styleGillinghamNewport County
    Build-up efficiency0.340.33
    Field tilt0.410.33
    xT per match0.810.85
    xTA per match0.680.97
    Won balls, offensive half2631
    Pressing intensity0.240.23
    Pressing efficiency0.310.32
    Pressing efficiency, offensive half0.310.31
    Entries into the box per match911
    Entries into the box against1415
    Pass completion %0.640.52
    Pass completion % under pressure0.570.52
    Passes per match239151
    Passes against per match332313
    Switches of play per match16.414.7
    Long balls per match3329
    Set piecesGillinghamNewport County
    xG from free kicks0.090.15
    Corners per match4.23.9
    Corners against per match76.4
    xG per corner0.020.04
    xGA per corner against0.020.02
    First touch, offensive corners %0.480.39
    First touch, defensive corners %0.590.68
    OtherGillinghamNewport County
    Throw-in control0.680.78
    The goalkeepersOliver Lennon George Wright (Gillingham)Jordan Wright (Newport County)
    Saves1620
    Save %84%67%
    xG prevented87%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gillingham vs Newport County according to our model?

    The model gives Gillingham a 46% win probability. Full 1X2 picture: Gillingham 46%, draw 30%, Newport County 24%.

    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 46% and under at 54%.

    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.