EFL League TwoWham Stadium, Accrington12°8,8 mm24 km/h

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    Accrington StanleyAccrington StanleyCounter-attacks & crosses
    vs
    Newport CountyNewport CountyLow block & direct
    The model's lean: 1 · Accrington Stanley (48%)

    Accrington StanleyNewport County · EFL League Two

    1 · Accrington Stanley 48%X 29%23% Newport County · 2

    Analysis: Accrington StanleyNewport County

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

    Accrington Stanley's strategy of counter-attacks and crossing plays comes into focus against Newport County's deep-seated defensive approach. The hosts have a slender edge, illustrated by their slightly better points tally and superior xPoints and xG numbers. Accrington's counter-attacking style could prove decisive, exploiting gaps in a Newport side that prefers to sit back and absorb pressure.

    The model assigns a 48% win probability to Accrington, with the most likely scorelines of 1-1, 1-0, and 2-0 each sitting at 11%. The xG numbers further underline the disparity; Accrington boasts an expected 1.94 goals compared to Newport's 0.95. This suggests the home side has the potential to create more meaningful chances, despite Newport's slightly better defensive xGA of 1.4 against Accrington's 1.8.

    With only four head-to-head encounters since 2023, the direct record offers limited insight, split evenly with two wins apiece. However, the tactical matchup suggests a slight nod towards Accrington. Their ability to capitalize on counter-attacks may find joy against Newport's defense if the visitors struggle to transition effectively from their low block.

    The weather forecast for 3.0 mm of rain could suppress goal-scoring, but the model's 55% probability for over 2.5 goals implies an expectation for at least a couple of breakthroughs. Both teams scoring stands at 53%, indicating a competitive encounter rather than a one-sided affair. Nonetheless, the numbers tilt towards Accrington’s capacity to edge this clash, with a likely scoreline of 1-0 or 2-0.

    For bettors seeking value, Accrington to win at odds attractive enough to cover probabilities above 48% should be considered. If bookmakers like Pinnacle offer odds better than 2.08, the numbers suggest value worth seizing.

    Accrington StanleyAccrington Stanley
    Form DLLDW
    League ranking xG #6xGA #23xT #6xP/match #6Points #19
    Key players
    • Josh Stanley Ronald WoodsFxG 0.51 · xT 0.10
    • Donald LoveRWxG 0.03 · xT 0.30
    • Charlie CatonFxG 0.56 · xT 0.04
    Newport CountyNewport County
    Form WLDLL
    League ranking xG #22xGA #13xT #15xP/match #13Points #20
    Key players
    • Harrison BigginsCAMxG 0.06 · xT 0.20
    • Christian Rhys DoidgeFxG 0.27 · xT 0.17
    • Shaquille GwengweFxG 0.20 · xT 0.02

    Match prediction: Accrington StanleyNewport County

    Predicted score matrix

    Newport County
    Accrington Stanley
    0
    1
    2
    3
    4+
    0
    0–05.9%
    0–15.0%
    0–22.5%
    0–30.8%
    0–4+0.2%
    1
    1–010.5%
    1–110.5%
    1–24.8%
    1–31.5%
    1–4+0.4%
    2
    2–010.5%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–06.8%
    3–16.4%
    3–23.0%
    3–31.0%
    3–4+0.3%
    4+
    4+–05.1%
    4+–14.9%
    4+–22.3%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-011%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    1,940,95
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    Over 2,555%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Accrington Stanley to win48%
    • Over 1.5 goals79%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Accrington Stanley to win48%
    • Over 2.5 goals55%
    • Charlie George Caton to score27%

    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 score53%
    • Over 2.5 goals55%
    • Charlie George Caton to score27%
    • Ciaran Thomas Brennan 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

    No odds available yet.

    Statistics

    Head-to-head

    4 matches
    Accrington Stanley 2Draw 0Newport County 2
    Goals: 105 (⌀ 3,8)

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

    xG & xGA per match — 3-game rolling average

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

    Accrington Stanley
    Newport County
    When goals are scored and conceded 2026
    Accrington Stanley (911)
    Newport County (910)
    Pass networks

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

    Accrington Stanley
    Joseph William Anderson: 135 passningar, xT 0.86AndersonDevon Matthews: 125 passningar, xT 0.61MatthewsDonald Love: 121 passningar, xT 1.39LoveTom William Moore: 100 passningar, xT 0.45MooreLouie Moulden: 86 passningar, xT 0.25MouldenSeamus Conneely: 78 passningar, xT 0.05ConneelyFarrend Rawson: 77 passningar, xT 0.09RawsonJosh Stanley Ronald Woods: 68 passningar, xT 0.49WoodsLiam Coyle: 66 passningar, xT 0.24CoyleShaun Whalley: 57 passningar, xT 0.35WhalleyDavid Mabanga Tutonda: 47 passningar, xT -0.02Tutonda
    Newport County
    Harrison Biggins: 93 passningar, xT 0.97BigginsCameron Pearce Norman: 82 passningar, xT 0.66NormanCiaran Brennan: 81 passningar, xT 0.21BrennanJordan Wright: 73 passningar, xT 0.29WrightLee Thomas Jenkins: 69 passningar, xT 0.39JenkinsKyle Milne Cameron: 63 passningar, xT 0.1CameronCameron Evans: 36 passningar, xT 0.03EvansThomas Alfred Davies: 27 passningar, xT 0.06DaviesJoe Thomas: 25 passningar, xT 0.04ThomasMatthew Max Dibley-Dias: 24 passningar, xT -0.02Dibley-DiasYahaya Abdoul Bamba: 23 passningar, xT 0.25Bamba
    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.

    Accrington Stanley
    Joseph William Anderson: 135 passningar, xT 0.86AndersonDevon Matthews: 125 passningar, xT 0.61MatthewsDonald Love: 121 passningar, xT 1.39LoveTom William Moore: 100 passningar, xT 0.45MooreLouie Moulden: 86 passningar, xT 0.25MouldenSeamus Conneely: 78 passningar, xT 0.05ConneelyFarrend Rawson: 77 passningar, xT 0.09RawsonJosh Stanley Ronald Woods: 68 passningar, xT 0.49WoodsLiam Coyle: 66 passningar, xT 0.24CoyleShaun Whalley: 57 passningar, xT 0.35WhalleyDavid Mabanga Tutonda: 47 passningar, xT -0.02Tutonda
    Newport County
    Harrison Biggins: 93 passningar, xT 0.97BigginsCameron Pearce Norman: 82 passningar, xT 0.66NormanCiaran Brennan: 81 passningar, xT 0.21BrennanJordan Wright: 73 passningar, xT 0.29WrightLee Thomas Jenkins: 69 passningar, xT 0.39JenkinsKyle Milne Cameron: 63 passningar, xT 0.1CameronCameron Evans: 36 passningar, xT 0.03EvansThomas Alfred Davies: 27 passningar, xT 0.06DaviesJoe Thomas: 25 passningar, xT 0.04ThomasMatthew Max Dibley-Dias: 24 passningar, xT -0.02Dibley-DiasYahaya Abdoul Bamba: 23 passningar, xT 0.25Bamba

    The teams in numbers

    PerformanceAccrington StanleyNewport County
    Points54
    xPoints7.96.7
    xG per match1.70.92
    xGA per match1.81.4
    xG within 8s of winning the ball0.60.08
    xGA within 8s of losing the ball0.430.28
    Playing styleAccrington StanleyNewport County
    Build-up efficiency0.320.33
    Field tilt0.460.31
    xT per match1.10.77
    xTA per match1.21
    Won balls, offensive half3030
    Pressing intensity0.230.23
    Pressing efficiency0.380.32
    Pressing efficiency, offensive half0.320.31
    Entries into the box per match1410
    Entries into the box against1217
    Pass completion %0.60.51
    Pass completion % under pressure0.560.52
    Passes per match213142
    Passes against per match267328
    Switches of play per match20.614.4
    Long balls per match3429
    Set piecesAccrington StanleyNewport County
    xG from free kicks0.080.14
    Corners per match3.22.8
    Corners against per match5.57.1
    xG per corner0.010.05
    xGA per corner against0.020.01
    First touch, offensive corners %0.290.29
    First touch, defensive corners %0.790.69
    OtherAccrington StanleyNewport County
    Throw-in control0.70.79
    The goalkeepersLouie Moulden (Accrington Stanley)Jordan Wright (Newport County)
    Saves1814
    Save %67%61%
    xG prevented56%34%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Accrington Stanley vs Newport County according to our model?

    The model gives Accrington Stanley a 48% win probability. Full 1X2 picture: Accrington Stanley 48%, draw 29%, Newport County 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.