EFL League TwoWham Stadium, Accrington15°0,1 mm21 km/h

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    Accrington StanleyAccrington StanleyCounter-attacks & crosses
    22
    Grimsby TownGrimsby TownPossession control
    The model's lean: 2 · Grimsby Town (56%)

    Accrington StanleyGrimsby Town · EFL League Two

    1 · Accrington Stanley 20%X 24%56% Grimsby Town · 2

    Analysis: Accrington StanleyGrimsby Town

    Sofia Andersson · · The model's read on the match · How the predictions work

    Grimsby Town enters with a commanding 56% win probability, indicating clear superiority in this League Two clash. The expected goals model underscores the visitors' edge, forecasting 1.56 goals for Grimsby against Accrington's 0.97. Grimsby's possession-based style contrasts sharply with the hosts' counter-attacking approach, with the numbers heavily favoring the visitors.

    Despite a small head-to-head sample of four matches since 2023, Grimsby holds a slight advantage with two wins. The visitors also lead in both points and expected points, solidifying their position as favorites. Accrington's defensive frailties, conceding an average of 2.1 expected goals per match, could be costly against Grimsby's more efficient attack, which averages 2.0 xG per match.

    For punters, the standout angle lies with Grimsby Town's odds of 1.98 at Betsafe, Betsson, and Nordicbet. The 11% edge on these odds represents strong value, aligned with the model's clear preference for an away win. Expect a low-scoring affair, with 0-1 or 0-2 looking plausible given Grimsby's defensive solidity and the hosts' struggle in attack.

    Accrington StanleyAccrington Stanley
    Form DLDLL
    League ranking xG #7xGA #23xT #5xP/match #15Points #22
    Key players
    • Josh Stanley Ronald WoodsFxG 0.60 · xT 0.05
    • Charlie CatonFxG 0.57 · xT 0.05
    • Donald LoveCAMxG 0.02 · xT 0.30
    Grimsby TownGrimsby Town
    Form LDWDD
    League ranking xG #3xGA #10xT #3xP/match #7Points #10
    Key players
    • Jayden Deslandes SweeneyLBxG 0.11 · xT 0.25
    • Andy CookFxG 0.24 · xT 0.12
    • Harvey RodgersRWBxG 0.15 · xT 0.08
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Accrington Stanley 20% · Draw 24% · Grimsby Town 56%

    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 - GrimsbyBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,98fair 8,54-18 %
    Miss
    Matchresultat - AccringtonBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 12,92fair 21,90-41 %
    Miss

    Match prediction: Accrington StanleyGrimsby Town

    Predicted score matrix

    Grimsby Town
    Accrington Stanley
    0
    1
    2
    3
    4+
    0
    0–08.3%
    0–112.1%
    0–29.7%
    0–35.1%
    0–4+2.8%
    1
    1–07.4%
    1–112.4%
    1–29.4%
    1–34.9%
    1–4+2.7%
    2
    2–03.7%
    2–15.8%
    2–24.5%
    2–32.4%
    2–4+1.3%
    3
    3–01.2%
    3–11.9%
    3–21.5%
    3–30.8%
    3–4+0.4%
    4+
    4+–00.4%
    4+–10.6%
    4+–20.4%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-112%
    3. 3.0-210%
    4. 4.1-29%
    5. 5.0-08%
    Expected goals
    0,971,56
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,554%
    @1.94EV+4%
    Over 2,546%
    @1.89

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Grimsby Town to win56%
    • Under 3.5 goals75%

    Combined probability

    36%

    Fair odds

    2.76

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

    02 · 3 legs

    Balanced

    • Grimsby Town to win56%
    • Under 2.5 goals54%
    • Daniel Antony Rose 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 score49%
    • Over 2.5 goals46%
    • Daniel Antony Rose to score27%
    • Devon Matthews to be booked21%

    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+).

    • 2 · Grimsby Town56% probability@1.98BetsafeEV+11%reference odds
    • 2 · Grimsby Town56% probability@1.98BetssonEV+11%reference odds
    • 2 · Grimsby Town56% probability@1.98NordicbetEV+11%reference odds
    Bookmaker1 · Accrington StanleyX2 · Grimsby Town
    Betsafe3.553.40
    EV+ 11%
    1.98
    Betsson3.553.40
    EV+ 11%
    1.98
    Nordicbet3.553.40
    EV+ 11%
    1.98
    Pinnacle3.603.74
    EV+ 11%
    1.98

    Odds updated 1 Sept, 09:35

    Odds movement

    1+5 %
    29 %24 %

    3.443.60

    X+5 %
    28 %23 %

    3.573.74

    2-2 %
    50 %45 %

    2.021.98

    Over 2,5-4 %
    52 %47 %

    1.981.89

    Pinnacle · 10 recorded price levels · 30/08/2026 → 01/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Accrington Stanley 1Draw 1Grimsby Town 2
    Goals: 69 (⌀ 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
    Grimsby Town
    When goals are scored and conceded 2026
    Accrington Stanley (47)
    Grimsby Town (32)
    Pass networks

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

    Accrington Stanley
    Tom William Moore: 100 passningar, xT 0.45MooreDonald Love: 87 passningar, xT 0.99LoveJoseph William Anderson: 80 passningar, xT 0.58AndersonDevon Matthews: 78 passningar, xT 0.2MatthewsSeamus Conneely: 78 passningar, xT 0.05ConneelyLouie Moulden: 60 passningar, xT 0.2MouldenFarrend Rawson: 55 passningar, xT 0.07RawsonConnor David O'Brien: 47 passningar, xT 0.54O'BrienJosh Stanley Ronald Woods: 45 passningar, xT 0.12WoodsShaun Whalley: 37 passningar, xT 0.17WhalleyCharlie Caton: 24 passningar, xT 0.04Caton
    Grimsby Town
    Jayden Deslandes Sweeney: 131 passningar, xT 0.7SweeneyCameron Mcjannett: 127 passningar, xT 0.41McjannettGeza David Turi: 106 passningar, xT 0.16TuriChristy James Pym: 101 passningar, xT 0.31PymMaldini Kacurri: 101 passningar, xT 0.16KacurriHarvey Rodgers: 86 passningar, xT 0.21RodgersCharles Vernam: 57 passningar, xT 0.54VernamCian Doyle: 54 passningar, xT 0.28DoyleKieran Green: 40 passningar, xT 0.46GreenJustin Ikechukwu Obiora Amaluzor: 37 passningar, xT 0.04AmaluzorIwan Tomas Morgan: 13 passningar, xT 0.07Morgan
    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
    Tom William Moore: 100 passningar, xT 0.45MooreDonald Love: 87 passningar, xT 0.99LoveJoseph William Anderson: 80 passningar, xT 0.58AndersonDevon Matthews: 78 passningar, xT 0.2MatthewsSeamus Conneely: 78 passningar, xT 0.05ConneelyLouie Moulden: 60 passningar, xT 0.2MouldenFarrend Rawson: 55 passningar, xT 0.07RawsonConnor David O'Brien: 47 passningar, xT 0.54O'BrienJosh Stanley Ronald Woods: 45 passningar, xT 0.12WoodsShaun Whalley: 37 passningar, xT 0.17WhalleyCharlie Caton: 24 passningar, xT 0.04Caton
    Grimsby Town
    Jayden Deslandes Sweeney: 131 passningar, xT 0.7SweeneyCameron Mcjannett: 127 passningar, xT 0.41McjannettGeza David Turi: 106 passningar, xT 0.16TuriChristy James Pym: 101 passningar, xT 0.31PymMaldini Kacurri: 101 passningar, xT 0.16KacurriHarvey Rodgers: 86 passningar, xT 0.21RodgersCharles Vernam: 57 passningar, xT 0.54VernamCian Doyle: 54 passningar, xT 0.28DoyleKieran Green: 40 passningar, xT 0.46GreenJustin Ikechukwu Obiora Amaluzor: 37 passningar, xT 0.04AmaluzorIwan Tomas Morgan: 13 passningar, xT 0.07Morgan

    The teams in numbers

    PerformanceAccrington StanleyGrimsby Town
    Points15
    xPoints3.65
    xG per match1.62
    xGA per match2.11.2
    xG within 8s of winning the ball0.580.29
    xGA within 8s of losing the ball0.360.15
    Playing styleAccrington StanleyGrimsby Town
    Build-up efficiency0.320.32
    Field tilt0.50.58
    xT per match1.21.4
    xTA per match1.40.93
    Won balls, offensive half3339
    Pressing intensity0.230.22
    Pressing efficiency0.390.39
    Pressing efficiency, offensive half0.340.4
    Entries into the box per match1417
    Entries into the box against1210
    Pass completion %0.620.69
    Pass completion % under pressure0.580.64
    Passes per match237306
    Passes against per match241261
    Switches of play per match2224.2
    Long balls per match3339
    Set piecesAccrington StanleyGrimsby Town
    xG from free kicks0.130.08
    Corners per match4.56.9
    Corners against per match5.45.5
    xG per corner0.010.05
    xGA per corner against0.030.07
    First touch, offensive corners %0.290.42
    First touch, defensive corners %0.710.5
    OtherAccrington StanleyGrimsby Town
    Throw-in control0.720.71
    The goalkeepersLouie Moulden (Accrington Stanley)Christy James Pym (Grimsby Town)
    Saves97
    Save %60%78%
    xG prevented58%64%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Accrington Stanley vs Grimsby Town according to our model?

    The model gives Grimsby Town a 56% win probability. Full 1X2 picture: Accrington Stanley 20%, draw 24%, Grimsby Town 56%.

    What is the most likely scoreline?

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