EFL League TwoBescot Stadium, Walsall16°14,9 mm15 km/h

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    WalsallWalsallCounter-attacks & crosses
    32
    Accrington StanleyAccrington StanleyCounter-attacks & crosses
    The model's lean: 1 · Walsall (49%)Best value by the model: Under 2,5 @ 1.82 (+1 %)

    WalsallAccrington Stanley · EFL League Two

    1 · Walsall 49%X 27%24% Accrington Stanley · 2

    Analysis: WalsallAccrington Stanley

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT:

    Walsall's advantage over Accrington Stanley is visible in nearly every metric. With a 49% chance of victory, the model leans heavily toward the hosts. The most likely scorelines, 1-1 and 1-0, suggest a tight contest, but the expected goals (1.48 for Walsall vs. 0.98 for Stanley) indicate a clearer edge for the home side. Their superior xG and xPoints further bolster this confidence, suggesting Walsall's attacking efficiency could carve out a win.

    The head-to-head record is too small to dominate the narrative, split evenly at one win each alongside two draws. Thus, the recent form and expected goals should carry more weight. The weather, projected to bring 6.0 mm of rain, might dampen offensive efforts but is factored into the model's calculations already. With both teams relying on counter attacks and crosses, the slippery conditions could lead to more aerial duels and fewer ground passes.

    Walsall also holds the defensive edge, with a lower xGA of 1.3 compared to Stanley's 1.8, suggesting the hosts are better set up to limit chances. The likelihood of both teams scoring sits at 49%, just under half, hinting at a game where one goal may tip the balance. The over 2.5 goals market stands at 44%, suggesting caution in expecting a high-scoring affair, especially under these conditions.

    While a 1-0 result to Walsall appears plausible, the 1-1 draw remains the most probable scoreline at 13%. This tension between a narrow home win and a stalemate should steer bettors towards value-driven options.

    In essence, Walsall holds the upper hand on paper, but the razor-thin margins suggest modest betting stakes. A strong defensive showing could see the hosts through, but with an eye on the rain-soaked pitch, a low-scoring draw lurks as a realistic outcome.

    WalsallWalsall
    Form WLLWD
    League ranking xG #1xGA #11xT #5xP/match #5Points #3
    Key players
    • Aaron PressleyFxG 0.80 · xT 0.14
    • Reece SmithLWxG 0.33 · xT -0.04
    • Courtney Alphonso ClarkeLWxG 0.54 · xT 0.65
    Accrington StanleyAccrington Stanley
    Form DDLDL
    League ranking xG #11xGA #21xT #7xP/match #16Points #19
    Key players
    • Josh Stanley Ronald WoodsFxG 0.34 · xT 0.08
    • Shaun WhalleyFxG 0.08 · xT 0.10
    • Charlie CatonFxG 0.61 · xT 0.06
    Final score
    32
    The model called the outcome
    Predicted probabilities: Walsall 49% · Draw 27% · Accrington Stanley 24%

    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 - AccringtonBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 16,83fair 21,37-21 %
    Miss
    Matchresultat - WalsallBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,61fair 9,49-30 %
    Hit

    Match prediction: WalsallAccrington Stanley

    Predicted score matrix

    Accrington Stanley
    Walsall
    0
    1
    2
    3
    4+
    0
    0–08.9%
    0–18.0%
    0–24.1%
    0–31.3%
    0–4+0.4%
    1
    1–012.3%
    1–112.8%
    1–26.1%
    1–32.0%
    1–4+0.6%
    2
    2–09.4%
    2–19.2%
    2–24.5%
    2–31.5%
    2–4+0.4%
    3
    3–04.6%
    3–14.5%
    3–22.2%
    3–30.7%
    3–4+0.2%
    4+
    4+–02.4%
    4+–12.3%
    4+–21.1%
    4+–30.4%
    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. 3.2-09%
    4. 4.2-19%
    5. 5.0-09%
    Expected goals
    1,480,98
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,556%
    @1.82EV+1%
    Over 2,544%
    @2.03

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Walsall to win49%
    • Under 3.5 goals77%

    Combined probability

    35%

    Fair odds

    2.82

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

    02 · 3 legs

    Balanced

    • Walsall to win49%
    • Under 2.5 goals56%
    • Alexander Antony Pattison to score26%

    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 goals44%
    • Alexander Antony Pattison to score26%
    • Liam Christopher Coyle 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 2.556% probability@1.82PinnacleEV+1%reference odds
    Bookmaker1 · WalsallX2 · Accrington Stanley
    Betsafe1.853.303.95
    Betsson1.853.303.95
    Nordicbet1.853.303.95
    Pinnacle1.873.574.22

    Odds updated 29 Aug, 05:37

    Odds movement

    1-3 %
    53 %48 %

    1.931.87

    X+3 %
    29 %24 %

    3.473.57

    2+9 %
    25 %20 %

    3.874.22

    Over 2,50 %
    49 %44 %

    2.042.03

    Pinnacle · 10 recorded price levels · 23/08/2026 → 29/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Walsall 1Draw 2Accrington Stanley 1
    Goals: 32 (⌀ 1,2)

    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).

    Walsall
    Accrington Stanley
    When goals are scored and conceded 2026
    Walsall (30)
    Accrington Stanley (24)
    Pass networks

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

    Walsall
    James Alfred Connolly: 86 passningar, xT 0.12ConnollyMason Colin Hancock: 76 passningar, xT 0.17HancockDeclan Skura: 64 passningar, xT 0.07SkuraSven Michael Sprangler: 64 passningar, xT 0.02SpranglerJed MacAulay Ward: 61 passningar, xT 0.06WardElicha Sar-Shalom Ahui: 44 passningar, xT 0.24AhuiIsaac Moore: 37 passningar, xT 0.05MooreLewis Matthew Simper: 31 passningar, xT 0.57SimperReece Smith: 30 passningar, xT -0.06SmithCharles Crew: 24 passningar, xT 0.02CrewAaron Pressley: 22 passningar, xT 0.1Pressley
    Accrington Stanley
    Tom William Moore: 74 passningar, xT 0.21MooreSeamus Conneely: 69 passningar, xT 0.05ConneelyDevon Matthews: 65 passningar, xT 0.2MatthewsJoseph William Anderson: 59 passningar, xT 0.25AndersonDonald Love: 56 passningar, xT 0.51LoveConnor David O'Brien: 47 passningar, xT 0.54O'BrienLouie Moulden: 45 passningar, xT 0.09MouldenFarrend Rawson: 39 passningar, xT 0.04RawsonJosh Stanley Ronald Woods: 35 passningar, xT 0.12WoodsShaun Whalley: 30 passningar, xT 0.16WhalleyCharlie Caton: 15 passningar, xT 0.05Caton
    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.

    Walsall
    James Alfred Connolly: 86 passningar, xT 0.12ConnollyMason Colin Hancock: 76 passningar, xT 0.17HancockDeclan Skura: 64 passningar, xT 0.07SkuraSven Michael Sprangler: 64 passningar, xT 0.02SpranglerJed MacAulay Ward: 61 passningar, xT 0.06WardElicha Sar-Shalom Ahui: 44 passningar, xT 0.24AhuiIsaac Moore: 37 passningar, xT 0.05MooreLewis Matthew Simper: 31 passningar, xT 0.57SimperReece Smith: 30 passningar, xT -0.06SmithCharles Crew: 24 passningar, xT 0.02CrewAaron Pressley: 22 passningar, xT 0.1Pressley
    Accrington Stanley
    Tom William Moore: 74 passningar, xT 0.21MooreSeamus Conneely: 69 passningar, xT 0.05ConneelyDevon Matthews: 65 passningar, xT 0.2MatthewsJoseph William Anderson: 59 passningar, xT 0.25AndersonDonald Love: 56 passningar, xT 0.51LoveConnor David O'Brien: 47 passningar, xT 0.54O'BrienLouie Moulden: 45 passningar, xT 0.09MouldenFarrend Rawson: 39 passningar, xT 0.04RawsonJosh Stanley Ronald Woods: 35 passningar, xT 0.12WoodsShaun Whalley: 30 passningar, xT 0.16WhalleyCharlie Caton: 15 passningar, xT 0.05Caton

    The teams in numbers

    PerformanceWalsallAccrington Stanley
    Points41
    xPoints3.72.4
    xG per match2.41.3
    xGA per match1.31.8
    xG within 8s of winning the ball0.210.44
    xGA within 8s of losing the ball0.110.14
    Playing styleWalsallAccrington Stanley
    Build-up efficiency0.360.32
    Field tilt0.470.58
    xT per match1.21.2
    xTA per match1.11.4
    Won balls, offensive half2529
    Pressing intensity0.220.22
    Pressing efficiency0.380.45
    Pressing efficiency, offensive half0.320.33
    Entries into the box per match1316
    Entries into the box against1613
    Pass completion %0.70.63
    Pass completion % under pressure0.680.59
    Passes per match306278
    Passes against per match245193
    Switches of play per match29.723.3
    Long balls per match3234
    Set piecesWalsallAccrington Stanley
    xG from free kicks0.090.08
    Corners per match8.65.1
    Corners against per match6.56.6
    xG per corner0.060.01
    xGA per corner against0.020.02
    First touch, offensive corners %0.470.3
    First touch, defensive corners %0.690.77
    OtherWalsallAccrington Stanley
    Throw-in control0.730.72
    The goalkeepersJed MacAulay Ward (Walsall)Louie Moulden (Accrington Stanley)
    Saves87
    Save %100%70%
    xG prevented100%81%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Walsall vs Accrington Stanley according to our model?

    The model gives Walsall a 49% win probability. Full 1X2 picture: Walsall 49%, draw 27%, Accrington Stanley 24%.

    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 44% and under at 56%.

    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.