EFL League TwoBescot Stadium, Walsall14°9 km/h

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    WalsallWalsallCounter-attacks & crosses
    vs
    Grimsby TownGrimsby TownPossession control
    The model's lean: 2 · Grimsby Town (44%)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    WalsallGrimsby Town · EFL League Two

    1 · Walsall 29%X 27%44% Grimsby Town · 2

    Analysis: WalsallGrimsby Town

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

    Grimsby Town's scoring prowess is undeniable, finding the net in 13 consecutive league matches. This streak speaks volumes about their offensive consistency, especially against a Walsall side that has struggled to assert a solid defensive footing this season. With a model probability of 44% favoring Grimsby Town, and odds reflecting 17% value with multiple bookmakers, the betting angle sharply tilts towards Grimsby taking the win at odds of 2.65 with Betsafe, Betsson, and Nordicbet.

    Walsall, with their counter-attacking and crossing style, have failed to consistently convert their tactical approach into tangible results. Although they hold a slight edge in xG per match at 3.0 compared to Grimsby's 2.5, their xGA is less impressive, indicating susceptibility at the back. Grimsby Town's superior xGA at 0.97 underscores their defensive resilience and ability to control games through possession, a style that could stifle Walsall's efforts to break quickly.

    The head-to-head record since 2023, albeit a small sample of four matches, leans slightly towards Grimsby Town with two wins to Walsall's one. However, it's the broader metrics such as xPoints, which see Grimsby edging Walsall at 2.1 against 2.0, that reinforce the likelihood of an away victory. The expected goals metric also favors Grimsby at 1.32 to Walsall's 1.05, suggesting they are more likely to outscore their opponents.

    With only a 42% probability for over 2.5 goals, and a 48% chance for both teams to score, the data hints at a more controlled, perhaps lower-scoring affair, in which Grimsby Town might just nick it. A 0-1 scoreline emerges as a plausible scenario, echoing the calculated odds and their recent form. In a match where Grimsby Town's possession and defensive solidity could eclipse Walsall's counter-attacking threats, the value lies squarely with an away win, underscoring a confident punt on the Mariners in this League Two clash.

    WalsallWalsall
    Form LWLLW
    League ranking xG #1xGA #10xT #13xP/match #8Points #2
    Key players
    • Aaron PressleyFxG 0.64 · xT 0.27
    • Reece SmithLWxG 0.39 · xT -0.07
    • James Alfred ConnollyCBxG 0.93 · xT 0.04
    Grimsby TownGrimsby Town
    Form WDLDW
    League ranking xG #2xGA #7xT #6xP/match #7Points #10
    Key players
    • Charles VernamLWxG 0.28 · xT 0.20
    • Kieran GreenRWxG 0.29 · xT 0.20
    • Jaze Kevin KabiaFxG 0.45 · xT 0.04

    Match prediction: WalsallGrimsby Town

    Predicted score matrix

    Grimsby Town
    Walsall
    0
    1
    2
    3
    4+
    0
    0–09.8%
    0–112.0%
    0–28.2%
    0–33.6%
    0–4+1.6%
    1
    1–09.5%
    1–113.4%
    1–28.5%
    1–33.7%
    1–4+1.6%
    2
    2–05.1%
    2–16.8%
    2–24.5%
    2–32.0%
    2–4+0.9%
    3
    3–01.8%
    3–12.4%
    3–21.6%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.6%
    4+–10.8%
    4+–20.5%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.0-010%
    4. 4.1-09%
    5. 5.1-29%
    Expected goals
    1,051,32
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,558%
    @1.65
    Over 2,542%
    @2.12

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Grimsby Town or draw (X2)71%
    • Under 3.5 goals79%

    Combined probability

    55%

    Fair odds

    1.80

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

    02 · 3 legs

    Balanced

    • Double chance Grimsby Town or draw (X2)71%
    • Under 2.5 goals58%
    • Andrew Ellis Cook to score25%

    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 goals42%
    • Aaron Alex Pressley to score27%
    • Cameron McJannet 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 Town44% probability@2.45BetsafeEV+8%reference odds
    • 2 · Grimsby Town44% probability@2.45BetssonEV+8%reference odds
    • 2 · Grimsby Town44% probability@2.45NordicbetEV+8%reference odds
    Bookmaker1 · WalsallX2 · Grimsby Town
    Betsafe2.753.20
    EV+ 8%
    2.45
    Betsson2.753.20
    EV+ 8%
    2.45
    Nordicbet2.753.20
    EV+ 8%
    2.45

    Odds updated 18 Aug, 16:36

    Odds movement

    1+4 %
    37 %32 %

    2.652.75

    X+2 %
    32 %27 %

    3.153.20

    2-4 %
    39 %34 %

    2.552.45

    Over 2,5-3 %
    47 %42 %

    2.182.12

    Betsson · 15 recorded price levels · 15/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Walsall 1Draw 1Grimsby Town 2
    Goals: 77 (⌀ 3,5)

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

    Key facts

    • Grimsby Town have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Walsall
    Grimsby Town
    When goals are scored and conceded 2026
    Walsall (30)
    Grimsby Town (10)
    Pass networks

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

    Walsall
    James Alfred Connolly: 43 passningar, xT 0.05ConnollyMason Colin Hancock: 37 passningar, xT 0.08HancockSven Michael Sprangler: 33 passningar, xT 0SpranglerJed MacAulay Ward: 33 passningar, xT 0.01WardDeclan Skura: 28 passningar, xT 0.02SkuraReece Smith: 26 passningar, xT -0.07SmithCharles Crew: 23 passningar, xT 0.03CrewIsaac Moore: 13 passningar, xT 0.02MooreAaron Pressley: 12 passningar, xT 0.12PressleyElicha Sar-Shalom Ahui: 11 passningar, xT 0.01AhuiRoman Ivan Quintyne Dixon: 11 passningar, xT 0Dixon
    Grimsby Town
    Jayden Deslandes Sweeney: 52 passningar, xT 0.33SweeneyCameron Mcjannett: 48 passningar, xT 0.11McjannettGeza David Turi: 38 passningar, xT 0.04TuriChristy James Pym: 32 passningar, xT 0.06PymHarvey Rodgers: 30 passningar, xT 0.01RodgersMaldini Kacurri: 24 passningar, xT 0.04KacurriCharles Vernam: 22 passningar, xT 0.23VernamKieran Green: 14 passningar, xT 0.04GreenCian Doyle: 14 passningar, xT 0DoyleJustin Ikechukwu Obiora Amaluzor: 8 passningar, xT 0.02AmaluzorRyley John Stephen Reynolds: 6 passningar, xT 0.02Reynolds
    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: 43 passningar, xT 0.05ConnollyMason Colin Hancock: 37 passningar, xT 0.08HancockSven Michael Sprangler: 33 passningar, xT 0SpranglerJed MacAulay Ward: 33 passningar, xT 0.01WardDeclan Skura: 28 passningar, xT 0.02SkuraReece Smith: 26 passningar, xT -0.07SmithCharles Crew: 23 passningar, xT 0.03CrewIsaac Moore: 13 passningar, xT 0.02MooreAaron Pressley: 12 passningar, xT 0.12PressleyElicha Sar-Shalom Ahui: 11 passningar, xT 0.01AhuiRoman Ivan Quintyne Dixon: 11 passningar, xT 0Dixon
    Grimsby Town
    Jayden Deslandes Sweeney: 52 passningar, xT 0.33SweeneyCameron Mcjannett: 48 passningar, xT 0.11McjannettGeza David Turi: 38 passningar, xT 0.04TuriChristy James Pym: 32 passningar, xT 0.06PymHarvey Rodgers: 30 passningar, xT 0.01RodgersMaldini Kacurri: 24 passningar, xT 0.04KacurriCharles Vernam: 22 passningar, xT 0.23VernamKieran Green: 14 passningar, xT 0.04GreenCian Doyle: 14 passningar, xT 0DoyleJustin Ikechukwu Obiora Amaluzor: 8 passningar, xT 0.02AmaluzorRyley John Stephen Reynolds: 6 passningar, xT 0.02Reynolds

    The teams in numbers

    PerformanceWalsallGrimsby Town
    Points33
    xPoints22.1
    xG per match32.5
    xGA per match1.30.97
    xG within 8s of winning the ball0.410.65
    xGA within 8s of losing the ball00.41
    Playing styleWalsallGrimsby Town
    Build-up efficiency0.360.32
    Field tilt0.480.69
    xT per match0.781.3
    xTA per match0.970.36
    Won balls, offensive half2344
    Pressing intensity0.220.18
    Pressing efficiency0.390.38
    Pressing efficiency, offensive half0.40.3
    Entries into the box per match1423
    Entries into the box against137
    Pass completion %0.690.66
    Pass completion % under pressure0.720.58
    Passes per match288306
    Passes against per match203262
    Switches of play per match24.728.8
    Long balls per match3037
    Set piecesWalsallGrimsby Town
    xG from free kicks0.070.05
    Corners per match8.66.2
    Corners against per match5.73.1
    xG per corner0.050.07
    xGA per corner against0.010
    First touch, offensive corners %0.560.5
    First touch, defensive corners %0.670.67
    OtherWalsallGrimsby Town
    Throw-in control0.690.69
    The goalkeepersJed MacAulay Ward (Walsall)Christy James Pym (Grimsby Town)
    Saves72
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Walsall vs Grimsby Town according to our model?

    The model gives Grimsby Town a 44% win probability. Full 1X2 picture: Walsall 29%, draw 27%, Grimsby Town 44%.

    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 42% and under at 58%.

    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.