EFL League TwoBlundell Park, Cleethorpes14°0,8 mm26 km/h

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    Grimsby TownGrimsby TownPossession control
    vs
    Crawley TownCrawley TownPossession control
    The model's lean: 1 · Grimsby Town (61%)

    Grimsby TownCrawley Town · EFL League Two

    1 · Grimsby Town 61%X 22%17% Crawley Town · 2

    Analysis: Grimsby TownCrawley Town

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

    Grimsby Town's unbeaten streak in their last six league matches gives them a formidable edge as they host Crawley Town. The model gives the hosts a substantial 61% win probability, underscoring their dominance in recent form. Although the head-to-head sample is small, favoring the Mariners with two wins this year, the real story lies in their recent performances and expected goals.

    The expected goals (xG) figures favor Grimsby, with 2.03 compared to Crawley's 0.99, suggesting the home side is likely to generate more and better chances. Both teams adopt a possession control style, which can sometimes lead to a tactical deadlock. However, Grimsby's superior xG and xGA metrics point to their ability to convert possession into meaningful opportunities more effectively than their southern counterparts.

    Crawley Town, with a win probability of just 17%, face an uphill battle. Their higher expected goals against (xGA) of 1.9 per match further amplifies their defensive vulnerabilities. While both teams are likely to score given the 55% probability for both sides finding the net, Grimsby's defensive solidity — evidenced by their unbeaten run — suggests they are better equipped to handle Crawley's attack.

    The most likely scorelines, such as 1-1, 2-0, and 2-1, each carry a 10% probability. This balance between a solid Grimsby win and a potential Crawley upset leans toward a moderate-scoring affair, with over 2.5 goals at 58%. Despite both teams preferring to control possession, the model indicates more than two goals are expected.

    The sharpest play here lies with Grimsby Town, backed by their strong league form and favorable metrics. For punters seeking value, BetVictor's 2.05 odds for a home win offer a reasonable edge without stretching into overconfidence.

    Grimsby TownGrimsby Town
    Form WDDDD
    League ranking xG #4xGA #12xT #3xP/match #15Points #11
    Key players
    • Andy CookFxG 0.50 · xT 0.08
    • Jayden Deslandes SweeneyLBxG 0.07 · xT 0.17
    • Harvey RodgersRWBxG 0.10 · xT 0.07
    Crawley TownCrawley Town
    Form LWLDL
    League ranking xG #11xGA #24xT #16xP/match #20Points #21
    Key players
    • Adetokunbo Bamidele AdeyemoRWxG 0.07 · xT 0.14
    • Jude ArthursCMxG 0.18 · xT 0.04
    • Charlie Mel BarkerCBxG 0.01 · xT 0.07

    Match prediction: Grimsby TownCrawley Town

    Predicted score matrix

    Crawley Town
    Grimsby Town
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.5%
    0–22.4%
    0–30.8%
    0–4+0.2%
    1
    1–09.6%
    1–110.1%
    1–24.9%
    1–31.6%
    1–4+0.5%
    2
    2–010.1%
    2–110.0%
    2–24.9%
    2–31.6%
    2–4+0.5%
    3
    3–06.8%
    3–16.7%
    3–23.3%
    3–31.1%
    3–4+0.3%
    4+
    4+–05.5%
    4+–15.4%
    4+–22.7%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-010%
    3. 3.2-110%
    4. 4.1-010%
    5. 5.3-07%
    Expected goals
    2,030,99
    Both teams to score
    55%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    Over 2,558%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Grimsby Town to win61%
    • Over 1.5 goals81%

    Combined probability

    51%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Grimsby Town to win61%
    • Over 2.5 goals58%
    • Andrew Ellis Cook to score36%

    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 score55%
    • Over 2.5 goals58%
    • Andrew Ellis Cook to score36%
    • Jude Arthurs to be booked26%

    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

    2 matches
    Grimsby Town 2Draw 0Crawley Town 0
    Goals: 50 (⌀ 2,5)

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

    Key facts

    • Grimsby Town are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Grimsby Town
    Crawley Town
    When goals are scored and conceded 2026
    Grimsby Town (76)
    Crawley Town (58)
    Pass networks

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

    Grimsby Town
    Cameron Mcjannett: 217 passningar, xT 0.57McjannettJayden Deslandes Sweeney: 209 passningar, xT 0.76SweeneyMaldini Kacurri: 179 passningar, xT 0.32KacurriGeza David Turi: 170 passningar, xT 0.51TuriHarvey Rodgers: 154 passningar, xT 0.33RodgersChristy James Pym: 119 passningar, xT 0.37PymCharles Vernam: 82 passningar, xT 0.56VernamCian Doyle: 78 passningar, xT 0.36DoyleKieran Green: 69 passningar, xT 1GreenDavid Harrington: 42 passningar, xT 0.1HarringtonIwan Tomas Morgan: 42 passningar, xT 0.49Morgan
    Crawley Town
    Charlie Mel Barker: 306 passningar, xT 0.37BarkerPriestley Tyler Heginbottom Farquharson: 228 passningar, xT 0.31FarquharsonJude Arthurs: 216 passningar, xT 0.16ArthursAdetokunbo Bamidele Adeyemo: 159 passningar, xT 0.53AdeyemoLouie Shaun Watson: 118 passningar, xT 0.01WatsonKlaudio Krasniqi: 105 passningar, xT 0.16KrasniqiAkinwale Joseph Odimayo: 99 passningar, xT 0.24OdimayoJackson Izquierdo: 90 passningar, xT 0.06IzquierdoNicholas Jake Michalski: 75 passningar, xT 0.08MichalskiJonathan Russell: 53 passningar, xT -0.22RussellOsman Hassan Kamara: 51 passningar, xT 0.56Kamara
    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.

    Grimsby Town
    Cameron Mcjannett: 217 passningar, xT 0.57McjannettJayden Deslandes Sweeney: 209 passningar, xT 0.76SweeneyMaldini Kacurri: 179 passningar, xT 0.32KacurriGeza David Turi: 170 passningar, xT 0.51TuriHarvey Rodgers: 154 passningar, xT 0.33RodgersChristy James Pym: 119 passningar, xT 0.37PymCharles Vernam: 82 passningar, xT 0.56VernamCian Doyle: 78 passningar, xT 0.36DoyleKieran Green: 69 passningar, xT 1GreenDavid Harrington: 42 passningar, xT 0.1HarringtonIwan Tomas Morgan: 42 passningar, xT 0.49Morgan
    Crawley Town
    Charlie Mel Barker: 306 passningar, xT 0.37BarkerPriestley Tyler Heginbottom Farquharson: 228 passningar, xT 0.31FarquharsonJude Arthurs: 216 passningar, xT 0.16ArthursAdetokunbo Bamidele Adeyemo: 159 passningar, xT 0.53AdeyemoLouie Shaun Watson: 118 passningar, xT 0.01WatsonKlaudio Krasniqi: 105 passningar, xT 0.16KrasniqiAkinwale Joseph Odimayo: 99 passningar, xT 0.24OdimayoJackson Izquierdo: 90 passningar, xT 0.06IzquierdoNicholas Jake Michalski: 75 passningar, xT 0.08MichalskiJonathan Russell: 53 passningar, xT -0.22RussellOsman Hassan Kamara: 51 passningar, xT 0.56Kamara

    The teams in numbers

    PerformanceGrimsby TownCrawley Town
    Points74
    xPoints6.55.7
    xG per match1.81.4
    xGA per match1.41.9
    xG within 8s of winning the ball0.330.26
    xGA within 8s of losing the ball0.170.41
    Playing styleGrimsby TownCrawley Town
    Build-up efficiency0.330.32
    Field tilt0.580.54
    xT per match1.30.77
    xTA per match0.771.2
    Won balls, offensive half3522
    Pressing intensity0.220.23
    Pressing efficiency0.410.37
    Pressing efficiency, offensive half0.420.35
    Entries into the box per match1611
    Entries into the box against914
    Pass completion %0.680.74
    Pass completion % under pressure0.650.68
    Passes per match309341
    Passes against per match241227
    Switches of play per match2624.8
    Long balls per match3826
    Set piecesGrimsby TownCrawley Town
    xG from free kicks0.050.05
    Corners per match73.3
    Corners against per match4.24.9
    xG per corner0.040.05
    xGA per corner against0.050.04
    First touch, offensive corners %0.320.41
    First touch, defensive corners %0.570.52
    OtherGrimsby TownCrawley Town
    Throw-in control0.690.8
    The goalkeepersChristy James Pym (Grimsby Town)Nicholas Jake Michalski (Crawley Town)
    Saves98
    Save %75%67%
    xG prevented45%59%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Grimsby Town vs Crawley Town according to our model?

    The model gives Grimsby Town a 61% win probability. Full 1X2 picture: Grimsby Town 61%, draw 22%, Crawley Town 17%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.