EFL League TwoRodney Parade, Newport15°11 km/h

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    Newport CountyNewport CountyLow block & direct
    vs
    Grimsby TownGrimsby TownPossession control
    The model's lean: 2 · Grimsby Town (53%)Best value by the model: Under 2,5 @ 1.99 (+12 %)

    Newport County vs Grimsby Town · EFL League Two

    1 · Newport County 21%X 25%53% Grimsby Town · 2

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    Analysis: Newport County – Grimsby Town

    Anna Karlsson · · A data-driven preview · How the predictions work

    Grimsby Town's recent form paints a compelling picture: unbeaten in their last eight league encounters, they arrive at this clash with Newport County brimming with confidence. The head-to-head record tells a similar tale, albeit from a small sample of just four matches since 2023, where Grimsby has notched two wins and two draws against the hosts. Newport's struggle to break this pattern adds a layer of intrigue to what otherwise appears a straightforward matchup on paper.

    Despite the visitors' unbeaten streak, the model's probabilities suggest that while Grimsby holds a 53% chance of winning, a draw isn't far-fetched at 25%. Interestingly, the most likely scorelines of 1-1 and 0-1 underscore the potential for a tight contest. The expected goals (xG) metrics also give Grimsby a slight edge with 1.37 compared to Newport's 1.05, aligning with the visitors' possession-based style against Newport's direct approach.

    Both teams demonstrate contrasting playing styles, but the data implies that Newport's leaky defense (xGA 1.4) might struggle against Grimsby’s more controlled, possession-heavy game (xGA 1.1). While Newport has shown resilience in terms of xPoints (8.6 over Grimsby's 8.3), their actual points tally tells a different story, highlighting the importance of converting expected metrics into tangible results.

    The sharpest betting angle lies in the under 0.5 goals market with Betsafe, Betsson, and Nordicbet offering odds of 12.0. The model rates this outcome at 9%, providing an 11% edge for those eyeing value. With the potential for a low-scoring affair already factored into the model, this wager stands out as the most intriguing proposition for punters looking to capitalize on the nuances of this League Two encounter.

    Newport CountyNewport County
    Form DLLDD
    League ranking xG #16xGA #13xT #14xP/match #11Points #20
    Key players
    • Christian Rhys DoidgeFxG 0.55 · xT 0.11
    • Harrison BigginsCAMxG 0.09 · xT 0.18
    • Shaquille GwengweFxG 0.17 · xT 0.02
    Grimsby TownGrimsby Town
    Form DDDWW
    League ranking xG #6xGA #7xT #2xP/match #13Points #6
    Key players
    • Andy CookFxG 0.42 · xT 0.07
    • Charles VernamLWxG 0.17 · xT 0.16
    • Harvey RodgersRWBxG 0.09 · xT 0.06

    Match prediction: Newport County – Grimsby Town

    Predicted score matrix

    Grimsby Town →
    Newport County →
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–111.8%
    0–28.3%
    0–33.8%
    0–4+1.7%
    1
    1–09.0%
    1–113.2%
    1–28.7%
    1–34.0%
    1–4+1.8%
    2
    2–04.9%
    2–16.7%
    2–24.6%
    2–32.1%
    2–4+1.0%
    3
    3–01.7%
    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. 3.0-09%
    4. 4.1-09%
    5. 5.1-29%
    Expected goals
    1,05–1,37
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.99EV+8%
    Over 2,544%
    @1.83

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Grimsby Town to win53%
    • Under 3.5 goals77%

    Combined probability

    33%

    Fair odds

    3.07

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

    02 · 3 legs

    Balanced

    • Grimsby Town to win53%
    • Under 2.5 goals56%
    • Ryley John Stephen Reynolds to score23%

    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%
    • Ryley John Stephen Reynolds to score23%
    • Lee Thomas Jenkins 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+).

    • Under 2.556% probability@1.99PinnacleEV+12%reference odds
    • Under 0.59% probability@12.00BetsafeEV+11%reference odds
    • Under 0.59% probability@12.00BetssonEV+11%reference odds
    Bookmaker1 · Newport CountyX2 · Grimsby Town
    Betsafe4.103.451.80
    Betsson4.103.451.80
    Nordicbet4.103.451.80
    Pinnacle4.293.731.80

    Odds updated 25 Sept, 14:24

    Odds movement

    1+1 %
    25 %20 %

    4.23 → 4.29

    X+2 %
    28 %23 %

    3.67 → 3.73

    2+1 %
    55 %50 %

    1.79 → 1.80

    Over 2,50 %
    54 %49 %

    1.83 → 1.83

    Pinnacle · 4 recorded price levels · 20/09/2026 → 25/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Newport County 0Draw 2Grimsby Town 2
    Goals: 1–3 (⌀ 1)

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

    Key facts

    • Grimsby Town are unbeaten in their last 8 league matches.
    xG & xGA per match — 3-game rolling average

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

    Newport County
    Grimsby Town
    When goals are scored and conceded — 2026
    Newport County (10–11)
    Grimsby Town (11–6)
    Pass networks

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

    Newport County
    Harrison Biggins: 106 passningar, xT 0.79BigginsCameron Pearce Norman: 103 passningar, xT 0.67NormanCiaran Brennan: 98 passningar, xT 0.07BrennanLee Thomas Jenkins: 77 passningar, xT 0.45JenkinsKyle Milne Cameron: 72 passningar, xT 0.13CameronJordan Wright: 71 passningar, xT 0.24WrightMatthew James Jacob: 58 passningar, xT 0.57JacobMatthew Max Dibley-Dias: 57 passningar, xT 0.04Dibley-DiasJoe Thomas: 50 passningar, xT 0.12ThomasKieron Evans: 28 passningar, xT 0.08EvansYahaya Abdoul Bamba: 18 passningar, xT -0.1Bamba
    Grimsby Town
    Jayden Deslandes Sweeney: 173 passningar, xT 0.46SweeneyCameron Mcjannett: 164 passningar, xT 0.36McjannettGeza David Turi: 154 passningar, xT 0.57TuriMaldini Kacurri: 150 passningar, xT 0.32KacurriHarvey Rodgers: 125 passningar, xT 0.35RodgersCharles Vernam: 78 passningar, xT 0.81VernamKieran Green: 74 passningar, xT 1.45GreenChristy James Pym: 73 passningar, xT 0.18PymDavid Harrington: 60 passningar, xT 0.13HarringtonMark John Shelton: 51 passningar, xT 0.3SheltonCian Doyle: 48 passningar, xT 0.11Doyle
    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.

    Newport County
    Harrison Biggins: 106 passningar, xT 0.79BigginsCameron Pearce Norman: 103 passningar, xT 0.67NormanCiaran Brennan: 98 passningar, xT 0.07BrennanLee Thomas Jenkins: 77 passningar, xT 0.45JenkinsKyle Milne Cameron: 72 passningar, xT 0.13CameronJordan Wright: 71 passningar, xT 0.24WrightMatthew James Jacob: 58 passningar, xT 0.57JacobMatthew Max Dibley-Dias: 57 passningar, xT 0.04Dibley-DiasJoe Thomas: 50 passningar, xT 0.12ThomasKieron Evans: 28 passningar, xT 0.08EvansYahaya Abdoul Bamba: 18 passningar, xT -0.1Bamba
    Grimsby Town
    Jayden Deslandes Sweeney: 173 passningar, xT 0.46SweeneyCameron Mcjannett: 164 passningar, xT 0.36McjannettGeza David Turi: 154 passningar, xT 0.57TuriMaldini Kacurri: 150 passningar, xT 0.32KacurriHarvey Rodgers: 125 passningar, xT 0.35RodgersCharles Vernam: 78 passningar, xT 0.81VernamKieran Green: 74 passningar, xT 1.45GreenChristy James Pym: 73 passningar, xT 0.18PymDavid Harrington: 60 passningar, xT 0.13HarringtonMark John Shelton: 51 passningar, xT 0.3SheltonCian Doyle: 48 passningar, xT 0.11Doyle

    The teams in numbers

    PerformanceNewport CountyGrimsby Town
    Points510
    xPoints8.68.3
    xG per match1.11.6
    xGA per match1.41.1
    xG within 8s of winning the ball0.10.28
    xGA within 8s of losing the ball0.260.15
    Playing styleNewport CountyGrimsby Town
    Build-up efficiency0.330.33
    Field tilt0.330.6
    xT per match0.851.2
    xTA per match0.970.66
    Won balls, offensive half3133
    Pressing intensity0.230.22
    Pressing efficiency0.320.43
    Pressing efficiency, offensive half0.310.44
    Entries into the box per match1115
    Entries into the box against158
    Pass completion %0.520.67
    Pass completion % under pressure0.520.62
    Passes per match151286
    Passes against per match313221
    Switches of play per match14.723.9
    Long balls per match2937
    Set piecesNewport CountyGrimsby Town
    xG from free kicks0.150.05
    Corners per match3.97.2
    Corners against per match6.44.8
    xG per corner0.040.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.390.31
    First touch, defensive corners %0.680.69
    OtherNewport CountyGrimsby Town
    Throw-in control0.780.69
    The goalkeepersJordan Wright (Newport County)Christy James Pym (Grimsby Town)
    Saves2010
    Save %67%77%
    xG prevented38%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Newport County vs Grimsby Town according to our model?

    The model gives Grimsby Town a 53% win probability. Full 1X2 picture: Newport County 21%, draw 25%, Grimsby Town 53%.

    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.