EFL League OneJohn Smith's Stadium, Huddersfield17°17 km/h

    Läs på svenska
    Huddersfield TownHuddersfield TownPossession control
    vs
    WimbledonWimbledonLow block & direct
    The model's lean: 1 · Huddersfield Town (56%)Best value by the model: 2 · Wimbledon @ 5.11 (+5 %)

    Huddersfield TownWimbledon · EFL League One

    1 · Huddersfield Town 56%X 23%21% Wimbledon · 2

    Analysis: Huddersfield TownWimbledon

    Erik Lindberg · · How the predictions work

    Huddersfield Town's recent form suggests they're a team on the rise, having found the back of the net in nine consecutive league matches. Their style of play, which emphasizes possession control, is likely to create opportunities against AFC Wimbledon, who lean towards a low defensive block and direct play. With the model giving Huddersfield a 56% probability of winning, and their expected goals standing at 1.86 compared to Wimbledon's 1.01, the scales tip heavily in favor of the home side.

    AFC Wimbledon, meanwhile, only has a 21% chance of victory according to the model, but there's a slight glimmer of value for the daring punter. Betsafe, Betsson, and Nordicbet all offer odds of 4.95 for a Wimbledon win, providing a 2% edge over the model's estimation. Whether that's worth a punt depends on your appetite for risk, but it's worth noting that the head-to-head sample is small, with just two matches since 2023, in which Huddersfield have won one and drawn one.

    The most likely scorelines—1-1, 1-0, and 2-1—illustrate the competitive nature of League One, where fine margins often dictate outcomes. Huddersfield's prowess in attack and their ability to control games signal a probable 2-1 victory, fitting well within the 55% probability for over 2.5 goals. The numbers also suggest a 54% chance that both teams will find the net, meaning Wimbledon might just squeeze a goal through their direct approach.

    Points and xPoints both lean towards Huddersfield, reinforcing the notion that they should edge this contest. With Huddersfield's xG per match at 1.4 compared to Wimbledon's 1.2, alongside a tighter xGA, Huddersfield Town should have the upper hand.

    So where does the sharp betting angle lie? Despite the strong case for Huddersfield, the marginal value on a Wimbledon upset at those tempting odds could appeal to the adventurous. Yet, conventional wisdom backed by form and statistics suggests Huddersfield to triumph, likely in a match where goals aren't in short supply.

    Huddersfield TownHuddersfield Town
    Form DDDLW
    League ranking xG #9xGA #6xT #8xP/match #7Points #9
    Key players
    • Bojan RadulovicFxG 0.38 · xT 0.06
    • Leo CastledineLWxG 0.35 · xT 0.09
    • Lynden Jack GoochRWxG 0.08 · xT 0.16
    WimbledonWimbledon
    Form LLLWL
    League ranking xG #12xGA #18xT #20xP/match #14Points #19
    Key players
    • Omar Khaled ChaabanFxG 0.30 · xT 0.04
    • Marcus BrowneFxG 0.25 · xT 0.03
    • Steven Jeffrey SeddonLWBxG 0.03 · xT 0.20

    Match prediction: Huddersfield TownWimbledon

    Predicted score matrix

    Wimbledon
    Huddersfield Town
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–15.4%
    0–22.9%
    0–31.0%
    0–4+0.3%
    1
    1–010.2%
    1–111.0%
    1–25.4%
    1–31.8%
    1–4+0.6%
    2
    2–09.8%
    2–19.9%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–06.1%
    3–16.1%
    3–23.1%
    3–31.0%
    3–4+0.3%
    4+
    4+–04.3%
    4+–14.4%
    4+–22.2%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.2-010%
    5. 5.3-16%
    Expected goals
    1,861,01
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.08
    Over 2,555%
    @1.74

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Huddersfield Town to win56%
    • Over 1.5 goals78%

    Combined probability

    47%

    Fair odds

    2.14

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

    02 · 3 legs

    Balanced

    • Huddersfield Town to win56%
    • Over 2.5 goals55%
    • Marcus Anthony Myers-Harness to score33%

    Combined probability

    12%

    Fair odds

    8.28

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score54%
    • Over 2.5 goals55%
    • Marcus Anthony Myers-Harness to score33%
    • Alistair Oluwashaun Smith to be booked23%

    Combined probability

    3%

    Fair odds

    30.50

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 2 · Wimbledon21% probability@5.11PinnacleEV+5%
    • 2 · Wimbledon21% probability@4.95BetsafeEV+2%
    • 2 · Wimbledon21% probability@4.95BetssonEV+2%
    Bookmaker1 · Huddersfield TownX2 · Wimbledon
    Betsafe1.623.85
    EV+ 2%
    4.95
    Betsson1.623.85
    EV+ 2%
    4.95
    Nordicbet1.623.85
    EV+ 2%
    4.95
    Pinnacle1.594.15
    EV+ 5%
    5.11

    Odds updated 13 Aug, 14:35

    Odds movement

    1-3 %
    61 %56 %

    1.641.59

    X+3 %
    25 %20 %

    4.044.15

    2+6 %
    21 %16 %

    4.815.11

    Over 2,5-1 %
    57 %52 %

    1.761.74

    Pinnacle · 2 recorded price levels · 11/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Huddersfield Town 1Draw 1Wimbledon 0
    Goals: 73 (⌀ 5)

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

    Key facts

    • Huddersfield Town have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Huddersfield Town
    Wimbledon
    When goals are scored and conceded 2025
    Huddersfield Town (7464)
    Wimbledon (5172)
    Pass networks

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

    Huddersfield Town
    Murray Wallace: 227 passningar, xT -0.02WallaceSean Roughan: 224 passningar, xT 0.38RoughanCameron Humphreys: 156 passningar, xT 1.08HumphreysRyan Graham Ledson: 136 passningar, xT 0.8LedsonRadinio Balker: 132 passningar, xT 0.26BalkerLasse Sorensen: 109 passningar, xT 0.54SorensenMarcus Anthony Myers-Harness: 105 passningar, xT 0.3Myers-HarnessBali Mumba: 89 passningar, xT 0.43MumbaMarcus Samuel Michael McGuane: 75 passningar, xT 0.12McGuaneAlfie May: 57 passningar, xT 0.14MayJak Alnwick: 39 passningar, xT 0.04Alnwick
    Wimbledon
    Steven Jeffrey Seddon: 168 passningar, xT 0.73SeddonIsaac Ifeoluwa Foloronso Olushore Ogundere: 123 passningar, xT 0.16OgundereJake Kenny Reeves: 100 passningar, xT 0ReevesAlistair Oluwashaun Smith: 92 passningar, xT 0.11SmithRyan Anthony Johnson: 76 passningar, xT 0.09JohnsonNathan George Asiimwe: 61 passningar, xT 0.5AsiimweCallum Maycock: 59 passningar, xT 0.09MaycockJames Tilley: 53 passningar, xT 0.54TilleyZack Nelson: 45 passningar, xT 0.39NelsonRobert Junior Forzah Nkeng: 41 passningar, xT 0.04NkengNathan Bishop: 35 passningar, xT 0.14Bishop
    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.

    Huddersfield Town
    Murray Wallace: 227 passningar, xT -0.02WallaceSean Roughan: 224 passningar, xT 0.38RoughanCameron Humphreys: 156 passningar, xT 1.08HumphreysRyan Graham Ledson: 136 passningar, xT 0.8LedsonRadinio Balker: 132 passningar, xT 0.26BalkerLasse Sorensen: 109 passningar, xT 0.54SorensenMarcus Anthony Myers-Harness: 105 passningar, xT 0.3Myers-HarnessBali Mumba: 89 passningar, xT 0.43MumbaMarcus Samuel Michael McGuane: 75 passningar, xT 0.12McGuaneAlfie May: 57 passningar, xT 0.14MayJak Alnwick: 39 passningar, xT 0.04Alnwick
    Wimbledon
    Steven Jeffrey Seddon: 168 passningar, xT 0.73SeddonIsaac Ifeoluwa Foloronso Olushore Ogundere: 123 passningar, xT 0.16OgundereJake Kenny Reeves: 100 passningar, xT 0ReevesAlistair Oluwashaun Smith: 92 passningar, xT 0.11SmithRyan Anthony Johnson: 76 passningar, xT 0.09JohnsonNathan George Asiimwe: 61 passningar, xT 0.5AsiimweCallum Maycock: 59 passningar, xT 0.09MaycockJames Tilley: 53 passningar, xT 0.54TilleyZack Nelson: 45 passningar, xT 0.39NelsonRobert Junior Forzah Nkeng: 41 passningar, xT 0.04NkengNathan Bishop: 35 passningar, xT 0.14Bishop

    The teams in numbers

    PerformanceHuddersfield TownWimbledon
    Points6753
    xPoints69.761.8
    xG per match1.41.2
    xGA per match1.21.4
    xG within 8s of winning the ball0.220.2
    xGA within 8s of losing the ball0.160.18
    Playing styleHuddersfield TownWimbledon
    Build-up efficiency0.30.33
    Field tilt0.50.47
    xT per match0.90.76
    xTA per match0.80.92
    Won balls, offensive half2529
    Pressing intensity0.230.23
    Pressing efficiency0.330.35
    Pressing efficiency, offensive half0.350.35
    Entries into the box per match129
    Entries into the box against1012
    Pass completion %0.70.65
    Pass completion % under pressure0.660.63
    Passes per match307256
    Passes against per match307317
    Switches of play per match18.713.3
    Long balls per match2524
    Set piecesHuddersfield TownWimbledon
    xG from free kicks0.090.11
    Corners per match5.84.8
    Corners against per match4.65.1
    xG per corner0.050.04
    xGA per corner against0.050.05
    First touch, offensive corners %0.340.35
    First touch, defensive corners %0.620.64
    OtherHuddersfield TownWimbledon
    Throw-in control0.690.68
    The goalkeepersLee Nicholls (Huddersfield Town)Nathan Bishop (Wimbledon)
    Saves8397
    Save %69%63%
    xG prevented43%37%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Huddersfield Town vs Wimbledon according to our model?

    The model gives Huddersfield Town a 56% win probability. Full 1X2 picture: Huddersfield Town 56%, draw 23%, Wimbledon 21%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.