EFL League OnePlough Lane, London8°18 km/h

    Läs på svenska
    WimbledonWimbledonLow block & direct
    vs
    Wycombe WanderersWycombe WanderersPossession control
    The model's lean: 2 · Wycombe Wanderers (39%)Best value by the model: X · Draw @ 3.50 (+4 %)

    Wimbledon vs Wycombe Wanderers · EFL League One

    1 · Wimbledon 32%X 30%39% Wycombe Wanderers · 2

    Prediction summary

    BetBuilders AI model prediction for Wimbledon vs Wycombe Wanderers (EFL League One, Saturday, 24 October 2026): Wimbledon win 32%, draw 30%, Wycombe Wanderers win 39%. Expected goals (xG): Wimbledon 1.22, Wycombe Wanderers 1.38. Most likely score: 1-1 (13%). Over 2.5 goals 48%, both teams to score 53%. Double chance: Wimbledon or draw 61%, Wycombe Wanderers or draw 68%. Prediction updated Friday, 16 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Wimbledon – Wycombe Wanderers

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

    Wycombe Wanderers' ability to score in 11 straight league matches presents a compelling case for backing the visitors, especially given their 39% win probability. Despite Wimbledon having a slight edge in points, the xPoints lean towards Wycombe, suggesting their underlying performances have been stronger. This clash of styles—Wimbledon's direct approach versus Wycombe's possession focus—adds an intriguing tactical layer, but the numbers suggest the visitors might just have the upper hand.

    In terms of expected goals, Wimbledon sits at 1.22 compared to Wycombe's 1.38, indicating a slight attacking advantage for the away team. The most likely scoreline, a 1-1 draw at 13%, reflects the market's expectation of a closely contested match. However, the model also sees a 10% chance of a 0-1 Wycombe win, which aligns with their recent scoring consistency and defensive vulnerabilities on both sides.

    Despite Wimbledon winning one of the two recent head-to-head encounters, the sample is too small to heavily influence predictions. Wycombe's scoring streak and their control-based style could cause issues for Wimbledon, though on xGA per match, Wimbledon actually holds the edge (1.5 vs Wycombe's 1.7), suggesting their defense has been comparatively more solid. This may offset some of Wycombe's attacking threat, despite Wimbledon's home advantage.

    With an over 2.5 goals probability at 48% and both teams to score at 53%, the market leans slightly towards a tight scoring game, but not decisively. The tension here revolves around whether Wycombe can convert their possession into goals against a side that prefers to keep things tight and direct.

    In terms of betting value, Wycombe Wanderers are worth a look given their slight edge across several predictive metrics. As always, this is an assessment, not a guarantee.

    WimbledonWimbledon
    Form WWDDL
    League ranking xG #18xGA #16xT #15xP/match #18Points #12
    Key players
    • Steven Jeffrey SeddonLWxG 0.08 · xT 0.14
    • Jayden Connor StockleyFxG 0.32 · xT 0.02
    • Andrew Kyere YiadomRBxG 0.03 · xT 0.08
    Wycombe WanderersWycombe Wanderers
    Form DWWDL
    League ranking xG #11xGA #19xT #8xP/match #17Points #15
    Key players
    • Ewan HendersonCMxG 0.08 · xT 0.21
    • Jayden WarehamFxG 0.50 · xT 0.00
    • Daniel HarvieLBxG 0.17 · xT 0.19

    Match prediction: Wimbledon – Wycombe Wanderers

    Predicted score matrix

    Wycombe Wanderers →
    Wimbledon →
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–19.9%
    0–27.0%
    0–33.2%
    0–4+1.5%
    1
    1–08.7%
    1–112.9%
    1–28.6%
    1–33.9%
    1–4+1.8%
    2
    2–05.6%
    2–17.7%
    2–25.3%
    2–32.4%
    2–4+1.1%
    3
    3–02.3%
    3–13.1%
    3–22.1%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.9%
    4+–11.2%
    4+–20.9%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-09%
    4. 4.1-29%
    5. 5.0-08%
    Expected goals
    1,22–1,38
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @1.91
    Over 2,548%
    @1.80

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Wycombe Wanderers or draw (X2)67%
    • Under 3.5 goals74%

    Combined probability

    49%

    Fair odds

    2.02

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

    02 · 3 legs

    Balanced

    • Double chance Wycombe Wanderers or draw (X2)67%
    • Under 2.5 goals52%
    • Luke Leahy 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 score53%
    • Over 2.5 goals48%
    • Luke Leahy to score26%
    • Alistair Oluwashaun Smith to be booked22%

    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+).

    • X · Draw30% probability@3.50LeoVegasEV+4%reference odds
    • Under 3.574% probability@1.36LeoVegasEV+0%reference odds
    Bookmaker1 · WimbledonX2 · Wycombe Wanderers
    LeoVegas3.05
    EV+ 4%
    3.50
    2.10

    Odds updated 17 Oct, 20:37

    Odds movement

    1+11 %
    36 %26 %

    2.75 → 3.05

    X+9 %
    32 %22 %

    3.20 → 3.50

    2-12 %
    46 %36 %

    2.40 → 2.10

    LeoVegas · 3 recorded price levels · 17/10/2026 → 17/10/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Wimbledon 1Draw 0Wycombe Wanderers 1
    Goals: 2–3 (⌀ 2,5)

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

    Key facts

    • Wycombe Wanderers have scored in 11 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Wimbledon
    Wycombe Wanderers
    When goals are scored and conceded — 2026
    Wimbledon (7–10)
    Wycombe Wanderers (14–20)
    Pass networks

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

    Wimbledon
    Ollie Harrison: 125 passningar, xT 0.87HarrisonSteven Jeffrey Seddon: 123 passningar, xT 0.72SeddonAlistair Oluwashaun Smith: 118 passningar, xT -0.05SmithJosef John Bursik: 89 passningar, xT 0.36BursikMyles Elliot Zach Hippolyte: 85 passningar, xT 0.34HippolyteRyan Anthony Johnson: 82 passningar, xT 0.2JohnsonIsaac Ifeoluwa Foloronso Olushore Ogundere: 76 passningar, xT 0.18OgundereCallum Maycock: 58 passningar, xT 0.24MaycockDaniel Liam Sweeney: 52 passningar, xT 0.07SweeneyJayden Connor Stockley: 49 passningar, xT 0.07StockleyZeze Steven Sessegnon: 43 passningar, xT 0.16Sessegnon
    Wycombe Wanderers
    Connor Taylor: 191 passningar, xT 0.24TaylorDan Casey: 180 passningar, xT 0.23CaseySteve Anthony Cook: 155 passningar, xT 0.3CookEwan Henderson: 133 passningar, xT 1.15HendersonDaniel Harvie: 118 passningar, xT 0.74HarvieAaron Morley: 115 passningar, xT 0.45MorleyConor William Hazard: 106 passningar, xT 0.11HazardFred Onyedinma: 97 passningar, xT 1.05OnyedinmaJosh Scowen: 93 passningar, xT 0.62ScowenCaolan Stephen Boyd-Munce: 93 passningar, xT 0.35Boyd-MunceJack Grimmer: 71 passningar, xT 0.26Grimmer
    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.

    Wimbledon
    Ollie Harrison: 125 passningar, xT 0.87HarrisonSteven Jeffrey Seddon: 123 passningar, xT 0.72SeddonAlistair Oluwashaun Smith: 118 passningar, xT -0.05SmithJosef John Bursik: 89 passningar, xT 0.36BursikMyles Elliot Zach Hippolyte: 85 passningar, xT 0.34HippolyteRyan Anthony Johnson: 82 passningar, xT 0.2JohnsonIsaac Ifeoluwa Foloronso Olushore Ogundere: 76 passningar, xT 0.18OgundereCallum Maycock: 58 passningar, xT 0.24MaycockDaniel Liam Sweeney: 52 passningar, xT 0.07SweeneyJayden Connor Stockley: 49 passningar, xT 0.07StockleyZeze Steven Sessegnon: 43 passningar, xT 0.16Sessegnon
    Wycombe Wanderers
    Connor Taylor: 191 passningar, xT 0.24TaylorDan Casey: 180 passningar, xT 0.23CaseySteve Anthony Cook: 155 passningar, xT 0.3CookEwan Henderson: 133 passningar, xT 1.15HendersonDaniel Harvie: 118 passningar, xT 0.74HarvieAaron Morley: 115 passningar, xT 0.45MorleyConor William Hazard: 106 passningar, xT 0.11HazardFred Onyedinma: 97 passningar, xT 1.05OnyedinmaJosh Scowen: 93 passningar, xT 0.62ScowenCaolan Stephen Boyd-Munce: 93 passningar, xT 0.35Boyd-MunceJack Grimmer: 71 passningar, xT 0.26Grimmer

    The teams in numbers

    PerformanceWimbledonWycombe Wanderers
    Points1210
    xPoints10.611.1
    xG per match1.11.5
    xGA per match1.51.7
    xG within 8s of winning the ball0.20.18
    xGA within 8s of losing the ball0.20.27
    Playing styleWimbledonWycombe Wanderers
    Build-up efficiency0.330.32
    Field tilt0.480.48
    xT per match0.941.1
    xTA per match1.10.96
    Won balls, offensive half2923
    Pressing intensity0.240.22
    Pressing efficiency0.340.32
    Pressing efficiency, offensive half0.310.29
    Entries into the box per match1214
    Entries into the box against1312
    Pass completion %0.640.71
    Pass completion % under pressure0.620.65
    Passes per match241312
    Passes against per match308320
    Switches of play per match12.522.7
    Long balls per match2634
    Set piecesWimbledonWycombe Wanderers
    xG from free kicks0.050.19
    Corners per match5.55.3
    Corners against per match5.85.5
    xG per corner0.030.07
    xGA per corner against0.020.03
    First touch, offensive corners %0.410.4
    First touch, defensive corners %0.620.62
    OtherWimbledonWycombe Wanderers
    Throw-in control0.730.71
    The goalkeepersJosef John Bursik (Wimbledon)Conor William Hazard (Wycombe Wanderers)
    Saves2325
    Save %89%60%
    xG prevented87%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wimbledon vs Wycombe Wanderers according to our model?

    The model gives Wycombe Wanderers a 39% win probability. Full 1X2 picture: Wimbledon 32%, draw 30%, Wycombe Wanderers 39%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Wimbledon vs Wycombe Wanderers?

    The model expects 1.22 goals (xG) for Wimbledon and 1.38 for Wycombe Wanderers, 2.60 in total.

    What does the model say about double chance?

    Wimbledon or draw (1X) 61%, Wycombe Wanderers or draw (X2) 68% and no draw (12) 70%.

    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.