EFL League OneKassam Stadium, Oxford15°5,8 mm18 km/h

    Läs på svenska
    Oxford UnitedOxford UnitedPossession control
    vs
    Stockport CountyStockport CountyPossession & high press
    The model's lean: 2 · Stockport County (52%)

    Oxford United vs Stockport County · EFL League One

    1 · Oxford United 23%X 25%52% Stockport County · 2

    Bet on this match

    BetssonFå ett 250 kr gratisspel + 50 freespins på Pirots 4!Claim the bonus at Betsson
    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

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

    Analysis: Oxford United – Stockport County

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

    TEXT: Stockport County's high press could define this clash against Oxford United. Stockport are backed by a 52% win probability from the model, a decisive edge in what shapes up to be a closely contested League One encounter. Stockport's aggressive style has paid dividends, reflected in their 1.8 expected goals per match, significantly higher than Oxford's 1.2. Stockport's ability to maintain pressure and capitalize on opposition errors is likely to test Oxford's possession-based approach.

    Oxford, while sitting a point above Stockport in the standings, is arguably overperforming relative to their xPoints of 6.9 compared to Stockport's 9.9. Despite their current standing, the underlying metrics suggest that Oxford's results may not be sustainable. Their defense, leaking 1.7 expected goals against per match, will need to withstand Stockport's relentless attack if they are to come away with anything.

    The small head-to-head sample means little in this context. What matters more is how these teams have performed in the league so far. Stockport's higher xG and tighter defense underline their superiority in current form. Oxford's possession control might mitigate some of Stockport's chances, but Stockport's clinical edge should see them through.

    The model leans towards Stockport's favor, given the visitors' pressing style and superior expected goals data. The most likely scoreline of 1-1 at 11% probability reflects the high draw potential, but Stockport's pressing advantage could tilt the score in their favor, with an alternative 1-2 result carrying a 10% likelihood.

    With a 59% chance of over 2.5 goals and both teams likely to score, anticipate a dynamic encounter. However, Stockport's solid attack and Oxford's defensive vulnerabilities suggest a 0-1 or 1-2 scoreline, aligning with the model's projections and over/under expectations.

    Oxford UnitedOxford United
    Form WLWWD
    League ranking xG #16xGA #21xT #19xP/match #20Points #6
    Key players
    • Tyler GoodrhamLWxG 0.19 · xT 0.27
    • Cameron BrannaganCMxG 0.19 · xT 0.04
    • Siriki DembeleLWxG 0.18 · xT 0.11
    Stockport CountyStockport County
    Form WLWLD
    League ranking xG #5xGA #6xT #1xP/match #10Points #9
    Key players
    • Kyle WoottonFxG 0.60 · xT -0.05
    • Ethan PyeCBxG 0.02 · xT 0.09
    • Benjamin Jarrod OsbornLWxG 0.00 · xT 0.43

    Match prediction: Oxford United – Stockport County

    Predicted score matrix

    Stockport County →
    Oxford United →
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–18.9%
    0–28.8%
    0–35.7%
    0–4+4.2%
    1
    1–05.0%
    1–110.6%
    1–29.9%
    1–36.3%
    1–4+4.7%
    2
    2–03.0%
    2–15.7%
    2–25.5%
    2–33.5%
    2–4+2.6%
    3
    3–01.1%
    3–12.1%
    3–22.1%
    3–31.3%
    3–4+1.0%
    4+
    4+–00.4%
    4+–10.8%
    4+–20.7%
    4+–30.5%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.0-29%
    5. 5.1-36%
    Expected goals
    1,12–1,92
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    –
    Over 2,559%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Stockport County to win52%
    • Over 1.5 goals81%

    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

    • Stockport County to win52%
    • Over 2.5 goals59%
    • Kyle Leon Wootton to score32%

    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 score58%
    • Over 2.5 goals59%
    • Kyle Leon Wootton to score32%
    • Cameron Mark Thomas Brannagan 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

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Oxford United
    Stockport County
    When goals are scored and conceded — 2026
    Oxford United (13–7)
    Stockport County (16–10)
    Pass networks

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

    Oxford United
    Ciaron Brown: 263 passningar, xT 0.3BrownCameron Brannagan: 233 passningar, xT 0.17BrannaganMichal Helik: 174 passningar, xT 0.05HelikSimon Christopher Eastwood: 147 passningar, xT 0.1EastwoodJack Alexander Currie: 137 passningar, xT 0.48CurriePeter Kioso: 122 passningar, xT 0.11KiosoBrodie Gilmore Spencer: 99 passningar, xT 0.1SpencerKai Andrews: 90 passningar, xT 0.06AndrewsJamie Carson McDonnell: 83 passningar, xT -0.01McDonnellSam Long: 81 passningar, xT 0.07LongSiriki Dembele: 79 passningar, xT 0.44Dembele
    Stockport County
    Eoghan O'Connell: 376 passningar, xT 0.4O'ConnellOliver Norwood: 336 passningar, xT 0.76NorwoodEthan Pye: 274 passningar, xT 0.35PyeLewis Bate: 256 passningar, xT 0.07BateKyron Silveria Gordon: 255 passningar, xT 0.8GordonOliver Whatmuff: 209 passningar, xT 0.28WhatmuffBenjamin Jarrod Osborn: 174 passningar, xT 1.75OsbornRyan Glover: 108 passningar, xT 0.24GloverHarry Wood: 88 passningar, xT 0.05WoodMamadou Jobe: 85 passningar, xT 0.1JobeJack Diamond: 59 passningar, xT 0.14Diamond
    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.

    Oxford United
    Ciaron Brown: 263 passningar, xT 0.3BrownCameron Brannagan: 233 passningar, xT 0.17BrannaganMichal Helik: 174 passningar, xT 0.05HelikSimon Christopher Eastwood: 147 passningar, xT 0.1EastwoodJack Alexander Currie: 137 passningar, xT 0.48CurriePeter Kioso: 122 passningar, xT 0.11KiosoBrodie Gilmore Spencer: 99 passningar, xT 0.1SpencerKai Andrews: 90 passningar, xT 0.06AndrewsJamie Carson McDonnell: 83 passningar, xT -0.01McDonnellSam Long: 81 passningar, xT 0.07LongSiriki Dembele: 79 passningar, xT 0.44Dembele
    Stockport County
    Eoghan O'Connell: 376 passningar, xT 0.4O'ConnellOliver Norwood: 336 passningar, xT 0.76NorwoodEthan Pye: 274 passningar, xT 0.35PyeLewis Bate: 256 passningar, xT 0.07BateKyron Silveria Gordon: 255 passningar, xT 0.8GordonOliver Whatmuff: 209 passningar, xT 0.28WhatmuffBenjamin Jarrod Osborn: 174 passningar, xT 1.75OsbornRyan Glover: 108 passningar, xT 0.24GloverHarry Wood: 88 passningar, xT 0.05WoodMamadou Jobe: 85 passningar, xT 0.1JobeJack Diamond: 59 passningar, xT 0.14Diamond

    The teams in numbers

    PerformanceOxford UnitedStockport County
    Points1110
    xPoints6.99.9
    xG per match1.21.8
    xGA per match1.71.2
    xG within 8s of winning the ball0.120.27
    xGA within 8s of losing the ball0.40.45
    Playing styleOxford UnitedStockport County
    Build-up efficiency0.280.33
    Field tilt0.550.73
    xT per match0.781.5
    xTA per match0.90.52
    Won balls, offensive half1734
    Pressing intensity0.240.21
    Pressing efficiency0.380.29
    Pressing efficiency, offensive half0.320.24
    Entries into the box per match1219
    Entries into the box against157
    Pass completion %0.730.81
    Pass completion % under pressure0.670.76
    Passes per match338509
    Passes against per match226328
    Switches of play per match22.829.7
    Long balls per match2838
    Set piecesOxford UnitedStockport County
    xG from free kicks0.020.13
    Corners per match4.37.1
    Corners against per match7.13.6
    xG per corner0.010.03
    xGA per corner against0.050.06
    First touch, offensive corners %0.310.49
    First touch, defensive corners %0.670.76
    OtherOxford UnitedStockport County
    Throw-in control0.770.79
    The goalkeepersSimon Christopher Eastwood (Oxford United)Oliver Whatmuff (Stockport County)
    Saves1315
    Save %72%60%
    xG prevented70%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Oxford United vs Stockport County according to our model?

    The model gives Stockport County a 52% win probability. Full 1X2 picture: Oxford United 23%, draw 25%, Stockport County 52%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.