EFL League OneMeadow Lane, Nottingham10°0,6 mm21 km/h

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    Notts CountyNotts CountyPossession control
    vs
    Oxford UnitedOxford UnitedPossession control
    The model's lean: 1 · Notts County (44%)

    Notts County vs Oxford United · EFL League One

    1 · Notts County 44%X 29%28% Oxford United · 2

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    Analysis: Notts County – Oxford United

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The small-sample head-to-head claim is not supported by the provided facts and should be removed.

    In the small sample of matches since 2023, it's the current form and expected goals that offer a clearer picture. The model tilts towards the hosts, giving them a 44% chance to take the victory, with a most likely scoreline of 1-1. The Magpies' possession control style mirrors that of Oxford, setting the stage for a methodical contest where flair might be at a premium.

    Despite sitting behind Oxford in the points tally (7 to 11), Notts County boasts a superior xPoints of 10.1 compared to Oxford’s 6.9, underscoring a more efficient conversion of chances. Their xGA of 1.3 also suggests a more robust defense, contrasting with the visitors’ more porous average of 1.7. Yet, the xG per match slightly favors Oxford, hinting at their potential to challenge the home side’s rearguard.

    The game is likely to see a tight battle in midfield, with both teams inclined towards maintaining possession. Given the model's probabilities and the expected goals figures, a low-scoring affair seems the more probable outcome. The over 2.5 goals probability sits at just 44%, while both teams to score is a coin flip at 50%. Hence, a 1-0 win for the hosts or a 1-1 draw emerges as the likeliest scenarios.

    From a betting perspective, there's notable value in backing Notts County to win at odds of 2.7 on LeoVegas, offering an 18% edge based on the model’s 44% win probability. For those preferring a focus on the goals market, the under 2.5 at odds of 1.833 with the same bookmaker provides a modest 2% edge, aligning with the match's anticipated subdued scoring pattern.

    Notts CountyNotts County
    Form WDDLL
    League ranking xG #18xGA #10xT #21xP/match #9Points #20
    Key players
    • Oliver Joseph CooperFxG 0.20 · xT 0.08
    • Callum RobertsFxG 0.14 · xT 0.11
    • Nick TsaroullaRWxG 0.06 · xT 0.15
    Oxford UnitedOxford United
    Form WLWWD
    League ranking xG #17xGA #20xT #20xP/match #20Points #10
    Key players
    • Tyler GoodrhamLWxG 0.19 · xT 0.27
    • Cameron BrannaganCMxG 0.19 · xT 0.04
    • Siriki DembeleLWxG 0.18 · xT 0.11

    Match prediction: Notts County – Oxford United

    Predicted score matrix

    Oxford United →
    Notts County →
    0
    1
    2
    3
    4+
    0
    0–09.0%
    0–19.2%
    0–25.3%
    0–32.0%
    0–4+0.7%
    1
    1–011.2%
    1–113.2%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.8%
    2–18.6%
    2–24.8%
    2–31.8%
    2–4+0.6%
    3
    3–03.5%
    3–13.8%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.6%
    4+–11.7%
    4+–21.0%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-19%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,34–1,11
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.85EV+3%
    Over 2,544%
    @1.80

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Notts County or draw (1X)70%
    • Under 3.5 goals77%

    Combined probability

    53%

    Fair odds

    1.87

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

    02 · 3 legs

    Balanced

    • Double chance Notts County or draw (1X)70%
    • Under 2.5 goals56%
    • Dean Graeme Campbell to score22%

    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 score50%
    • Over 2.5 goals44%
    • Dean Graeme Campbell to score22%
    • Oliver Joseph Cooper 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+).

    • 1 · Notts County44% probability@2.40LeoVegasEV+5%reference odds
    • Under 2.556% probability@1.85LeoVegasEV+3%reference odds
    Bookmaker1 · Notts CountyX2 · Oxford United
    LeoVegas
    EV+ 5%
    2.40
    3.352.60

    Odds updated 2 Oct, 11:36

    Odds movement

    1-11 %
    38 %33 %

    2.70 → 2.40

    X0 %
    30 %25 %

    3.35 → 3.35

    2+11 %
    39 %34 %

    2.35 → 2.60

    Over 2,50 %
    53 %48 %

    1.80 → 1.80

    LeoVegas · 3 recorded price levels · 02/10/2026 → 02/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Notts County
    Oxford United
    When goals are scored and conceded — 2026
    Notts County (7–9)
    Oxford United (13–7)
    Pass networks

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

    Notts County
    Lucas Ness: 213 passningar, xT 0.27NessJacob Bedeau: 195 passningar, xT 0.36BedeauJames Andrew Gibbons: 189 passningar, xT 0.28GibbonsNick Tsaroulla: 140 passningar, xT 0.71TsaroullaRory Finneran: 136 passningar, xT 0.05FinneranJames Belshaw: 115 passningar, xT 0.18BelshawOliver Joseph Cooper: 86 passningar, xT 0.13CooperDarius Lipsiuc: 68 passningar, xT 0.03LipsiucJack Lucas James Evans: 60 passningar, xT 0.01EvansConor Grant: 56 passningar, xT -0.05GrantHindolo Thomas E. Mustapha: 47 passningar, xT 0.35Mustapha
    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
    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.

    Notts County
    Lucas Ness: 213 passningar, xT 0.27NessJacob Bedeau: 195 passningar, xT 0.36BedeauJames Andrew Gibbons: 189 passningar, xT 0.28GibbonsNick Tsaroulla: 140 passningar, xT 0.71TsaroullaRory Finneran: 136 passningar, xT 0.05FinneranJames Belshaw: 115 passningar, xT 0.18BelshawOliver Joseph Cooper: 86 passningar, xT 0.13CooperDarius Lipsiuc: 68 passningar, xT 0.03LipsiucJack Lucas James Evans: 60 passningar, xT 0.01EvansConor Grant: 56 passningar, xT -0.05GrantHindolo Thomas E. Mustapha: 47 passningar, xT 0.35Mustapha
    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

    The teams in numbers

    PerformanceNotts CountyOxford United
    Points711
    xPoints10.16.9
    xG per match1.11.2
    xGA per match1.31.7
    xG within 8s of winning the ball0.110.12
    xGA within 8s of losing the ball0.20.4
    Playing styleNotts CountyOxford United
    Build-up efficiency0.30.28
    Field tilt0.420.55
    xT per match0.640.78
    xTA per match0.960.9
    Won balls, offensive half2617
    Pressing intensity0.220.24
    Pressing efficiency0.350.38
    Pressing efficiency, offensive half0.30.32
    Entries into the box per match1112
    Entries into the box against1315
    Pass completion %0.690.73
    Pass completion % under pressure0.670.67
    Passes per match270338
    Passes against per match344226
    Switches of play per match13.222.8
    Long balls per match2328
    Set piecesNotts CountyOxford United
    xG from free kicks0.060.02
    Corners per match4.44.3
    Corners against per match57.1
    xG per corner0.040.01
    xGA per corner against0.030.05
    First touch, offensive corners %0.420.31
    First touch, defensive corners %0.770.67
    OtherNotts CountyOxford United
    Throw-in control0.720.77
    The goalkeepersJames Belshaw (Notts County)Simon Christopher Eastwood (Oxford United)
    Saves1513
    Save %65%72%
    xG prevented47%70%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Notts County a 44% win probability. Full 1X2 picture: Notts County 44%, draw 29%, Oxford United 28%.

    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 50% 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.