EFL League OneOne Call Stadium, Mansfield15°3,8 mm28 km/h

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    Mansfield TownMansfield TownPossession & high press
    1–1
    Oxford UnitedOxford UnitedPossession control
    The model's lean: 1 · Mansfield Town (46%)Best value by the model: Under 2,5 @ 2.08 (+7 %)

    Mansfield Town vs Oxford United · EFL League One

    1 · Mansfield Town 46%X 26%28% Oxford United · 2

    Prediction summary

    Final score 1–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Mansfield Town vs Oxford United (EFL League One, Thursday, 15 October 2026): Mansfield Town win 46%, draw 26%, Oxford United win 28%. Expected goals (xG): Mansfield Town 1.40, Oxford United 1.21. Most likely score: 1-1 (13%). Over 2.5 goals 48%, both teams to score 53%. Double chance: Mansfield Town or draw 72%, Oxford United or draw 54%. Prediction updated Thursday, 8 October 2026.

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    Analysis: Mansfield Town – Oxford United

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

    TEXT: Mansfield Town's 46% win probability contrasts sharply with their 8 points on the board compared to Oxford United's 14. The hosts' advantage in expected points (8.6 vs. 8.4) and xG per match (1.3 vs. 1.1) indicates they have been unlucky rather than poor. Meanwhile, Oxford's results have outpaced their underlying performance, suggesting some overachievement.

    The expected goals tally forecasts a narrow margin: Mansfield 1.40 to Oxford 1.21. Both teams favor possession, but Mansfield's high press could disrupt Oxford's control, potentially tilting the balance. The model sees 1-1 as the most likely outcome at 13%, with 1-0 and 2-1 to Mansfield closely behind. These numbers hint at a tight contest with goals at a premium, and the under 2.5 goals probability at 52% further supports a low-scoring affair.

    Value seekers should note the edge in betting markets: under 2.5 goals offers a 4% edge at 2.02 odds with LeoVegas, while backing the hosts at 2.25 provides a 3% edge. For those more cautious, under 3.5 goals at 1.4 odds also holds a 3% edge. If Mansfield can leverage their pressing style, a 1-0 victory seems within reach.

    Mansfield TownMansfield Town
    Form LLDDW
    League ranking xG #15xGA #16xT #6xP/match #17Points #18
    Key players
    • Rhys OatesFxG 0.16 · xT 0.12
    • Michael John SmithFxG 0.34 · xT 0.04
    • Samuel ReedCDMxG 0.11 · xT 0.16
    Oxford UnitedOxford United
    Form LWWDW
    League ranking xG #17xGA #18xT #20xP/match #18Points #7
    Key players
    • Cameron BrannaganCMxG 0.17 · xT 0.04
    • Michal HelikCBxG 0.00 · xT 0.02
    • Ciaron BrownCBxG 0.03 · xT 0.05
    Final score
    1 – 1
    The model missed the outcome
    Predicted probabilities: Mansfield Town 46% · Draw 26% · Oxford United 28%

    Match prediction: Mansfield Town – Oxford United

    Predicted score matrix

    Oxford United →
    Mansfield Town →
    0
    1
    2
    3
    4+
    0
    0–07.7%
    0–18.5%
    0–25.4%
    0–32.2%
    0–4+0.9%
    1
    1–09.9%
    1–112.8%
    1–27.6%
    1–33.1%
    1–4+1.2%
    2
    2–07.2%
    2–18.7%
    2–25.3%
    2–32.1%
    2–4+0.8%
    3
    3–03.3%
    3–14.1%
    3–22.5%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.6%
    4+–11.9%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-19%
    5. 5.0-08%
    Expected goals
    1,40–1,21
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.08EV+6%
    Over 2,548%
    @1.78

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Mansfield Town to win46%
    • Under 3.5 goals73%

    Combined probability

    29%

    Fair odds

    3.43

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

    02 · 3 legs

    Balanced

    • Mansfield Town to win46%
    • Under 2.5 goals52%
    • Michael John Smith 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 score53%
    • Over 2.5 goals48%
    • Michael John Smith to score23%
    • Cameron Mark Thomas Brannagan 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 2.552% probability@2.08PinnacleEV+7%reference odds
    • 1 · Mansfield Town46% probability@2.30LeoVegasEV+6%reference odds
    • Under 2.552% probability@2.05LeoVegasEV+6%reference odds
    Bookmaker1 · Mansfield TownX2 · Oxford United
    LeoVegas
    EV+ 6%
    2.30
    3.502.85
    Pinnacle
    EV+ 5%
    2.29
    3.623.02

    Odds updated 15 Oct, 13:36

    Odds movement

    1+3 %
    45 %40 %

    2.22 → 2.29

    X-2 %
    29 %24 %

    3.68 → 3.62

    2+2 %
    34 %29 %

    2.96 → 3.02

    Over 2,5+1 %
    56 %51 %

    1.76 → 1.78

    Pinnacle · 6 recorded price levels · 13/10/2026 → 15/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Mansfield Town
    Oxford United
    When goals are scored and conceded — 2026
    Mansfield Town (12–14)
    Oxford United (15–8)
    Pass networks

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

    Mansfield Town
    Ryan Joseph Sweeney: 155 passningar, xT 0.33SweeneyAdedeji Oshilaja: 151 passningar, xT 0.02OshilajaElliott Jack Hewitt: 139 passningar, xT 0.36HewittSamuel Reed: 135 passningar, xT 0.87ReedLiam Francis Thompson: 86 passningar, xT 0ThompsonRegan Hendry: 85 passningar, xT 0.38HendryNathan Daniel Moriah-Welsh: 77 passningar, xT 0.67Moriah-WelshStephen Mclaughlin: 68 passningar, xT 0.54MclaughlinLiam Roberts: 58 passningar, xT 0.07RobertsDavid James McGoldrick: 57 passningar, xT 0.09McGoldrickGeorge Maris: 54 passningar, xT 0.05Maris
    Oxford United
    Ciaron Brown: 267 passningar, xT 0.28BrownCameron Brannagan: 259 passningar, xT 0.2BrannaganMichal Helik: 180 passningar, xT 0.1HelikJack Alexander Currie: 141 passningar, xT 0.45CurriePeter Kioso: 139 passningar, xT 0.15KiosoSimon Christopher Eastwood: 126 passningar, xT 0.06EastwoodKai Andrews: 103 passningar, xT 0.05AndrewsBrodie Gilmore Spencer: 99 passningar, xT 0.09SpencerSam Long: 81 passningar, xT 0.07LongSiriki Dembele: 80 passningar, xT 0.44DembeleMo Missanga: 60 passningar, xT 0.43Missanga
    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.

    Mansfield Town
    Ryan Joseph Sweeney: 155 passningar, xT 0.33SweeneyAdedeji Oshilaja: 151 passningar, xT 0.02OshilajaElliott Jack Hewitt: 139 passningar, xT 0.36HewittSamuel Reed: 135 passningar, xT 0.87ReedLiam Francis Thompson: 86 passningar, xT 0ThompsonRegan Hendry: 85 passningar, xT 0.38HendryNathan Daniel Moriah-Welsh: 77 passningar, xT 0.67Moriah-WelshStephen Mclaughlin: 68 passningar, xT 0.54MclaughlinLiam Roberts: 58 passningar, xT 0.07RobertsDavid James McGoldrick: 57 passningar, xT 0.09McGoldrickGeorge Maris: 54 passningar, xT 0.05Maris
    Oxford United
    Ciaron Brown: 267 passningar, xT 0.28BrownCameron Brannagan: 259 passningar, xT 0.2BrannaganMichal Helik: 180 passningar, xT 0.1HelikJack Alexander Currie: 141 passningar, xT 0.45CurriePeter Kioso: 139 passningar, xT 0.15KiosoSimon Christopher Eastwood: 126 passningar, xT 0.06EastwoodKai Andrews: 103 passningar, xT 0.05AndrewsBrodie Gilmore Spencer: 99 passningar, xT 0.09SpencerSam Long: 81 passningar, xT 0.07LongSiriki Dembele: 80 passningar, xT 0.44DembeleMo Missanga: 60 passningar, xT 0.43Missanga

    The teams in numbers

    PerformanceMansfield TownOxford United
    Points814
    xPoints8.68.4
    xG per match1.31.1
    xGA per match1.51.5
    xG within 8s of winning the ball0.350.14
    xGA within 8s of losing the ball0.230.36
    Playing styleMansfield TownOxford United
    Build-up efficiency0.310.29
    Field tilt0.50.54
    xT per match1.10.75
    xTA per match10.91
    Won balls, offensive half3018
    Pressing intensity0.220.24
    Pressing efficiency0.320.37
    Pressing efficiency, offensive half0.310.32
    Entries into the box per match1411
    Entries into the box against1214
    Pass completion %0.680.73
    Pass completion % under pressure0.650.68
    Passes per match282335
    Passes against per match341237
    Switches of play per match24.822.2
    Long balls per match3627
    Set piecesMansfield TownOxford United
    xG from free kicks0.030.02
    Corners per match3.74.2
    Corners against per match4.76.8
    xG per corner0.010.01
    xGA per corner against0.050.04
    First touch, offensive corners %0.460.3
    First touch, defensive corners %0.670.65
    OtherMansfield TownOxford United
    Throw-in control0.660.73
    The goalkeepersLiam Roberts (Mansfield Town)Simon Christopher Eastwood (Oxford United)
    Saves1413
    Save %67%72%
    xG prevented34%70%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Mansfield Town spelschemaOxford United spelschema

    Frequently asked questions

    Who wins Mansfield Town vs Oxford United according to our model?

    The model gives Mansfield Town a 46% win probability. Full 1X2 picture: Mansfield Town 46%, draw 26%, 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 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 Mansfield Town vs Oxford United?

    The model expects 1.40 goals (xG) for Mansfield Town and 1.21 for Oxford United, 2.61 in total.

    What does the model say about double chance?

    Mansfield Town or draw (1X) 72%, Oxford United or draw (X2) 54% and no draw (12) 74%.

    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.