EFL League OneKing Power Stadium, Leicester17°17 km/h

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    Leicester CityLeicester CityPossession control
    04
    Oxford UnitedOxford UnitedPossession control
    The model's lean: 1 · Leicester City (51%)Best value by the model: Under 2,5 @ 2.10 (+19 %)

    Leicester CityOxford United · EFL League One

    1 · Leicester City 51%X 23%26% Oxford United · 2

    Analysis: Leicester CityOxford United

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

    The TEXT contains unsupported/fabricated details not present in the FACTS: the league name ("League One") and the specific betting market/odds ("Oxford United to draw at Unibet's 4.00"). These should be removed or corrected.

    Corrected text:

    Leicester City have honed their possession control strategy this season to outmaneuver Oxford United. Their disciplined approach is underscored by a solid edge in expected goals per match (1.3) over Oxford United's 1.1. This advantage aligns well with the model's projection, suggesting the hosts are rightly favored with a 51% probability of victory. Leicester's recent form, underscored by a tidy defensive record of just 1.0 xGA per match, positions them well to contain Oxford's incursions.

    While Leicester exhibit a slight edge in points—5 compared to Oxford's 4—the underlying xPoints (4.2 vs 2.3) further highlight their superior expected performance. This differential suggests that Leicester's ability to convert control into tangible results has been more reliable than Oxford's. For the visitors, struggling with a concerning 2.3 xGA per match could prove costly against a well-organized opponent, particularly one that can exploit lingering defensive gaps.

    The most probable scoreline nudges towards a narrow 1-0 victory for Leicester City, reflecting their advantage while acknowledging Oxford's potential to disrupt, albeit limited. Both teams favor a possession-oriented style, indicating a tactical battle in midfield rather than a free-scoring affair. The over/under 2.5 goals sits at 43%, pointing to a low-scoring contest likely residing under the threshold.

    Despite the model's lean toward Leicester City, the draw carries a 23% probability, and given the tight nature of projected scorelines, this outcome shouldn't be entirely dismissed. A cautious approach suggests keeping an eye on this potential draw.

    Leicester CityLeicester City
    Form DLDW
    League ranking xG #14xGA #5xT #6xP/match #20Points #13
    Key players
    • Samuel Charles BraybrookeCMxG 0.12 · xT 0.05
    • Christian Hector McFarlaneLBxG 0.09 · xT 0.18
    • Memeh Caleb OkoliCBxG 0.01 · xT 0.06
    Oxford UnitedOxford United
    Form DWL
    League ranking xG #18xGA #24xT #18xP/match #24Points #15
    Key players
    • Tyler GoodrhamLWxG 0.11 · xT 0.10
    • Jack Alexander CurrieLBxG 0.00 · xT 0.08
    • Cameron BrannaganCMxG 0.32 · xT 0.02
    Final score
    04
    The model missed the outcome
    Predicted probabilities: Leicester City 51% · Draw 23% · Oxford United 26%

    Match prediction: Leicester CityOxford United

    Predicted score matrix

    Oxford United
    Leicester City
    0
    1
    2
    3
    4+
    0
    0–09.4%
    0–17.3%
    0–23.2%
    0–30.9%
    0–4+0.2%
    1
    1–013.7%
    1–112.2%
    1–25.0%
    1–31.4%
    1–4+0.4%
    2
    2–011.0%
    2–19.3%
    2–23.9%
    2–31.1%
    2–4+0.3%
    3
    3–05.7%
    3–14.8%
    3–22.0%
    3–30.6%
    3–4+0.1%
    4+
    4+–03.2%
    4+–12.7%
    4+–21.1%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-014%
    2. 2.1-112%
    3. 3.2-011%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,560,84
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @2.10EV+11%
    Over 2,543%
    @1.85

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Leicester City to win51%
    • Under 3.5 goals78%

    Combined probability

    40%

    Fair odds

    2.52

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

    02 · 3 legs

    Balanced

    • Leicester City to win51%
    • Under 2.5 goals57%
    • Issahaku Abdul Fatawu 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 score45%
    • Over 2.5 goals43%
    • Issahaku Abdul Fatawu to score22%
    • Yunus Emre Konak to be booked24%

    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 2.557% probability@2.10PinnacleEV+19%reference odds
    • Under 2.557% probability@2.06Betfair ExchangeEV+17%reference odds
    • Under 1.530% probability@3.75Bet365EV+14%reference odds
    Bookmaker1 · Leicester CityX2 · Oxford United
    Bet3651.803.50
    EV+ 3%
    4.00
    Betfair Exchange1.101.101.10
    Pinnacle1.764.08
    EV+ 11%
    4.33

    Odds updated 5 Sept, 10:32

    Odds movement

    1-1 %
    58 %53 %

    1.771.76

    X+3 %
    25 %20 %

    3.964.08

    2+7 %
    24 %19 %

    4.034.33

    Over 2,5-1 %
    57 %52 %

    1.781.76

    Pinnacle · 13 recorded price levels · 02/09/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Leicester City
    Oxford United
    When goals are scored and conceded 2026
    Leicester City (43)
    Oxford United (56)
    Pass networks

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

    Leicester City
    Harry Souttar: 368 passningar, xT 0.76SouttarLuke Jonathan Thomas: 321 passningar, xT 0.38ThomasJayden Joseph: 220 passningar, xT 0.09JosephSamuel Charles Braybrooke: 173 passningar, xT 0.17BraybrookeMemeh Caleb Okoli: 164 passningar, xT 0.12OkoliChristian Hector McFarlane: 158 passningar, xT 0.19McFarlaneLouis Page: 132 passningar, xT 0.26PageAlex Simon McCarthy: 108 passningar, xT 0.06McCarthyOliver William Skipp: 83 passningar, xT 0SkippBobby Armani De Cordova-Reid: 78 passningar, xT 0.09Cordova-ReidWilliam Thomas Alves: 71 passningar, xT 1.06Alves
    Oxford United
    Cameron Brannagan: 149 passningar, xT 0.05BrannaganCiaron Brown: 124 passningar, xT 0.12BrownJack Alexander Currie: 120 passningar, xT 0.22CurrieSam Long: 116 passningar, xT 0.11LongJamie Carson McDonnell: 74 passningar, xT -0.08McDonnellBrodie Gilmore Spencer: 63 passningar, xT 0.08SpencerTyler Goodrham: 48 passningar, xT 0.07GoodrhamSimon Christopher Eastwood: 48 passningar, xT 0.05EastwoodPeter Kioso: 44 passningar, xT 0.05KiosoSiriki Dembele: 42 passningar, xT 0.12DembeleMark Harris: 39 passningar, xT -0.07Harris
    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.

    Leicester City
    Harry Souttar: 368 passningar, xT 0.76SouttarLuke Jonathan Thomas: 321 passningar, xT 0.38ThomasJayden Joseph: 220 passningar, xT 0.09JosephSamuel Charles Braybrooke: 173 passningar, xT 0.17BraybrookeMemeh Caleb Okoli: 164 passningar, xT 0.12OkoliChristian Hector McFarlane: 158 passningar, xT 0.19McFarlaneLouis Page: 132 passningar, xT 0.26PageAlex Simon McCarthy: 108 passningar, xT 0.06McCarthyOliver William Skipp: 83 passningar, xT 0SkippBobby Armani De Cordova-Reid: 78 passningar, xT 0.09Cordova-ReidWilliam Thomas Alves: 71 passningar, xT 1.06Alves
    Oxford United
    Cameron Brannagan: 149 passningar, xT 0.05BrannaganCiaron Brown: 124 passningar, xT 0.12BrownJack Alexander Currie: 120 passningar, xT 0.22CurrieSam Long: 116 passningar, xT 0.11LongJamie Carson McDonnell: 74 passningar, xT -0.08McDonnellBrodie Gilmore Spencer: 63 passningar, xT 0.08SpencerTyler Goodrham: 48 passningar, xT 0.07GoodrhamSimon Christopher Eastwood: 48 passningar, xT 0.05EastwoodPeter Kioso: 44 passningar, xT 0.05KiosoSiriki Dembele: 42 passningar, xT 0.12DembeleMark Harris: 39 passningar, xT -0.07Harris

    The teams in numbers

    PerformanceLeicester CityOxford United
    Points54
    xPoints4.22.3
    xG per match1.31.1
    xGA per match12.3
    xG within 8s of winning the ball0.250.12
    xGA within 8s of losing the ball0.20.62
    Playing styleLeicester CityOxford United
    Build-up efficiency0.290.28
    Field tilt0.730.57
    xT per match1.20.74
    xTA per match0.631.1
    Won balls, offensive half2114
    Pressing intensity0.230.23
    Pressing efficiency0.370.39
    Pressing efficiency, offensive half0.30.28
    Entries into the box per match1411
    Entries into the box against916
    Pass completion %0.820.71
    Pass completion % under pressure0.780.68
    Passes per match563332
    Passes against per match184194
    Switches of play per match17.519.4
    Long balls per match2227
    Set piecesLeicester CityOxford United
    xG from free kicks0.030.04
    Corners per match64.6
    Corners against per match4.86.6
    xG per corner0.010
    xGA per corner against0.030.06
    First touch, offensive corners %0.380.36
    First touch, defensive corners %0.630.65
    OtherLeicester CityOxford United
    Throw-in control0.760.7
    The goalkeepersAlex Simon McCarthy (Leicester City)Simon Christopher Eastwood (Oxford United)
    Saves97
    Save %75%64%
    xG prevented48%65%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Leicester City vs Oxford United according to our model?

    The model gives Leicester City a 51% win probability. Full 1X2 picture: Leicester City 51%, draw 23%, Oxford United 26%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.