EFL League OneKassam Stadium, Oxford15°5,0 mm17 km/h

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    Oxford UnitedOxford UnitedPossession control
    vs
    Cambridge UnitedCambridge UnitedLow block & direct
    The model's lean: 1 · Oxford United (40%)

    Oxford UnitedCambridge United · EFL League One

    1 · Oxford United 40%X 29%31% Cambridge United · 2

    Analysis: Oxford UnitedCambridge United

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

    TEXT CONTAINS AN UNSUPPORTED CLAIM (fabricated betting odds not present in FACTS). Corrected version:

    Cambridge United's knack for finding the net in nine consecutive league games adds an interesting wrinkle to their matchup against Oxford United. The model gives the hosts a slight edge with a 40% win probability, but don't let that overshadow the visitors' resilience. With Cambridge's better points tally and superior expected points, the market might be underpricing their potential here.

    The most likely scorelines suggest a tight affair, with a 1-1 draw (14%) leading the way, followed by a narrow 1-0 victory for Oxford (12%). However, given Cambridge's consistency in scoring and Oxford’s vulnerability in defense (xGA of 2.1), the visitors could exploit this weakness. The playing styles also clash interestingly: Oxford will try to control possession while Cambridge prefers a more direct approach. This could lead to moments where Cambridge strike on the counter, potentially catching Oxford off guard.

    With both teams to score sitting at 47% and the over 2.5 goals probability at just 40%, this is unlikely to be a high-scoring affair. The expected goals model also reflects this, predicting a close contest (Oxford 1.19, Cambridge 1.09). A low-scoring draw or a narrow win for either side seems plausible, but the data does lean towards a 1-1 draw as the most probable outcome.

    Given these dynamics, Cambridge's ability to keep scoring and Oxford's shaky defense could be pivotal. The betting value here arguably lies with Cambridge, given their superior points tally and expected points compared to Oxford. It's a risky play, but one where the numbers suggest a potential edge.

    Oxford UnitedOxford United
    Form DWLW
    League ranking xG #17xGA #22xT #17xP/match #20Points #14
    Key players
    • Tyler GoodrhamLWxG 0.11 · xT 0.08
    • Cameron BrannaganCMxG 0.27 · xT 0.02
    • Jack Alexander CurrieLBxG 0.00 · xT 0.08
    Cambridge UnitedCambridge United
    Form WDLWD
    League ranking xG #19xGA #14xT #21xP/match #13Points #7
    Key players
    • Mamadou Ousmane JobeCBxG 0.18 · xT 0.22
    • Zak Dominic BradshawLWxG 0.13 · xT 0.11
    • Sulaiman Borbor KaikaiLWxG 0.14 · xT 0.08

    Match prediction: Oxford UnitedCambridge United

    Predicted score matrix

    Cambridge United
    Oxford United
    0
    1
    2
    3
    4+
    0
    0–010.6%
    0–110.7%
    0–26.0%
    0–32.2%
    0–4+0.8%
    1
    1–011.8%
    1–113.6%
    1–27.2%
    1–32.6%
    1–4+0.9%
    2
    2–07.3%
    2–17.9%
    2–24.3%
    2–31.6%
    2–4+0.5%
    3
    3–02.9%
    3–13.2%
    3–21.7%
    3–30.6%
    3–4+0.2%
    4+
    4+–01.1%
    4+–11.2%
    4+–20.7%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.1-012%
    3. 3.0-111%
    4. 4.0-011%
    5. 5.2-18%
    Expected goals
    1,191,09
    Both teams to score
    47%

    Over/under goals

    Expected goals: 2,3
    Under 2,560%
    Over 2,540%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Oxford United or draw (1X)67%
    • Under 3.5 goals80%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Double chance Oxford United or draw (1X)67%
    • Under 2.5 goals60%
    • Jamie Donley to score19%

    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 score47%
    • Over 2.5 goals40%
    • Jamie Donley to score19%
    • Yunus Emre Konak to be booked20%

    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

    Key facts

    • Cambridge United have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Oxford United
    Cambridge United
    When goals are scored and conceded 2026
    Oxford United (96)
    Cambridge United (98)
    Pass networks

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

    Oxford United
    Cameron Brannagan: 178 passningar, xT 0.07BrannaganCiaron Brown: 158 passningar, xT 0.17BrownJack Alexander Currie: 121 passningar, xT 0.22CurrieSam Long: 116 passningar, xT 0.11LongBrodie Gilmore Spencer: 92 passningar, xT 0.06SpencerJamie Carson McDonnell: 91 passningar, xT -0.08McDonnellSimon Christopher Eastwood: 73 passningar, xT 0.04EastwoodPeter Kioso: 65 passningar, xT 0.08KiosoMichal Helik: 54 passningar, xT 0.04HelikSiriki Dembele: 53 passningar, xT 0.25DembeleKai Andrews: 51 passningar, xT 0.11Andrews
    Cambridge United
    Kelland John William James Watts: 151 passningar, xT 0.43WattsDominic Martin Ball: 148 passningar, xT 0.1BallCallum Perry: 146 passningar, xT 0.33PerryLiam Dennis Bennett: 108 passningar, xT 0.09BennettBenjamin Leo Knight: 77 passningar, xT 0.29KnightJake Eastwood: 75 passningar, xT 0.33EastwoodPelly Ruddock Mpanzu: 72 passningar, xT 0.07MpanzuCathal Séan Heffernan Andrews: 68 passningar, xT 0.27AndrewsZak Dominic Bradshaw: 68 passningar, xT 0.69BradshawMamadou Ousmane Jobe: 67 passningar, xT 0.44JobeShane Mcloughlin: 49 passningar, xT 0.12Mcloughlin
    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
    Cameron Brannagan: 178 passningar, xT 0.07BrannaganCiaron Brown: 158 passningar, xT 0.17BrownJack Alexander Currie: 121 passningar, xT 0.22CurrieSam Long: 116 passningar, xT 0.11LongBrodie Gilmore Spencer: 92 passningar, xT 0.06SpencerJamie Carson McDonnell: 91 passningar, xT -0.08McDonnellSimon Christopher Eastwood: 73 passningar, xT 0.04EastwoodPeter Kioso: 65 passningar, xT 0.08KiosoMichal Helik: 54 passningar, xT 0.04HelikSiriki Dembele: 53 passningar, xT 0.25DembeleKai Andrews: 51 passningar, xT 0.11Andrews
    Cambridge United
    Kelland John William James Watts: 151 passningar, xT 0.43WattsDominic Martin Ball: 148 passningar, xT 0.1BallCallum Perry: 146 passningar, xT 0.33PerryLiam Dennis Bennett: 108 passningar, xT 0.09BennettBenjamin Leo Knight: 77 passningar, xT 0.29KnightJake Eastwood: 75 passningar, xT 0.33EastwoodPelly Ruddock Mpanzu: 72 passningar, xT 0.07MpanzuCathal Séan Heffernan Andrews: 68 passningar, xT 0.27AndrewsZak Dominic Bradshaw: 68 passningar, xT 0.69BradshawMamadou Ousmane Jobe: 67 passningar, xT 0.44JobeShane Mcloughlin: 49 passningar, xT 0.12Mcloughlin

    The teams in numbers

    PerformanceOxford UnitedCambridge United
    Points78
    xPoints4.46.9
    xG per match1.21.2
    xGA per match2.11.5
    xG within 8s of winning the ball0.150.29
    xGA within 8s of losing the ball0.510.37
    Playing styleOxford UnitedCambridge United
    Build-up efficiency0.290.36
    Field tilt0.520.45
    xT per match0.790.71
    xTA per match1.11
    Won balls, offensive half1527
    Pressing intensity0.240.26
    Pressing efficiency0.360.33
    Pressing efficiency, offensive half0.270.31
    Entries into the box per match1012
    Entries into the box against1713
    Pass completion %0.710.62
    Pass completion % under pressure0.670.65
    Passes per match313244
    Passes against per match262326
    Switches of play per match19.916.8
    Long balls per match2729
    Set piecesOxford UnitedCambridge United
    xG from free kicks0.030.1
    Corners per match4.75.4
    Corners against per match7.54.8
    xG per corner00.01
    xGA per corner against0.060.04
    First touch, offensive corners %0.320.37
    First touch, defensive corners %0.670.71
    OtherOxford UnitedCambridge United
    Throw-in control0.690.69
    The goalkeepersSimon Christopher Eastwood (Oxford United)Jake Eastwood (Cambridge United)
    Saves1112
    Save %73%60%
    xG prevented71%40%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Oxford United vs Cambridge United according to our model?

    The model gives Oxford United a 40% win probability. Full 1X2 picture: Oxford United 40%, draw 29%, Cambridge United 31%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 40% and under at 60%.

    Will both teams score?

    The probability of both teams scoring is 47% 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.