EFL League OneSelect Car Leasing Stadium, Reading15°6,0 mm19 km/h

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    ReadingReadingPossession control
    vs
    Notts CountyNotts CountyPossession control
    The model's lean: 1 · Reading (51%)

    ReadingNotts County · EFL League One

    1 · Reading 51%X 27%22% Notts County · 2

    Analysis: ReadingNotts County

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT:

    Notts County have faced Reading recently, but with home advantage and superior underlying numbers, Reading's form and expected goals data give a clearer picture than any head-to-head record. Both teams lean heavily on possession control, yet the hosts have displayed a sharper edge in turning possession into meaningful chances. This is reflected in their xG per match of 2.1, comfortably surpassing the visitors' 1.3. The model also tilts towards Reading, granting them a 51% chance of victory.

    Despite their unbeaten streak in the last five league matches, Notts County's defensive frailties are clear. Conceding an xGA of 1.2 per match suggests vulnerability, especially when confronted with Reading's potent attacking output. Meanwhile, the hosts have a solid defensive structure, allowing just 0.86 xGA per match, which should keep the visitors' chances limited.

    In terms of scoreline probabilities, the model nudges towards a 1-0 or 1-1 finish, both sharing a 12% likelihood. This indicates a match potentially tight in score, but not necessarily in chances. Reading's superior xG in moments of transition, at 0.42 within eight seconds of ball recovery, underscores their ability to capitalize on quick turnovers, a facet in which Notts County lag significantly with just 0.1.

    The numbers offer an enticing betting angle. With Reading's defensive solidity and attacking prowess, a 1-0 home win aligns with both the expected goals and model probabilities. At this junction, Ladbrokes presents a tempting opportunity with odds of 1.90 on a Reading win. While over 2.5 goals sits right on the knife's edge at 49%, the safer lean might be towards under, given the hosts' defensive assurance and the visitors' struggle to convert possession into goals.

    ReadingReading
    Form LLDWW
    League ranking xG #3xGA #1xT #6xP/match #1Points #16
    Key players
    • Jack MarriottFxG 0.60 · xT 0.10
    • Daniel Kankam KyerewaaLWxG 0.23 · xT 0.01
    • Patrick John LaneLWxG 0.04 · xT 0.13
    Notts CountyNotts County
    Form DDWDD
    League ranking xG #14xGA #7xT #19xP/match #4Points #12
    Key players
    • Oliver Joseph CooperFxG 0.23 · xT 0.10
    • Callum RobertsFxG 0.15 · xT 0.13
    • Luka Benjamin SmythFxG 0.52 · xT 0.04

    Match prediction: ReadingNotts County

    Predicted score matrix

    Notts County
    Reading
    0
    1
    2
    3
    4+
    0
    0–07.5%
    0–16.4%
    0–23.2%
    0–31.0%
    0–4+0.3%
    1
    1–011.8%
    1–111.8%
    1–25.4%
    1–31.7%
    1–4+0.5%
    2
    2–010.3%
    2–19.7%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–05.8%
    3–15.5%
    3–22.6%
    3–30.8%
    3–4+0.2%
    4+
    4+–03.6%
    4+–13.4%
    4+–21.6%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-012%
    2. 2.1-112%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,700,94
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    Over 2,549%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Reading to win51%
    • Under 3.5 goals73%

    Combined probability

    38%

    Fair odds

    2.66

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

    02 · 3 legs

    Balanced

    • Reading to win51%
    • Under 2.5 goals51%
    • Kamari Olivier Newby Doyle to score21%

    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 goals49%
    • Kamari Olivier Newby Doyle to score21%
    • Scott Alexander Cameron Robertson to be booked23%

    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

    • Notts County are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Reading
    Notts County
    When goals are scored and conceded 2026
    Reading (115)
    Notts County (76)
    Pass networks

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

    Reading
    Benn David Ward: 187 passningar, xT 0.08WardUdoka Favour Godwin-Malife: 152 passningar, xT 0.39Godwin-MalifePaudie Oconnor: 136 passningar, xT 0OconnorLewis Wing: 134 passningar, xT 0.6WingJoel Pereira: 116 passningar, xT 0.29PereiraAndrew Farai Rinomhota: 77 passningar, xT 0.17RinomhotaJeriel Dorsett: 59 passningar, xT 0.14DorsettHaydon Cameron Roberts: 58 passningar, xT 0.45RobertsGeorge Robert Earthy: 41 passningar, xT 0.14EarthyPatrick John Lane: 40 passningar, xT 0.27LaneCharlie Savage: 36 passningar, xT 0.03Savage
    Notts County
    Lucas Ness: 191 passningar, xT 0.28NessJacob Bedeau: 187 passningar, xT 0.56BedeauJames Andrew Gibbons: 160 passningar, xT 0.26GibbonsJames Belshaw: 106 passningar, xT 0.22BelshawNick Tsaroulla: 104 passningar, xT 0.82TsaroullaOliver Joseph Cooper: 81 passningar, xT 0.49CooperRory Finneran: 73 passningar, xT 0.05FinneranDarius Lipsiuc: 62 passningar, xT 0.07LipsiucJack Lucas James Evans: 52 passningar, xT -0.03EvansCallum Roberts: 50 passningar, xT 0.19RobertsConor Grant: 50 passningar, xT -0.03Grant
    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.

    Reading
    Benn David Ward: 187 passningar, xT 0.08WardUdoka Favour Godwin-Malife: 152 passningar, xT 0.39Godwin-MalifePaudie Oconnor: 136 passningar, xT 0OconnorLewis Wing: 134 passningar, xT 0.6WingJoel Pereira: 116 passningar, xT 0.29PereiraAndrew Farai Rinomhota: 77 passningar, xT 0.17RinomhotaJeriel Dorsett: 59 passningar, xT 0.14DorsettHaydon Cameron Roberts: 58 passningar, xT 0.45RobertsGeorge Robert Earthy: 41 passningar, xT 0.14EarthyPatrick John Lane: 40 passningar, xT 0.27LaneCharlie Savage: 36 passningar, xT 0.03Savage
    Notts County
    Lucas Ness: 191 passningar, xT 0.28NessJacob Bedeau: 187 passningar, xT 0.56BedeauJames Andrew Gibbons: 160 passningar, xT 0.26GibbonsJames Belshaw: 106 passningar, xT 0.22BelshawNick Tsaroulla: 104 passningar, xT 0.82TsaroullaOliver Joseph Cooper: 81 passningar, xT 0.49CooperRory Finneran: 73 passningar, xT 0.05FinneranDarius Lipsiuc: 62 passningar, xT 0.07LipsiucJack Lucas James Evans: 52 passningar, xT -0.03EvansCallum Roberts: 50 passningar, xT 0.19RobertsConor Grant: 50 passningar, xT -0.03Grant

    The teams in numbers

    PerformanceReadingNotts County
    Points77
    xPoints8.58.1
    xG per match2.11.3
    xGA per match0.861.2
    xG within 8s of winning the ball0.420.1
    xGA within 8s of losing the ball0.070.24
    Playing styleReadingNotts County
    Build-up efficiency0.310.3
    Field tilt0.440.43
    xT per match1.20.75
    xTA per match0.880.91
    Won balls, offensive half2426
    Pressing intensity0.240.22
    Pressing efficiency0.290.33
    Pressing efficiency, offensive half0.250.29
    Entries into the box per match1312
    Entries into the box against1113
    Pass completion %0.70.69
    Pass completion % under pressure0.620.68
    Passes per match291254
    Passes against per match340364
    Switches of play per match15.211.8
    Long balls per match2622
    Set piecesReadingNotts County
    xG from free kicks0.040.07
    Corners per match5.74.9
    Corners against per match3.55.3
    xG per corner0.060.05
    xGA per corner against0.030
    First touch, offensive corners %0.350.44
    First touch, defensive corners %0.790.81
    OtherReadingNotts County
    Throw-in control0.720.72
    The goalkeepersJoel Pereira (Reading)Lucas Ness (Notts County)
    Saves711
    Save %58%100%
    xG prevented56%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Reading vs Notts County according to our model?

    The model gives Reading a 51% win probability. Full 1X2 picture: Reading 51%, draw 27%, Notts County 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    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.