EFL League OneWeston Homes Stadium, Peterborough15°1,6 mm15 km/h

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    Peterborough UnitedPeterborough UnitedPossession control
    vs
    Notts CountyNotts CountyPossession control
    The model's lean: 1 · Peterborough United (41%)

    Peterborough United vs Notts County · EFL League One

    1 · Peterborough United 41%X 27%32% Notts County · 2

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    Analysis: Peterborough United – Notts County

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

    A clash of possession-focused philosophies awaits as Peterborough United hosts Notts County. While both teams treasure the ball, the model slightly favors the hosts with a 41% chance for victory. Yet, it's Notts County who holds the edge in the standings with 7 points to Peterborough's 5, and an even wider lead in expected points. There's tension in these contrasting indicators.

    Despite Peterborough’s slight edge in expected goals, creating 1.3 per game compared to Notts County’s 1.1, their defensive frailties are evident. The hosts concede an average of 1.6 xGA per match—worse than the visitors' 1.3. This vulnerability might just tip the scales towards a close encounter, where the visitors could capitalize on lapses in United’s defensive setup.

    The probabilities and likely scorelines signal a tightly contested match with a 1-1 draw emerging as the most probable result at 13%. The model’s numbers suggest a narrow margin, pointing to a set-piece or a moment of brilliance being decisive. With only a 44% chance of the game going over 2.5 goals, it projects a strategically cautious affair rather than an open, high-scoring one.

    If there's value here, it’s in looking at the betting market. With Notts County priced at 3.25 by William Hill, there’s potential value for punters siding with an away upset. The slim difference in xG and a more robust defense might enable the visitors to snatch a 0-1 victory, despite the model’s lean towards Peterborough. This matchup, underpinned by control and patience, might just pivot on a single moment of incisive play.

    Peterborough UnitedPeterborough United
    Form LDLDL
    League ranking xG #14xGA #19xT #3xP/match #21Points #23
    Key players
    • Owura Nsiah EdwardsFxG 0.14 · xT 0.29
    • Liam Anthony KellyCDMxG 0.03 · xT 0.12
    • Harley MillsLBxG 0.03 · xT 0.18
    Notts CountyNotts County
    Form WDDLL
    League ranking xG #18xGA #10xT #21xP/match #8Points #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

    Match prediction: Peterborough United – Notts County

    Predicted score matrix

    Notts County →
    Peterborough United →
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–19.6%
    0–25.7%
    0–32.1%
    0–4+0.8%
    1
    1–011.0%
    1–113.3%
    1–27.3%
    1–32.8%
    1–4+1.0%
    2
    2–07.4%
    2–18.4%
    2–24.7%
    2–31.8%
    2–4+0.6%
    3
    3–03.2%
    3–13.6%
    3–22.0%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.4%
    4+–11.6%
    4+–20.9%
    4+–30.3%
    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. 3.0-110%
    4. 4.0-09%
    5. 5.2-18%
    Expected goals
    1,29–1,13
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    –
    Over 2,544%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Peterborough United or draw (1X)68%
    • Under 3.5 goals77%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Peterborough United or draw (1X)68%
    • Under 2.5 goals56%
    • Harry Paul Leonard to score18%

    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 score20%
    • Liam Anthony Kelly to be booked22%

    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

    xG & xGA per match — 3-game rolling average

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

    Peterborough United
    Notts County
    When goals are scored and conceded — 2026
    Peterborough United (4–12)
    Notts County (7–9)
    Pass networks

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

    Peterborough United
    David Chukwudubem Okagbue: 296 passningar, xT 0.44OkagbueLiam Anthony Kelly: 241 passningar, xT 0.54KellyJosh Feeney: 227 passningar, xT 0.25FeeneyHarley Mills: 223 passningar, xT 0.85MillsAlexander Michael Bass: 195 passningar, xT 0.26BassHarrison Jones: 127 passningar, xT -0.03JonesJames Daniel Dornelly: 126 passningar, xT 0.97DornellyCarl Robert Johnston: 118 passningar, xT 0.61JohnstonBenjamin Jack Woods: 104 passningar, xT 0.5WoodsBrandon Singh Khela: 73 passningar, xT 0.01KhelaThomas James O'Connor: 68 passningar, xT 0.06O'Connor
    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
    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.

    Peterborough United
    David Chukwudubem Okagbue: 296 passningar, xT 0.44OkagbueLiam Anthony Kelly: 241 passningar, xT 0.54KellyJosh Feeney: 227 passningar, xT 0.25FeeneyHarley Mills: 223 passningar, xT 0.85MillsAlexander Michael Bass: 195 passningar, xT 0.26BassHarrison Jones: 127 passningar, xT -0.03JonesJames Daniel Dornelly: 126 passningar, xT 0.97DornellyCarl Robert Johnston: 118 passningar, xT 0.61JohnstonBenjamin Jack Woods: 104 passningar, xT 0.5WoodsBrandon Singh Khela: 73 passningar, xT 0.01KhelaThomas James O'Connor: 68 passningar, xT 0.06O'Connor
    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

    The teams in numbers

    PerformancePeterborough UnitedNotts County
    Points57
    xPoints7.910.1
    xG per match1.31.1
    xGA per match1.61.3
    xG within 8s of winning the ball0.240.11
    xGA within 8s of losing the ball0.330.2
    Playing stylePeterborough UnitedNotts County
    Build-up efficiency0.290.3
    Field tilt0.590.42
    xT per match1.20.64
    xTA per match0.980.96
    Won balls, offensive half2326
    Pressing intensity0.240.22
    Pressing efficiency0.390.35
    Pressing efficiency, offensive half0.360.3
    Entries into the box per match1311
    Entries into the box against1113
    Pass completion %0.760.69
    Pass completion % under pressure0.710.67
    Passes per match413270
    Passes against per match252344
    Switches of play per match19.513.2
    Long balls per match3023
    Set piecesPeterborough UnitedNotts County
    xG from free kicks0.010.06
    Corners per match5.54.4
    Corners against per match4.95
    xG per corner0.030.04
    xGA per corner against0.050.03
    First touch, offensive corners %0.620.42
    First touch, defensive corners %0.50.77
    OtherPeterborough UnitedNotts County
    Throw-in control0.740.72
    The goalkeepersAlexander Michael Bass (Peterborough United)James Belshaw (Notts County)
    Saves2215
    Save %67%65%
    xG prevented30%47%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Peterborough United a 41% win probability. Full 1X2 picture: Peterborough United 41%, draw 27%, Notts County 32%.

    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.