EFL League TwoBoundary Park, Oldham13°17 km/h

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    Oldham AthleticOldham AthleticLow block & direct
    vs
    Salford CitySalford CityPossession control
    The model's lean: 1 · Oldham Athletic (40%)

    Oldham Athletic vs Salford City · EFL League Two

    1 · Oldham Athletic 40%X 28%32% Salford City · 2

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    Analysis: Oldham Athletic – Salford City

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

    The FACTS do not include any betting odds (e.g., "2.50 with Bet365"), so this specific figure is an unsupported addition to the text.

    CORRECTED TEXT:

    Oldham Athletic might be nursing a three-game losing streak, but that's likely misleading the market. Their underlying numbers tell a different story. Despite those recent losses, Oldham's expected goals (xG) per match stands at 1.4, notably higher than Salford City's 1.1. The hosts also have a superior xG within eight seconds of winning the ball, underscoring their capacity for rapid, incisive play. This could prove pivotal against a Salford side that thrives on possession but often struggles to turn it into tangible threats.

    Salford's possession-based style might control the tempo, yet it rarely translates into overwhelming attacking pressure. Their expected goals against (xGA) per match sits at 1.4, indicating vulnerability at the back, which Oldham is well-equipped to exploit. The hosts' xGA of 1.2 suggests a slight edge defensively, too. With both teams to score clocking in at 57%, the numbers hint at each side finding the net, but the tilt is towards Oldham capitalizing on their high-octane approach.

    The head-to-head record, with Oldham losing both encounters since 2023, offers a limited and potentially deceptive sample. It pales in comparison to the current analytical metrics. The model assigns Oldham a 40% chance of victory, a lean that aligns with their superior xPoints tally of 10.5 against Salford's 5.8. The most probable outcomes, featuring a 1-1 draw at 12% and a 2-1 win for the hosts at 9%, indicate a slight nod towards Oldham, albeit in a tight contest.

    Bookmakers may overlook the subtle strengths of Oldham's direct style. Their edge in expected goals and rapid transition play, combined with their higher likelihood of converting chances, suggests value in backing the hosts. Keep an eye on this as the sharp angle, as Oldham is positioned to break their losing run.

    Oldham AthleticOldham Athletic
    Form WDLLL
    League ranking xG #10xGA #8xT #15xP/match #9Points #14
    Key players
    • Karl Mike Fondop-TalumFxG 0.27 · xT 0.13
    • Elliott Lloyd NevittFxG 0.10 · xT 0.01
    • Calum KavanaghCAMxG 0.77 · xT 0.05
    Salford CitySalford City
    Form LWWDW
    League ranking xG #18xGA #15xT #17xP/match #23Points #15
    Key players
    • Adebola OluwoCBxG 0.09 · xT 0.08
    • Joe James PowellCAMxG 0.07 · xT 0.13
    • Ryan GraydonLWxG 0.19 · xT -0.03

    Match prediction: Oldham Athletic – Salford City

    Predicted score matrix

    Salford City →
    Oldham Athletic →
    0
    1
    2
    3
    4+
    0
    0–06.3%
    0–17.1%
    0–24.6%
    0–31.9%
    0–4+0.8%
    1
    1–09.1%
    1–112.0%
    1–27.3%
    1–33.0%
    1–4+1.2%
    2
    2–07.4%
    2–19.2%
    2–25.7%
    2–32.4%
    2–4+1.0%
    3
    3–03.9%
    3–14.8%
    3–23.0%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.2%
    4+–12.7%
    4+–21.7%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.2-07%
    5. 5.1-27%
    Expected goals
    1,57–1,24
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.05
    Over 2,553%
    @1.76

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    01 · 2 legs

    Safe

    • Double chance Oldham Athletic or draw (1X)70%
    • Over 1.5 goals78%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • Double chance Oldham Athletic or draw (1X)70%
    • Over 2.5 goals53%
    • Calum Graham Kavanagh 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 score57%
    • Over 2.5 goals53%
    • Macaulay Langstaff to score23%
    • Elliot Michael Bonds 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

    Bookmaker1 · Oldham AthleticX2 · Salford City
    Betsafe2.453.402.65
    Betsson2.453.402.65
    Nordicbet2.453.402.65
    Pinnacle2.433.442.77

    Odds updated 25 Sept, 16:35

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 20 September — the odds have shortened from 2.24 to 2.05 (−8%).

    1+1 %
    41 %36 %

    2.40 → 2.43

    X-4 %
    29 %24 %

    3.59 → 3.44

    2+2 %
    37 %32 %

    2.71 → 2.77

    Over 2,5+8 %
    58 %53 %

    1.63 → 1.76

    Pinnacle · 7 recorded price levels · 20/09/2026 → 25/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Oldham Athletic 0Draw 0Salford City 2
    Goals: 1–3 (⌀ 2)

    Head-to-head based on League Two data since 2023.

    Key facts

    • Oldham Athletic have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Oldham Athletic
    Salford City
    When goals are scored and conceded — 2026
    Oldham Athletic (8–9)
    Salford City (8–9)
    Pass networks

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

    Oldham Athletic
    Oliver Lewis Norburn: 240 passningar, xT 0.13NorburnJamie David Robson: 189 passningar, xT 0.77RobsonGus Scott-Morriss: 167 passningar, xT 0.39Scott-MorrissKeenan Appiah-Forson: 138 passningar, xT 0.2Appiah-ForsonDonervon Daniels: 100 passningar, xT 0.12DanielsMathew Anthony Hudson: 98 passningar, xT 0.48HudsonRyan Liam Delaney: 80 passningar, xT 0.08DelaneyKane Drummond: 68 passningar, xT 1.26DrummondFavour Fawunmi: 68 passningar, xT 0.29FawunmiEmmanuel Gaetan Nguemkam Monthe: 51 passningar, xT 0.14MontheKarl Mike Fondop-Talum: 46 passningar, xT -0.05Fondop-Talum
    Salford City
    Adebola Oluwo: 280 passningar, xT 0.44OluwoTaylor Allen: 234 passningar, xT 0.69AllenJoe James Powell: 196 passningar, xT 0.52PowellWilliam Stewart Aimson: 182 passningar, xT 0.27AimsonWilliam James Norris: 159 passningar, xT 0.25NorrisElliot Bonds: 119 passningar, xT 0.25BondsBrendan Nana Akwasi Sarpong Wiredu: 93 passningar, xT 0.26WireduLuke James Molyneux: 88 passningar, xT 0.95MolyneuxDaniel George Scarr: 58 passningar, xT 0.1ScarrAbraham Ifoghale Odoh: 57 passningar, xT 0.05OdohKallum Xzeiba Tracey Cesay: 56 passningar, xT -0.1Cesay
    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.

    Oldham Athletic
    Oliver Lewis Norburn: 240 passningar, xT 0.13NorburnJamie David Robson: 189 passningar, xT 0.77RobsonGus Scott-Morriss: 167 passningar, xT 0.39Scott-MorrissKeenan Appiah-Forson: 138 passningar, xT 0.2Appiah-ForsonDonervon Daniels: 100 passningar, xT 0.12DanielsMathew Anthony Hudson: 98 passningar, xT 0.48HudsonRyan Liam Delaney: 80 passningar, xT 0.08DelaneyKane Drummond: 68 passningar, xT 1.26DrummondFavour Fawunmi: 68 passningar, xT 0.29FawunmiEmmanuel Gaetan Nguemkam Monthe: 51 passningar, xT 0.14MontheKarl Mike Fondop-Talum: 46 passningar, xT -0.05Fondop-Talum
    Salford City
    Adebola Oluwo: 280 passningar, xT 0.44OluwoTaylor Allen: 234 passningar, xT 0.69AllenJoe James Powell: 196 passningar, xT 0.52PowellWilliam Stewart Aimson: 182 passningar, xT 0.27AimsonWilliam James Norris: 159 passningar, xT 0.25NorrisElliot Bonds: 119 passningar, xT 0.25BondsBrendan Nana Akwasi Sarpong Wiredu: 93 passningar, xT 0.26WireduLuke James Molyneux: 88 passningar, xT 0.95MolyneuxDaniel George Scarr: 58 passningar, xT 0.1ScarrAbraham Ifoghale Odoh: 57 passningar, xT 0.05OdohKallum Xzeiba Tracey Cesay: 56 passningar, xT -0.1Cesay

    The teams in numbers

    PerformanceOldham AthleticSalford City
    Points77
    xPoints10.55.8
    xG per match1.41.1
    xGA per match1.21.4
    xG within 8s of winning the ball0.390.09
    xGA within 8s of losing the ball0.10.44
    Playing styleOldham AthleticSalford City
    Build-up efficiency0.370.37
    Field tilt0.50.58
    xT per match0.840.78
    xTA per match0.980.69
    Won balls, offensive half3123
    Pressing intensity0.210.24
    Pressing efficiency0.320.42
    Pressing efficiency, offensive half0.30.45
    Entries into the box per match1215
    Entries into the box against1013
    Pass completion %0.650.72
    Pass completion % under pressure0.630.66
    Passes per match254357
    Passes against per match327196
    Switches of play per match18.122.4
    Long balls per match3831
    Set piecesOldham AthleticSalford City
    xG from free kicks0.030.11
    Corners per match5.55.3
    Corners against per match4.53.7
    xG per corner0.030.01
    xGA per corner against0.020.02
    First touch, offensive corners %0.550.44
    First touch, defensive corners %0.580.64
    OtherOldham AthleticSalford City
    Throw-in control0.750.81
    The goalkeepersMathew Anthony Hudson (Oldham Athletic)William James Norris (Salford City)
    Saves1420
    Save %64%69%
    xG prevented55%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Oldham Athletic vs Salford City according to our model?

    The model gives Oldham Athletic a 40% win probability. Full 1X2 picture: Oldham Athletic 40%, draw 28%, Salford City 32%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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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