EFL League TwoNew York Stadium, Rotherham17°0,2 mm31 km/h

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    Rotherham UnitedRotherham UnitedPossession control
    vs
    Salford CitySalford CityPossession control
    The model's lean: 2 · Salford City (44%)Best value by the model: Under 0,5 @ 13.00 (+24 %)

    Rotherham UnitedSalford City · EFL League Two

    1 · Rotherham United 31%X 25%44% Salford City · 2

    Analysis: Rotherham UnitedSalford City

    Anna Karlsson · · A data-driven preview · How the predictions work

    A clash of possession football is set to unfold between Rotherham United and Salford City, with both teams favoring control of the ball. However, the numbers hint at a tighter affair than this stylistic similarity might suggest. Salford, despite their slight advantage in points, are somewhat lucky to lead Rotherham, who boast stronger underlying statistics in expected points and goals. The hosts average 1.3 expected goals per match, edging out Salford's 1.0, and are marginally better in defense too, conceding an expected 1.1 goals compared to the visitors' 1.2.

    The model, however, leans towards Salford City, giving them a 44% chance of victory. This is contrasted by a more muted expectation on the scoreline, with a 13% probability for a 1-1 draw standing as the most likely outcome. An intriguing tension exists between Salford City's higher win probability and their inferior xG performance, suggesting that their actual form may not hold as firmly as the stats imply. Moreover, Rotherham's capacity to control possession could play a crucial role in breaking down Salford's defenses, trying to exploit the visitors' slightly leakier backline.

    Both teams' tendencies to control the game might lead to a stifled match, with possession battles overshadowing goalmouth action. The expected goals lean towards a low-scoring outcome, further supported by the under 2.5 goals chance sitting at 57%. Yet, it is the enticing value proposition on a goalless draw that stands out. Betting markets, through Betsafe, Betsson, and Nordicbet, offer odds of 13.0 for under 0.5 goals, where the model suggests a 10% likelihood—translating to a healthy 24% edge.

    Despite Salford's edge in outright win probabilities, the game is poised to be tight and tactical. With both teams adept at holding the ball yet cautious in chance creation, the under 0.5 goals bet presents itself as a sharp angle for those seeking potential value.

    Rotherham UnitedRotherham United
    Form LDWDL
    League ranking xG #13xGA #5xT #18xP/match #7Points #17
    Key players
    • Denzel HallRBxG 0.10 · xT 0.12
    • Paul Philip MullinFxG 0.31 · xT 0.05
    • Lenny AgbaireCBxG 0.09 · xT 0.04
    Salford CitySalford City
    Form LLLWW
    League ranking xG #19xGA #9xT #14xP/match #23Points #13
    Key players
    • Adebola OluwoCBxG 0.11 · xT 0.08
    • Joe James PowellCAMxG 0.07 · xT 0.16
    • Ryan GraydonLWxG 0.08 · xT -0.02

    Match prediction: Rotherham UnitedSalford City

    Predicted score matrix

    Salford City
    Rotherham United
    0
    1
    2
    3
    4+
    0
    0–09.6%
    0–111.3%
    0–27.4%
    0–33.1%
    0–4+1.3%
    1
    1–09.9%
    1–113.4%
    1–28.3%
    1–33.5%
    1–4+1.5%
    2
    2–05.8%
    2–17.3%
    2–24.6%
    2–32.0%
    2–4+0.8%
    3
    3–02.1%
    3–12.7%
    3–21.7%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.8%
    4+–11.0%
    4+–20.6%
    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. 2.0-111%
    3. 3.1-010%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,121,27
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @2.07EV+16%
    Over 2,543%
    @1.76

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Salford City or draw (X2)68%
    • Under 3.5 goals78%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Double chance Salford City or draw (X2)68%
    • Under 2.5 goals57%
    • Macaulay Langstaff to score26%

    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 score49%
    • Over 2.5 goals43%
    • Macaulay Langstaff to score26%
    • Jamie Ryan Jellis 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 0.510% probability@13.00BetsafeEV+24%reference odds
    • Under 0.510% probability@13.00BetssonEV+24%reference odds
    • Under 0.510% probability@13.00NordicbetEV+24%reference odds
    Bookmaker1 · Rotherham UnitedX2 · Salford City
    Betsafe2.853.45
    EV+ 0%
    2.25
    Betsson2.853.45
    EV+ 0%
    2.25
    Nordicbet2.853.45
    EV+ 0%
    2.25
    Pinnacle2.753.73
    EV+ 5%
    2.37

    Odds updated 11 Sept, 14:39

    Odds movement

    Market signal

    The market has moved clearly towards a Rotherham United win since 6 September — the odds have shortened from 3.04 to 2.75 (−10%).

    1-10 %
    38 %28 %

    3.042.75

    X-5 %
    30 %20 %

    3.923.73

    2+14 %
    48 %38 %

    2.072.37

    Over 2,50 %
    59 %49 %

    1.761.76

    Pinnacle · 7 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Rotherham United
    Salford City
    When goals are scored and conceded 2026
    Rotherham United (67)
    Salford City (46)
    Pass networks

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

    Rotherham United
    Sonny Aljofree: 172 passningar, xT 0.17AljofreeEwan Otoo: 157 passningar, xT 0.77OtooDenzel Hall: 149 passningar, xT 0.58HallBrandon Ashley Cover: 115 passningar, xT 0.06CoverKian Alec Spence: 112 passningar, xT 0.05SpenceJili Buyabu: 90 passningar, xT 0.43BuyabuTed Cann: 86 passningar, xT 0.2CannJosh Austerfield: 77 passningar, xT 0.16AusterfieldLenny Agbaire: 62 passningar, xT 0.06AgbaireEmmanuel Adegboyega: 49 passningar, xT 0.03AdegboyegaJoe Rafferty: 49 passningar, xT 0.19Rafferty
    Salford City
    Adebola Oluwo: 274 passningar, xT 0.37OluwoWilliam Stewart Aimson: 256 passningar, xT 0.37AimsonJoe James Powell: 182 passningar, xT 0.58PowellWilliam James Norris: 155 passningar, xT 0.16NorrisTaylor Allen: 132 passningar, xT 0.36AllenLuke James Molyneux: 113 passningar, xT 0.75MolyneuxJorge Edward Grant: 91 passningar, xT 0.05GrantBrendan Nana Akwasi Sarpong Wiredu: 90 passningar, xT 0.1WireduOliver Anthony Turton: 87 passningar, xT 0.27TurtonLuke Garbutt: 77 passningar, xT 0.03GarbuttElliot Bonds: 70 passningar, xT 0.22Bonds
    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.

    Rotherham United
    Sonny Aljofree: 172 passningar, xT 0.17AljofreeEwan Otoo: 157 passningar, xT 0.77OtooDenzel Hall: 149 passningar, xT 0.58HallBrandon Ashley Cover: 115 passningar, xT 0.06CoverKian Alec Spence: 112 passningar, xT 0.05SpenceJili Buyabu: 90 passningar, xT 0.43BuyabuTed Cann: 86 passningar, xT 0.2CannJosh Austerfield: 77 passningar, xT 0.16AusterfieldLenny Agbaire: 62 passningar, xT 0.06AgbaireEmmanuel Adegboyega: 49 passningar, xT 0.03AdegboyegaJoe Rafferty: 49 passningar, xT 0.19Rafferty
    Salford City
    Adebola Oluwo: 274 passningar, xT 0.37OluwoWilliam Stewart Aimson: 256 passningar, xT 0.37AimsonJoe James Powell: 182 passningar, xT 0.58PowellWilliam James Norris: 155 passningar, xT 0.16NorrisTaylor Allen: 132 passningar, xT 0.36AllenLuke James Molyneux: 113 passningar, xT 0.75MolyneuxJorge Edward Grant: 91 passningar, xT 0.05GrantBrendan Nana Akwasi Sarpong Wiredu: 90 passningar, xT 0.1WireduOliver Anthony Turton: 87 passningar, xT 0.27TurtonLuke Garbutt: 77 passningar, xT 0.03GarbuttElliot Bonds: 70 passningar, xT 0.22Bonds

    The teams in numbers

    PerformanceRotherham UnitedSalford City
    Points56
    xPoints7.85.1
    xG per match1.31
    xGA per match1.11.2
    xG within 8s of winning the ball0.160.11
    xGA within 8s of losing the ball0.270.48
    Playing styleRotherham UnitedSalford City
    Build-up efficiency0.350.37
    Field tilt0.490.65
    xT per match0.710.78
    xTA per match0.750.62
    Won balls, offensive half2425
    Pressing intensity0.230.24
    Pressing efficiency0.360.46
    Pressing efficiency, offensive half0.340.48
    Entries into the box per match915
    Entries into the box against1112
    Pass completion %0.650.72
    Pass completion % under pressure0.670.67
    Passes per match278372
    Passes against per match309173
    Switches of play per match20.423.8
    Long balls per match2931
    Set piecesRotherham UnitedSalford City
    xG from free kicks0.030.13
    Corners per match3.55.8
    Corners against per match5.13.6
    xG per corner0.010.01
    xGA per corner against0.020.02
    First touch, offensive corners %0.280.41
    First touch, defensive corners %0.690.56
    OtherRotherham UnitedSalford City
    Throw-in control0.760.82
    The goalkeepersTed Cann (Rotherham United)William James Norris (Salford City)
    Saves1212
    Save %63%67%
    xG prevented39%36%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rotherham United vs Salford City according to our model?

    The model gives Salford City a 44% win probability. Full 1X2 picture: Rotherham United 31%, draw 25%, Salford City 44%.

    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 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.