EFL League TwoThe Hive, London19°12 km/h

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    BarnetBarnetCounter-attacks & crosses
    vs
    Salford CitySalford CityCounter-attacks & crosses
    The model's lean: 1 · Barnet (50%)

    BarnetSalford City · EFL League Two

    1 · Barnet 50%X 26%23% Salford City · 2

    Analysis: BarnetSalford City

    Erik Lindberg · · How the predictions work

    In a clash of styles where both Barnet and Salford City favour counter attacks and crosses, the numbers tilt in Barnet's favour. With a 50% model probability backing them, the home side is poised to extend their impressive run of five straight wins. Barnet's attack has been relentless, finding the net in 10 consecutive league matches, and their xG of 1.7 per match underscores their offensive potency. In contrast, Salford City, with an xG of 1.4, may struggle to breach Barnet's defence, especially given the visitors’ expected goals tally sits at a modest 0.96 for this fixture.

    Barnet's recent form eclipses Salford City's better points tally of 85 compared to Barnet's 76. Yet, when delving into the underlying numbers, Salford City's slight edge in points is countered by Barnet's more robust expected points and expected goals metrics. Furthermore, the historical head-to-head—small as it is with only two matches—leans towards Salford City, but such a limited sample is hardly definitive, especially with Barnet's current form.

    With the most likely scorelines being a tight 1-1 or a narrow 1-0 victory, the model suggests a more tactical than explosive game. The over 2.5 goals probability sits at 47%, while both teams to score is at 49%, indicating a marginally subdued affair, possibly influenced by the weather if adverse conditions were to arise.

    Barnet holds a compelling betting angle, especially for the shrewd punter. At odds of 2.38 with Betsafe, Betsson, and Nordicbet, there's a 19% value edge on a Barnet win, according to the model's 50% probability. While not a guarantee, there's a solid rationale for backing Barnet to edge this encounter, potentially sealing it with a 1-0 or 2-0 scoreline.

    BarnetBarnet
    Form WWWWW
    League ranking xG #1xGA #4xT #3xP/match #4Points #8
    Key players
    • Kabongo TshimangaFxG 0.36 · xT 0.00
    • Mark John SheltonCAMxG 0.32 · xT 0.06
    • Ryan GloverRWxG 0.21 · xT 0.24
    Salford CitySalford City
    Form WDWDL
    League ranking xG #5xGA #10xT #17xP/match #9Points #4
    Key players
    • Kallum Xzeiba Tracey CesayFxG 0.18 · xT 0.07
    • Dominic Daniel UdohFxG 0.23 · xT 0.04
    • Ryan GraydonFxG 0.28 · xT 0.09

    Match prediction: BarnetSalford City

    Predicted score matrix

    Salford City
    Barnet
    0
    1
    2
    3
    4+
    0
    0–08.2%
    0–17.2%
    0–23.7%
    0–31.2%
    0–4+0.3%
    1
    1–012.1%
    1–112.3%
    1–25.8%
    1–31.9%
    1–4+0.5%
    2
    2–09.8%
    2–19.4%
    2–24.6%
    2–31.5%
    2–4+0.4%
    3
    3–05.2%
    3–15.0%
    3–22.4%
    3–30.8%
    3–4+0.2%
    4+
    4+–02.9%
    4+–12.8%
    4+–21.3%
    4+–30.4%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-012%
    3. 3.2-010%
    4. 4.2-19%
    5. 5.0-08%
    Expected goals
    1,580,96
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,5
    Under 2,553%
    @1.85
    Over 2,547%
    @1.93

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Barnet to win50%
    • Under 3.5 goals75%

    Combined probability

    36%

    Fair odds

    2.74

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

    02 · 3 legs

    Balanced

    • Barnet to win50%
    • Under 2.5 goals53%
    • Kabongo Tshimanga to score41%

    Combined probability

    9%

    Fair odds

    11.03

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score49%
    • Over 2.5 goals47%
    • Kabongo Tshimanga to score41%
    • Matthew David Butcher to be booked20%

    Combined probability

    3%

    Fair odds

    31.85

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 1 · Barnet50% probability@2.28BetsafeEV+14%
    • 1 · Barnet50% probability@2.28BetssonEV+14%
    • 1 · Barnet50% probability@2.28NordicbetEV+14%
    Bookmaker1 · BarnetX2 · Salford City
    Betsafe
    EV+ 14%
    2.28
    3.302.98
    Betsson
    EV+ 14%
    2.28
    3.302.98
    Nordicbet
    EV+ 14%
    2.28
    3.302.98
    Pinnacle
    EV+ 14%
    2.28
    3.313.09

    Odds updated 12 Aug, 16:36

    Odds movement

    1-4 %
    43 %38 %

    2.372.28

    X+2 %
    31 %26 %

    3.253.31

    2+3 %
    33 %28 %

    2.993.09

    Over 2,5-2 %
    51 %46 %

    1.981.93

    Pinnacle · 2 recorded price levels · 11/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Barnet 0Draw 0Salford City 2
    Goals: 15 (⌀ 3)

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

    Key facts

    • Barnet come into this round on 5 straight wins.
    • Barnet have scored in 10 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Barnet
    Salford City
    When goals are scored and conceded 2025
    Barnet (7053)
    Salford City (6557)
    Pass networks

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

    Barnet
    Nikola Tavares: 177 passningar, xT 0.17TavaresRomoney Crichlow: 154 passningar, xT 0.19CrichlowAnthony Rhys Hartigan: 137 passningar, xT 0.12HartiganMark John Shelton: 134 passningar, xT 0.13SheltonRyan Glover: 132 passningar, xT 1.8GloverAdam Nicholas Senior: 120 passningar, xT 0.43SeniorCieran Peter Slicker: 116 passningar, xT 0.17SlickerNnamdi Ofoborh: 105 passningar, xT 0.35OfoborhCallum Lee Stead: 87 passningar, xT 0.27SteadIdris Sheka Kanu: 75 passningar, xT 0.78KanuKane John Smith: 65 passningar, xT 0.38Smith
    Salford City
    Luke Garbutt: 156 passningar, xT 0.9GarbuttJosh Austerfield: 99 passningar, xT 0.41AusterfieldMatthew David Butcher: 92 passningar, xT 0.65ButcherAdebola Oluwo: 79 passningar, xT 0.07OluwoMatthew Young: 76 passningar, xT 0.38YoungHaji Mnoga: 72 passningar, xT 0.15MnogaBrandon James Cooper: 62 passningar, xT 0.12CooperRyan Graydon: 54 passningar, xT 0.44GraydonDominic Daniel Udoh: 54 passningar, xT 0.35UdohOliver Anthony Turton: 43 passningar, xT 0.17TurtonKallum Xzeiba Tracey Cesay: 29 passningar, xT 0.11Cesay
    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.

    Barnet
    Nikola Tavares: 177 passningar, xT 0.17TavaresRomoney Crichlow: 154 passningar, xT 0.19CrichlowAnthony Rhys Hartigan: 137 passningar, xT 0.12HartiganMark John Shelton: 134 passningar, xT 0.13SheltonRyan Glover: 132 passningar, xT 1.8GloverAdam Nicholas Senior: 120 passningar, xT 0.43SeniorCieran Peter Slicker: 116 passningar, xT 0.17SlickerNnamdi Ofoborh: 105 passningar, xT 0.35OfoborhCallum Lee Stead: 87 passningar, xT 0.27SteadIdris Sheka Kanu: 75 passningar, xT 0.78KanuKane John Smith: 65 passningar, xT 0.38Smith
    Salford City
    Luke Garbutt: 156 passningar, xT 0.9GarbuttJosh Austerfield: 99 passningar, xT 0.41AusterfieldMatthew David Butcher: 92 passningar, xT 0.65ButcherAdebola Oluwo: 79 passningar, xT 0.07OluwoMatthew Young: 76 passningar, xT 0.38YoungHaji Mnoga: 72 passningar, xT 0.15MnogaBrandon James Cooper: 62 passningar, xT 0.12CooperRyan Graydon: 54 passningar, xT 0.44GraydonDominic Daniel Udoh: 54 passningar, xT 0.35UdohOliver Anthony Turton: 43 passningar, xT 0.17TurtonKallum Xzeiba Tracey Cesay: 29 passningar, xT 0.11Cesay

    The teams in numbers

    PerformanceBarnetSalford City
    Points7685
    xPoints72.472.7
    xG per match1.71.4
    xGA per match1.11.2
    xG within 8s of winning the ball0.270.24
    xGA within 8s of losing the ball0.20.19
    Playing styleBarnetSalford City
    Build-up efficiency0.350.37
    Field tilt0.660.53
    xT per match10.82
    xTA per match0.670.75
    Won balls, offensive half3130
    Pressing intensity0.220.23
    Pressing efficiency0.440.44
    Pressing efficiency, offensive half0.410.43
    Entries into the box per match1512
    Entries into the box against911
    Pass completion %0.650.6
    Pass completion % under pressure0.630.6
    Passes per match283220
    Passes against per match195215
    Switches of play per match16.716.2
    Long balls per match2932
    Set piecesBarnetSalford City
    xG from free kicks0.130.15
    Corners per match6.95.6
    Corners against per match3.34.2
    xG per corner0.050.05
    xGA per corner against0.060.06
    First touch, offensive corners %0.470.3
    First touch, defensive corners %0.660.59
    OtherBarnetSalford City
    Throw-in control0.70.72
    The goalkeepersCieran Peter Slicker (Barnet)Matthew Young (Salford City)
    Saves97124
    Save %68%71%
    xG prevented43%49%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Barnet vs Salford City according to our model?

    The model gives Barnet a 50% win probability. Full 1X2 picture: Barnet 50%, draw 26%, Salford City 23%.

    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 47% and under at 53%.

    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.