EFL League TwoPeninsula Stadium, Salford9°14 km/h

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    Salford CitySalford CityPossession control
    2–1
    Crawley TownCrawley TownPossession control
    The model's lean: 1 · Salford City (63%)Best value by the model: 2 · Crawley Town @ 7.84 (+28 %)

    Salford City vs Crawley Town · EFL League Two

    1 · Salford City 63%X 21%16% Crawley Town · 2

    Prediction summary

    Final score 2–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Salford City vs Crawley Town (EFL League Two, Saturday, 17 October 2026): Salford City win 63%, draw 21%, Crawley Town win 16%. Expected goals (xG): Salford City 2.07, Crawley Town 1.02. Most likely score: 2-1 (10%). Over 2.5 goals 60%, both teams to score 56%. Double chance: Salford City or draw 84%, Crawley Town or draw 37%. Prediction updated Friday, 9 October 2026.

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    Analysis: Salford City – Crawley Town

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

    Salford City is riding a wave of momentum, entering this match with four consecutive victories. This streak is a testament to their form, bringing them face to face with a Crawley Town side struggling with just five points to their name. The hosts play a possession-based game, likely dominating the ball against a Crawley team that mirrors this style but has faltered defensively, conceding an average of two goals per match. The expectation is that Salford will utilize their current form and possession control to break down Crawley's leaky defense.

    The numbers tilt heavily in Salford's favor. With a 63% win probability according to the model, the likelihood of the hosts extending their winning run is pronounced. Crawley, with a 16% chance of victory, seems to face a daunting task. Despite this, the small head-to-head sample since 2023, which has seen Salford unbeaten, holds less weight than the current season form and the expected goals tally. Salford's xG of 2.07 against Crawley's 1.02 suggests that they should create more and better chances, aligning with the most likely scorelines of 2-0 or 2-1.

    Interestingly, both sides favor a possession-centric approach, making for a potentially tactical affair. Yet, Salford's advantage in expected goals against per match (1.1 versus Crawley's 2.0) implies that they should be able to keep Crawley at bay while capitalizing on their own chances. The model's estimation of a 60% chance for over 2.5 goals and a 56% chance for both teams to score indicates that goals are likely, albeit primarily in Salford's favor.

    From a betting perspective, while Salford appears the strong favorite, the value may lie elsewhere. Betsafe and Nordicbet offer odds of 7.3 for a Crawley upset, which the model assesses as having a 19% edge. Similarly, LeoVegas throws a tempting 10% edge behind the draw at odds of 5.2. For those looking for a calculated risk, these could be worth a closer look as the game unfolds.

    Salford CitySalford City
    Form DWWWW
    League ranking xG #15xGA #4xT #13xP/match #16Points #1
    Key players
    • Adebola OluwoCBxG 0.12 · xT 0.08
    • Joe James PowellCAMxG 0.09 · xT 0.14
    • William Stewart AimsonCBxG 0.05 · xT 0.10
    Crawley TownCrawley Town
    Form DLLLD
    League ranking xG #8xGA #24xT #10xP/match #21Points #24
    Key players
    • Jude ArthursCMxG 0.14 · xT 0.07
    • Adetokunbo Bamidele AdeyemoRWxG 0.05 · xT 0.12
    • Charlie Mel BarkerCBxG 0.02 · xT 0.07
    Final score
    2 – 1
    The model called the outcome
    Predicted probabilities: Salford City 63% · Draw 21% · Crawley Town 16%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Crawley TownBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 19,24fair 20,71-7 %
    Miss
    Matchresultat - Salford City FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,51fair 5,01-30 %
    Miss

    Match prediction: Salford City – Crawley Town

    Predicted score matrix

    Crawley Town →
    Salford City →
    0
    1
    2
    3
    4+
    0
    0–04.8%
    0–14.4%
    0–22.4%
    0–30.8%
    0–4+0.3%
    1
    1–09.2%
    1–19.9%
    1–24.9%
    1–31.7%
    1–4+0.5%
    2
    2–09.8%
    2–19.9%
    2–25.1%
    2–31.7%
    2–4+0.5%
    3
    3–06.7%
    3–16.9%
    3–23.5%
    3–31.2%
    3–4+0.4%
    4+
    4+–05.6%
    4+–15.7%
    4+–22.9%
    4+–31.0%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-110%
    3. 3.2-010%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    2,07–1,02
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.68EV+8%
    Over 2,560%
    @1.45

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Salford City to win63%
    • Over 1.5 goals82%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Salford City to win63%
    • Over 2.5 goals60%
    • Macaulay Langstaff to score37%

    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 score56%
    • Over 2.5 goals60%
    • Macaulay Langstaff to score37%
    • Jude Arthurs to be booked24%

    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+).

    • 2 · Crawley Town16% probability@7.84PinnacleEV+28%reference odds
    • 2 · Crawley Town16% probability@7.30BetsafeEV+19%reference odds
    • 2 · Crawley Town16% probability@7.30NordicbetEV+19%reference odds
    Bookmaker1 · Salford CityX2 · Crawley Town
    Betsafe1.384.55
    EV+ 19%
    7.30
    LeoVegas1.35
    EV+ 6%
    5.00
    EV+ 14%
    7.00
    Nordicbet1.384.55
    EV+ 19%
    7.30
    Pinnacle1.35
    EV+ 15%
    5.45
    EV+ 28%
    7.84

    Odds updated 17 Oct, 13:38

    Odds movement

    1+1 %
    73 %68 %

    1.33 → 1.35

    X+2 %
    20 %15 %

    5.33 → 5.45

    2+5 %
    15 %10 %

    7.44 → 7.84

    Pinnacle · 11 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Salford City 1Draw 1Crawley Town 0
    Goals: 4–3 (⌀ 3,5)

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

    Key facts

    • Salford City come into this round on 4 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Salford City
    Crawley Town
    When goals are scored and conceded — 2026
    Salford City (15–10)
    Crawley Town (8–15)
    Pass networks

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

    Salford City
    Taylor Allen: 237 passningar, xT 0.57AllenDaniel George Scarr: 176 passningar, xT 0.14ScarrWilliam James Norris: 155 passningar, xT 0.23NorrisWilliam Stewart Aimson: 146 passningar, xT 0.56AimsonJoe James Powell: 120 passningar, xT 0.24PowellAdebola Oluwo: 111 passningar, xT 0.2OluwoJorge Edward Grant: 80 passningar, xT 0.49GrantBrendan Nana Akwasi Sarpong Wiredu: 80 passningar, xT 0.14WireduAbraham Ifoghale Odoh: 79 passningar, xT 0.11OdohElliot Bonds: 73 passningar, xT 0.06BondsLuke James Molyneux: 69 passningar, xT 0.59Molyneux
    Crawley Town
    Charlie Mel Barker: 248 passningar, xT 0.4BarkerPriestley Tyler Heginbottom Farquharson: 239 passningar, xT 0.55FarquharsonAdetokunbo Bamidele Adeyemo: 198 passningar, xT 0.4AdeyemoJude Arthurs: 186 passningar, xT 0.47ArthursAkinwale Joseph Odimayo: 115 passningar, xT 0.09OdimayoJackson Izquierdo: 90 passningar, xT 0.06IzquierdoLouie Shaun Watson: 87 passningar, xT -0.09WatsonDylan Morgan: 80 passningar, xT 0.17MorganKellan Gordon: 80 passningar, xT 0.66GordonKlaudio Krasniqi: 73 passningar, xT 0.12KrasniqiNicholas Jake Michalski: 71 passningar, xT 0.12Michalski
    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.

    Salford City
    Taylor Allen: 237 passningar, xT 0.57AllenDaniel George Scarr: 176 passningar, xT 0.14ScarrWilliam James Norris: 155 passningar, xT 0.23NorrisWilliam Stewart Aimson: 146 passningar, xT 0.56AimsonJoe James Powell: 120 passningar, xT 0.24PowellAdebola Oluwo: 111 passningar, xT 0.2OluwoJorge Edward Grant: 80 passningar, xT 0.49GrantBrendan Nana Akwasi Sarpong Wiredu: 80 passningar, xT 0.14WireduAbraham Ifoghale Odoh: 79 passningar, xT 0.11OdohElliot Bonds: 73 passningar, xT 0.06BondsLuke James Molyneux: 69 passningar, xT 0.59Molyneux
    Crawley Town
    Charlie Mel Barker: 248 passningar, xT 0.4BarkerPriestley Tyler Heginbottom Farquharson: 239 passningar, xT 0.55FarquharsonAdetokunbo Bamidele Adeyemo: 198 passningar, xT 0.4AdeyemoJude Arthurs: 186 passningar, xT 0.47ArthursAkinwale Joseph Odimayo: 115 passningar, xT 0.09OdimayoJackson Izquierdo: 90 passningar, xT 0.06IzquierdoLouie Shaun Watson: 87 passningar, xT -0.09WatsonDylan Morgan: 80 passningar, xT 0.17MorganKellan Gordon: 80 passningar, xT 0.66GordonKlaudio Krasniqi: 73 passningar, xT 0.12KrasniqiNicholas Jake Michalski: 71 passningar, xT 0.12Michalski

    The teams in numbers

    PerformanceSalford CityCrawley Town
    Points195
    xPoints13.29.1
    xG per match1.21.4
    xGA per match1.12
    xG within 8s of winning the ball0.140.2
    xGA within 8s of losing the ball0.30.43
    Playing styleSalford CityCrawley Town
    Build-up efficiency0.370.31
    Field tilt0.590.51
    xT per match0.820.91
    xTA per match0.641.2
    Won balls, offensive half2423
    Pressing intensity0.230.24
    Pressing efficiency0.40.37
    Pressing efficiency, offensive half0.420.38
    Entries into the box per match1413
    Entries into the box against1115
    Pass completion %0.710.72
    Pass completion % under pressure0.670.65
    Passes per match341323
    Passes against per match218244
    Switches of play per match1924.8
    Long balls per match2829
    Set piecesSalford CityCrawley Town
    xG from free kicks0.10.04
    Corners per match6.43.9
    Corners against per match4.55.4
    xG per corner0.010.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.440.5
    First touch, defensive corners %0.690.55
    OtherSalford CityCrawley Town
    Throw-in control0.740.78
    The goalkeepersWilliam James Norris (Salford City)Nicholas Jake Michalski (Crawley Town)
    Saves2316
    Save %70%64%
    xG prevented40%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Salford City vs Crawley Town according to our model?

    The model gives Salford City a 63% win probability. Full 1X2 picture: Salford City 63%, draw 21%, Crawley Town 16%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in Salford City vs Crawley Town?

    The model expects 2.07 goals (xG) for Salford City and 1.02 for Crawley Town, 3.09 in total.

    What does the model say about double chance?

    Salford City or draw (1X) 84%, Crawley Town or draw (X2) 37% and no draw (12) 79%.

    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.