EFL League TwoBroadfield Stadium, Crawley12°8,3 mm12 km/h

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    Crawley TownCrawley TownPossession control
    2–3
    Shrewsbury TownShrewsbury TownLow block & direct
    The model's lean: 1 · Crawley Town (37%)Best value by the model: Under 2,5 @ 1.99 (+12 %)

    Crawley Town vs Shrewsbury Town · EFL League Two

    1 · Crawley Town 37%X 28%35% Shrewsbury Town · 2

    Prediction summary

    Final score 2–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Crawley Town vs Shrewsbury Town (EFL League Two, Tuesday, 20 October 2026): Crawley Town win 37%, draw 28%, Shrewsbury Town win 35%. Expected goals (xG): Crawley Town 1.27, Shrewsbury Town 1.16. Most likely score: 1-1 (13%). Over 2.5 goals 44%, both teams to score 50%. Double chance: Crawley Town or draw 65%, Shrewsbury Town or draw 63%. Prediction updated Monday, 12 October 2026.

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    Analysis: Crawley Town – Shrewsbury Town

    Sofia Andersson · · The model's read on the match · How the predictions work

    The model's lean towards Crawley Town is intriguing, given the apparent superiority of Shrewsbury Town's season metrics. Despite the model suggesting a slight edge for Crawley, their head-to-head record, albeit small, shows no wins against Shrewsbury. This sets up a narrative where Crawley might be perceived as underdogs trying to capitalize on home advantage.

    Crawley's expected goals per match sit at 1.3, which is marginally less than Shrewsbury's 1.4. However, the hosts have a glaring weakness in defense, with an average of 2.0 goals conceded per game, doubling that of the visitors. This defensive frailty could be exploited by Shrewsbury's direct playing style, making the potential for a Crawley upset less convincing despite the model's suggestion.

    The expected goals for this matchup are tightly knit at 1.27 for Crawley and 1.16 for Shrewsbury. This suggests a low-scoring game, supported by the 44% probability for over 2.5 goals and a 50% chance for both teams to score. The weather conditions, with rain expected, might further suppress goal-scoring opportunities as they often favor defensive setups, which plays into Shrewsbury's hands.

    While the most likely scorelines are 1-1 and 1-0, the sharpest betting angle emerges in the under markets. Specifically, the value on under 1.5 goals at odds of 3.7 with Betsafe, rated at 30% by the model, provides an 11% edge. Similarly, the under 0.5 goals at odds 12.0 with both Betsafe and Nordicbet offers an intriguing play for those inclined towards high-risk, high-reward opportunities, given the low-scoring tendencies suggested by the data.

    Ultimately, while Crawley Town may have a model-backed chance, the numbers point to a closely contested affair, likely edging towards Shrewsbury Town, with conservative goal expectations favored.

    Crawley TownCrawley Town
    Form LLLDL
    League ranking xG #12xGA #24xT #12xP/match #23Points #24
    Key players
    • Jude ArthursCMxG 0.15 · xT 0.06
    • Adetokunbo Bamidele AdeyemoRWxG 0.05 · xT 0.12
    • Charlie Mel BarkerCBxG 0.04 · xT 0.07
    Shrewsbury TownShrewsbury Town
    Form DDWLW
    League ranking xG #8xGA #2xT #10xP/match #2Points #11
    Key players
    • Tom SangRWxG 0.01 · xT 0.19
    • Kian McMahon-BrownLWxG 0.20 · xT 0.04
    • Sam StubbsCBxG 0.13 · xT 0.08
    Final score
    2 – 3
    The model missed the outcome
    Predicted probabilities: Crawley Town 37% · Draw 28% · Shrewsbury Town 35%

    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 9,21fair 12,34-25 %
    Miss
    Matchresultat - ShrewsburyBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,49fair 14,79-49 %
    Hit

    Match prediction: Crawley Town – Shrewsbury Town

    Predicted score matrix

    Shrewsbury Town →
    Crawley Town →
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–19.9%
    0–25.9%
    0–32.3%
    0–4+0.8%
    1
    1–010.9%
    1–113.4%
    1–27.5%
    1–32.9%
    1–4+1.1%
    2
    2–07.1%
    2–18.2%
    2–24.8%
    2–31.8%
    2–4+0.7%
    3
    3–03.0%
    3–13.5%
    3–22.0%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.3%
    4+–11.5%
    4+–20.8%
    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
    1,27–1,16
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.99EV+8%
    Over 2,544%
    @1.85

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Crawley Town or draw (1X)67%
    • Under 3.5 goals77%

    Combined probability

    52%

    Fair odds

    1.93

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

    02 · 3 legs

    Balanced

    • Double chance Crawley Town or draw (1X)67%
    • Under 2.5 goals56%
    • Dylan Morgan to score21%

    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%
    • Dylan Morgan to score21%
    • Jay Turner-Cooke to be booked21%

    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 2.556% probability@1.99PinnacleEV+12%reference odds
    • Under 0.59% probability@12.00BetsafeEV+11%reference odds
    • Under 0.59% probability@12.00NordicbetEV+11%reference odds
    Bookmaker1 · Crawley TownX2 · Shrewsbury Town
    BetMGM UK2.503.352.60
    Betsafe
    EV+ 6%
    2.85
    3.302.35
    LeoVegas
    EV+ 6%
    2.85
    3.302.35
    Nordicbet
    EV+ 6%
    2.85
    3.302.35
    Pinnacle
    EV+ 7%
    2.89
    3.472.42

    Odds updated 20 Oct, 11:36

    Odds movement

    1+3 %
    36 %31 %

    2.80 → 2.89

    X+4 %
    30 %25 %

    3.35 → 3.47

    2-1 %
    41 %36 %

    2.45 → 2.42

    Over 2,5+1 %
    54 %49 %

    1.83 → 1.85

    Pinnacle · 6 recorded price levels · 18/10/2026 → 20/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Crawley Town 0Draw 1Shrewsbury Town 1
    Goals: 0–1 (⌀ 0,5)

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

    xG & xGA per match — 3-game rolling average

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

    Crawley Town
    Shrewsbury Town
    When goals are scored and conceded — 2026
    Crawley Town (9–17)
    Shrewsbury Town (10–15)
    Pass networks

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

    Crawley Town
    Charlie Mel Barker: 203 passningar, xT 0.33BarkerAdetokunbo Bamidele Adeyemo: 173 passningar, xT 0.39AdeyemoPriestley Tyler Heginbottom Farquharson: 167 passningar, xT 0.43FarquharsonJude Arthurs: 161 passningar, xT 0.43ArthursKellan Gordon: 89 passningar, xT 0.8GordonDylan Morgan: 80 passningar, xT 0.14MorganAkinwale Joseph Odimayo: 80 passningar, xT 0.11OdimayoNicholas Jake Michalski: 71 passningar, xT 0.12MichalskiLouie Shaun Watson: 64 passningar, xT -0.08WatsonJonathan Russell: 53 passningar, xT 0.23RussellOsman Hassan Kamara: 48 passningar, xT 0.56Kamara
    Shrewsbury Town
    Sam Stubbs: 109 passningar, xT 0.45StubbsJay Turner-Cooke: 103 passningar, xT 0.24Turner-CookeTom Sang: 96 passningar, xT 0.73SangKevin Berkoe: 75 passningar, xT 1.02BerkoeJoshua Andrew Bernard Ruffels: 75 passningar, xT 0.21RuffelsWilliam Michael Brook: 68 passningar, xT 0.34BrookWilliam Sam Douglas Harry Boyle: 62 passningar, xT 0.06BoyleKian McMahon-Brown: 46 passningar, xT 0.1McMahon-BrownLuca Anthony Hoole: 44 passningar, xT 0.07HooleIsaac Andrew Fletcher: 34 passningar, xT 0.42FletcherGeorge Robert Lawrence Lloyd: 31 passningar, xT 0.12Lloyd
    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.

    Crawley Town
    Charlie Mel Barker: 203 passningar, xT 0.33BarkerAdetokunbo Bamidele Adeyemo: 173 passningar, xT 0.39AdeyemoPriestley Tyler Heginbottom Farquharson: 167 passningar, xT 0.43FarquharsonJude Arthurs: 161 passningar, xT 0.43ArthursKellan Gordon: 89 passningar, xT 0.8GordonDylan Morgan: 80 passningar, xT 0.14MorganAkinwale Joseph Odimayo: 80 passningar, xT 0.11OdimayoNicholas Jake Michalski: 71 passningar, xT 0.12MichalskiLouie Shaun Watson: 64 passningar, xT -0.08WatsonJonathan Russell: 53 passningar, xT 0.23RussellOsman Hassan Kamara: 48 passningar, xT 0.56Kamara
    Shrewsbury Town
    Sam Stubbs: 109 passningar, xT 0.45StubbsJay Turner-Cooke: 103 passningar, xT 0.24Turner-CookeTom Sang: 96 passningar, xT 0.73SangKevin Berkoe: 75 passningar, xT 1.02BerkoeJoshua Andrew Bernard Ruffels: 75 passningar, xT 0.21RuffelsWilliam Michael Brook: 68 passningar, xT 0.34BrookWilliam Sam Douglas Harry Boyle: 62 passningar, xT 0.06BoyleKian McMahon-Brown: 46 passningar, xT 0.1McMahon-BrownLuca Anthony Hoole: 44 passningar, xT 0.07HooleIsaac Andrew Fletcher: 34 passningar, xT 0.42FletcherGeorge Robert Lawrence Lloyd: 31 passningar, xT 0.12Lloyd

    The teams in numbers

    PerformanceCrawley TownShrewsbury Town
    Points514
    xPoints9.718.5
    xG per match1.31.4
    xGA per match20.95
    xG within 8s of winning the ball0.180.24
    xGA within 8s of losing the ball0.450.14
    Playing styleCrawley TownShrewsbury Town
    Build-up efficiency0.310.33
    Field tilt0.50.43
    xT per match0.880.9
    xTA per match1.20.88
    Won balls, offensive half2330
    Pressing intensity0.240.23
    Pressing efficiency0.370.33
    Pressing efficiency, offensive half0.370.29
    Entries into the box per match1212
    Entries into the box against1511
    Pass completion %0.710.58
    Pass completion % under pressure0.650.55
    Passes per match318193
    Passes against per match259309
    Switches of play per match23.913.9
    Long balls per match2928
    Set piecesCrawley TownShrewsbury Town
    xG from free kicks0.040.13
    Corners per match3.95.5
    Corners against per match5.44.4
    xG per corner0.030.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.530.49
    First touch, defensive corners %0.510.67
    OtherCrawley TownShrewsbury Town
    Throw-in control0.780.76
    The goalkeepersNicholas Jake Michalski (Crawley Town)William Michael Brook (Shrewsbury Town)
    Saves1617
    Save %64%53%
    xG prevented52%36%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Crawley Town vs Shrewsbury Town according to our model?

    The model gives Crawley Town a 37% win probability. Full 1X2 picture: Crawley Town 37%, draw 28%, Shrewsbury Town 35%.

    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.

    How many goals are expected in Crawley Town vs Shrewsbury Town?

    The model expects 1.27 goals (xG) for Crawley Town and 1.16 for Shrewsbury Town, 2.42 in total.

    What does the model say about double chance?

    Crawley Town or draw (1X) 65%, Shrewsbury Town or draw (X2) 63% and no draw (12) 72%.

    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.