EFL League TwoCounty Ground, Swindon9°20 km/h

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    Swindon TownSwindon TownPossession control
    1–1
    WalsallWalsallCounter-attacks & crosses
    The model's lean: 2 · Walsall (40%)Best value by the model: Under 0,5 @ 15.00 (+18 %)

    Swindon Town vs Walsall · EFL League Two

    1 · Swindon Town 32%X 27%40% Walsall · 2

    Prediction summary

    Final score 1–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Swindon Town vs Walsall (EFL League Two, Saturday, 17 October 2026): Swindon Town win 32%, draw 27%, Walsall win 40%. Expected goals (xG): Swindon Town 1.18, Walsall 1.42. Most likely score: 1-1 (13%). Over 2.5 goals 48%, both teams to score 53%. Double chance: Swindon Town or draw 60%, Walsall or draw 68%. Prediction updated Friday, 9 October 2026.

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    Analysis: Swindon Town – Walsall

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Walsall's nine-match unbeaten run in the league places them at 40% to win against Swindon Town, whose possession control may struggle against the visitors' counter-attacking style. With model projections giving Walsall a slight edge in expected goals at 1.42 to Swindon's 1.18, the visitors are favored. The most probable result is a 1-1 draw at 13%, but the 0-1 outcome at 10% further hints at Walsall's potential advantage.

    The head-to-head tally since 2023, with each team winning twice, is too small to challenge the current trend and Walsall's superior form. Both teams show nearly identical points and expected points, but Walsall's higher xG and lower xGA per match reinforce their quality advantage. Swindon's defense could be vulnerable to Walsall's crossing strategy, aligning with the model's lean toward the visitors claiming a narrow victory.

    For the betting angle, the under 2.5 goals at odds 2.18 with Betsafe presents a 13% edge, supported by the model's 52% rating. Despite the likelihood of a tight affair, the under 0.5 at 15.0 with Betsafe or Nordicbet carries significant risk but also an appealing 18% edge if you're seeking higher value.

    Swindon TownSwindon Town
    Form LLDLL
    League ranking xG #21xGA #23xT #22xP/match #20Points #17
    Key players
    • Daniel ButlerLBxG 0.00 · xT 0.18
    • Aaron John DrinanFxG 0.45 · xT 0.03
    • Jack ThomsonCAMxG 0.04 · xT 0.09
    WalsallWalsall
    Form DDWDD
    League ranking xG #5xGA #17xT #7xP/match #15Points #6
    Key players
    • Aaron PressleyFxG 0.57 · xT -0.02
    • Mason Colin HancockLBxG 0.13 · xT 0.20
    • Courtney Alphonso ClarkeRWxG 0.18 · xT 0.21
    Final score
    1 – 1
    The model missed the outcome
    Predicted probabilities: Swindon Town 32% · Draw 27% · Walsall 40%

    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 - WalsallBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,99fair 9,73-28 %
    Miss
    Matchresultat - SwindonBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,63fair 13,99-45 %
    Miss

    Match prediction: Swindon Town – Walsall

    Predicted score matrix

    Walsall →
    Swindon Town →
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–110.2%
    0–27.5%
    0–33.5%
    0–4+1.7%
    1
    1–08.4%
    1–112.8%
    1–28.8%
    1–34.2%
    1–4+2.0%
    2
    2–05.2%
    2–17.3%
    2–25.2%
    2–32.5%
    2–4+1.2%
    3
    3–02.0%
    3–12.9%
    3–22.0%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.8%
    4+–11.1%
    4+–20.8%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.0-08%
    Expected goals
    1,18–1,42
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.19EV+10%
    Over 2,548%
    @1.69

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Walsall or draw (X2)69%
    • Under 3.5 goals74%

    Combined probability

    51%

    Fair odds

    1.97

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

    02 · 3 legs

    Balanced

    • Double chance Walsall or draw (X2)69%
    • Under 2.5 goals52%
    • Andrew Robert Dallas to score24%

    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 score53%
    • Over 2.5 goals48%
    • Aaron John Drinan to score27%
    • Roman Ivan Quintyne Dixon 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 0.58% probability@15.00BetsafeEV+18%reference odds
    • Under 0.58% probability@15.00NordicbetEV+18%reference odds
    • Under 2.552% probability@2.19PinnacleEV+14%reference odds
    Bookmaker1 · Swindon TownX2 · Walsall
    Betsafe2.623.452.42
    LeoVegas2.653.502.40
    Nordicbet2.623.452.42
    Pinnacle2.743.652.44

    Odds updated 17 Oct, 13:38

    Odds movement

    1+3 %
    37 %32 %

    2.65 → 2.74

    X+1 %
    29 %24 %

    3.60 → 3.65

    20 %
    41 %36 %

    2.45 → 2.44

    Over 2,5+2 %
    59 %54 %

    1.65 → 1.69

    Pinnacle · 7 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Swindon Town 2Draw 0Walsall 2
    Goals: 4–7 (⌀ 2,8)

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

    Key facts

    • Walsall are unbeaten in their last 9 league matches.
    xG & xGA per match — 3-game rolling average

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

    Swindon Town
    Walsall
    When goals are scored and conceded — 2026
    Swindon Town (9–14)
    Walsall (12–6)
    Pass networks

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

    Swindon Town
    Daniel Butler: 178 passningar, xT 1ButlerConnor Ripley: 150 passningar, xT 0.32RipleyJack Thomson: 124 passningar, xT 0.36ThomsonStephan Negru: 116 passningar, xT 0.28NegruKaelan Andrew Moore Majekodunmi: 98 passningar, xT -0.09MajekodunmiAnthony Junior Munda: 78 passningar, xT 0.01MundaAaron John Drinan: 68 passningar, xT -0.02DrinanJames Ball: 62 passningar, xT 0.11BallBilly Naylor Kirkman: 58 passningar, xT 0.28KirkmanSamuel Lawrence Inwood: 48 passningar, xT 0.04InwoodMitchell Reece Clark: 42 passningar, xT 0.04Clark
    Walsall
    James Alfred Connolly: 280 passningar, xT 0.34ConnollyDeclan Skura: 246 passningar, xT 0.39SkuraMason Colin Hancock: 238 passningar, xT 0.88HancockSven Michael Sprangler: 177 passningar, xT 0SpranglerIsaac Moore: 170 passningar, xT 0.28MooreElicha Sar-Shalom Ahui: 154 passningar, xT 0.37AhuiJed MacAulay Ward: 147 passningar, xT 0.15WardReece Smith: 95 passningar, xT 0.76SmithRyan David Leak: 92 passningar, xT 0.06LeakLewis Matthew Simper: 81 passningar, xT 0.05SimperAaron Pressley: 68 passningar, xT -0.34Pressley
    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.

    Swindon Town
    Daniel Butler: 178 passningar, xT 1ButlerConnor Ripley: 150 passningar, xT 0.32RipleyJack Thomson: 124 passningar, xT 0.36ThomsonStephan Negru: 116 passningar, xT 0.28NegruKaelan Andrew Moore Majekodunmi: 98 passningar, xT -0.09MajekodunmiAnthony Junior Munda: 78 passningar, xT 0.01MundaAaron John Drinan: 68 passningar, xT -0.02DrinanJames Ball: 62 passningar, xT 0.11BallBilly Naylor Kirkman: 58 passningar, xT 0.28KirkmanSamuel Lawrence Inwood: 48 passningar, xT 0.04InwoodMitchell Reece Clark: 42 passningar, xT 0.04Clark
    Walsall
    James Alfred Connolly: 280 passningar, xT 0.34ConnollyDeclan Skura: 246 passningar, xT 0.39SkuraMason Colin Hancock: 238 passningar, xT 0.88HancockSven Michael Sprangler: 177 passningar, xT 0SpranglerIsaac Moore: 170 passningar, xT 0.28MooreElicha Sar-Shalom Ahui: 154 passningar, xT 0.37AhuiJed MacAulay Ward: 147 passningar, xT 0.15WardReece Smith: 95 passningar, xT 0.76SmithRyan David Leak: 92 passningar, xT 0.06LeakLewis Matthew Simper: 81 passningar, xT 0.05SimperAaron Pressley: 68 passningar, xT -0.34Pressley

    The teams in numbers

    PerformanceSwindon TownWalsall
    Points1115
    xPoints11.712
    xG per match11.7
    xGA per match1.71.4
    xG within 8s of winning the ball0.170.24
    xGA within 8s of losing the ball0.310.26
    Playing styleSwindon TownWalsall
    Build-up efficiency0.320.35
    Field tilt0.410.58
    xT per match0.591
    xTA per match1.10.84
    Won balls, offensive half2722
    Pressing intensity0.220.23
    Pressing efficiency0.350.4
    Pressing efficiency, offensive half0.330.33
    Entries into the box per match1014
    Entries into the box against1313
    Pass completion %0.640.73
    Pass completion % under pressure0.620.69
    Passes per match244360
    Passes against per match314241
    Switches of play per match22.629.5
    Long balls per match3532
    Set piecesSwindon TownWalsall
    xG from free kicks0.010.06
    Corners per match4.45.7
    Corners against per match7.85.6
    xG per corner0.020.05
    xGA per corner against0.020.02
    First touch, offensive corners %0.270.5
    First touch, defensive corners %0.510.65
    OtherSwindon TownWalsall
    Throw-in control0.720.75
    The goalkeepersConnor Ripley (Swindon Town)Jed MacAulay Ward (Walsall)
    Saves4035
    Save %74%85%
    xG prevented58%71%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Swindon Town vs Walsall according to our model?

    The model gives Walsall a 40% win probability. Full 1X2 picture: Swindon Town 32%, draw 27%, Walsall 40%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Swindon Town vs Walsall?

    The model expects 1.18 goals (xG) for Swindon Town and 1.42 for Walsall, 2.59 in total.

    What does the model say about double chance?

    Swindon Town or draw (1X) 60%, Walsall or draw (X2) 68% and no draw (12) 73%.

    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.