EFL League TwoSt James Park, Exeter17°10 km/h

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    Exeter CityExeter CityLow block & direct
    00
    WalsallWalsallCounter-attacks & crosses
    The model's lean: 2 · Walsall (36%)Best value by the model: Under 0,5 @ 12.00 (+20 %)

    Exeter CityWalsall · EFL League Two

    1 · Exeter City 36%X 28%36% Walsall · 2

    Analysis: Exeter CityWalsall

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Exeter City's defensive vulnerabilities and Walsall's attacking prowess set the stage for a match with intriguing dynamics. The hosts, with their low defence and direct style, have struggled to keep opponents at bay, allowing an xGA of 1.3 per match. In contrast, the visitors thrive on counterattacks and crosses, boasting a robust xG of 2.3 per game, a testament to their offensive intent.

    Both teams enter the game with identical win probabilities of 36%, but the overall numbers hint at a slight tilt in Walsall's favor. They have accumulated more points than the hosts, 8 to 4, although the xPoints suggest Exeter has been somewhat unlucky, with a slight edge of 6.5 to Walsall's 6.3. This tension between actual points and expected outcomes adds layers to the contest.

    The most likely scoreline, 1-1, sits at 14%, reflecting balanced expectations. However, the model also assigns an 11% likelihood to both 0-1 and 1-0 results, underlining the razor-thin margins in play. The 48% probability for both teams to score aligns with the tactical match-up, yet the over 2.5 goals scenario lingers at 42%, implying a more cautious affair.

    Intriguingly, there's notable value in a goalless draw, with Betsafe, Betsson, and Nordicbet all offering odds of 12.0 for under 0.5 goals. The model rates this outcome at 10%, delivering a 20% edge for bettors willing to anticipate a match that defies its attacking scripts.

    In the end, while Walsall's attacking numbers suggest potential fireworks, the combined forces of Exeter's direct play and home advantage could anchor the game into a tactical stalemate. A 1-1 draw feels like the most pragmatic call, with the under 0.5 goals bet standing out as a high-value option for those eyeing an unlikely scoreless encounter.

    Exeter CityExeter City
    Form LWLD
    League ranking xG #12xGA #10xT #14xP/match #5Points #15
    Key players
    • Jayden WarehamFxG 0.90 · xT 0.00
    • Edward George Martin JamesRWxG 0.13 · xT 0.06
    • Joshua Luke GordonFxG 0.35 · xT -0.01
    WalsallWalsall
    Form LWDWD
    League ranking xG #2xGA #21xT #5xP/match #7Points #3
    Key players
    • Aaron PressleyFxG 0.82 · xT 0.05
    • Reece SmithLWxG 0.35 · xT 0.28
    • Courtney Alphonso ClarkeLWxG 0.32 · xT 0.42
    Final score
    00
    The model missed the outcome
    Predicted probabilities: Exeter City 36% · Draw 28% · Walsall 36%

    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 8,74fair 14,54-40 %
    Miss
    Matchresultat - ExeterBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,84fair 14,61-46 %
    Miss

    Match prediction: Exeter CityWalsall

    Predicted score matrix

    Walsall
    Exeter City
    0
    1
    2
    3
    4+
    0
    0–010.0%
    0–110.9%
    0–26.6%
    0–32.6%
    0–4+1.0%
    1
    1–010.8%
    1–113.6%
    1–27.7%
    1–33.0%
    1–4+1.1%
    2
    2–06.6%
    2–17.7%
    2–24.5%
    2–31.8%
    2–4+0.7%
    3
    3–02.6%
    3–13.0%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–01.0%
    4+–11.1%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-114%
    2. 2.0-111%
    3. 3.1-011%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,171,17
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,3
    Under 2,558%
    @2.04EV+11%
    Over 2,542%
    @1.95

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Walsall or draw (X2)64%
    • Under 3.5 goals79%

    Combined probability

    51%

    Fair odds

    1.95

    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)64%
    • Under 2.5 goals58%
    • Daniel Malanga Kanu to score19%

    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 score48%
    • Over 2.5 goals42%
    • Jayden Darren George Wareham to score27%
    • Ethan Craig Brierley to be booked23%

    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@12.00BetsafeEV+20%reference odds
    • Under 0.510% probability@12.00BetssonEV+20%reference odds
    • Under 0.510% probability@12.00NordicbetEV+20%reference odds
    Bookmaker1 · Exeter CityX2 · Walsall
    Bet3652.503.302.60
    Betfair Exchange1.271.891.90
    Betsafe2.453.302.72
    Betsson2.453.302.72
    Nordicbet2.453.302.72
    Pinnacle2.553.452.73

    Odds updated 5 Sept, 10:32

    Odds movement

    1+4 %
    40 %35 %

    2.462.55

    X+2 %
    30 %25 %

    3.383.45

    2-1 %
    37 %32 %

    2.762.73

    Over 2,5+1 %
    56 %51 %

    1.781.80

    Pinnacle · 5 recorded price levels · 02/09/2026 → 05/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Exeter City
    Walsall
    When goals are scored and conceded 2026
    Exeter City (44)
    Walsall (84)
    Pass networks

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

    Exeter City
    Jack Joseph Fitzwater: 99 passningar, xT 0.16FitzwaterCharlie James Cummins: 93 passningar, xT 0.25CumminsEdward George Martin James: 75 passningar, xT 0.23JamesJack Thomas Bycroft: 70 passningar, xT 0.22BycroftReece Cole: 63 passningar, xT 0.03ColeGwion Dafydd Rhys Edwards: 60 passningar, xT 0.82EdwardsVincent Harper: 52 passningar, xT 0.09HarperLuca Woodhouse: 52 passningar, xT 0.08WoodhouseEthan Sutherland: 49 passningar, xT 0.31SutherlandJake Billy Doyle-Hayes: 48 passningar, xT 0.04Doyle-HayesLakyle Samuel: 45 passningar, xT 0Samuel
    Walsall
    Mason Colin Hancock: 176 passningar, xT 0.85HancockDeclan Skura: 167 passningar, xT 0.08SkuraSven Michael Sprangler: 142 passningar, xT 0SpranglerJames Alfred Connolly: 131 passningar, xT 0.15ConnollyJed MacAulay Ward: 119 passningar, xT 0.16WardElicha Sar-Shalom Ahui: 95 passningar, xT 0.15AhuiIsaac Moore: 67 passningar, xT 0.06MooreAaron Pressley: 65 passningar, xT 0.02PressleyReece Smith: 62 passningar, xT 0.9SmithHarrison John Burke: 49 passningar, xT 0.1BurkeLewis Matthew Simper: 47 passningar, xT 0.59Simper
    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.

    Exeter City
    Jack Joseph Fitzwater: 99 passningar, xT 0.16FitzwaterCharlie James Cummins: 93 passningar, xT 0.25CumminsEdward George Martin James: 75 passningar, xT 0.23JamesJack Thomas Bycroft: 70 passningar, xT 0.22BycroftReece Cole: 63 passningar, xT 0.03ColeGwion Dafydd Rhys Edwards: 60 passningar, xT 0.82EdwardsVincent Harper: 52 passningar, xT 0.09HarperLuca Woodhouse: 52 passningar, xT 0.08WoodhouseEthan Sutherland: 49 passningar, xT 0.31SutherlandJake Billy Doyle-Hayes: 48 passningar, xT 0.04Doyle-HayesLakyle Samuel: 45 passningar, xT 0Samuel
    Walsall
    Mason Colin Hancock: 176 passningar, xT 0.85HancockDeclan Skura: 167 passningar, xT 0.08SkuraSven Michael Sprangler: 142 passningar, xT 0SpranglerJames Alfred Connolly: 131 passningar, xT 0.15ConnollyJed MacAulay Ward: 119 passningar, xT 0.16WardElicha Sar-Shalom Ahui: 95 passningar, xT 0.15AhuiIsaac Moore: 67 passningar, xT 0.06MooreAaron Pressley: 65 passningar, xT 0.02PressleyReece Smith: 62 passningar, xT 0.9SmithHarrison John Burke: 49 passningar, xT 0.1BurkeLewis Matthew Simper: 47 passningar, xT 0.59Simper

    The teams in numbers

    PerformanceExeter CityWalsall
    Points48
    xPoints6.56.3
    xG per match1.42.3
    xGA per match1.31.7
    xG within 8s of winning the ball0.270.32
    xGA within 8s of losing the ball0.260.33
    Playing styleExeter CityWalsall
    Build-up efficiency0.310.36
    Field tilt0.350.51
    xT per match0.81.1
    xTA per match0.911.1
    Won balls, offensive half3124
    Pressing intensity0.230.23
    Pressing efficiency0.350.38
    Pressing efficiency, offensive half0.270.33
    Entries into the box per match1012
    Entries into the box against1515
    Pass completion %0.60.71
    Pass completion % under pressure0.60.67
    Passes per match207315
    Passes against per match347262
    Switches of play per match13.126.4
    Long balls per match3231
    Set piecesExeter CityWalsall
    xG from free kicks0.090.11
    Corners per match4.66.1
    Corners against per match4.16.3
    xG per corner0.030.06
    xGA per corner against0.040.01
    First touch, offensive corners %0.50.48
    First touch, defensive corners %0.380.69
    OtherExeter CityWalsall
    Throw-in control0.70.74
    The goalkeepersJack Thomas Bycroft (Exeter City)Jed MacAulay Ward (Walsall)
    Saves1414
    Save %78%78%
    xG prevented59%53%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Exeter City vs Walsall according to our model?

    The model gives Walsall a 36% win probability. Full 1X2 picture: Exeter City 36%, draw 28%, Walsall 36%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 42% and under at 58%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.