EFL League TwoBescot Stadium, Walsall16°3,4 mm24 km/h

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    WalsallWalsallCounter-attacks & crosses
    vs
    RochdaleRochdalePossession control
    The model's lean: 1 · Walsall (48%)Best value by the model: 2 · Rochdale @ 4.65 (+12 %)
    Limited dataThe model has few previous matches with these teams in this league — the forecast therefore rests on thinner data than usual.

    WalsallRochdale · EFL League Two

    1 · Walsall 48%X 28%24% Rochdale · 2

    Analysis: WalsallRochdale

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

    TEXT: Walsall have been a tough nut to crack recently, going unbeaten in their last five league outings. This resilient streak provides a foundation of confidence for the hosts as they prepare to face Rochdale, a side struggling to find form. With the model giving the Saddlers a 48% chance of victory compared to Rochdale's 24%, the home side has a clear edge. While the historical head-to-head record isn't fleshed out here, it's the current form and expected goals that most inform our expectations.

    The numbers paint a cautious picture: Walsall's expected goals (xG) per match stand at an impressive 2.0, reflecting their ability to create opportunities, especially on the counter and via crosses. Rochdale, in contrast, have a paltry 0.78 xG per match, suggesting they may find it challenging to break down the home side's defense. Yet, Rochdale edges slightly on expected goals against (xGA), hinting at their potential to stifle Walsall's attacks at times. The expected goals tally suggests a Walsall win, likely by a narrow margin.

    The most probable scoreline, a 1-1 draw at 11%, aligns closely with the over 2.5 goals probability of 57%, suggesting a moderately open game is more likely than a tight one. The rain predicted at 14.5°C with 8.7 mm could still add some unpredictability, but the model's numbers lean toward goals being scored rather than a stalemate. Walsall's counter-attacking prowess and Rochdale's possession-based approach could produce chances at both ends, supporting the 59% both-teams-to-score probability.

    A 1-0 or 2-1 victory for Walsall, or a 1-1 draw, seem the most plausible outcomes, given the conditions and style matchups.

    WalsallWalsall
    Form WDWDD
    League ranking xG #2xGA #19xT #9xP/match #10Points #5
    Key players
    • Aaron PressleyFxG 0.66 · xT 0.02
    • Reece SmithLWxG 0.28 · xT 0.25
    • Courtney Alphonso ClarkeRWxG 0.24 · xT 0.32
    RochdaleRochdale
    Form LLLWL
    League ranking xG #23xGA #17xT #20xP/match #24Points #22
    Key players
    • Daniel Thomas MossRWxG 0.16 · xT 0.17
    • Luke James HannantRWxG 0.26 · xT 0.01
    • Ryan Henry EastCMxG 0.07 · xT 0.17

    Match prediction: WalsallRochdale

    Predicted score matrix

    Rochdale
    Walsall
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–16.0%
    0–24.0%
    0–31.6%
    0–4+0.7%
    1
    1–08.5%
    1–111.3%
    1–26.8%
    1–32.8%
    1–4+1.2%
    2
    2–07.6%
    2–19.5%
    2–25.9%
    2–32.5%
    2–4+1.0%
    3
    3–04.4%
    3–15.5%
    3–23.4%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.8%
    4+–13.5%
    4+–22.2%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,731,25
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.09
    Over 2,557%
    @1.78EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Walsall to win48%
    • Over 1.5 goals80%

    Combined probability

    40%

    Fair odds

    2.51

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

    02 · 3 legs

    Balanced

    • Walsall to win48%
    • Over 2.5 goals57%
    • Aaron Alex Pressley to score33%

    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 score59%
    • Over 2.5 goals57%
    • Aaron Alex Pressley to score33%
    • Edward Albert Francis 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 · Rochdale24% probability@4.65BetsafeEV+12%reference odds
    • 2 · Rochdale24% probability@4.65BetssonEV+12%reference odds
    • 2 · Rochdale24% probability@4.65NordicbetEV+12%reference odds
    Bookmaker1 · WalsallX2 · Rochdale
    Betsafe1.703.60
    EV+ 12%
    4.65
    Betsson1.703.60
    EV+ 12%
    4.65
    Nordicbet1.703.60
    EV+ 12%
    4.65
    Pinnacle1.72
    EV+ 3%
    3.72
    EV+ 9%
    4.53

    Odds updated 11 Sept, 04:37

    Odds movement

    Market signal

    The market has moved clearly towards a Walsall win since 6 September — the odds have shortened from 2.01 to 1.72 (−14%).

    1-14 %
    55 %45 %

    2.011.72

    X-1 %
    30 %20 %

    3.753.72

    2+36 %
    29 %19 %

    3.324.53

    Over 2,5+1 %
    58 %48 %

    1.711.74

    Pinnacle · 10 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    Key facts

    • Walsall are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Walsall
    Rochdale
    When goals are scored and conceded 2026
    Walsall (84)
    Rochdale (510)
    Pass networks

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

    Walsall
    Mason Colin Hancock: 223 passningar, xT 1.08HancockDeclan Skura: 167 passningar, xT 0.08SkuraJames Alfred Connolly: 165 passningar, xT 0.22ConnollyJed MacAulay Ward: 148 passningar, xT 0.19WardSven Michael Sprangler: 145 passningar, xT 0SpranglerElicha Sar-Shalom Ahui: 122 passningar, xT 0.19AhuiIsaac Moore: 97 passningar, xT 0.08MooreAaron Pressley: 83 passningar, xT -0.09PressleyReece Smith: 82 passningar, xT 1.04SmithCharles Crew: 67 passningar, xT 0.04CrewCourtney Alphonso Clarke: 63 passningar, xT 0.9Clarke
    Rochdale
    Kaiden Carlton Anthony Wilson: 236 passningar, xT 0.25WilsonDaniel Thomas Moss: 189 passningar, xT 0.61MossEthan Reid Ebanks-Landell: 184 passningar, xT 0.17Ebanks-LandellNils Ramming: 180 passningar, xT 0.25RammingSam Sherring: 165 passningar, xT 0.31SherringEdward Albert Francis: 155 passningar, xT 0FrancisOlutobi Adebayo-Rowling: 114 passningar, xT 0.03Adebayo-RowlingBabajide Ezekiel Adeeko: 107 passningar, xT -0.06AdeekoKane Taylor: 84 passningar, xT 0.29TaylorHarvey James Gilmour: 81 passningar, xT 0.04GilmourRyan Henry East: 77 passningar, xT 0.4East
    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.

    Walsall
    Mason Colin Hancock: 223 passningar, xT 1.08HancockDeclan Skura: 167 passningar, xT 0.08SkuraJames Alfred Connolly: 165 passningar, xT 0.22ConnollyJed MacAulay Ward: 148 passningar, xT 0.19WardSven Michael Sprangler: 145 passningar, xT 0SpranglerElicha Sar-Shalom Ahui: 122 passningar, xT 0.19AhuiIsaac Moore: 97 passningar, xT 0.08MooreAaron Pressley: 83 passningar, xT -0.09PressleyReece Smith: 82 passningar, xT 1.04SmithCharles Crew: 67 passningar, xT 0.04CrewCourtney Alphonso Clarke: 63 passningar, xT 0.9Clarke
    Rochdale
    Kaiden Carlton Anthony Wilson: 236 passningar, xT 0.25WilsonDaniel Thomas Moss: 189 passningar, xT 0.61MossEthan Reid Ebanks-Landell: 184 passningar, xT 0.17Ebanks-LandellNils Ramming: 180 passningar, xT 0.25RammingSam Sherring: 165 passningar, xT 0.31SherringEdward Albert Francis: 155 passningar, xT 0FrancisOlutobi Adebayo-Rowling: 114 passningar, xT 0.03Adebayo-RowlingBabajide Ezekiel Adeeko: 107 passningar, xT -0.06AdeekoKane Taylor: 84 passningar, xT 0.29TaylorHarvey James Gilmour: 81 passningar, xT 0.04GilmourRyan Henry East: 77 passningar, xT 0.4East

    The teams in numbers

    PerformanceWalsallRochdale
    Points93
    xPoints6.84.3
    xG per match20.78
    xGA per match1.61.5
    xG within 8s of winning the ball0.260.07
    xGA within 8s of losing the ball0.290.25
    Playing styleWalsallRochdale
    Build-up efficiency0.360.3
    Field tilt0.520.47
    xT per match0.990.64
    xTA per match10.86
    Won balls, offensive half2317
    Pressing intensity0.230.21
    Pressing efficiency0.380.3
    Pressing efficiency, offensive half0.30.23
    Entries into the box per match117
    Entries into the box against1513
    Pass completion %0.70.77
    Pass completion % under pressure0.660.72
    Passes per match314379
    Passes against per match254252
    Switches of play per match26.922.3
    Long balls per match3033
    Set piecesWalsallRochdale
    xG from free kicks0.090
    Corners per match6.24.3
    Corners against per match5.95.3
    xG per corner0.050.02
    xGA per corner against0.010.04
    First touch, offensive corners %0.440.29
    First touch, defensive corners %0.70.62
    OtherWalsallRochdale
    Throw-in control0.720.75
    The goalkeepersJed MacAulay Ward (Walsall)Nils Ramming (Rochdale)
    Saves1714
    Save %81%58%
    xG prevented57%31%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Walsall vs Rochdale according to our model?

    The model gives Walsall a 48% win probability. Full 1X2 picture: Walsall 48%, draw 28%, Rochdale 24%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.