EFL ChampionshipMolineux, Wolverhampton10°17 km/h

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    WolverhamptonWolverhamptonPossession control
    vs
    Cardiff CityCardiff CityPossession & high press
    The model's lean: 1 · Wolverhampton (51%)Best value by the model: 2 · Cardiff City @ 4.79 (+19 %)

    Wolverhampton vs Cardiff City · EFL Championship

    1 · Wolverhampton 51%X 24%25% Cardiff City · 2

    Prediction summary

    BetBuilders AI model prediction for Wolverhampton vs Cardiff City (EFL Championship, Saturday, 31 October 2026): Wolverhampton win 51%, draw 24%, Cardiff City win 25%. Expected goals (xG): Wolverhampton 1.86, Cardiff City 1.11. Most likely score: 1-1 (11%). Over 2.5 goals 57%, both teams to score 57%. Double chance: Wolverhampton or draw 75%, Cardiff City or draw 49%. Prediction updated Friday, 23 October 2026.

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    Analysis: Wolverhampton – Cardiff City

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

    With Wolverhampton holding the edge in both points and expected points against a Cardiff side striving to gain traction, the upcoming fixture pivots on the hosts’ defensive control. Wolves’ ability to dictate play through possession aligns with their defensive prowess, conceding just 1.0 expected goals against (xGA) per match. This stability in the back will be crucial against Cardiff's attacking approach, which yields 1.9 expected goals (xG) per game. However, the visitors’ high press could disrupt Wolves’ rhythm.

    The model favors Wolverhampton with a 51% chance of victory, and although both teams are capable of finding the net — a likelihood of 57% for both teams to score suggests as much — the Wolves' stronger defensive numbers hint at a possible edge. The most probable scorelines, 1-1 and 2-1, reflect the model's lean towards a controlled, yet competitive encounter.

    Cardiff’s chances aren't negligible — a 25% chance of taking all three points — but their more porous defense, allowing an average of 1.5 xGA per match, could be their undoing against a Wolves side keen to capitalize on home advantage and the weather conditions. The expected rain could dampen attacking fluidity, particularly for a side like Cardiff that relies on high-energy play.

    Given these dynamics, the likeliest outcome appears to be a Wolverhampton win, possibly by a margin of 2-1, with the potential for goals — the over 2.5 goals market sits at 57%, suggesting there might be value in considering this option, particularly if paired with Wolves to win. Bookmakers seem to have caught onto this, but disciplined bettors may find an edge in backing Wolverhampton at odds reflecting their 51% win probability, as calculated by the model.

    WolverhamptonWolverhampton
    Form WLLWD
    League ranking xG #7xGA #1xT #6xP/match #3Points #8
    Key players
    • Toti GomesCBxG 0.02 · xT 0.06
    • Nasser DjigaCBxG 0.10 · xT 0.07
    • Hugo BuenoLBxG 0.02 · xT 0.15
    Cardiff CityCardiff City
    Form LWLWD
    League ranking xG #3xGA #13xT #1xP/match #15Points #19
    Key players
    • Joel Matthew BaganLWBxG 0.04 · xT 0.24
    • Alexander Sean Pablo RobertsonCMxG 0.07 · xT 0.08
    • Yousef SalechFxG 0.57 · xT -0.04

    Match prediction: Wolverhampton – Cardiff City

    Predicted score matrix

    Cardiff City →
    Wolverhampton →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–15.4%
    0–23.1%
    0–31.2%
    0–4+0.4%
    1
    1–09.2%
    1–110.9%
    1–25.9%
    1–32.2%
    1–4+0.8%
    2
    2–08.9%
    2–19.9%
    2–25.5%
    2–32.0%
    2–4+0.7%
    3
    3–05.5%
    3–16.1%
    3–23.4%
    3–31.3%
    3–4+0.4%
    4+
    4+–03.9%
    4+–14.4%
    4+–22.4%
    4+–30.9%
    4+–4+0.3%
    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. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,86–1,11
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    –
    Over 2,557%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Wolverhampton to win51%
    • Over 1.5 goals80%

    Combined probability

    45%

    Fair odds

    2.20

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

    02 · 3 legs

    Balanced

    • Wolverhampton to win51%
    • Over 2.5 goals57%
    • Adam James Armstrong 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 score57%
    • Over 2.5 goals57%
    • Yousef Salech to score24%
    • André Trindade da Costa Neto 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+).

    • 2 · Cardiff City25% probability@4.79PinnacleEV+19%reference odds
    • Under 3.565% probability@1.69PinnacleEV+11%reference odds
    • X · Draw24% probability@4.30PinnacleEV+4%reference odds
    Bookmaker1 · WolverhamptonX2 · Cardiff City
    Pinnacle1.62
    EV+ 4%
    4.30
    EV+ 19%
    4.79

    Odds updated 25 Oct, 05:59

    Odds movement

    1+1 %
    61 %56 %

    1.60 → 1.62

    X+1 %
    24 %19 %

    4.24 → 4.30

    2+2 %
    22 %17 %

    4.71 → 4.79

    Pinnacle · 2 recorded price levels · 24/10/2026 → 25/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Wolverhampton
    Cardiff City
    When goals are scored and conceded — 2026
    Wolverhampton (19–16)
    Cardiff City (18–17)
    Pass networks

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

    Wolverhampton
    Nasser Djiga: 335 passningar, xT 0.46DjigaAndré: 192 passningar, xT 0.17AndréToti Gomes: 184 passningar, xT 0.23GomesKieran John Trippier: 170 passningar, xT 1.24TrippierHugo Bueno: 162 passningar, xT 0.22BuenoFer López: 158 passningar, xT -0.05LópezLadislav Krejci: 135 passningar, xT 0.08KrejciJosé Sá: 102 passningar, xT 0.02SáMateus Mané: 77 passningar, xT 0.66ManéJackson Tchatchoua: 70 passningar, xT 0.06TchatchouaJean-Ricner Bellegarde: 65 passningar, xT 0.14Bellegarde
    Cardiff City
    Alexander Sean Pablo Robertson: 275 passningar, xT 0.34RobertsonGabriel Jeremiah Adedayo Osho: 261 passningar, xT 0.41OshoNathan Wallace Newman Trott: 212 passningar, xT 0.23TrottJoel Matthew Bagan: 202 passningar, xT 1.17BaganPerry Tian Hee Ng: 170 passningar, xT 0.19NgKrystian Bielik: 167 passningar, xT 0.33BielikJoel Colwill: 106 passningar, xT -0.01ColwillOllie Anthony Tanner: 92 passningar, xT 1.26TannerDylan Lawlor: 85 passningar, xT 0.11LawlorChristopher Anthony Willock: 78 passningar, xT 0.94WillockDavid Turnbull: 76 passningar, xT 0.01Turnbull
    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.

    Wolverhampton
    Nasser Djiga: 335 passningar, xT 0.46DjigaAndré: 192 passningar, xT 0.17AndréToti Gomes: 184 passningar, xT 0.23GomesKieran John Trippier: 170 passningar, xT 1.24TrippierHugo Bueno: 162 passningar, xT 0.22BuenoFer López: 158 passningar, xT -0.05LópezLadislav Krejci: 135 passningar, xT 0.08KrejciJosé Sá: 102 passningar, xT 0.02SáMateus Mané: 77 passningar, xT 0.66ManéJackson Tchatchoua: 70 passningar, xT 0.06TchatchouaJean-Ricner Bellegarde: 65 passningar, xT 0.14Bellegarde
    Cardiff City
    Alexander Sean Pablo Robertson: 275 passningar, xT 0.34RobertsonGabriel Jeremiah Adedayo Osho: 261 passningar, xT 0.41OshoNathan Wallace Newman Trott: 212 passningar, xT 0.23TrottJoel Matthew Bagan: 202 passningar, xT 1.17BaganPerry Tian Hee Ng: 170 passningar, xT 0.19NgKrystian Bielik: 167 passningar, xT 0.33BielikJoel Colwill: 106 passningar, xT -0.01ColwillOllie Anthony Tanner: 92 passningar, xT 1.26TannerDylan Lawlor: 85 passningar, xT 0.11LawlorChristopher Anthony Willock: 78 passningar, xT 0.94WillockDavid Turnbull: 76 passningar, xT 0.01Turnbull

    The teams in numbers

    PerformanceWolverhamptonCardiff City
    Points1811
    xPoints18.514.5
    xG per match1.61.9
    xGA per match11.5
    xG within 8s of winning the ball0.30.27
    xGA within 8s of losing the ball0.210.3
    Playing styleWolverhamptonCardiff City
    Build-up efficiency0.290.34
    Field tilt0.510.65
    xT per match1.11.3
    xTA per match0.790.71
    Won balls, offensive half2425
    Pressing intensity0.220.23
    Pressing efficiency0.290.32
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1315
    Entries into the box against1111
    Pass completion %0.790.78
    Pass completion % under pressure0.720.76
    Passes per match392429
    Passes against per match315240
    Switches of play per match30.242.2
    Long balls per match2942
    Set piecesWolverhamptonCardiff City
    xG from free kicks0.070.02
    Corners per match6.57.2
    Corners against per match45.2
    xG per corner0.040.05
    xGA per corner against0.050.03
    First touch, offensive corners %0.410.19
    First touch, defensive corners %0.550.59
    OtherWolverhamptonCardiff City
    Throw-in control0.740.73
    The goalkeepersJosé Sá (Wolverhampton)Nathan Wallace Newman Trott (Cardiff City)
    Saves2444
    Save %65%72%
    xG prevented38%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wolverhampton vs Cardiff City according to our model?

    The model gives Wolverhampton a 51% win probability. Full 1X2 picture: Wolverhampton 51%, draw 24%, Cardiff City 25%.

    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 57% according to the model.

    How many goals are expected in Wolverhampton vs Cardiff City?

    The model expects 1.86 goals (xG) for Wolverhampton and 1.11 for Cardiff City, 2.97 in total.

    What does the model say about double chance?

    Wolverhampton or draw (1X) 75%, Cardiff City or draw (X2) 49% and no draw (12) 76%.

    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.