Premier LeagueMKM Stadium, Hull18°0,1 mm13 km/h

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    Hull CityHull CityLow block & direct
    vs
    Aston VillaAston VillaLow block & direct
    The model's lean: 2 · Aston Villa (55%)

    Hull CityAston Villa · Premier League

    1 · Hull City 22%X 23%55% Aston Villa · 2

    Analysis: Hull CityAston Villa

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT:

    Two teams with a penchant for direct play clash as Hull City host Aston Villa, with both sides favoring a low defensive line but looking to strike quickly. Despite Villa's winless start to the season, the odds lean heavily in their favor, suggesting a 55% likelihood of them securing their first three points. Hull, however, have shown more grit, collecting three points and outshining Villa in terms of expected goals and expected points.

    The numbers paint a clear picture of Hull's slight superiority in recent performances. They've managed to produce an average of 1.1 expected goals per match, while Villa have struggled significantly, averaging just 0.38. This stark contrast highlights a potential advantage for the hosts, particularly if they can capitalize on Villa's defensive vulnerabilities, with the visitors conceding 3.4 xGA per game. Hull's defense isn't impervious at 1.8 xGA, but they seem better equipped to withstand pressure than their counterparts.

    Despite this, the model still favors Villa, pointing to a probable scoreline of 1-1 or 0-1. This suggests a tightly contested affair where both sides may find the net, as indicated by a 53% probability for both teams to score. The over/under 2.5 goals market is finely poised at 50%, hinting at a match that could easily swing in either direction.

    For bettors, an intriguing opportunity lies with Hull City, given the statistical edge in points, xPoints, and underlying performance metrics. While Villa hold the higher win probability according to the model, Hull's recent form and their ability to create chances against a porous Villa defense suggest this could be a shrewd play. If Villa are to break their duck, they'll need to overcome not only Hull's resilience but their own inefficiencies in front of goal.

    Hull CityHull City
    Form W
    League ranking xG #13xGA #15xT #13xP/match #8Points #5
    Key players
    • Oliver Robert McBurnieFxG 0.10 · xT 0.16
    • Mohamed BelloumiRWxG 0.06 · xT 0.00
    • Regan SlaterCAMxG 0.00 · xT -0.01
    Aston VillaAston Villa
    Form LDWWL
    League ranking xG #19xGA #18xT #20xP/match #19Points #20
    Key players
    • Joao GomesFxG 0.00 · xT -0.02
    • Matty CashRBxG 0.00 · xT 0.03
    • Boubacar KamaraFxG 0.00 · xT -0.02

    Match prediction: Hull CityAston Villa

    Predicted score matrix

    Aston Villa
    Hull City
    0
    1
    2
    3
    4+
    0
    0–07.3%
    0–110.4%
    0–28.3%
    0–34.3%
    0–4+2.3%
    1
    1–07.5%
    1–112.4%
    1–29.3%
    1–34.8%
    1–4+2.6%
    2
    2–04.4%
    2–16.7%
    2–25.2%
    2–32.7%
    2–4+1.5%
    3
    3–01.6%
    3–12.5%
    3–21.9%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.6%
    4+–10.9%
    4+–20.7%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.0-28%
    5. 5.1-07%
    Expected goals
    1,121,54
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.98
    Over 2,550%
    @1.88

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Aston Villa to win55%
    • Under 3.5 goals72%

    Combined probability

    32%

    Fair odds

    3.09

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

    02 · 3 legs

    Balanced

    • Aston Villa to win55%
    • Under 2.5 goals50%
    • Oliver George Arthur Watkins to score26%

    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 goals50%
    • Oliver George Arthur Watkins to score26%
    • Matt Davidson Rider Crooks 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+).

    • 2 · Aston Villa55% probability@1.85NordicbetEV+2%reference odds
    • 2 · Aston Villa55% probability@1.84BetssonEV+1%reference odds
    • 2 · Aston Villa55% probability@1.83PinnacleEV+1%reference odds
    Bookmaker1 · Hull CityX2 · Aston Villa
    Betsafe4.353.55
    EV+ 0%
    1.82
    Betsson4.363.57
    EV+ 1%
    1.84
    Nordicbet4.353.55
    EV+ 2%
    1.85
    Pinnacle4.313.80
    EV+ 1%
    1.83

    Odds updated 31 Aug, 05:14

    Odds movement

    1+9 %
    26 %21 %

    3.954.31

    X+5 %
    28 %23 %

    3.633.80

    2-3 %
    54 %49 %

    1.891.83

    Over 2,50 %
    53 %48 %

    1.881.88

    Pinnacle · 4 recorded price levels · 28/08/2026 → 31/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Aston Villa
    When goals are scored and conceded 2026
    Hull City (20)
    Aston Villa (04)
    Pass networks

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

    Hull City
    John Egan: 25 passningar, xT 0EganKonstantinos Tzolakis: 24 passningar, xT 0.06TzolakisRegan Slater: 20 passningar, xT 0SlaterNobel Mendy: 17 passningar, xT 0.02MendyRyan Giles: 17 passningar, xT 0.31GilesLewie Coyle: 15 passningar, xT 0.03CoyleSemi Ajayi: 13 passningar, xT 0.02AjayiMatt Crooks: 12 passningar, xT 0CrooksMohamed Belloumi: 11 passningar, xT 0BelloumiOli McBurnie: 9 passningar, xT 0.01McBurnieElliot Stroud: 6 passningar, xT 0.14Stroud
    Aston Villa
    Matty Cash: 26 passningar, xT 0.03CashVictor Lindelöf: 25 passningar, xT 0LindelöfRoss Barkley: 19 passningar, xT -0.01BarkleyBoubacar Kamara: 19 passningar, xT -0.03KamaraPau Torres: 19 passningar, xT 0.01TorresEmiliano Buendia: 16 passningar, xT -0.05BuendiaMarco Bizot: 16 passningar, xT 0.03BizotJoao Gomes: 14 passningar, xT -0.02GomesJohn McGinn: 12 passningar, xT 0.02McGinnIan Maatsen: 6 passningar, xT 0MaatsenGeorge Hemmings: 6 passningar, xT 0.01Hemmings
    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.

    Hull City
    John Egan: 25 passningar, xT 0EganKonstantinos Tzolakis: 24 passningar, xT 0.06TzolakisRegan Slater: 20 passningar, xT 0SlaterNobel Mendy: 17 passningar, xT 0.02MendyRyan Giles: 17 passningar, xT 0.31GilesLewie Coyle: 15 passningar, xT 0.03CoyleSemi Ajayi: 13 passningar, xT 0.02AjayiMatt Crooks: 12 passningar, xT 0CrooksMohamed Belloumi: 11 passningar, xT 0BelloumiOli McBurnie: 9 passningar, xT 0.01McBurnieElliot Stroud: 6 passningar, xT 0.14Stroud
    Aston Villa
    Matty Cash: 26 passningar, xT 0.03CashVictor Lindelöf: 25 passningar, xT 0LindelöfRoss Barkley: 19 passningar, xT -0.01BarkleyBoubacar Kamara: 19 passningar, xT -0.03KamaraPau Torres: 19 passningar, xT 0.01TorresEmiliano Buendia: 16 passningar, xT -0.05BuendiaMarco Bizot: 16 passningar, xT 0.03BizotJoao Gomes: 14 passningar, xT -0.02GomesJohn McGinn: 12 passningar, xT 0.02McGinnIan Maatsen: 6 passningar, xT 0MaatsenGeorge Hemmings: 6 passningar, xT 0.01Hemmings

    The teams in numbers

    PerformanceHull CityAston Villa
    Points30
    xPoints1.70.3
    xG per match1.10.38
    xGA per match1.83.4
    xG within 8s of winning the ball00
    xGA within 8s of losing the ball0.170.68
    Playing styleHull CityAston Villa
    Build-up efficiency0.290.3
    Field tilt0.110.17
    xT per match0.76-0.02
    xTA per match2.31.4
    Won balls, offensive half1615
    Pressing intensity0.260.23
    Pressing efficiency0.210.18
    Pressing efficiency, offensive half0.190.1
    Entries into the box per match82
    Entries into the box against2512
    Pass completion %0.640.68
    Pass completion % under pressure0.720.67
    Passes per match181178
    Passes against per match590586
    Switches of play per match12.912.9
    Long balls per match1617
    Set piecesHull CityAston Villa
    xG from free kicks0.320.03
    Corners per match0.992
    Corners against per match5.95
    xG per corner0.660.05
    xGA per corner against0.040.03
    First touch, offensive corners %11
    First touch, defensive corners %0.330.4
    OtherHull CityAston Villa
    Throw-in control0.880.65
    The goalkeepersKonstantinos Tzolakis (Hull City)Marco Bizot (Aston Villa)
    Saves54
    Save %100%57%
    xG prevented100%42%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Hull City vs Aston Villa according to our model?

    The model gives Aston Villa a 55% win probability. Full 1X2 picture: Hull City 22%, draw 23%, Aston Villa 55%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.