Premier LeagueCraven Cottage, London11°21 km/h

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    FulhamFulhamPossession control
    vs
    Hull CityHull CityLow block & direct
    The model's lean: 1 · Fulham (61%)

    Fulham vs Hull City · Premier League

    1 · Fulham 61%X 22%17% Hull City · 2

    Prediction summary

    BetBuilders AI model prediction for Fulham vs Hull City (Premier League, Saturday, 17 October 2026): Fulham win 61%, draw 22%, Hull City win 17%. Expected goals (xG): Fulham 1.85, Hull City 0.91. Most likely score: 1-0 (11%). Over 2.5 goals 52%, both teams to score 51%. Double chance: Fulham or draw 83%, Hull City or draw 39%. Prediction updated Friday, 9 October 2026.

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    Analysis: Fulham – Hull City

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT: Fulham enters the clash with Hull City as the statistical favorite, boasting a 61% win probability according to the model. This confidence contrasts sharply with their current points tally, where Hull City holds an 8 to 2 advantage. However, when assessing expected goals (xG) and expected points (xPoints), Fulham shows hidden strength, closely matching Hull City in xPoints and outperforming them in xG. This suggests that their recent struggles might not reflect their underlying performance.

    Fulham's style of possession control is set against Hull City's low-block and direct counterattacks. This contrast could dictate the match’s tempo, with Fulham likely to dominate the ball. The expected goals for this match, 1.85 for Fulham versus 0.91 for Hull, imply that Fulham will create more and higher-quality chances. Yet, with an xGA difference of only 0.1 per match in the season stats, both sides exhibit similar defensive resilience, adding a layer of uncertainty to the goal market.

    The probabilities suggest tight scorelines, with 1-0, 1-1, and 2-0 each at 11%. The model hints at Hull City's slight defensive edge in xGA, yet still indicates a likely narrow win for the home team. The over/under 2.5 goals market teeters at 52% for the over, suggesting a balanced but slight lean toward a lower-scoring affair. Meanwhile, both teams to score stands similarly poised at 51%, reflecting the potential for a cagey encounter with limited scoring.

    The model's numbers are more reliable indicators of potential outcomes than recent points form.

    For bettors, Fulham's victory at odds of 1.667 with LeoVegas presents a 2% expected value edge. Given their demonstrated performance metrics and the model's confidence, this bet aligns with the statistical lean, making it the sharpest angle in the matchup.

    FulhamFulham
    Form LLLDD
    League ranking xG #9xGA #9xT #7xP/match #11Points #19
    Key players
    • Joachim AndersenCBxG 0.00 · xT 0.06
    • Josh KingRWxG 0.25 · xT 0.03
    • Antonee RobinsonLWBxG 0.06 · xT 0.09
    Hull CityHull City
    Form WWDDL
    League ranking xG #15xGA #8xT #18xP/match #10Points #8
    Key players
    • Mohamed BelloumiRWxG 0.15 · xT 0.03
    • Oli McBurnieFxG 0.26 · xT 0.03
    • Regan SlaterCAMxG 0.04 · xT 0.00

    Match prediction: Fulham – Hull City

    Predicted score matrix

    Hull City →
    Fulham →
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–15.4%
    0–22.6%
    0–30.8%
    0–4+0.2%
    1
    1–011.3%
    1–110.9%
    1–24.9%
    1–31.5%
    1–4+0.4%
    2
    2–010.8%
    2–19.9%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–06.7%
    3–16.1%
    3–22.8%
    3–30.9%
    3–4+0.2%
    4+
    4+–04.7%
    4+–14.3%
    4+–22.0%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-011%
    2. 2.1-111%
    3. 3.2-011%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    1,85–0,91
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @2.11EV+1%
    Over 2,552%
    @1.76

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Fulham to win61%
    • Over 1.5 goals77%

    Combined probability

    48%

    Fair odds

    2.09

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

    02 · 3 legs

    Balanced

    • Fulham to win61%
    • Over 2.5 goals52%
    • Rodrigo Muniz Carvalho to score34%

    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 score51%
    • Over 2.5 goals52%
    • Rodrigo Muniz Carvalho to score34%
    • Matt Davidson Rider Crooks 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+).

    • 1 · Fulham61% probability@1.67LeoVegasEV+2%reference odds
    • 1 · Fulham61% probability@1.67PinnacleEV+2%reference odds
    • 1 · Fulham61% probability@1.65BetsafeEV+1%reference odds
    Bookmaker1 · FulhamX2 · Hull City
    Betsafe
    EV+ 1%
    1.65
    3.905.10
    LeoVegas
    EV+ 2%
    1.67
    4.004.70
    Nordicbet
    EV+ 1%
    1.65
    3.955.15
    Pinnacle
    EV+ 2%
    1.67
    3.984.83

    Odds updated 10 Oct, 18:38

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Fulham
    Hull City
    When goals are scored and conceded — 2026
    Fulham (5–8)
    Hull City (6–4)
    Pass networks

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

    Fulham
    Calvin Bassey: 307 passningar, xT 0.49BasseyAlex Iwobi: 261 passningar, xT 0.73IwobiSander Berge: 216 passningar, xT 0.07BergeTimothy Castagne: 198 passningar, xT 0.39CastagneAntonee Robinson: 196 passningar, xT 0.44RobinsonBernd Leno: 173 passningar, xT -0.04LenoShea Charles: 170 passningar, xT 0.07CharlesJoachim Andersen: 166 passningar, xT 0.14AndersenJosh King: 130 passningar, xT 0.03KingOscar Bobb: 95 passningar, xT 0.55BobbDavid Affengruber: 94 passningar, xT 0.07Affengruber
    Hull City
    Semi Ajayi: 109 passningar, xT 0.23AjayiKonstantinos Tzolakis: 105 passningar, xT 0.19TzolakisRegan Slater: 97 passningar, xT -0.04SlaterJohn Egan: 95 passningar, xT 0.06EganRyan Giles: 94 passningar, xT 1.22GilesLewie Coyle: 91 passningar, xT 0.23CoyleNobel Mendy: 74 passningar, xT 0.14MendyLucas Herrington: 69 passningar, xT -0.03HerringtonMohamed Belloumi: 61 passningar, xT 0.11BelloumiOli McBurnie: 50 passningar, xT 0.07McBurnieLucas Gourna-Douath: 38 passningar, xT 0.05Gourna-Douath
    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.

    Fulham
    Calvin Bassey: 307 passningar, xT 0.49BasseyAlex Iwobi: 261 passningar, xT 0.73IwobiSander Berge: 216 passningar, xT 0.07BergeTimothy Castagne: 198 passningar, xT 0.39CastagneAntonee Robinson: 196 passningar, xT 0.44RobinsonBernd Leno: 173 passningar, xT -0.04LenoShea Charles: 170 passningar, xT 0.07CharlesJoachim Andersen: 166 passningar, xT 0.14AndersenJosh King: 130 passningar, xT 0.03KingOscar Bobb: 95 passningar, xT 0.55BobbDavid Affengruber: 94 passningar, xT 0.07Affengruber
    Hull City
    Semi Ajayi: 109 passningar, xT 0.23AjayiKonstantinos Tzolakis: 105 passningar, xT 0.19TzolakisRegan Slater: 97 passningar, xT -0.04SlaterJohn Egan: 95 passningar, xT 0.06EganRyan Giles: 94 passningar, xT 1.22GilesLewie Coyle: 91 passningar, xT 0.23CoyleNobel Mendy: 74 passningar, xT 0.14MendyLucas Herrington: 69 passningar, xT -0.03HerringtonMohamed Belloumi: 61 passningar, xT 0.11BelloumiOli McBurnie: 50 passningar, xT 0.07McBurnieLucas Gourna-Douath: 38 passningar, xT 0.05Gourna-Douath

    The teams in numbers

    PerformanceFulhamHull City
    Points28
    xPoints7.37.4
    xG per match1.71
    xGA per match1.41.3
    xG within 8s of winning the ball0.410.12
    xGA within 8s of losing the ball0.210.14
    Playing styleFulhamHull City
    Build-up efficiency0.330.3
    Field tilt0.50.24
    xT per match10.69
    xTA per match1.21.3
    Won balls, offensive half1923
    Pressing intensity0.260.24
    Pressing efficiency0.270.21
    Pressing efficiency, offensive half0.260.17
    Entries into the box per match1411
    Entries into the box against1517
    Pass completion %0.80.67
    Pass completion % under pressure0.760.68
    Passes per match475212
    Passes against per match393535
    Switches of play per match3422.3
    Long balls per match3130
    Set piecesFulhamHull City
    xG from free kicks00.07
    Corners per match5.73.4
    Corners against per match5.36
    xG per corner0.010.06
    xGA per corner against0.040.01
    First touch, offensive corners %0.430.41
    First touch, defensive corners %0.460.63
    OtherFulhamHull City
    Throw-in control0.750.71
    The goalkeepersBernd Leno (Fulham)Konstantinos Tzolakis (Hull City)
    Saves1719
    Save %68%83%
    xG prevented55%85%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Fulham vs Hull City according to our model?

    The model gives Fulham a 61% win probability. Full 1X2 picture: Fulham 61%, draw 22%, Hull City 17%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 51% according to the model.

    How many goals are expected in Fulham vs Hull City?

    The model expects 1.85 goals (xG) for Fulham and 0.91 for Hull City, 2.77 in total.

    What does the model say about double chance?

    Fulham or draw (1X) 83%, Hull City or draw (X2) 39% and no draw (12) 78%.

    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.