Premier LeagueCraven Cottage, London17°0,4 mm23 km/h

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    FulhamFulhamBalanced & physical
    vs
    ChelseaChelseaBalanced & physical
    The model's lean: 2 · Chelsea (39%)Soft drawBest value by the model: 1 · Fulham @ 3.80 (+32 %)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    FulhamChelsea · Premier League

    1 · Fulham 35%X 26%39% Chelsea · 2

    Analysis: FulhamChelsea

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

    Four head-to-head clashes since 2022, evenly split with two wins apiece, suggest a competitive narrative between Fulham and Chelsea. Still, a small sample size like this holds less weight compared to broader form and metrics. What the numbers reveal is Chelsea holding slight edges in expected goals and points, painting them as narrow favorites. Their balanced but physical style mirrors Fulham's, though perhaps with a touch more finesse, as reflected in their marginally superior xG per match at 1.6 to Fulham's 1.4.

    Chelsea, despite their modest recent returns, have the model's backing with a 39% chance of victory, compared to Fulham's 35%. The most likely scorelines further support this notion, with a 1-1 draw at 13% and a 0-1 Chelsea win at 10%. Expected goals of 1.19 for Fulham and 1.47 for Chelsea align with a tight contest, yet one suggesting Chelsea might just about edge it, possibly sneaking a 0-1 or 1-2 win.

    Fulham, playing at home, turn the weather to their advantage. Rain and strong winds are forecast, conditions that typically stifle goal-scoring opportunities. This weather context is already factored into the model's numbers, yet it might still nudge an under 2.5 goals play into consideration given the weather's impact on fluency and finishing.

    Punters seeking value have a juicy proposition on Fulham's home win, rated at 35% by the model. With odds of 3.6 from Nordicbet offering a 25% edge, this is a prime opportunity for those eyeing a potential upset. Despite Chelsea's edge in the metrics, the betting market's underestimation of Fulham makes this wager intriguing, if speculative. As for the sharpest angle, a cautious go with the model's lean on Chelsea, while keeping a side-eye on the generous odds for a Fulham win, encapsulates the essence of betting wisdom.

    FulhamFulham
    Form WLLDW
    League ranking xG #14xGA #5xT #12xP/match #13Points #10
    Key players
    • Alex IwobiCAMxG 0.06 · xT 0.19
    • Raul JimenezFxG 0.49 · xT 0.00
    • Joachim AndersenCBxG 0.07 · xT 0.10
    ChelseaChelsea
    Form LLDWL
    League ranking xG #5xGA #4xT #5xP/match #9Points #11
    Key players
    • João PedroFxG 0.45 · xT 0.02
    • Cole PalmerRWxG 0.42 · xT 0.14
    • Pedro NetoRWxG 0.15 · xT 0.21

    Match prediction: FulhamChelsea

    Predicted score matrix

    Chelsea
    Fulham
    0
    1
    2
    3
    4+
    0
    0–07.3%
    0–19.9%
    0–27.5%
    0–33.7%
    0–4+1.9%
    1
    1–08.0%
    1–112.6%
    1–29.0%
    1–34.4%
    1–4+2.2%
    2
    2–05.0%
    2–17.3%
    2–25.4%
    2–32.6%
    2–4+1.3%
    3
    3–02.0%
    3–12.9%
    3–22.1%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.8%
    4+–11.1%
    4+–20.8%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.0-28%
    Expected goals
    1,191,47
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.27EV+14%
    Over 2,550%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Chelsea or draw (X2)70%
    • Under 3.5 goals72%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 3 legs

    Balanced

    • Double chance Chelsea or draw (X2)70%
    • Under 2.5 goals50%
    • João Pedro Junqueira de Jesus to score25%

    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 score54%
    • Over 2.5 goals50%
    • João Pedro Junqueira de Jesus to score25%
    • Sander Gard Bolin Berge 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+).

    • 1 · Fulham35% probability@3.80NordicbetEV+32%reference odds
    • 1 · Fulham35% probability@3.78BetssonEV+31%reference odds
    • 1 · Fulham35% probability@3.75BetsafeEV+30%reference odds
    Bookmaker1 · FulhamX2 · Chelsea
    Betsafe
    EV+ 30%
    3.75
    3.651.92
    Betsson
    EV+ 31%
    3.78
    3.661.94
    Nordicbet
    EV+ 32%
    3.80
    3.651.95

    Odds updated 18 Aug, 19:37

    Odds movement

    1+6 %
    28 %23 %

    3.583.78

    X0 %
    29 %24 %

    3.663.66

    2-3 %
    51 %46 %

    2.001.94

    Over 2,5+2 %
    61 %56 %

    1.611.65

    Betsson · 5 recorded price levels · 18/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Fulham 2Draw 0Chelsea 2
    Goals: 56 (⌀ 2,8)

    Head-to-head based on Premier League data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Fulham
    Chelsea
    When goals are scored and conceded 2025
    Fulham (4751)
    Chelsea (5852)
    Pass networks

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

    Fulham
    Calvin Bassey: 246 passningar, xT 0.32BasseyAntonee Robinson: 190 passningar, xT 0.39RobinsonTimothy Castagne: 179 passningar, xT 1.05CastagneBernd Leno: 159 passningar, xT 0.09LenoSaša Lukić: 148 passningar, xT 0.06LukićIssa Diop: 137 passningar, xT 0.12DiopEmile Smith Rowe: 121 passningar, xT 0.08RoweTom Cairney: 120 passningar, xT -0.12CairneySander Berge: 115 passningar, xT 0.16BergeJoachim Andersen: 113 passningar, xT 0.12AndersenAlex Iwobi: 92 passningar, xT 0.45Iwobi
    Chelsea
    Moises Caicedo: 288 passningar, xT 0.14CaicedoEnzo Fernandez: 224 passningar, xT 0.66FernandezMalo Gusto: 174 passningar, xT 0.83GustoJorrel Hato: 173 passningar, xT 0.1HatoLevi Colwill: 165 passningar, xT 0.1ColwillWesley Fofana: 146 passningar, xT 0.16FofanaMarc Cucurella: 144 passningar, xT 0.25CucurellaTrevoh Chalobah: 137 passningar, xT 0.1ChalobahCole Palmer: 130 passningar, xT 0.37PalmerAndrey Santos: 104 passningar, xT 0.05SantosRobert Sánchez: 97 passningar, xT 0.04Sánchez
    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: 246 passningar, xT 0.32BasseyAntonee Robinson: 190 passningar, xT 0.39RobinsonTimothy Castagne: 179 passningar, xT 1.05CastagneBernd Leno: 159 passningar, xT 0.09LenoSaša Lukić: 148 passningar, xT 0.06LukićIssa Diop: 137 passningar, xT 0.12DiopEmile Smith Rowe: 121 passningar, xT 0.08RoweTom Cairney: 120 passningar, xT -0.12CairneySander Berge: 115 passningar, xT 0.16BergeJoachim Andersen: 113 passningar, xT 0.12AndersenAlex Iwobi: 92 passningar, xT 0.45Iwobi
    Chelsea
    Moises Caicedo: 288 passningar, xT 0.14CaicedoEnzo Fernandez: 224 passningar, xT 0.66FernandezMalo Gusto: 174 passningar, xT 0.83GustoJorrel Hato: 173 passningar, xT 0.1HatoLevi Colwill: 165 passningar, xT 0.1ColwillWesley Fofana: 146 passningar, xT 0.16FofanaMarc Cucurella: 144 passningar, xT 0.25CucurellaTrevoh Chalobah: 137 passningar, xT 0.1ChalobahCole Palmer: 130 passningar, xT 0.37PalmerAndrey Santos: 104 passningar, xT 0.05SantosRobert Sánchez: 97 passningar, xT 0.04Sánchez

    The teams in numbers

    PerformanceFulhamChelsea
    Points5252
    xPoints51.453.3
    xG per match1.41.6
    xGA per match1.41.4
    xG within 8s of winning the ball0.210.24
    xGA within 8s of losing the ball0.220.25
    Playing styleFulhamChelsea
    Build-up efficiency0.330.32
    Field tilt0.50.59
    xT per match0.931.1
    xTA per match0.850.88
    Won balls, offensive half2325
    Pressing intensity0.230.23
    Pressing efficiency0.240.28
    Pressing efficiency, offensive half0.280.32
    Entries into the box per match1312
    Entries into the box against1212
    Pass completion %0.80.83
    Pass completion % under pressure0.740.79
    Passes per match407469
    Passes against per match377325
    Switches of play per match25.420.9
    Long balls per match2926
    Set piecesFulhamChelsea
    xG from free kicks0.030.04
    Corners per match4.95.9
    Corners against per match5.54.3
    xG per corner0.060.06
    xGA per corner against0.070.06
    First touch, offensive corners %0.390.41
    First touch, defensive corners %0.660.51
    OtherFulhamChelsea
    Throw-in control0.70.75
    The goalkeepersBernd Leno (Fulham)Robert Sánchez (Chelsea)
    Saves98102
    Save %67%69%
    xG prevented47%41%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Fulham vs Chelsea according to our model?

    The model gives Chelsea a 39% win probability. Full 1X2 picture: Fulham 35%, draw 26%, Chelsea 39%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% 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 54% 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.