01 · 2 legs
Safe
- Double chance Chelsea or draw (X2)70%
- Under 3.5 goals72%
Premier LeagueCraven Cottage, London17°0,4 mm23 km/h
Läs på svenskaOscar 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.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Fulham | X | 2 · Chelsea |
|---|---|---|---|
| Betsafe | EV+ 30% 3.75 | 3.65 | 1.92 |
| Betsson | EV+ 31% 3.78 | 3.66 | 1.94 |
| Nordicbet | EV+ 32% 3.80 | 3.65 | 1.95 |
Odds updated 18 Aug, 19:37
3.58 → 3.78
3.66 → 3.66
2.00 → 1.94
1.61 → 1.65
Betsson · 5 recorded price levels · 18/08/2026 → 18/08/2026 · fixed scale 5 percentage points
Head-to-head based on Premier League data since 2022.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
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.
| Performance | Fulham | Chelsea |
|---|---|---|
| Points | 52 | 52 |
| xPoints | 51.4 | 53.3 |
| xG per match | 1.4 | 1.6 |
| xGA per match | 1.4 | 1.4 |
| xG within 8s of winning the ball | 0.21 | 0.24 |
| xGA within 8s of losing the ball | 0.22 | 0.25 |
| Playing style | Fulham | Chelsea |
|---|---|---|
| Build-up efficiency | 0.33 | 0.32 |
| Field tilt | 0.5 | 0.59 |
| xT per match | 0.93 | 1.1 |
| xTA per match | 0.85 | 0.88 |
| Won balls, offensive half | 23 | 25 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.24 | 0.28 |
| Pressing efficiency, offensive half | 0.28 | 0.32 |
| Entries into the box per match | 13 | 12 |
| Entries into the box against | 12 | 12 |
| Pass completion % | 0.8 | 0.83 |
| Pass completion % under pressure | 0.74 | 0.79 |
| Passes per match | 407 | 469 |
| Passes against per match | 377 | 325 |
| Switches of play per match | 25.4 | 20.9 |
| Long balls per match | 29 | 26 |
| Set pieces | Fulham | Chelsea |
|---|---|---|
| xG from free kicks | 0.03 | 0.04 |
| Corners per match | 4.9 | 5.9 |
| Corners against per match | 5.5 | 4.3 |
| xG per corner | 0.06 | 0.06 |
| xGA per corner against | 0.07 | 0.06 |
| First touch, offensive corners % | 0.39 | 0.41 |
| First touch, defensive corners % | 0.66 | 0.51 |
| Other | Fulham | Chelsea |
|---|---|---|
| Throw-in control | 0.7 | 0.75 |
| The goalkeepers | Bernd Leno (Fulham) | Robert Sánchez (Chelsea) |
|---|---|---|
| Saves | 98 | 102 |
| Save % | 67% | 69% |
| xG prevented | 47% | 41% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Chelsea a 39% win probability. Full 1X2 picture: Fulham 35%, draw 26%, Chelsea 39%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 50% and under at 50%.
The probability of both teams scoring is 54% according to the model.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.