Samuel Chukwueze
2025/26 season archive
Chukwueze is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
Fulham
How he ranks
23 games · 141 midfielders
DefCon is what drags him — 27th of 141, against 85th for points.
Minutes and bonus
Where the points come from
52% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 62 earned
Are the returns real?
He is beating his expected numbers by +1.5 over 1067 minutes.
There is no full season on record to compare it against.
Defensive Contribution
He averages 3.5 against a line of 12, so DefCon is not a realistic source of points for him.
Against each level of opponent
His return barely moves with the difficulty of the opponent.
1 is the easiest opponent, 5 the hardest. Bracketed figure is appearances at that level.
Gameweek log
| Opponent | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | LEE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.5m |
| 5 | BRE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.5m |
| 6 | AVL (A) | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0.2 | 0.0 | 0.2 | 0.0 | 0 | 0 | £5.5m |
| 7 | BOU (A) | 23 | 4 | 0 | 1 | 0 | 3 | 0 | 2 | 0 | 17 | 0.0 | 0.4 | 0.4 | 0.7 | 0 | 0 | £5.4m |
| 8 | ARS (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.4m |
| 9 | NEW (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.4m |
| 10 | WOL (H) | 13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 0.4 | 0.1 | 0.5 | 0.1 | 0 | 0 | £5.3m |
| 11 | EVE (A) | 31 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.0 | 0.1 | 0.1 | 0.6 | 0 | 0 | £5.3m |
| 12 | SUN (H) | 26 | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 28 | 0.0 | 0.5 | 0.5 | 0.0 | 0 | 0 | £5.3m |
| 13 | TOT (A) | 80 | 5 | 0 | 1 | 0 | 1 | 0 | 8 | 0 | 17 | 0.1 | 0.7 | 0.8 | 0.6 | 0 | 0 | £5.3m |
| 14 | MCI (H) | 45 | 12 | 2 | 0 | 0 | 2 | 0 | 3 | 1 | 42 | 0.3 | 0.0 | 0.3 | 0.7 | 0 | 0 | £5.3m |
| 15 | CRY (H) | 75 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 0 | 10 | 0.0 | 0.0 | 0.1 | 1.0 | 0 | 0 | £5.3m |
| 16 | BUR (A) | 90 | 5 | 0 | 1 | 0 | 2 | 0 | 9 | 0 | 27 | 0.0 | 0.4 | 0.4 | 2.5 | 0 | 0 | £5.3m |
| 17 | NFO (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 18 | WHU (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 19 | CRY (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 20 | LIV (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 21 | CHE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 22 | LEE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 23 | BHA (H) | 31 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.2 | 0.0 | 0.3 | 0.3 | 0 | 0 | £5.3m |
| 24 | MUN (A) | 78 | 2 | 0 | 0 | 0 | 2 | 0 | 8 | 0 | 9 | 0.0 | 0.0 | 0.1 | 1.6 | 0 | 0 | £5.3m |
| 25 | EVE (H) | 74 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 12 | 0.2 | 0.2 | 0.5 | 1.6 | 0 | 0 | £5.3m |
| 26 | MCI (A) | 59 | 1 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 4 | 0.0 | 0.1 | 0.1 | 1.4 | 0 | 0 | £5.3m |
| 27 | SUN (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 28 | TOT (H) | 18 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 6 | 0.0 | 0.2 | 0.3 | 0.2 | 0 | 0 | £5.3m |
| 29 | WHU (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 11 | 0.0 | 0.1 | 0.2 | 1.1 | 0 | 0 | £5.3m |
| 30 | NFO (A) | 28 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £5.3m |
| 31 | BUR (H) | 29 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | -1 | 0.3 | 0.1 | 0.4 | 0.4 | 0 | 0 | £5.3m |
| 32 | LIV (A) | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 0.1 | 0.1 | 0.2 | 0.1 | 0 | 0 | £5.3m |
| 33 | BRE (A) | 47 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.0 | 0.1 | 0.1 | 1.1 | 0 | 0 | £5.3m |
| 34 | AVL (H) | 75 | 3 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 12 | 0.1 | 0.1 | 0.2 | 0.6 | 0 | 0 | £5.3m |
| 35 | ARS (A) | 63 | 2 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 6 | 0.0 | 0.0 | 0.0 | 2.9 | 0 | 0 | £5.3m |
| 36 | BOU (H) | 61 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 0 | £5.3m |
| 37 | WOL (A) | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.3 | 0 | 0 | £5.3m |
| 38 | NEW (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
What the model expects
From the same expected-points model that runs across the whole player pool — an estimate per gameweek, not a prediction of any single one.
Direction = last five gameweeks vs the five before. The model is injury-blind.
Points by gameweek · with model expectation
GW16–38: model expected 31 pts · he scored 12 (−19 vs expectation)