Lucas Tolentino Coelho de Lima
2025/26 season archive
L.Paquetá is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
West Ham
has joined Flamengo permanently.
How he ranks
18 games · 141 midfielders
Minutes and bonus
Where the points come from
47% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 77 earned, 69 net
Are the returns real?
His goals and assists are in line with the chances behind them — +1.1 against expectation over 1513 minutes.
Goals and assists minus xGI, per season. Positive means he finished above the chances he had.
Defensive Contribution
He averages 8.1 against a line of 12 — close enough that a busy game gets him there, but not reliably.
Gameweek log
| Opponent | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | SUN (A) | 90 | 2 | 0 | 0 | 0 | 3 | 0 | 6 | 0 | 11 | 0.0 | 0.1 | 0.1 | 0.7 | 0 | 0 | £6.0m |
| 2 | CHE (H) | 90 | 9 | 1 | 0 | 0 | 5 | 0 | 11 | 2 | 39 | 0.1 | 0.1 | 0.2 | 2.7 | 0 | 0 | £5.9m |
| 3 | NFO (A) | 90 | 10 | 1 | 0 | 1 | 0 | 0 | 15 | 0 | 24 | 1.1 | 0.1 | 1.2 | 0.7 | 0 | 0 | £5.9m |
| 4 | TOT (H) | 67 | 2 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 4 | 0.3 | 0.0 | 0.3 | 0.8 | 0 | 0 | £5.9m |
| 5 | CRY (H) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 6 | 0.0 | 0.1 | 0.1 | 2.3 | 1 | 0 | £5.9m |
| 6 | EVE (A) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 13 | 0 | 17 | 0.1 | 0.2 | 0.3 | 0.7 | 0 | 0 | £5.9m |
| 7 | ARS (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 11 | 0 | 19 | 0.0 | 0.3 | 0.3 | 2.8 | 1 | 0 | £5.9m |
| 8 | BRE (H) | 90 | 2 | 0 | 0 | 0 | 2 | 0 | 9 | 0 | 6 | 0.0 | 0.1 | 0.1 | 2.3 | 0 | 0 | £5.9m |
| 9 | LEE (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 8 | 0.1 | 0.1 | 0.2 | 1.5 | 1 | 0 | £5.9m |
| 10 | NEW (H) | 90 | 9 | 1 | 0 | 0 | 1 | 0 | 10 | 3 | 42 | 0.1 | 0.1 | 0.1 | 0.5 | 1 | 0 | £5.9m |
| 11 | BUR (H) | 82 | 4 | 0 | 1 | 0 | 1 | 0 | 10 | 0 | 22 | 0.1 | 0.1 | 0.3 | 0.5 | 1 | 0 | £5.9m |
| 12 | BOU (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 13 | LIV (H) | 83 | -1 | 0 | 0 | 0 | 2 | 0 | 8 | 0 | 1 | 0.0 | 0.0 | 0.0 | 0.9 | 0 | 1 | £5.9m |
| 14 | MUN (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 15 | BHA (A) | 81 | 3 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 19 | 0.0 | 0.1 | 0.1 | 1.3 | 0 | 0 | £5.9m |
| 16 | AVL (H) | 88 | 2 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 4 | 0.0 | 0.2 | 0.2 | 0.6 | 0 | 0 | £5.9m |
| 17 | MCI (A) | 77 | 2 | 0 | 0 | 0 | 3 | 0 | 10 | 0 | 21 | 0.0 | 0.1 | 0.2 | 1.6 | 0 | 0 | £5.9m |
| 18 | FUL (H) | 81 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 0 | 11 | 0.1 | 0.1 | 0.2 | 0.9 | 0 | 0 | £5.9m |
| 19 | BHA (H) | 82 | 13 | 1 | 1 | 0 | 2 | 0 | 7 | 3 | 32 | 0.8 | 0.2 | 1.0 | 2.9 | 0 | 0 | £5.9m |
| 20 | WOL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 21 | NFO (H) | 62 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 5 | 0.0 | 0.0 | 0.0 | 0.5 | 0 | 0 | £5.9m |
| 22 | TOT (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 23 | SUN (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 24 | CHE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 25 | BUR (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 26 | MUN (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 27 | BOU (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 28 | LIV (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 29 | FUL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 30 | MCI (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 31 | AVL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 32 | WOL (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 33 | CRY (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 34 | EVE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 35 | BRE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 36 | ARS (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 37 | NEW (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
| 38 | LEE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.9m |
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
GW8–24: model expected 51 pts · he scored 40 (−11 vs expectation)