Quilindschy Hartman
2025/26 season archive
Hartman is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
Burnley
How he ranks
21 games · 119 defenders
Minutes and bonus
Where the points come from
54% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 78 earned, 63 net
Are the returns real?
He is beating his expected numbers by +3.7 over 1825 minutes.
There is no full season on record to compare it against.
Defensive Contribution
He averages 7.3 against a line of 10 — close enough that a busy game gets him there, but not reliably.
Against each level of opponent
He scores 3.0 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.
1 is the easiest opponent, 5 the hardest. Bracketed figure is appearances at that level.
Gameweek log
| Opponent | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | TOT (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 6 | 0 | -2 | 0.0 | 0.0 | 0.0 | 2.3 | 0 | 0 | £4.0m |
| 2 | SUN (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 26 | 0.0 | 0.0 | 0.0 | 0.8 | 0 | 0 | £4.0m |
| 3 | MUN (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 9 | 0 | 2 | 0.1 | 0.0 | 0.1 | 3.6 | 0 | 0 | £4.0m |
| 4 | LIV (H) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 17 | 0 | 14 | 0.0 | 0.0 | 0.0 | 2.5 | 0 | 0 | £4.0m |
| 5 | NFO (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 10 | 0.0 | 0.3 | 0.3 | 1.1 | 0 | 0 | £4.0m |
| 6 | MCI (A) | 87 | 3 | 0 | 1 | 0 | 3 | 0 | 6 | 0 | 6 | 0.0 | 0.1 | 0.1 | 1.4 | 1 | 0 | £4.0m |
| 7 | AVL (A) | 90 | 4 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 12 | 0.0 | 0.2 | 0.2 | 1.4 | 0 | 0 | £4.0m |
| 8 | LEE (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 26 | 0.0 | 0.0 | 0.0 | 2.6 | 0 | 0 | £4.0m |
| 9 | WOL (A) | 90 | 7 | 0 | 2 | 0 | 2 | 0 | 6 | 0 | 25 | 0.0 | 0.6 | 0.6 | 2.5 | 0 | 0 | £4.0m |
| 10 | ARS (H) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 7 | 0.0 | 0.0 | 0.0 | 2.4 | 0 | 0 | £4.0m |
| 11 | WHU (A) | 80 | 1 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 8 | 0.0 | 0.1 | 0.1 | 2.1 | 0 | 0 | £4.0m |
| 12 | CHE (H) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 10 | 0.0 | 0.0 | 0.1 | 1.7 | 0 | 0 | £4.0m |
| 13 | BRE (A) | 90 | 3 | 0 | 0 | 0 | 3 | 0 | 12 | 0 | 8 | 0.0 | 0.0 | 0.0 | 3.1 | 0 | 0 | £4.0m |
| 14 | CRY (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 12 | 0.0 | 0.1 | 0.1 | 0.6 | 0 | 0 | £4.0m |
| 15 | NEW (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 16 | FUL (H) | 90 | 4 | 0 | 1 | 0 | 3 | 0 | 6 | 0 | 6 | 0.0 | 0.0 | 0.0 | 2.2 | 0 | 0 | £4.0m |
| 17 | BOU (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 18 | EVE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 19 | NEW (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 20 | BHA (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 21 | MUN (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 22 | LIV (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 23 | TOT (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 24 | SUN (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 25 | WHU (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 26 | CRY (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 27 | CHE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 28 | BRE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 29 | EVE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 30 | BOU (H) | 73 | 6 | 0 | 0 | 1 | 0 | 0 | 6 | 0 | 22 | 0.0 | 0.0 | 0.0 | 1.7 | 0 | 0 | £4.0m |
| 31 | FUL (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | 8 | 0.0 | 0.2 | 0.2 | 3.1 | 0 | 0 | £4.0m |
| 32 | BHA (H) | 81 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 5 | 0.0 | 0.0 | 0.0 | 1.8 | 0 | 0 | £4.0m |
| 33 | NFO (A) | 90 | 3 | 0 | 1 | 0 | 4 | 0 | 9 | 0 | 13 | 0.0 | 0.2 | 0.2 | 1.2 | 0 | 0 | £4.0m |
| 33 | MCI (H) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 16 | 0 | 13 | 0.1 | 0.0 | 0.1 | 3.5 | 0 | 0 | £4.0m |
| 35 | LEE (A) | 64 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | -3 | 0.0 | 0.0 | 0.0 | 1.3 | 0 | 0 | £4.0m |
| 36 | AVL (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 37 | ARS (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
| 38 | WOL (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.0m |
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
GW8–38: model expected 39 pts · he scored 35 (−4 vs expectation)