Lutsharel Geertruida
2025/26 season archive
Geertruida is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
Sunderland
How he ranks
28 games · 119 defenders
Minutes and bonus
Where the points come from
74% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 61 earned, 55 net
Are the returns real?
His goals and assists are in line with the chances behind them — −1.6 against expectation over 1681 minutes.
Defensive Contribution
He averages 4 against a line of 10, 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 | CRY (A) | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 0 | £4.5m |
| 5 | AVL (H) | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.3 | 0 | 0 | £4.5m |
| 6 | NFO (A) | 31 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.3 | 0.1 | 0.3 | 1.2 | 0 | 0 | £4.5m |
| 7 | MUN (A) | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 0 | £4.5m |
| 8 | WOL (H) | 14 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 0.0 | 0.0 | 0.0 | 0.5 | 0 | 0 | £4.5m |
| 9 | CHE (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 9 | 0.0 | 0.2 | 0.2 | 0.9 | 0 | 0 | £4.5m |
| 10 | EVE (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 0 | 16 | 0.0 | 0.0 | 0.1 | 0.9 | 0 | 0 | £4.5m |
| 11 | ARS (H) | 86 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 8 | 0.0 | 0.1 | 0.1 | 1.4 | 0 | 0 | £4.5m |
| 12 | FUL (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 0 | 8 | 0.0 | 0.0 | 0.0 | 2.2 | 0 | 0 | £4.5m |
| 13 | BOU (H) | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 14 | LIV (A) | 11 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | -1 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £4.5m |
| 15 | MCI (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | 12 | 0.0 | 0.0 | 0.0 | 2.4 | 0 | 0 | £4.5m |
| 16 | NEW (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 17 | BHA (A) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 21 | 0.0 | 0.0 | 0.0 | 1.1 | 0 | 0 | £4.5m |
| 18 | LEE (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 0 | 12 | 0.0 | 0.0 | 0.0 | 2.2 | 0 | 0 | £4.5m |
| 19 | MCI (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 21 | 0.0 | 0.0 | 0.0 | 2.3 | 0 | 0 | £4.5m |
| 20 | TOT (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 0 | 14 | 0.0 | 0.0 | 0.0 | 1.2 | 0 | 0 | £4.5m |
| 21 | BRE (A) | 78 | 1 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | -1 | 0.0 | 0.0 | 0.0 | 2.8 | 0 | 0 | £4.5m |
| 22 | CRY (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 23 | WHU (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 24 | BUR (H) | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.0 | 0.1 | 0.1 | 0.0 | 0 | 0 | £4.5m |
| 25 | ARS (A) | 19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | -1 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £4.5m |
| 26 | LIV (H) | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 0.0 | 0.1 | 0.1 | 0.1 | 0 | 0 | £4.5m |
| 27 | FUL (H) | 78 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | 5 | 0.1 | 0.1 | 0.1 | 1.9 | 0 | 0 | £4.5m |
| 28 | BOU (A) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 13 | 0 | 6 | 0.0 | 0.0 | 0.0 | 1.7 | 0 | 0 | £4.5m |
| 29 | LEE (A) | 54 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 0 | £4.5m |
| 30 | BHA (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 10 | 0.1 | 0.0 | 0.1 | 1.7 | 0 | 0 | £4.5m |
| 31 | NEW (A) | 90 | 3 | 0 | 0 | 0 | 1 | 0 | 10 | 0 | 8 | 0.0 | 0.0 | 0.0 | 1.3 | 1 | 0 | £4.5m |
| 32 | TOT (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 33 | AVL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 34 | NFO (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 35 | WOL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 36 | MUN (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 4 | 0 | 26 | 0.2 | 0.1 | 0.3 | 0.6 | 0 | 0 | £4.5m |
| 37 | EVE (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 0 | 14 | 0.1 | 0.0 | 0.1 | 1.0 | 0 | 0 | £4.5m |
| 38 | CHE (H) | 90 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0.0 | 0.0 | 0.0 | 0.9 | 1 | 0 | £4.5m |
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
GW12–34: model expected 44 pts · he scored 21 (−23 vs expectation)