Ladislav Krejcí
2025/26 season archive
Krejčí is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
Wolves
How he ranks
28 games · 119 defenders
Minutes and bonus
Where the points come from
60% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 92 earned, 68 net
Are the returns real?
His goals and assists are in line with the chances behind them — +0.3 against expectation over 2356 minutes.
Defensive Contribution
He averages 7 against a line of 10 — close enough that a busy game gets him there, but not reliably.
Against each level of opponent
He scores 2.6 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 | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | EVE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 4 | NEW (A) | 90 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 8 | 0.0 | 0.2 | 0.2 | 1.6 | 1 | 0 | £4.5m |
| 5 | LEE (H) | 90 | 7 | 1 | 0 | 0 | 3 | 0 | 8 | 0 | 8 | 0.7 | 0.0 | 0.7 | 0.5 | 0 | 0 | £4.5m |
| 6 | TOT (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 13 | 0.1 | 0.0 | 0.1 | 0.9 | 0 | 0 | £4.5m |
| 7 | BHA (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 0 | 15 | 0.0 | 0.0 | 0.0 | 1.1 | 0 | 0 | £4.5m |
| 8 | SUN (A) | 90 | -1 | 0 | 0 | 0 | 2 | 0 | 9 | 0 | 7 | 0.0 | 0.1 | 0.1 | 0.7 | 0 | 0 | £4.5m |
| 9 | BUR (H) | 90 | 4 | 0 | 1 | 0 | 3 | 0 | 8 | 0 | 12 | 0.1 | 0.7 | 0.8 | 1.4 | 0 | 0 | £4.5m |
| 10 | FUL (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | 1 | 0.1 | 0.0 | 0.1 | 1.4 | 0 | 0 | £4.5m |
| 11 | CHE (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 9 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.3 | 0 | 0 | £4.5m |
| 12 | CRY (H) | 74 | 1 | 0 | 0 | 0 | 2 | 0 | 8 | 0 | 4 | 0.7 | 0.0 | 0.7 | 1.2 | 0 | 0 | £4.5m |
| 13 | AVL (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 14 | NFO (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 15 | MUN (H) | 90 | 1 | 0 | 0 | 0 | 4 | 0 | 11 | 0 | -8 | 0.1 | 0.0 | 0.1 | 4.1 | 1 | 0 | £4.5m |
| 16 | ARS (A) | 79 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 2 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0 | £4.5m |
| 17 | BRE (H) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 9 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.3 | 0 | 0 | £4.5m |
| 18 | LIV (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 5 | 0 | 7 | 0.0 | 0.1 | 0.1 | 1.5 | 0 | 0 | £4.5m |
| 19 | MUN (A) | 90 | 8 | 1 | 0 | 0 | 1 | 0 | 3 | 0 | 19 | 0.3 | 0.0 | 0.4 | 0.8 | 0 | 0 | £4.5m |
| 20 | WHU (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 31 | 0.0 | 0.0 | 0.0 | 0.3 | 0 | 0 | £4.5m |
| 21 | EVE (A) | 67 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 7 | 0.0 | 0.1 | 0.1 | 0.8 | 0 | 0 | £4.5m |
| 22 | NEW (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 7 | 0 | 20 | 0.0 | 0.0 | 0.0 | 0.9 | 0 | 0 | £4.5m |
| 23 | MCI (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 8 | 0.0 | 0.0 | 0.0 | 0.9 | 0 | 0 | £4.5m |
| 24 | BOU (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 25 | CHE (H) | 47 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £4.5m |
| 26 | NFO (A) | 90 | 8 | 0 | 0 | 1 | 0 | 0 | 13 | 0 | 25 | 0.0 | 0.0 | 0.0 | 2.5 | 0 | 0 | £4.5m |
| 26 | ARS (H) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 9 | 0 | 5 | 0.0 | 0.1 | 0.1 | 1.9 | 0 | 0 | £4.5m |
| 27 | CRY (A) | 60 | -1 | 0 | 0 | 0 | 1 | 0 | 9 | 0 | -3 | 0.0 | 0.0 | 0.0 | 0.9 | 0 | 1 | £4.5m |
| 28 | AVL (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 29 | LIV (H) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 10 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.8 | 0 | 0 | £4.5m |
| 30 | BRE (A) | 90 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | -4 | 0.0 | 0.0 | 0.0 | 2.6 | 1 | 0 | £4.5m |
| 32 | WHU (A) | 90 | 0 | 0 | 0 | 0 | 4 | 0 | 8 | 0 | 0 | 0.0 | 0.1 | 0.1 | 2.4 | 0 | 0 | £4.5m |
| 33 | LEE (A) | 74 | 1 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 7 | 0.1 | 0.0 | 0.2 | 1.9 | 0 | 0 | £4.5m |
| 34 | TOT (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 35 | SUN (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 36 | BHA (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.5m |
| 37 | FUL (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 0 | 12 | 0.0 | 0.1 | 0.1 | 1.6 | 0 | 0 | £4.5m |
| 38 | BUR (A) | 65 | 6 | 0 | 1 | 0 | 1 | 0 | 7 | 1 | 19 | 0.1 | 0.0 | 0.1 | 0.6 | 0 | 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
GW8–38: model expected 60 pts · he scored 56 (−4 vs expectation)