Tomáš Souček
2025/26 season archive
Souček is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.
West Ham
How he ranks
35 games · 141 midfielders
Minutes and bonus
Where the points come from
53% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 109 earned, 103 net
Are the returns real?
His goals and assists are in line with the chances behind them — +0.8 against expectation over 2190 minutes.
Goals and assists minus xGI, per season. Positive means he finished above the chances he had.
Defensive Contribution
He averages 6.4 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 | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | SUN (A) | 19 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 4 | 0.1 | 0.0 | 0.1 | 0.1 | 0 | 0 | £6.0m |
| 2 | CHE (H) | 69 | 2 | 0 | 0 | 0 | 5 | 0 | 6 | 0 | 8 | 0.1 | 0.0 | 0.1 | 2.4 | 0 | 0 | £5.9m |
| 3 | NFO (A) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 9 | 0 | 14 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £5.9m |
| 4 | TOT (H) | 53 | -2 | 0 | 0 | 0 | 3 | 0 | 11 | 0 | -2 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 1 | £5.8m |
| 5 | CRY (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.8m |
| 6 | EVE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.7m |
| 7 | ARS (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.7m |
| 8 | BRE (H) | 70 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 0 | 11 | 0.1 | 0.0 | 0.1 | 1.9 | 0 | 0 | £5.7m |
| 9 | LEE (A) | 64 | 2 | 0 | 0 | 0 | 2 | 0 | 3 | 0 | 10 | 0.2 | 0.0 | 0.3 | 1.5 | 0 | 0 | £5.7m |
| 10 | NEW (H) | 29 | 6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 1.0 | 0.0 | 1.0 | 0.2 | 0 | 0 | £5.7m |
| 11 | BUR (H) | 28 | 12 | 1 | 1 | 0 | 1 | 0 | 4 | 3 | 35 | 0.8 | 0.0 | 0.8 | 0.7 | 0 | 0 | £5.7m |
| 12 | BOU (A) | 38 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 5 | 0.0 | 0.0 | 0.0 | 3.5 | 0 | 0 | £5.7m |
| 13 | LIV (H) | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.3 | 0 | 0 | £5.7m |
| 14 | MUN (A) | 82 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.2 | 0 | 0 | £5.7m |
| 15 | BHA (A) | 8 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.5 | 0 | 0 | £5.7m |
| 16 | AVL (H) | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £5.7m |
| 17 | MCI (A) | 12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.0 | 0.0 | 0.0 | 0.5 | 0 | 0 | £5.7m |
| 18 | FUL (H) | 7 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £5.7m |
| 19 | BHA (H) | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £5.7m |
| 20 | WOL (A) | 45 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 8 | 0.0 | 0.0 | 0.0 | 0.3 | 0 | 0 | £5.7m |
| 21 | NFO (H) | 90 | 6 | 0 | 1 | 0 | 2 | 0 | 9 | 1 | 21 | 0.2 | 0.1 | 0.3 | 1.4 | 0 | 0 | £5.7m |
| 22 | TOT (A) | 90 | 3 | 0 | 0 | 0 | 1 | 0 | 17 | 0 | 15 | 0.2 | 0.1 | 0.3 | 1.4 | 1 | 0 | £5.7m |
| 23 | SUN (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 0 | 19 | 0.0 | 0.1 | 0.1 | 0.7 | 0 | 0 | £5.7m |
| 24 | CHE (A) | 90 | 2 | 0 | 0 | 0 | 3 | 0 | 8 | 0 | 4 | 0.0 | 0.0 | 0.0 | 2.7 | 0 | 0 | £5.7m |
| 25 | BUR (A) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 7 | 0 | 14 | 0.0 | 0.0 | 0.0 | 1.3 | 0 | 0 | £5.7m |
| 26 | MUN (H) | 90 | 9 | 1 | 0 | 0 | 1 | 0 | 10 | 2 | 28 | 0.5 | 0.0 | 0.5 | 0.6 | 0 | 0 | £5.7m |
| 27 | BOU (H) | 71 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 6 | 0.3 | 0.0 | 0.3 | 0.3 | 1 | 0 | £5.7m |
| 28 | LIV (A) | 89 | 7 | 1 | 0 | 0 | 5 | 0 | 5 | 0 | 30 | 0.8 | 0.0 | 0.9 | 1.4 | 0 | 0 | £5.7m |
| 29 | FUL (A) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 0 | 11 | 0.1 | 0.0 | 0.1 | 0.9 | 0 | 0 | £5.7m |
| 30 | MCI (H) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 17 | 0 | 18 | 0.0 | 0.0 | 0.0 | 2.0 | 0 | 0 | £5.7m |
| 31 | AVL (A) | 82 | 2 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.7 | 0 | 0 | £5.7m |
| 32 | WOL (H) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 14 | 0.0 | 0.0 | 0.1 | 0.6 | 0 | 0 | £5.7m |
| 33 | CRY (A) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 9 | 0 | 14 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £5.7m |
| 34 | EVE (H) | 90 | 10 | 1 | 0 | 0 | 1 | 0 | 7 | 3 | 43 | 0.3 | 0.0 | 0.3 | 1.4 | 0 | 0 | £5.7m |
| 35 | BRE (A) | 90 | 2 | 0 | 0 | 0 | 3 | 0 | 9 | 0 | 9 | 0.2 | 0.1 | 0.2 | 2.3 | 0 | 0 | £5.7m |
| 36 | ARS (H) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.2 | 0 | 0 | £5.7m |
| 37 | NEW (A) | 62 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 10 | 0.0 | 0.0 | 0.0 | 1.0 | 1 | 0 | £5.7m |
| 38 | LEE (H) | 90 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 0 | 17 | 0.8 | 0.0 | 0.8 | 1.6 | 0 | 0 | £5.7m |
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
GW13–38: model expected 56 pts · he scored 59 (+3 vs expectation)