Valentín Castellanos
2025/26 season archive
Taty 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
18 games · 32 forwards
Minutes and bonus
Where the points come from
52% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 67 earned, 61 net
Are the returns real?
His goals and assists are in line with the chances behind them — +0.4 against expectation over 1384 minutes.
Defensive Contribution
He averages 3.9 against a line of 12, so DefCon is not a realistic source of points for him.
Against each level of opponent
He scores 3.5 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 | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | NFO (H) | 90 | 2 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 0 | 0.4 | 0.0 | 0.4 | 1.4 | 0 | 0 | £5.5m |
| 22 | TOT (A) | 90 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | -6 | 0.7 | 0.0 | 0.8 | 1.4 | 1 | 0 | £5.5m |
| 23 | SUN (H) | 74 | 4 | 0 | 1 | 0 | 1 | 0 | 9 | 0 | 17 | 0.2 | 0.0 | 0.2 | 0.6 | 1 | 0 | £5.5m |
| 24 | CHE (A) | 75 | 2 | 0 | 0 | 0 | 2 | 0 | 5 | 0 | 13 | 0.2 | 0.0 | 0.3 | 1.9 | 0 | 0 | £5.5m |
| 25 | BUR (A) | 78 | 6 | 1 | 0 | 1 | 0 | 0 | 4 | 0 | 28 | 0.2 | 0.2 | 0.4 | 1.2 | 0 | 0 | £5.5m |
| 26 | MUN (H) | 68 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.2 | 0 | 0 | £5.5m |
| 27 | BOU (H) | 90 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 6 | 0.3 | 0.2 | 0.5 | 0.7 | 0 | 0 | £5.5m |
| 28 | LIV (A) | 90 | 7 | 1 | 0 | 0 | 5 | 0 | 2 | 1 | 31 | 0.3 | 0.0 | 0.3 | 1.8 | 0 | 0 | £5.5m |
| 29 | FUL (A) | 87 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 13 | 0.1 | 0.0 | 0.1 | 0.8 | 0 | 0 | £5.5m |
| 30 | MCI (H) | 74 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 3 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0 | £5.5m |
| 31 | AVL (A) | 45 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0.1 | 0.0 | 0.1 | 1.1 | 0 | 0 | £5.5m |
| 32 | WOL (H) | 81 | 11 | 2 | 0 | 1 | 0 | 0 | 5 | 2 | 55 | 0.7 | 0.1 | 0.8 | 0.5 | 1 | 0 | £5.5m |
| 33 | CRY (A) | 83 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 9 | 0.3 | 0.0 | 0.3 | 0.6 | 0 | 0 | £5.5m |
| 34 | EVE (H) | 78 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 0 | 5 | 0.3 | 0.0 | 0.3 | 1.3 | 1 | 0 | £5.5m |
| 35 | BRE (A) | 64 | 1 | 0 | 0 | 0 | 2 | 0 | 5 | 0 | 0 | 0.4 | 0.1 | 0.5 | 2.1 | 1 | 0 | £5.5m |
| 36 | ARS (H) | 66 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 0 | 4 | 0.2 | 0.0 | 0.2 | 0.8 | 1 | 0 | £5.5m |
| 37 | NEW (A) | 64 | 6 | 1 | 0 | 0 | 1 | 0 | 5 | 0 | 28 | 0.5 | 0.0 | 0.5 | 0.9 | 0 | 0 | £5.5m |
| 38 | LEE (H) | 87 | 8 | 1 | 0 | 1 | 0 | 0 | 4 | 2 | 35 | 0.8 | 0.0 | 0.8 | 1.4 | 0 | 0 | £5.5m |
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
GW22–38: model expected 50 pts · he scored 59 (+9 vs expectation)