Hugo Bueno López
Corners #1
2025/26 season archive
H.Bueno 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
35 games · 119 defenders
Minutes and bonus
He is a different player by venue. 3.35 per game at home (17), 1.44 away (18).
Where the points come from
59% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 100 earned, 83 net
Are the returns real?
His goals and assists are in line with the chances behind them — −0.3 against expectation over 2359 minutes.
Goals and assists minus xGI, per season. Positive means he finished above the chances he had.
Defensive Contribution
He averages 4.9 against a line of 10, so DefCon is not a realistic source of points for him.
Against each level of opponent
He scores 1.8 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 | MCI (H) | 18 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.2 | 0 | 0 | £4.5m |
| 2 | BOU (A) | 45 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0.1 | 0.1 | 0.2 | 0.6 | 1 | 0 | £4.5m |
| 3 | EVE (H) | 74 | 1 | 0 | 0 | 0 | 3 | 0 | 9 | 0 | 6 | 0.0 | 0.0 | 0.0 | 1.8 | 0 | 0 | £4.5m |
| 4 | NEW (A) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 11 | 0 | 11 | 0.0 | 0.1 | 0.1 | 1.6 | 0 | 0 | £4.5m |
| 5 | LEE (H) | 45 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 0.0 | 0.3 | 0.3 | 0.1 | 0 | 0 | £4.4m |
| 6 | TOT (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 0 | 16 | 0.1 | 0.0 | 0.1 | 0.9 | 0 | 0 | £4.4m |
| 7 | BHA (H) | 76 | 8 | 0 | 0 | 1 | 0 | 0 | 4 | 2 | 23 | 0.0 | 0.2 | 0.2 | 0.9 | 0 | 0 | £4.4m |
| 8 | SUN (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 9 | 0.0 | 0.3 | 0.3 | 0.7 | 0 | 0 | £4.4m |
| 9 | BUR (H) | 84 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 10 | 0.1 | 0.1 | 0.2 | 1.1 | 0 | 0 | £4.4m |
| 10 | FUL (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 6 | 0 | -4 | 0.0 | 0.0 | 0.0 | 1.4 | 0 | 0 | £4.4m |
| 11 | CHE (A) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 6 | 0 | -2 | 0.0 | 0.0 | 0.0 | 3.3 | 0 | 0 | £4.4m |
| 12 | CRY (H) | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £4.4m |
| 13 | AVL (A) | 13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £4.4m |
| 14 | NFO (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.4m |
| 15 | MUN (H) | 20 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | -3 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0 | £4.4m |
| 16 | ARS (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.4m |
| 17 | BRE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £4.3m |
| 18 | LIV (A) | 61 | 1 | 0 | 0 | 0 | 2 | 0 | 5 | 0 | 1 | 0.0 | 0.0 | 0.0 | 1.2 | 0 | 0 | £4.3m |
| 19 | MUN (A) | 90 | 5 | 0 | 1 | 0 | 1 | 0 | 5 | 0 | 15 | 0.1 | 0.0 | 0.1 | 0.8 | 0 | 0 | £4.3m |
| 20 | WHU (H) | 90 | 11 | 0 | 1 | 1 | 0 | 0 | 5 | 2 | 40 | 0.0 | 0.1 | 0.1 | 0.3 | 0 | 0 | £4.3m |
| 21 | EVE (A) | 90 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 19 | 0.1 | 0.3 | 0.3 | 0.9 | 0 | 0 | £4.3m |
| 22 | NEW (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 9 | 0 | 25 | 0.1 | 0.0 | 0.1 | 0.9 | 0 | 0 | £4.3m |
| 23 | MCI (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 8 | 0.0 | 0.1 | 0.1 | 0.9 | 0 | 0 | £4.3m |
| 24 | BOU (H) | 88 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 9 | 0.0 | 0.2 | 0.2 | 0.6 | 0 | 0 | £4.3m |
| 25 | CHE (H) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 7 | 0 | 1 | 0.0 | 0.2 | 0.3 | 3.4 | 0 | 0 | £4.3m |
| 26 | NFO (A) | 59 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 10 | 0.0 | 0.0 | 0.0 | 1.5 | 0 | 0 | £4.3m |
| 26 | ARS (H) | 90 | 7 | 1 | 0 | 0 | 2 | 0 | 5 | 0 | 27 | 0.0 | 0.0 | 0.1 | 1.9 | 0 | 0 | £4.3m |
| 27 | CRY (A) | 90 | 4 | 0 | 0 | 0 | 1 | 0 | 14 | 0 | 16 | 0.0 | 0.4 | 0.4 | 2.0 | 0 | 0 | £4.3m |
| 28 | AVL (H) | 90 | 6 | 0 | 0 | 1 | 0 | 0 | 7 | 0 | 26 | 0.0 | 0.0 | 0.0 | 1.0 | 0 | 0 | £4.3m |
| 29 | LIV (H) | 11 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | -1 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £4.3m |
| 30 | BRE (A) | 90 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 6 | 0.0 | 0.2 | 0.2 | 2.6 | 0 | 0 | £4.3m |
| 32 | WHU (A) | 90 | 0 | 0 | 0 | 0 | 4 | 0 | 7 | 0 | 1 | 0.1 | 0.0 | 0.1 | 2.4 | 0 | 0 | £4.3m |
| 33 | LEE (A) | 90 | 0 | 0 | 0 | 0 | 3 | 0 | 5 | 0 | -4 | 0.0 | 0.1 | 0.1 | 2.8 | 1 | 0 | £4.3m |
| 34 | TOT (H) | 90 | 3 | 0 | 0 | 0 | 1 | 0 | 12 | 0 | 12 | 0.1 | 0.1 | 0.3 | 0.9 | 1 | 0 | £4.3m |
| 35 | SUN (H) | 77 | 5 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 23 | 0.1 | 0.3 | 0.4 | 0.6 | 0 | 0 | £4.3m |
| 36 | BHA (A) | 45 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 0 | -5 | 0.0 | 0.0 | 0.0 | 0.8 | 0 | 0 | £4.3m |
| 37 | FUL (H) | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £4.3m |
| 38 | BUR (A) | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.1 | 0.0 | 0.1 | 0.4 | 0 | 0 | £4.3m |
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 58 pts · he scored 49 (−9 vs expectation)