Jean-Ricner Bellegarde
Free kicks #4
2025/26 season archive
Bellegarde 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
26 games · 141 midfielders
Minutes and bonus
Where the points come from
78% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 49 earned, 44 net
Are the returns real?
His goals and assists are in line with the chances behind them — −0.1 against expectation over 1239 minutes.
Goals and assists minus xGI, per season. Positive means he finished above the chances he had.
Defensive Contribution
He averages 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 | MCI (H) | 72 | 2 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 5 | 0.0 | 0.0 | 0.1 | 2.2 | 0 | 0 | £5.5m |
| 2 | BOU (A) | 45 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 6 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £5.5m |
| 3 | EVE (H) | 26 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 0.1 | 0.1 | 0.1 | 0.2 | 0 | 0 | £5.5m |
| 4 | NEW (A) | 24 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0.1 | 0.0 | 0.1 | 0.2 | 0 | 0 | £5.4m |
| 5 | LEE (H) | 45 | 1 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 3 | 0.0 | 0.0 | 0.0 | 0.4 | 0 | 0 | £5.4m |
| 6 | TOT (A) | 26 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 8 | 0.1 | 0.0 | 0.1 | 0.1 | 0 | 0 | £5.3m |
| 7 | BHA (H) | 14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0.0 | 0.0 | 0.0 | 0.2 | 0 | 0 | £5.3m |
| 8 | SUN (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.3m |
| 9 | BUR (H) | 90 | 1 | 0 | 0 | 0 | 3 | 0 | 6 | 0 | 10 | 0.1 | 0.1 | 0.2 | 1.4 | 1 | 0 | £5.3m |
| 10 | FUL (A) | 63 | 2 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 11 | 0.1 | 0.1 | 0.2 | 0.6 | 0 | 0 | £5.2m |
| 11 | CHE (A) | 69 | 2 | 0 | 0 | 0 | 2 | 0 | 9 | 0 | 8 | 0.0 | 0.0 | 0.0 | 1.9 | 0 | 0 | £5.2m |
| 12 | CRY (H) | 24 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 8 | 0.0 | 0.1 | 0.1 | 0.4 | 0 | 0 | £5.2m |
| 13 | AVL (A) | 68 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 0 | 13 | 0.0 | 0.0 | 0.1 | 0.5 | 0 | 0 | £5.2m |
| 14 | NFO (H) | 66 | 3 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 6 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £5.2m |
| 15 | MUN (H) | 53 | 6 | 1 | 0 | 0 | 2 | 0 | 9 | 0 | 23 | 0.3 | 0.0 | 0.3 | 2.2 | 0 | 0 | £5.2m |
| 16 | ARS (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 17 | BRE (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 18 | LIV (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 19 | MUN (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 20 | WHU (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 21 | EVE (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.2m |
| 22 | NEW (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.1m |
| 23 | MCI (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.1m |
| 24 | BOU (H) | 19 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 10 | 0.0 | 0.0 | 0.0 | 0.9 | 0 | 0 | £5.1m |
| 25 | CHE (H) | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.6 | 0 | 0 | £5.1m |
| 26 | NFO (A) | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | -3 | 0.1 | 0.0 | 0.1 | 0.2 | 1 | 0 | £5.1m |
| 26 | ARS (H) | 83 | 1 | 0 | 0 | 0 | 2 | 0 | 7 | 0 | 8 | 0.0 | 0.0 | 0.0 | 1.7 | 1 | 0 | £5.1m |
| 27 | CRY (A) | 86 | 3 | 0 | 0 | 1 | 0 | 0 | 9 | 0 | 21 | 0.2 | 0.0 | 0.2 | 1.1 | 0 | 0 | £5.1m |
| 28 | AVL (H) | 80 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 8 | 0.0 | 0.0 | 0.0 | 0.6 | 1 | 0 | £5.1m |
| 29 | LIV (H) | 30 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0 | £5.1m |
| 30 | BRE (A) | 73 | 5 | 0 | 1 | 0 | 2 | 0 | 6 | 0 | 21 | 0.0 | 0.3 | 0.3 | 2.4 | 0 | 0 | £5.1m |
| 32 | WHU (A) | 60 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 3 | 0.0 | 0.0 | 0.0 | 1.1 | 1 | 0 | £5.1m |
| 33 | LEE (A) | 66 | 2 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 9 | 0.0 | 0.0 | 0.0 | 1.9 | 0 | 0 | £5.1m |
| 34 | TOT (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.1m |
| 35 | SUN (H) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.1m |
| 36 | BHA (A) | 23 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 0.0 | 0.1 | 0.1 | 0.5 | 0 | 0 | £5.1m |
| 37 | FUL (H) | 11 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0.0 | 0.0 | 0.0 | 0.1 | 0 | 0 | £5.1m |
| 38 | BUR (A) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | £5.1m |
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
GW12–35: model expected 20 pts · he scored 21 (+1 vs expectation)