Best Midfielders for Wildcard GW32
Position-specific wildcard shortlist for midfielders.
The top wildcard pick among midfielders for GW32 is Gibbs-White with a composite score of 42.3 and an average FDR of 2.83 over the next six fixtures. This page ranks the best midfielders to bring in on a wildcard chip, combining recent form, points per game, fixture difficulty, value, and start probability into a single score.
| Rank | Player | Club | Price | Next 3 | Avg FDR (6) | Form | Pts/G | Score | Detail |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Gibbs-White |
 NFO |
£7.4m |  AVL(H) BUR(H) SUN(A) |
2.83 | 10.0 | 4.7 | 42.3 | — |
| 2 |  Casemiro |
 MUN |
£5.7m |  LEE(H) CHE(A) BRE(H) |
2.67 | 7.0 | 4.8 | 37.1 | — |
| 3 |  B.Fernandes |
MUN |
£10.3m | LEE(H)CHE(A)BRE(H) |
2.67 | 5.0 | 6.6 | 36.0 | Open |
| 4 |  Okafor |
LEE |
£5.5m | MUN(A) WOL(H)- |
2.67 | 7.5 | 3.7 | 35.3 | — |
| 5 |  Dewsbury-Hall |
 EVE |
£5.1m | BRE(A) LIV(H) WHU(A) |
2.83 | 6.0 | 5.1 | 35.3 | — |
| 6 |  Rogers |
AVL |
£7.4m | NFO(A)SUN(H) FUL(A) |
2.50 | 6.3 | 4.6 | 35.2 | Open |
| 7 |  Cherki |
 MCI |
£6.4m | CHE(A)BUR(A)- |
3.17 | 6.7 | 4.4 | 34.0 | Open |
| 8 |  M.Salah |
LIV |
£14.0m | FUL(H)EVE(A) CRY(H) |
3.33 | 6.0 | 4.8 | 32.2 | Open |
| 9 |  Ndiaye |
EVE |
£6.2m | BRE(A)LIV(H)WHU(A) |
2.83 | 5.3 | 4.4 | 31.9 | — |
| 10 |  Wilson |
FUL |
£6.0m | LIV(A)BRE(A)AVL(H) |
3.33 | 4.7 | 5.1 | 31.5 | Open |
| 11 |  Wieffer |
 BHA |
£4.9m | BUR(A) TOT(A)- |
2.67 | 5.0 | 3.9 | 30.7 | — |
| 12 |  McGinn |
AVL |
£5.3m | NFO(A)SUN(H)FUL(A) |
2.50 | 5.3 | 3.4 | 30.5 | — |
| 13 |  Garner |
EVE |
£5.3m | BRE(A)LIV(H)WHU(A) |
2.83 | 4.0 | 4.4 | 29.9 | — |
| 14 |  E.Le Fée |
SUN |
£4.8m | TOT(H)AVL(A)NFO(H) |
2.67 | 4.3 | 3.9 | 29.8 | — |
| 15 |  Rice |
 ARS |
£7.2m |  BOU(H)MCI(A) NEW(H) |
2.83 | 3.0 | 5.3 | 29.3 | Open |
| 16 |  Anderson |
NFO |
£5.6m | AVL(H)BUR(H)SUN(A) |
2.83 | 3.7 | 4.4 | 29.2 | Open |
| 17 |  Gana |
EVE |
£5.4m | BRE(A)LIV(H)WHU(A) |
2.83 | 5.0 | 3.4 | 29.0 | — |
| 18 |  Cunha |
MUN |
£8.0m | LEE(H)CHE(A)BRE(H) |
2.67 | 4.0 | 4.2 | 29.0 | Open |
| 19 |  Szoboszlai |
LIV |
£7.1m | FUL(H)EVE(A)CRY(H) |
3.33 | 4.3 | 4.3 | 28.6 | Open |
| 20 |  Groß |
BHA |
£5.5m | BUR(A)TOT(A)- |
2.67 | 4.0 | 4.1 | 28.4 | — |
| 21 |  Diarra |
SUN |
£5.3m | TOT(H)AVL(A)NFO(H) |
2.67 | 4.3 | 3.7 | 28.3 | — |
| 22 |  Xhaka |
SUN |
£5.1m | TOT(H)AVL(A)NFO(H) |
2.67 | 3.7 | 3.7 | 27.8 | — |
| 23 |  Gakpo |
LIV |
£7.3m | FUL(H)EVE(A)CRY(H) |
3.33 | 4.3 | 3.8 | 27.4 | — |
| 24 |  Scott |
BOU |
£5.1m | ARS(A)LEE(H)- |
3.67 | 4.3 | 3.7 | 27.1 | — |
| 25 |  Sangaré |
NFO |
£4.9m | AVL(H)BUR(H)SUN(A) |
2.83 | 4.0 | 3.3 | 27.0 | — |
| 26 |  Aaronson |
LEE |
£5.4m | MUN(A)WOL(H)- |
2.67 | 3.2 | 3.7 | 26.9 | — |
| 27 |  Gordon |
NEW |
£7.4m | CRY(A)BOU(H)ARS(A) |
3.17 | 4.3 | 3.9 | 26.7 | — |
| 28 |  Xavi |
TOT |
£6.5m | SUN(A)BHA(H)WOL(A) |
2.83 | 4.3 | 2.9 | 26.4 | — |
| 29 |  André |
WOL |
£5.2m | WHU(A)LEE(A)TOT(H) |
2.67 | 4.0 | 2.8 | 26.3 | — |
| 30 |  Schade |
BRE |
£7.0m | EVE(H)FUL(H)MUN(A) |
3.33 | 3.7 | 3.7 | 25.9 | — |
| 31 |  Ayari |
BHA |
£4.8m | BUR(A)TOT(A)- |
2.67 | 2.8 | 3.7 | 25.9 | — |
| 32 |  Ampadu |
LEE |
£4.9m | MUN(A)WOL(H)- |
2.67 | 2.8 | 3.6 | 25.9 | — |
| 33 |  Semenyo |
MCI |
£8.2m | CHE(A)BUR(A)- |
3.17 | 1.3 | 5.7 | 25.7 | Open |
| 34 |  King |
FUL |
£4.4m | LIV(A)BRE(A)AVL(H) |
3.33 | 5.0 | 2.2 | 25.5 | — |
| 35 |  Talbi |
SUN |
£4.9m | TOT(H)AVL(A)NFO(H) |
2.67 | 3.3 | 3.1 | 25.4 | — |
| 36 |  Mbeumo |
MUN |
£8.5m | LEE(H)CHE(A)BRE(H) |
2.67 | 2.0 | 4.5 | 25.4 | Open |
| 37 |  Wirtz |
LIV |
£8.3m | FUL(H)EVE(A)CRY(H) |
3.33 | 3.3 | 3.9 | 25.3 | Open |
| 38 |  Gomez |
BHA |
£4.9m | BUR(A)TOT(A)- |
2.67 | 3.0 | 3.2 | 25.3 | — |
| 39 |  Onana |
AVL |
£4.8m | NFO(A)SUN(H)FUL(A) |
2.50 | 3.0 | 3.1 | 25.1 | — |
| 40 |  Tavernier |
BOU |
£5.4m | ARS(A)LEE(H)- |
3.67 | 3.0 | 4.1 | 25.0 | — |
How This Works
Each midfielder is scored using a weighted composite formula: form (2.05x), points per game (1.95x), fixture difficulty over 6 gameweeks (2.2x), value efficiency (0.08x), and start probability (0.04x). Lower average FDR means easier upcoming fixtures. The score helps identify midfielders who combine strong recent output with a favourable fixture run, making them ideal wildcard targets.