Best Midfielders for Wildcard GW34
Position-specific wildcard shortlist for midfielders.
The top wildcard pick among midfielders for GW34 is B.Fernandes with a composite score of 24.0 and an average FDR of 3.67 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 |  B.Fernandes |
 MUN |
£10.4m |  BRE(H) LIV(H) SUN(A) |
3.67 | 0.0 | 6.7 | 24.0 | — |
| 2 |  Rice |
 ARS |
£7.2m |  NEW(H) FUL(H) WHU(A) |
2.83 | 0.0 | 5.1 | 23.0 | — |
| 3 |  Saka |
ARS |
£10.0m | NEW(H)FUL(H)WHU(A) |
2.83 | 0.0 | 5.1 | 22.2 | — |
| 4 |  Semenyo |
 MCI |
£8.0m | - EVE(A)BRE(H) |
3.67 | 0.0 | 5.5 | 21.9 | — |
| 5 |  Dewsbury-Hall |
EVE |
£5.3m | WHU(A)MCI(H) CRY(A) |
3.33 | 0.0 | 4.9 | 21.7 | — |
| 6 |  Bruno G. |
NEW |
£6.9m | ARS(A) BHA(H) NFO(A) |
3.50 | 0.0 | 5.3 | 21.6 | — |
| 7 |  Stach |
 LEE |
£4.8m | - BUR(H) TOT(A) |
3.33 | 0.0 | 4.7 | 21.3 | — |
| 8 |  Gibbs-White |
NFO |
£7.6m | SUN(A) CHE(A)NEW(H) |
3.67 | 0.0 | 5.1 | 21.1 | — |
| 9 |  Wilson |
FUL |
£5.8m |  AVL(H)ARS(A) BOU(H) |
3.50 | 0.0 | 4.7 | 21.0 | — |
| 10 |  Casemiro |
MUN |
£5.8m | BRE(H)LIV(H)SUN(A) |
3.67 | 0.0 | 4.9 | 21.0 | — |
| 11 |  Anderson |
NFO |
£5.7m | SUN(A)CHE(A)NEW(H) |
3.67 | 0.0 | 4.7 | 20.8 | — |
| 12 |  Garner |
EVE |
£5.2m | WHU(A)MCI(H)CRY(A) |
3.33 | 0.0 | 4.2 | 20.5 | — |
| 13 |  E.Le Fée |
SUN |
£4.8m | NFO(H) WOL(A)MUN(H) |
3.33 | 0.0 | 4.1 | 20.3 | — |
| 14 |  Zubimendi |
ARS |
£4.9m | NEW(H)FUL(H)WHU(A) |
2.83 | 0.0 | 3.5 | 20.0 | — |
| 15 |  Rogers |
AVL |
£7.3m | FUL(A)TOT(H)BUR(A) |
3.67 | 0.0 | 4.6 | 20.0 | — |
| 16 |  Trossard |
ARS |
£6.6m | NEW(H)FUL(H)WHU(A) |
2.83 | 0.0 | 3.8 | 19.8 | — |
| 17 |  Szoboszlai |
LIV |
£7.1m | CRY(H)MUN(A)CHE(H) |
3.67 | 0.0 | 4.4 | 19.5 | — |
| 18 |  Ampadu |
LEE |
£4.9m | -BUR(H)TOT(A) |
3.33 | 0.0 | 3.8 | 19.5 | — |
| 19 |  Mbeumo |
MUN |
£8.3m | BRE(H)LIV(H)SUN(A) |
3.67 | 0.0 | 4.5 | 19.3 | — |
| 20 |  Ndiaye |
EVE |
£6.3m | WHU(A)MCI(H)CRY(A) |
3.33 | 0.0 | 4.0 | 19.3 | — |
| 21 |  Enzo |
CHE |
£6.5m | -NFO(H)LIV(A) |
3.83 | 0.0 | 4.4 | 19.3 | — |
| 22 |  M.Fernandes |
WHU |
£5.5m | EVE(H)BRE(A)ARS(H) |
3.33 | 0.0 | 3.8 | 19.2 | — |
| 23 |  J.Palhinha |
TOT |
£5.5m | WOL(A)AVL(A)LEE(H) |
3.33 | 0.0 | 3.8 | 19.1 | — |
| 24 |  Gravenberch |
LIV |
£5.4m | CRY(H)MUN(A)CHE(H) |
3.67 | 0.0 | 4.0 | 19.1 | — |
| 25 |  Okafor |
LEE |
£5.5m | -BUR(H)TOT(A) |
3.33 | 0.0 | 3.9 | 19.1 | — |
| 26 |  Cunha |
MUN |
£8.1m | BRE(H)LIV(H)SUN(A) |
3.67 | 0.0 | 4.3 | 18.9 | — |
| 27 |  O.Dango |
BRE |
£5.6m | MUN(A)WHU(H)MCI(A) |
3.83 | 0.0 | 4.2 | 18.9 | — |
| 28 |  Eze |
ARS |
£7.3m | NEW(H)FUL(H)WHU(A) |
2.83 | 0.0 | 3.4 | 18.8 | — |
| 29 |  Xhaka |
SUN |
£5.1m | NFO(H)WOL(A)MUN(H) |
3.33 | 0.0 | 3.6 | 18.8 | — |
| 30 |  M.Salah |
LIV |
£14.0m | CRY(H)MUN(A)CHE(H) |
3.67 | 0.0 | 4.6 | 18.8 | — |
| 31 |  Cherki |
MCI |
£6.5m | -EVE(A)BRE(H) |
3.67 | 0.0 | 4.1 | 18.8 | — |
| 32 |  Sarr |
CRY |
£6.4m | LIV(A)BOU(A)EVE(H) |
3.67 | 0.0 | 4.2 | 18.8 | — |
| 33 |  Grealish |
EVE |
£6.3m | WHU(A)MCI(H)CRY(A) |
3.33 | 0.0 | 4.0 | 18.7 | — |
| 34 |  Tavernier |
BOU |
£5.3m | -CRY(H)FUL(A) |
3.83 | 0.0 | 4.0 | 18.6 | — |
| 35 |  Groß |
BHA |
£5.6m | -NEW(A)WOL(H) |
3.50 | 0.0 | 4.1 | 18.6 | — |
| 36 |  Rayan |
BOU |
£5.4m | -CRY(H)FUL(A) |
3.83 | 0.0 | 4.5 | 18.5 | — |
| 37 |  Doku |
MCI |
£6.5m | -EVE(A)BRE(H) |
3.67 | 0.0 | 4.0 | 18.4 | — |
| 38 |  Kudus |
TOT |
£6.4m | WOL(A)AVL(A)LEE(H) |
3.33 | 0.0 | 3.9 | 18.4 | — |
| 39 |  Aaronson |
LEE |
£5.4m | -BUR(H)TOT(A) |
3.33 | 0.0 | 3.4 | 18.4 | — |
| 40 |  Summerville |
WHU |
£5.4m | EVE(H)BRE(A)ARS(H) |
3.33 | 0.0 | 3.5 | 18.3 | — |
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.