FPL Gameweek 4 transfer targets
The player the FPLXI model rates highest for Gameweek 4 was Igor Thiago Nascimento Rodrigues (BRE, £7.8m) on 6.3 projected points. Next come Carl Rushworth (6.2) and Dominic Calvert-Lewin (6.1) . This list is the top five in each position for the gameweek, ranked by projected points, so a manager weak in one position can find the best option there. Whether any of them is worth a transfer depends on the squad they would join.
Predictions updated Sat 12 Sep, 07:00Transfer targets, Gameweek 4
| Player | Fixture | Price | Owned | Projected points | Actual |
|---|---|---|---|---|---|
| 1 BRE Igor Thiago Nascimento Rodrigues FWD BOU (A) · £7.8m · 8.8% | BOU (A) | £7.8m | 8.8% | 6.3 | 1 |
| 2 COV Carl Rushworth GK BHA (H) · £4.5m · 0.9% | BHA (H) | £4.5m | 0.9% | 6.2 | 0 |
| 3 LEE Dominic Calvert-Lewin FWD NEW (H) · £6.1m · 23.6% | NEW (H) | £6.1m | 23.6% | 6.1 | 10 |
| 4 MCI Gianluigi Donnarumma GK MUN (A) · £5.5m · 7.7% | MUN (A) | £5.5m | 7.7% | 6.0 | 7 |
| 5 BOU Đorđe Petrović GK BRE (H) · £4.5m · 2.8% | BRE (H) | £4.5m | 2.8% | 6.0 | 1 |
| 6 MCI Erling Haaland FWD MUN (A) · £15.7m · 77.0% | MUN (A) | £15.7m | 77.0% | 6.0 | 9 |
| 7 BHA Diego Gómez Amarilla MID COV (A) · £5.0m · 3.9% | COV (A) | £5.0m | 3.9% | 6.0 | 3 |
| 8 ARS Gabriel dos Santos Magalhães DEF SUN (A) · £7.9m · 21.1% | SUN (A) | £7.9m | 21.1% | 5.9 | 9 |
| 9 CHE João Pedro Junqueira de Jesus FWD HUL (H) · £7.9m · 73.1% | HUL (H) | £7.9m | 73.1% | 5.7 | 12 |
| 10 FUL Bernd Leno GK LIV (A) · £4.5m · 4.3% | LIV (A) | £4.5m | 4.3% | 5.6 | 9 |
| 11 CRY Tyrick Mitchell DEF IPS (H) · £4.5m · 5.6% | IPS (H) | £4.5m | 5.6% | 5.4 | 1 |
| 12 CHE Cole Palmer MID HUL (H) · £9.7m · 27.0% | HUL (H) | £9.7m | 27.0% | 5.4 | 5 |
| 13 CRY Chris Richards DEF IPS (H) · £4.9m · 0.6% | IPS (H) | £4.9m | 0.6% | 5.3 | 2 |
| 14 LIV Alexander Isak FWD FUL (H) · £9.0m · 13.3% | FUL (H) | £9.0m | 13.3% | 5.2 | 2 |
| 15 LIV Florian Wirtz MID FUL (H) · £7.2m · 5.1% | FUL (H) | £7.2m | 5.1% | 5.1 | 3 |
| 16 EVE Jordan Pickford GK TOT (A) · £5.5m · 8.7% | TOT (A) | £5.5m | 8.7% | 5.1 | 6 |
| 17 ARS Bukayo Saka MID SUN (A) · £9.6m · 15.1% | SUN (A) | £9.6m | 15.1% | 5.0 | 8 |
| 18 LIV Dominik Szoboszlai MID FUL (H) · £6.8m · 18.3% | FUL (H) | £6.8m | 18.3% | 4.9 | 3 |
| 19 CHE Maxence Lacroix DEF HUL (H) · £5.9m · 6.3% | HUL (H) | £5.9m | 6.3% | 4.7 | 1 |
| 20 AVL Ian Maatsen DEF NFO (H) · £4.4m · 0.3% | NFO (H) | £4.4m | 0.3% | 4.6 | 1 |
What the FPLXI model considers
Position-specific models trained on five seasons of Premier League data, backtested on a season they never saw. Every figure on this page is model output, written by batch inference before the deadline and never rewritten afterwards.
- Underlying performance: goal threat, chance creation, defensive contribution and save volume, measured per 90 against positional peers.
- Expected minutes: the single biggest driver of points, read from recent starts, rotation and injury news.
- Opponent and venue: attacking and defensive strength of the opposition, home or away, for every fixture in the gameweek.
- Market signals: price, ownership and transfer flow, used as evidence rather than as an instruction.
The model predicts, a deterministic optimiser decides, and language models only explain the decision afterwards. See the published accuracy record
Which of these should you actually make in Gameweek 4?
This page is the model's view of the league. Analyse your own squad and it will rank the moves that gain you the most points from where you are: the transfer worth making, who to captain from the players you own, and the bench order.
Free, no card needed. Or upload a squad screenshot from the home page.
FPLXI is an independent tool and is not affiliated with, or endorsed by, the Premier League or the official Fantasy Premier League game. Every score, rank and projection on this page is FPLXI model output.