Every player's next gameweek, in points.
Predicted points from each player's match record, checked against the world's top 50 managers. DEFCON detail included.
Updated GW 4 · 02:36
NFO · MID · £7.9mPredicted 5.7 pts next GW, form 6.5. Even run next.
IPS · FWD · £5.5mPredicted 5.6 pts, owned by 2% of the top 50 and 1.9% overall.
ARS · DEF · £4.5mOwned by 48% of the top 50, but P(start) is only 67%. Wait.
| # | Player | Pos | £m | Next 5 | |||||
|---|---|---|---|---|---|---|---|---|---|
 João Pedro CHE | FWD | 7.8 | 6.5 | 8.3 | 100%C 26% | 0.00 | 0.000 | ||
 Haaland MCI | FWD | 15.5 | 6.4 | 8.0 | 34% | 0.00 | 0.000 | ||
 CherkiMCI | MID | 7.8 | 6.3 | 8.3 | 2% | 0.16 | 0.021 | ||
| 4 |  B.Fernandes MUN | MID | 12.0 | 6.1 | 9.0 | 38% | 0.14 | 0.012 | |
| 5 |  Gakpo LIV | MID | 7.2 | 6.0 | 7.3 | 8% | 0.42 | 0.059 | |
| 6 |  GvardiolMCI | DEF | 5.6 | 5.9 | 7.3 | 10% | 0.30 | 0.054 | |
| 7 |  Tavernier BOU | MID | 6.0 | 5.7 | 7.3 | 26% | 0.12 | 0.020 | |
| 8 | Gibbs-WhiteNFO | MID | 7.9 | 5.7 | 6.5 | 32% | 0.12 | 0.015 | |
| 9 |  Tarkowski EVE | DEF | 6.0 | 5.6 | 7.3 | 32% | 0.76 | 0.127 | |
| 10 | EmersonnIPS | FWD | 5.5 | 5.6 | 6.0 | 2% | 0.00 | 0.000 | |
| 11 |  Elanga NEW | MID | 6.2 | 5.6 | 6.0 | 2% | 0.14 | 0.022 | |
| 12 |  RogersCHE | MID | 7.7 | 5.5 | 6.8 | 72% | 0.12 | 0.016 | |
| 13 |  GuéhiMCI | DEF | 6.0 | 5.5 | 6.7 | 4% | 0.30 | 0.050 | |
| 14 |  DavisIPS | DEF | 4.0 | 5.5 | 5.8 | 4% | 0.26 | 0.066 | |
| 15 |  SakaARS | MID | 9.5 | 5.4 | 7.5 | 20% | 0.12 | 0.013 | |
| 16 |  MbeumoMUN | MID | 7.9 | 5.4 | 7.0 | 22% | 0.14 | 0.018 | |
| 17 |  Schade BRE | MID | 6.0 | 5.4 | 7.5 | 22% | 0.12 | 0.020 | |
| 18 |  PalmerCHE | MID | 9.7 | 5.4 | 6.5 | 86%C 70% | 0.12 | 0.013 | |
| 19 |  HallNEW | DEF | 5.2 | 5.3 | 6.0 | 24% | 0.87 | 0.168 | |
| 20 |  Belloumi HUL | MID | 5.0 | 5.3 | 6.8 | 0% | 0.42 | 0.085 | |
| 21 |  ScottBOU | MID | 6.1 | 5.2 | 7.0 | 2% | 0.62 | 0.102 | |
| 22 |  IsakLIV | FWD | 9.1 | 5.2 | 6.3 | 46% | 0.00 | 0.000 | |
| 23 |  ØdegaardARS | MID | 6.7 | 5.1 | 6.8 | 6% | 0.12 | 0.018 | |
| 24 |  JaneltBRE | MID | 5.0 | 5.1 | 6.3 | 0% | 0.87 | 0.174 | |
| 25 |  BarnesNEW | MID | 6.0 | 5.0 | 5.7 | 10% | 0.14 | 0.023 | |
| 26 |  Mitchell CRY | DEF | 4.5 | 4.9 | 4.3 | 12% | 0.26 | 0.058 | |
| 27 |  Stach LEE | MID | 6.0 | 4.9 | 6.3 | 0% | 0.71 | 0.118 | |
| 28 |  MurilloNFO | DEF | 5.5 | 4.9 | 4.8 | 2% | 1.01 | 0.184 | |
| 29 |  M.SangaréBRE | MID | 5.7 | 4.9 | 5.5 | 4% | 1.00 | 0.175 | |
| 30 |  WissaNEW | FWD | 6.2 | 4.8 | 4.3 | 10% | 0.00 | 0.000 |
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Go premiumHow we compute this
Predicted points turn each player's own goals, assists, clean sheets, saves, bonus and defensive contribution into per-90 rates, shrink them toward league rates, and scale them by next-fixture difficulty and expected minutes. Top-50 own is how many of the world's 50 best managers hold the player right now. The DEFCON column keeps the defensive slice visible: hit probability times 2, from the last 5 matches (60%) blended with the season (40%).