FPLHERMESGameweek preview · 2026/27
FPL Gameweek 10 predictions: captain picks, transfers & differentials
Every fixture simulated 500 times for 671 players — expected points with a floor and a ceiling. Updated Sun, 08 Nov 2026 18:30:05 GMT.
- GW10
- gameweek
- 6.6
- top projection
- 671
- players simulated
- 500
- sims per fixture
Captain picks — Gameweek 10
Ødegaard (ARS vs HUL) leads on 6.62 xPts, 75% chance of 60+ minutes.
- Ødegaard6.6xPts
ARS vs HUL · 75% to play 60'
floor 1.0ceiling 9.0 - Groß6.3xPts
BHA vs BRE · 85% to play 60'
floor 1.0ceiling 10.0 - Gabriel6.2xPts
ARS vs HUL · 86% to play 60'
floor 1.0ceiling 9.0 - Rúben5.3xPts
MCI @ NFO · 86% to play 60'
floor 1.0ceiling 6.0 - Rice5.3xPts
ARS vs HUL · 66% to play 60'
floor 0.0ceiling 6.0
Clean sheet odds
- Gabriel · ARS62%
- Calafiori · ARS62%
- Raya · ARS62%
- Konsa · ARS62%
- J.Timber · ARS62%
Differentials under 10% owned
- Rúben MCI · DEF · £5.5m · 2.0% owned5.34 xPts
- E.Le Fée SUN · MID · £5.7m · 2.6% owned4.88 xPts
- Wirtz LIV · MID · £7.2m · 5.2% owned4.87 xPts
- Barcola LIV · MID · £8.1m · 4.4% owned4.80 xPts
- Iwobi FUL · MID · £5.4m · 1.5% owned4.76 xPts
Who to buy — Gameweek 10 transfer targets
Most projected points per £1m among players likely to play 60+ minutes.
- Rúben DEF · MCI @ NFO · £5.5m5.34 xPts
- Bassey DEF · FUL vs NEW · £4.5m4.26 xPts
- Affengruber DEF · FUL vs NEW · £4.5m4.23 xPts
- Groß MID · BHA vs BRE · £6.3m6.30 xPts
- Ødegaard MID · ARS vs HUL · £6.7m6.62 xPts
- Iwobi MID · FUL vs NEW · £5.4m4.76 xPts
- Barry FWD · EVE vs COV · £5.7m3.91 xPts
- Zirkzee FWD · MUN vs AVL · £5.3m3.36 xPts
- Wissa FWD · NEW @ FUL · £5.9m3.45 xPts
FPL Gameweek 10 predicted points — top 25
| Player | Fixture | £m | xPts |
|---|---|---|---|
| Ødegaard MID | ARS vs HUL | 6.7 | 6.62 |
| Groß MID | BHA vs BRE | 6.3 | 6.30 |
| Gabriel DEF | ARS vs HUL | 8.1 | 6.22 |
| Rúben DEF | MCI @ NFO | 5.5 | 5.34 |
| Rice MID | ARS vs HUL | 7.5 | 5.30 |
| B.Fernandes MID | MUN vs AVL | 11.6 | 5.08 |
| Mbeumo MID | MUN vs AVL | 7.9 | 4.89 |
| E.Le Fée MID | SUN vs CHE | 5.7 | 4.88 |
| Wirtz MID | LIV @ CRY | 7.2 | 4.87 |
| Barcola MID | LIV @ CRY | 8.1 | 4.80 |
| Iwobi MID | FUL vs NEW | 5.4 | 4.76 |
| Mac Allister MID | LIV @ CRY | 5.4 | 4.76 |
| Dewsbury-Hall MID | EVE vs COV | 6.6 | 4.75 |
| Neto MID | CHE @ SUN | 6.6 | 4.67 |
| Enciso MID | IPS vs BOU | 5.5 | 4.61 |
| Ampadu MID | LEE vs TOT | 5.3 | 4.54 |
| Garner MID | EVE vs COV | 6.0 | 4.54 |
| Cherki MID | MCI @ NFO | 7.9 | 4.53 |
| Calafiori DEF | ARS vs HUL | 5.9 | 4.48 |
| Palmer MID | CHE @ SUN | 9.8 | 4.44 |
| Tavernier MID | BOU @ IPS | 6.7 | 4.35 |
| Bassey DEF | FUL vs NEW | 4.5 | 4.26 |
| Gomez MID | BHA vs BRE | 5.0 | 4.24 |
| Affengruber DEF | FUL vs NEW | 4.5 | 4.23 |
| Raya GK | ARS vs HUL | 6.2 | 4.18 |
Want this for your own team?
Upload a screenshot of your squad and get who to sell, who to buy and why — based on your money in the bank and free transfers.
start 3-day trialHow these numbers are produced
Minutes are sampled per player, team goals drawn from a Poisson process from attack and defence strength, then goals, assists, saves, cards and bonus allocated under official FPL scoring. xPts is the mean of 500 simulations; floor and ceiling are the 10th and 90th percentiles. See the method or the FAQ.