GW95d 15h 13m

Analytics Dashboard

What do I check before the deadline?

This week

GW9 deadline Sat 31 Oct, 11:00 UTC

GW95d 15h 13m

2026/27 data as of GW7 · FPL data refreshed daily. GW8 is not finished, so its points can still change.

Flags that changed in the last 3 daysplayers owned by more than 5%

  • João PedroFWD · CHE · £7.9m · 73.1% ownedUnspecified injury - 75% chance of playingFit → 75%today
  • CalafioriDEF · ARS · £6.0m · 54.2% ownedHip injury - 75% chance of playingFit → 75%today
  • Calvert-LewinFWD · LEE · £6.1m · 22.0% ownedFoot injury - 50% chance of playingFit → 50%yesterday
  • ThomasDEF · COV · £4.0m · 9.7% ownedUnspecified injury - 75% chance of playingFit → 75%today
  • SakaMID · ARS · £9.5m · 9.6% ownedThigh injury - Unknown return date50% → 0%yesterday
  • O'ReillyDEF · MCI · £6.3m · 8.7% owned75% → Fityesterday
  • N.WilliamsDEF · NFO · £5.0m · 6.2% ownedArm injury - 75% chance of playingFit → 75%yesterday

Price rises and falls: the official Price Changes page ↗ predicts them and refreshes every 15 minutes. We don’t copy it.

Source: FPL status and chance-of-playing flags, kept as a daily snapshot by us since 19 Aug 2026; latest snapshot 25 Oct. Deadline: FPL fixtures calendar.

Who do I captain?

Captain shortlist

Live Season 2026/27

Top six available players by forecast points for GW9. Evidence, not a pick: read the fixture, the minutes and the range, then decide.

PlayerxPFixtureStartsAvg min6+ ptsTop 1 in 10PriceOwned
RogersMID · CHE9.05 of 58850%12£8.0m49.9%
De CuyperDEF · BHA6.85 of 58341%9£5.3m42.5%
PalmerMID · CHE6.85 of 58949%12£9.8m28.2%
NetoMID · CHE6.85 of 58546%12£6.6m3.7%
MbeumoMID · MUN6.75 of 59026%8£7.9m22.0%
GroßMID · BHA6.45 of 58639%10£6.2m46.6%

Source: validated model forecast for GW9, run 25 Oct. Starts and minutes: FPL fixture stats, finished fixtures only, to GW7. 6+ points and top 1 in 10: our simulator. Fixtures: FPL fixture list.

Point Potential

Last Season 2025/26Worked example: gameweek 30
Position
44 players

Highest ceiling

Chance of scoring 6+ points, ranked

PlayerChance of 6+

Chance of hitting any score2025/26

0%25%50%75%100%chance of scoring at least this many13579111315points scored (at least)a returning week

Is my flagged player going to play?

Will he play?

What each flag has meant this season

Regular starters whose last flag before a deadline was this level, GW2 to GW7: how many then played, and how many started.

  • 0% 0 of 55 played (0%), 0 started (0%)
  • 25% 2 of 6 played (33%), 2 started (33%)
  • 50% 1 of 3 played (33%), 0 started (0%), thin
  • 75% 26 of 48 played (54%), 21 started (44%)
Flagged, owned 2%+FlagNews ageAt this flagLast 5PriceOwnedSame price, higher xPFPL's news
João PedroFWD · CHE75%1d26 of 48 played (54%)21 started (44%)4 of 5£7.9m73.1%–Unspecified injury - 75% chance of playing
CalafioriDEF · ARS75%1d26 of 48 played (54%)21 started (44%)5 of 5£6.0m54.2%–Hip injury - 75% chance of playing
Calvert-LewinFWD · LEE50%2d1 of 3 played (33%)0 started (0%), thin5 of 5£6.1m22.0%Barry £5.7m, 5.9 xP · Kostoulas £5.8m, 4.3 xPFoot injury - 50% chance of playing
SzoboszlaiMID · LIV0%8d0 of 55 played (0%)0 started (0%)4 of 5£6.7m15.8%Neto £6.6m, 6.8 xP · Groß £6.2m, 6.4 xPHamstring injury - Unknown return date
ThomasDEF · COV75%1d26 of 48 played (54%)21 started (44%)5 of 5£4.0m9.7%Ajer £4.5m, 5.5 xPUnspecified injury - 75% chance of playing
SakaMID · ARS0%3d0 of 55 played (0%)0 started (0%)5 of 5£9.5m9.6%Palmer £9.8m, 6.8 xPThigh injury - Unknown return date
SemenyoMID · MCI0%8d0 of 55 played (0%)0 started (0%)4 of 5£8.2m8.3%Rogers £8.0m, 9.0 xP · Mbeumo £7.9m, 6.7 xPKnee injury - Unknown return date
N.WilliamsDEF · NFO75%1d26 of 48 played (54%)21 started (44%)5 of 5£5.0m6.2%De Cuyper £5.3m, 6.8 xP · Vuskovic £5.1m, 6.1 xPArm injury - 75% chance of playing

Source: FPL flags as our daily snapshots (since 19 Aug) against FPL fixture stats, finished fixtures only, to GW7. The flag is the last snapshot before each deadline. A regular starter had started at least half his team’s earlier matches. A case is one player in one gameweek. “Thin” is fewer than 5 cases. Alternatives: forecast xP for GW9. Current flags and ownership: FPL.

Whose fixtures are about to turn?

Fixture Swings

Live Season 2026/27

Next five: GW9–13 against the last five: GW4–8.

ClubSwingLast 5Next 5Next 5 fixturesMost owned
=1BOUBournemouth−0.803.602.80LEEHIPSANFOHFULABHAHTavernier £6.3m 14% · Evanilson £6.2m 6%
=1TOTSpurs−0.803.202.40CRYHLEEAIPSHSUNAFULHDubravka £4.0m 16% · Kinsky £4.4m 15%
=3IPSIpswich Town−0.603.202.60HULABOUHTOTAAVLHCOVADiop £3.9m 11% · Davis £4.0m 7%
=3SUNSunderland−0.603.603.00COVACHEHAVLATOTHLIVABrobbey £5.7m 5% · Xhaka £5.4m 3%
5AVLAston Villa−0.403.202.80FULHMUNASUNHIPSAEVEHN.Jackson £6.7m 6% · Cash £4.3m 4%
=6COVCoventry City−0.202.802.60SUNHEVEACRYHLEEAIPSHThomas £4.0m 10% · van Ewijk £3.9m 7%
=6EVEEverton−0.203.203.00NEWACOVHBREALIVHAVLATarkowski £6.2m 18% · Pickford £5.5m 9%
=6LEELeeds−0.203.403.20BOUATOTHCHEACOVHMCIACalvert-Lewin £6.1m 22% · Bogle £4.7m 11%
=9ARSArsenal0.003.203.20LIVAHULHNEWAMCIHBREACalafiori £6.0m 54% · Raya £6.2m 46%
=9CRYCrystal Palace0.003.003.00TOTALIVHCOVAHULHCHEAHughes £4.3m 6% · Mitchell £4.5m 6%

The full grid, every club and every gameweek to the end of the season: official Fixtures page, FDR tab ↗

Source: FPL fixture list and its difficulty ratings (1 easiest, 5 hardest), read 25 Oct. A rank with = in front (=3) is a tie: those clubs share a swing at two decimals, and club name only sets the order within it.

Is his form real, or luck?

Luck against skill

Last Season 2025/26Updates with season start

Most above their xG and xA

PlayerGapG − xGA − xAPriceOwnedMin
B.FernandesMID · MUN+9.9−1.89 v 10.8+11.724 v 12.3£10.4m25.8%3065
BowenFWD · WHU+9.6+1.89 v 7.2+7.813 v 5.2£7.8m17.5%3406
SemenyoMID · MCI+8.8+5.917 v 11.1+2.96 v 3.1£8.0m8.3%3200
WilsonMID · FUL+8.4+4.110 v 5.9+4.29 v 4.8£5.8m1.2%2674
João PedroFWD · CHE+7.1+0.115 v 14.9+7.09 v 2.0£7.4m73.1%2658
RogersMID · AVL+6.8+3.210 v 6.8+3.78 v 4.3£7.3m49.9%3280

Most below their xG and xA

PlayerGapG − xGA − xAPriceOwnedMin
YeremyMID · CRY−6.7−2.52 v 4.5−4.12 v 6.1£5.8m0.3%2074
BrooksMID · BOU−5.2−4.81 v 5.8−0.43 v 3.4£5.0m0.0%1188
GudmundssonDEF · LEE−4.0−1.10 v 1.1−2.90 v 2.9£3.8m0.1%2637
MatetaFWD · CRY−3.7−2.412 v 14.4−1.30 v 1.3£7.6m1.2%2210
EnzoMID · CHE−3.5−1.310 v 11.3−2.35 v 7.3£6.5m3.9%3114
JensenMID · BRE−3.3+0.83 v 2.2−4.12 v 6.1£4.9m0.1%2239

Source: FPL season totals for 2025/26: goals, assists, xG and xA, 38 gameweeks played. Players with 900+ minutes, goalkeepers left out. Expected figures are FPL’s own. Green is above expectation, red below.

Points against the model

Last Season 2025/26Updates with season start
◄ BELOW EXPECTEDABOVE EXPECTED ►Haaland (MCI) — scored 169, model expected 272.7 (−104)Haaland MCI−104B.Fernandes (MUN) — scored 197, model expected 203.5 (−7)B.Fernandes MUN−7Gabriel (ARS) — scored 137, model expected 153.6 (−17)Gabriel ARS−17Semenyo (MCI) — scored 136, model expected 188.0 (−52)Semenyo MCI−52Gibbs-White (NFO) — scored 170, model expected 111.4 (+59)Gibbs-White NFO+59Bowen (WHU) — scored 152, model expected 116.4 (+36)Bowen WHU+36Rice (ARS) — scored 144, model expected 167.1 (−23)Rice ARS−23Thiago (BRE) — scored 149, model expected 160.9 (−12)Thiago BRE−12Anderson (NFO) — scored 158, model expected 127.0 (+31)Anderson NFO+31Guéhi (MCI) — scored 133, model expected 170.6 (−38)Guéhi MCI−38João Pedro (CHE) — scored 138, model expected 132.0 (+6)João Pedro CHE+6Senesi (BOU) — scored 129, model expected 138.9 (−10)Senesi BOU−10Virgil (LIV) — scored 146, model expected 135.1 (+11)Virgil LIV+11Tarkowski (EVE) — scored 138, model expected 138.1 (0)Tarkowski EVE0Rogers (AVL) — scored 147, model expected 113.5 (+34)Rogers AVL+34Wilson (FUL) — scored 147, model expected 108.8 (+38)Wilson FUL+38Watkins (AVL) — scored 147, model expected 110.7 (+36)Watkins AVL+36Truffert (BOU) — scored 133, model expected 105.1 (+28)Truffert BOU+28Casemiro (MUN) — scored 150, model expected 133.2 (+17)Casemiro MUN+17Raya (ARS) — scored 128, model expected 138.3 (−10)Raya ARS−10Szoboszlai (LIV) — scored 133, model expected 134.0 (−1)Szoboszlai LIV−1O'Reilly (MCI) — scored 140, model expected 141.5 (−2)O'Reilly MCI−2Garner (EVE) — scored 126, model expected 121.6 (+4)Garner EVE+4Saka (ARS) — scored 125, model expected 151.6 (−27)Saka ARS−27Enzo (CHE) — scored 116, model expected 177.1 (−61)Enzo CHE−61Lacroix (CRY) — scored 117, model expected 131.8 (−15)Lacroix CRY−15Matheus N. (MCI) — scored 133, model expected 127.3 (+6)Matheus N. MCI+6Bruno G. (NEW) — scored 115, model expected 87.0 (+28)Bruno G. NEW+28Dewsbury-Hall (EVE) — scored 115, model expected 83.7 (+31)Dewsbury-Hall EVE+31Mukiele (SUN) — scored 111, model expected 122.2 (−11)Mukiele SUN−11J.Timber (ARS) — scored 101, model expected 157.1 (−56)J.Timber ARS−56Mbeumo (MUN) — scored 102, model expected 144.4 (−42)Mbeumo MUN−42Van Hecke (BHA) — scored 126, model expected 122.5 (+4)Van Hecke BHA+4E.Le Fée (SUN) — scored 127, model expected 108.9 (+18)E.Le Fée SUN+18Gravenberch (LIV) — scored 107, model expected 107.6 (−1)Gravenberch LIV−1Kelleher (BRE) — scored 122, model expected 108.4 (+14)Kelleher BRE+14Cunha (MUN) — scored 132, model expected 124.3 (+8)Cunha MUN+8Calvert-Lewin (LEE) — scored 124, model expected 120.5 (+4)Calvert-Lewin LEE+4Saliba (ARS) — scored 112, model expected 115.7 (−4)Saliba ARS−4Tavernier (BOU) — scored 100, model expected 112.0 (−12)Tavernier BOU−12Stach (LEE) — scored 98, model expected 90.6 (+7)Stach LEE+7O.Dango (BRE) — scored 95, model expected 106.1 (−11)O.Dango BRE−11Scott (BOU) — scored 112, model expected 102.3 (+10)Scott BOU+10Chalobah (CHE) — scored 101, model expected 126.4 (−25)Chalobah CHE−25Muñoz (CRY) — scored 97, model expected 95.5 (+2)Muñoz CRY+2Roefs (SUN) — scored 95, model expected 120.9 (−26)Roefs SUN−26Mitchell (CRY) — scored 100, model expected 116.2 (−16)Mitchell CRY−16Pickford (EVE) — scored 105, model expected 124.4 (−19)Pickford EVE−19Cherki (MCI) — scored 86, model expected 110.4 (−24)Cherki MCI−24M.Fernandes (WHU) — scored 122, model expected 98.8 (+23)M.Fernandes WHU+23Donnarumma (MCI) — scored 120, model expected 116.4 (+4)Donnarumma MCI+4Ampadu (LEE) — scored 119, model expected 104.8 (+14)Ampadu LEE+14Zubimendi (ARS) — scored 101, model expected 110.6 (−10)Zubimendi ARS−10Henderson (CRY) — scored 104, model expected 115.1 (−11)Henderson CRY−11Keane (EVE) — scored 96, model expected 110.8 (−15)Keane EVE−15Gakpo (LIV) — scored 88, model expected 132.5 (−45)Gakpo LIV−45Foden (MCI) — scored 90, model expected 109.2 (−19)Foden MCI−19Verbruggen (BHA) — scored 119, model expected 114.3 (+5)Verbruggen BHA+5Collins (BRE) — scored 105, model expected 106.2 (−1)Collins BRE−1Konaté (LIV) — scored 105, model expected 116.7 (−12)Konaté LIV−12Richards (CRY) — scored 86, model expected 117.2 (−31)Richards CRY−31Ndiaye (EVE) — scored 87, model expected 103.5 (−17)Ndiaye EVE−17N.Williams (NFO) — scored 113, model expected 87.8 (+25)N.Williams NFO+25Gyökeres (ARS) — scored 94, model expected 107.4 (−13)Gyökeres ARS−13Anthony (BUR) — scored 81, model expected 79.0 (+2)Anthony BUR+2Welbeck (BHA) — scored 103, model expected 107.4 (−4)Welbeck BHA−4Aaronson (LEE) — scored 95, model expected 96.4 (−1)Aaronson LEE−1J.Palhinha (TOT) — scored 70, model expected 70.6 (−1)J.Palhinha TOT−1Thiaw (NEW) — scored 107, model expected 130.6 (−24)Thiaw NEW−24Schade (BRE) — scored 107, model expected 117.5 (−11)Schade BRE−11Neto (CHE) — scored 105, model expected 119.3 (−14)Neto CHE−14Wirtz (LIV) — scored 112, model expected 118.9 (−7)Wirtz LIV−7Ekitiké (LIV) — scored 90, model expected 98.6 (−9)Ekitiké LIV−9Alderete (SUN) — scored 82, model expected 114.8 (−33)Alderete SUN−33Petrović (BOU) — scored 97, model expected 110.0 (−13)Petrović BOU−13Xhaka (SUN) — scored 88, model expected 91.0 (−3)Xhaka SUN−3Andersen (FUL) — scored 94, model expected 121.2 (−27)Andersen FUL−27M.Salah (LIV) — scored 79, model expected 108.6 (−30)M.Salah LIV−30Leno (FUL) — scored 102, model expected 110.3 (−8)Leno FUL−8Mavropanos (WHU) — scored 99, model expected 85.0 (+14)Mavropanos WHU+14Martinez (AVL) — scored 105, model expected 109.3 (−4)Martinez AVL−4Doku (MCI) — scored 61, model expected 77.4 (−16)Doku MCI−16Trossard (ARS) — scored 87, model expected 107.5 (−21)Trossard ARS−21Milenković (NFO) — scored 107, model expected 92.0 (+15)Milenković NFO+15Richarlison (TOT) — scored 63, model expected 64.2 (−1)Richarlison TOT−1F.Kadıoğlu (BHA) — scored 109, model expected 105.8 (+3)F.Kadıoğlu BHA+3Cash (AVL) — scored 88, model expected 98.6 (−11)Cash AVL−11Minteh (BHA) — scored 71, model expected 86.6 (−16)Minteh BHA−16Sarr (CRY) — scored 72, model expected 95.5 (−24)Sarr CRY−24Pedro Porro (TOT) — scored 86, model expected 92.8 (−7)Pedro Porro TOT−7O'Brien (EVE) — scored 93, model expected 99.7 (−7)O'Brien EVE−7Ballard (SUN) — scored 83, model expected 108.0 (−25)Ballard SUN−25Van de Ven (TOT) — scored 84, model expected 107.9 (−24)Van de Ven TOT−24Evanilson (BOU) — scored 93, model expected 96.5 (−4)Evanilson BOU−4Lewis-Potter (BRE) — scored 51, model expected 44.5 (+7)Lewis-Potter BRE+7James (CHE) — scored 94, model expected 87.0 (+7)James CHE+7Palmer (CHE) — scored 90, model expected 103.9 (−14)Palmer CHE−14Mateta (CRY) — scored 78, model expected 104.7 (−27)Mateta CRY−27Igor Jesus (NFO) — scored 98, model expected 70.7 (+27)Igor Jesus NFO+27Kroupi.Jr (BOU) — scored 50, model expected 49.6 (0)Kroupi.Jr BOU0Kayode (BRE) — scored 94, model expected 97.8 (−4)Kayode BRE−4Van den Berg (BRE) — scored 84, model expected 107.2 (−23)Van den Berg BRE−23Damsgaard (BRE) — scored 62, model expected 73.4 (−11)Damsgaard BRE−11Sánchez (CHE) — scored 94, model expected 108.5 (−15)Sánchez CHE−15Eze (ARS) — scored 69, model expected 81.4 (−12)Eze ARS−12Rúben (MCI) — scored 78, model expected 81.7 (−4)Rúben MCI−4Shaw (MUN) — scored 98, model expected 86.1 (+12)Shaw MUN+12Wharton (CRY) — scored 93, model expected 97.4 (−4)Wharton CRY−4Raúl (FUL) — scored 83, model expected 80.3 (+3)Raúl FUL+3Dalot (MUN) — scored 95, model expected 101.2 (−6)Dalot MUN−6Šeško (MUN) — scored 53, model expected 70.5 (−18)Šeško MUN−18Hill (BOU) — scored 83, model expected 57.8 (+25)Hill BOU+25Caicedo (CHE) — scored 62, model expected 102.7 (−41)Caicedo CHE−41Hume (SUN) — scored 84, model expected 99.1 (−15)Hume SUN−15Summerville (WHU) — scored 94, model expected 77.1 (+17)Summerville WHU+17Calafiori (ARS) — scored 36, model expected 70.1 (−34)Calafiori ARS−34Rodon (LEE) — scored 79, model expected 86.4 (−7)Rodon LEE−7Okafor (LEE) — scored 55, model expected 58.6 (−4)Okafor LEE−4Lammens (MUN) — scored 100, model expected 108.9 (−9)Lammens MUN−9Struijk (LEE) — scored 84, model expected 97.7 (−14)Struijk LEE−14Mac Allister (LIV) — scored 93, model expected 88.2 (+5)Mac Allister LIV+5Woltemade (NEW) — scored 67, model expected 77.4 (−10)Woltemade NEW−10J.Gomes (WOL) — scored 89, model expected 79.8 (+9)J.Gomes WOL+9Barnes (NEW) — scored 43, model expected 70.7 (−28)Barnes NEW−28Sels (NFO) — scored 76, model expected 85.5 (−10)Sels NFO−10Yarmoliuk (BRE) — scored 81, model expected 83.6 (−3)Yarmoliuk BRE−3Cucurella (CHE) — scored 77, model expected 101.7 (−25)Cucurella CHE−25Beto (EVE) — scored 51, model expected 37.4 (+14)Beto EVE+14Diouf (WHU) — scored 67, model expected 56.5 (+11)Diouf WHU+11McGinn (AVL) — scored 69, model expected 65.7 (+3)McGinn AVL+3Bassey (FUL) — scored 76, model expected 77.5 (−2)Bassey FUL−2Iwobi (FUL) — scored 66, model expected 74.6 (−9)Iwobi FUL−9Souček (WHU) — scored 59, model expected 55.8 (+3)Souček WHU+3Buendía (AVL) — scored 36, model expected 40.2 (−4)Buendía AVL−4Bernardo (MCI) — scored 85, model expected 87.7 (−3)Bernardo MCI−3Gordon (NEW) — scored 65, model expected 86.6 (−22)Gordon NEW−22Konsa (AVL) — scored 84, model expected 102.2 (−18)Konsa AVL−18Dunk (BHA) — scored 69, model expected 80.3 (−11)Dunk BHA−11Flemming (BUR) — scored 65, model expected 51.8 (+13)Flemming BUR+13Bijol (LEE) — scored 83, model expected 62.1 (+21)Bijol LEE+21Jensen (BRE) — scored 68, model expected 71.2 (−3)Jensen BRE−3Ayari (BHA) — scored 65, model expected 63.6 (+1)Ayari BHA+1Digne (AVL) — scored 48, model expected 52.2 (−4)Digne AVL−4Gomez (BHA) — scored 88, model expected 89.2 (−1)Gomez BHA−1Ugochukwu (BUR) — scored 72, model expected 71.4 (+1)Ugochukwu BUR+1Gusto (CHE) — scored 81, model expected 90.3 (−9)Gusto CHE−9Bogle (LEE) — scored 73, model expected 73.2 (0)Bogle LEE0Pope (NEW) — scored 42, model expected 76.6 (−35)Pope NEW−35Dúbravka (BUR) — scored 76, model expected 122.3 (−46)Dúbravka BUR−46André (WOL) — scored 79, model expected 76.2 (+3)André WOL+3Mykolenko (EVE) — scored 88, model expected 97.3 (−9)Mykolenko EVE−9Barry (EVE) — scored 61, model expected 46.8 (+14)Barry EVE+14Sessegnon (FUL) — scored 47, model expected 60.1 (−13)Sessegnon FUL−13Dorgu (MUN) — scored 33, model expected 30.9 (+2)Dorgu MUN+2Wieffer (BHA) — scored 68, model expected 73.2 (−5)Wieffer BHA−5Justin (LEE) — scored 76, model expected 51.4 (+25)Justin LEE+25Burn (NEW) — scored 47, model expected 69.1 (−22)Burn NEW−22Reijnders (MCI) — scored 53, model expected 67.0 (−14)Reijnders MCI−14S.Bueno (WOL) — scored 65, model expected 69.7 (−5)S.Bueno WOL−5Brobbey (SUN) — scored 66, model expected 51.2 (+15)Brobbey SUN+15Hinshelwood (BHA) — scored 53, model expected 48.9 (+4)Hinshelwood BHA+4Berge (FUL) — scored 75, model expected 76.8 (−2)Berge FUL−2A.Becker (LIV) — scored 61, model expected 75.2 (−14)A.Becker LIV−14Amad (MUN) — scored 72, model expected 106.2 (−34)Amad MUN−34Romero (TOT) — scored 57, model expected 69.1 (−12)Romero TOT−12Maguire (MUN) — scored 46, model expected 45.9 (0)Maguire MUN0Vicario (TOT) — scored 55, model expected 107.7 (−53)Vicario TOT−53Botman (NEW) — scored 48, model expected 61.3 (−13)Botman NEW−13Sangaré (NFO) — scored 61, model expected 55.9 (+5)Sangaré NFO+5Hudson-Odoi (NFO) — scored 43, model expected 50.6 (−8)Hudson-Odoi NFO−8Georginio (BHA) — scored 49, model expected 51.5 (−3)Georginio BHA−3Hincapie (ARS) — scored 74, model expected 89.7 (−16)Hincapie ARS−16Bentancur (TOT) — scored 64, model expected 59.3 (+5)Bentancur TOT+5Estève (BUR) — scored 65, model expected 85.8 (−21)Estève BUR−21Kerkez (LIV) — scored 68, model expected 68.8 (−1)Kerkez LIV−1De Cuyper (BHA) — scored 17, model expected 25.5 (−9)De Cuyper BHA−9Florentino (BUR) — scored 66, model expected 70.8 (−5)Florentino BUR−5Gana (EVE) — scored 47, model expected 61.5 (−15)Gana EVE−15Murillo (NFO) — scored 74, model expected 68.1 (+6)Murillo NFO+6Talbi (SUN) — scored 25, model expected 33.8 (−9)Talbi SUN−9H.Bueno (WOL) — scored 49, model expected 58.2 (−9)H.Bueno WOL−9J.Murphy (NEW) — scored 42, model expected 53.6 (−12)J.Murphy NEW−12Hutchinson (NFO) — scored 46, model expected 52.1 (−6)Hutchinson NFO−6Tete (FUL) — scored 60, model expected 61.6 (−2)Tete FUL−2C.Jones (LIV) — scored 43, model expected 41.1 (+2)C.Jones LIV+2Tonali (NEW) — scored 58, model expected 77.3 (−19)Tonali NEW−19Smith Rowe (FUL) — scored 36, model expected 59.0 (−23)Smith Rowe FUL−23Sadiki (SUN) — scored 58, model expected 63.9 (−6)Sadiki SUN−6Wilson (WHU) — scored 10, model expected 15.2 (−5)Wilson WHU−5Xavi (TOT) — scored 49, model expected 66.1 (−17)Xavi TOT−17Gvardiol (MCI) — scored 53, model expected 70.1 (−17)Gvardiol MCI−17Grealish (EVE) — scored 42, model expected 55.8 (−14)Grealish EVE−14Hall (NEW) — scored 60, model expected 77.9 (−18)Hall NEW−18Spence (TOT) — scored 41, model expected 56.9 (−16)Spence TOT−16Tel (TOT) — scored 26, model expected 25.4 (+1)Tel TOT+1Groß (BHA) — scored 76, model expected 59.4 (+17)Groß BHA+17Adams (BOU) — scored 45, model expected 39.6 (+5)Adams BOU+5Yeremy (CRY) — scored 58, model expected 77.9 (−20)Yeremy CRY−20Onana (AVL) — scored 52, model expected 61.6 (−10)Onana AVL−10Ajer (BRE) — scored 48, model expected 65.2 (−17)Ajer BRE−17Henderson (BRE) — scored 47, model expected 48.7 (−2)Henderson BRE−2Osula (NEW) — scored 17, model expected 11.5 (+6)Osula NEW+6Hermansen (WHU) — scored 55, model expected 44.8 (+10)Hermansen WHU+10Kudus (TOT) — scored 36, model expected 51.8 (−16)Kudus TOT−16Strand Larsen (CRY) — scored 63, model expected 63.3 (0)Strand Larsen CRY0Ødegaard (ARS) — scored 41, model expected 42.2 (−1)Ødegaard ARS−1Janelt (BRE) — scored 41, model expected 39.1 (+2)Janelt BRE+2Reinildo (SUN) — scored 47, model expected 46.4 (+1)Reinildo SUN+1Isidor (SUN) — scored 20, model expected 29.5 (−10)Isidor SUN−10A.Jimenez (BOU) — scored 66, model expected 61.2 (+5)A.Jimenez BOU+5Mané (WOL) — scored 49, model expected 43.3 (+6)Mané WOL+6Nmecha (LEE) — scored 0, model expected 7.6 (−8)Nmecha LEE−8Mainoo (MUN) — scored 49, model expected 35.7 (+13)Mainoo MUN+13Joelinton (NEW) — scored 41, model expected 59.1 (−18)Joelinton NEW−18Madueke (ARS) — scored 3, model expected 16.1 (−13)Madueke ARS−13L.Miley (NEW) — scored 28, model expected 43.2 (−15)L.Miley NEW−15Canvot (CRY) — scored 35, model expected 35.9 (−1)Canvot CRY−1Darlow (LEE) — scored 54, model expected 60.9 (−7)Darlow LEE−7P.M.Sarr (TOT) — scored 20, model expected 34.9 (−15)P.M.Sarr TOT−15Walker (BUR) — scored 59, model expected 62.3 (−3)Walker BUR−3Cullen (BUR) — scored 33, model expected 51.6 (−19)Cullen BUR−19Lerma (CRY) — scored 29, model expected 34.1 (−5)Lerma CRY−5Rodrigo (MCI) — scored 40, model expected 51.4 (−11)Rodrigo MCI−11L.Paquetá (WHU) — scored 40, model expected 51.1 (−11)L.Paquetá WHU−11Tielemans (AVL) — scored 46, model expected 52.5 (−7)Tielemans AVL−7Iroegbunam (EVE) — scored 25, model expected 18.2 (+7)Iroegbunam EVE+7Gudmundsson (LEE) — scored 45, model expected 79.1 (−34)Gudmundsson LEE−34José Sá (WOL) — scored 60, model expected 56.3 (+4)José Sá WOL+4Krejčí (WOL) — scored 56, model expected 59.8 (−4)Krejčí WOL−4Merino (ARS) — scored 30, model expected 27.9 (+2)Merino ARS+2Kamada (CRY) — scored 42, model expected 64.1 (−22)Kamada CRY−22Lukić (FUL) — scored 30, model expected 36.1 (−6)Lukić FUL−6Tanaka (LEE) — scored 36, model expected 24.3 (+12)Tanaka LEE+12Khusanov (MCI) — scored 41, model expected 46.2 (−5)Khusanov MCI−5Aina (NFO) — scored 58, model expected 44.0 (+14)Aina NFO+14Wan-Bissaka (WHU) — scored 54, model expected 47.5 (+7)Wan-Bissaka WHU+7Adli (BOU) — scored 18, model expected 20.4 (−2)Adli BOU−2Rayan (BOU) — scored 54, model expected 46.6 (+7)Rayan BOU+7Tolu (WOL) — scored 29, model expected 24.3 (+5)Tolu WOL+5Fofana (CHE) — scored 39, model expected 55.5 (−17)Fofana CHE−17Robinson (FUL) — scored 35, model expected 47.0 (−12)Robinson FUL−12Diarra (SUN) — scored 37, model expected 35.1 (+2)Diarra SUN+2Johnson (CRY) — scored 17, model expected 26.8 (−10)Johnson CRY−10Pau (AVL) — scored 40, model expected 58.3 (−18)Pau AVL−18Hartman (BUR) — scored 35, model expected 39.5 (−5)Hartman BUR−5King (FUL) — scored 20, model expected 23.1 (−3)King FUL−3Frimpong (LIV) — scored 7, model expected 25.0 (−18)Frimpong LIV−18N.Gonzalez (MCI) — scored 39, model expected 42.6 (−4)N.Gonzalez MCI−4Danso (TOT) — scored 32, model expected 32.3 (0)Danso TOT0J.Ramsey (NEW) — scored 25, model expected 24.0 (+1)J.Ramsey NEW+1Mitoma (BHA) — scored 18, model expected 46.8 (−29)Mitoma BHA−29Chukwueze (FUL) — scored 12, model expected 31.2 (−19)Chukwueze FUL−19Kamara (AVL) — scored 46, model expected 41.3 (+5)Kamara AVL+5Castagne (FUL) — scored 33, model expected 41.5 (−9)Castagne FUL−9Gray (TOT) — scored 50, model expected 42.7 (+7)Gray TOT+7Mosquera (WOL) — scored 58, model expected 45.7 (+12)Mosquera WOL+12Taty (WHU) — scored 59, model expected 49.6 (+9)Taty WHU+9Aït-Nouri (MCI) — scored 27, model expected 31.3 (−4)Aït-Nouri MCI−4Brooks (BOU) — scored 7, model expected 17.1 (−10)Brooks BOU−10Hannibal (BUR) — scored 15, model expected 14.9 (0)Hannibal BUR0Tchaouna (BUR) — scored 14, model expected 13.6 (0)Tchaouna BUR0Livramento (NEW) — scored 9, model expected 30.1 (−21)Livramento NEW−21Smith (BOU) — scored 2, model expected 5.5 (−4)Smith BOU−4Foster (BUR) — scored 17, model expected 23.8 (−7)Foster BUR−7Mount (MUN) — scored 5, model expected 16.6 (−12)Mount MUN−12Barkley (AVL) — scored 19, model expected 17.9 (+1)Barkley AVL+1Baleba (BHA) — scored 25, model expected 28.1 (−3)Baleba BHA−3Laurent (BUR) — scored 23, model expected 38.7 (−16)Laurent BUR−16Gruev (LEE) — scored 28, model expected 26.9 (+1)Gruev LEE+1Yoro (MUN) — scored 25, model expected 52.7 (−28)Yoro MUN−28Garnacho (CHE) — scored 31, model expected 52.1 (−21)Garnacho CHE−21Longstaff (LEE) — scored 12, model expected 25.4 (−13)Longstaff LEE−13Robertson (LIV) — scored 10, model expected 15.2 (−5)Robertson LIV−5Geertruida (SUN) — scored 21, model expected 43.7 (−23)Geertruida SUN−23Maatsen (AVL) — scored 36, model expected 49.7 (−14)Maatsen AVL−14Trippier (NEW) — scored 17, model expected 38.7 (−22)Trippier NEW−22Hee Chan (WOL) — scored 22, model expected 21.7 (0)Hee Chan WOL0McNeil (EVE) — scored 19, model expected 31.6 (−13)McNeil EVE−13Mazraoui (MUN) — scored 9, model expected 10.4 (−1)Mazraoui MUN−1Morato (NFO) — scored 17, model expected 24.2 (−7)Morato NFO−7Walker-Peters (WHU) — scored 13, model expected 22.8 (−10)Walker-Peters WHU−10Henry (BRE) — scored 31, model expected 30.8 (0)Henry BRE0Ekdal (BUR) — scored 23, model expected 37.6 (−15)Ekdal BUR−15Tchatchoua (WOL) — scored 25, model expected 41.5 (−17)Tchatchoua WOL−17Kolo Muani (TOT) — scored 36, model expected 44.9 (−9)Kolo Muani TOT−9Edwards (BUR) — scored 23, model expected 24.4 (−1)Edwards BUR−1Martinez (MUN) — scored 28, model expected 31.2 (−3)Martinez MUN−3Schär (NEW) — scored 18, model expected 30.6 (−13)Schär NEW−13Areola (WHU) — scored 45, model expected 78.2 (−33)Areola WHU−33Mings (AVL) — scored 11, model expected 34.0 (−23)Mings AVL−23Ndoye (NFO) — scored 17, model expected 22.1 (−5)Ndoye NFO−5Bergvall (TOT) — scored 5, model expected 8.9 (−4)Bergvall TOT−4Kevin (FUL) — scored 12, model expected 13.8 (−2)Kevin FUL−2Disasi (WHU) — scored 43, model expected 34.7 (+8)Disasi WHU+8Elanga (NEW) — scored 10, model expected 17.2 (−7)Elanga NEW−7Dominguez (NFO) — scored 9, model expected 14.1 (−5)Dominguez NFO−5R.Gomes (WOL) — scored 2, model expected 5.1 (−3)R.Gomes WOL−3Christie (BOU) — scored 14, model expected 18.4 (−4)Christie BOU−4Humphreys (BUR) — scored 35, model expected 45.2 (−10)Humphreys BUR−10Andrey Santos (CHE) — scored 6, model expected 13.0 (−7)Andrey Santos CHE−7Veltman (BHA) — scored 4, model expected 15.2 (−11)Veltman BHA−11Odobert (TOT) — scored 12, model expected 18.0 (−6)Odobert TOT−6Todibo (WHU) — scored 30, model expected 37.6 (−8)Todibo WHU−8Diakité (BOU) — scored 19, model expected 32.6 (−14)Diakité BOU−14White (ARS) — scored 3, model expected 24.3 (−21)White ARS−21Delap (CHE) — scored 7, model expected 11.4 (−4)Delap CHE−4Hughes (CRY) — scored 17, model expected 20.4 (−3)Hughes CRY−3J.Arias (WOL) — scored 16, model expected 28.6 (−13)J.Arias WOL−13Bellegarde (WOL) — scored 21, model expected 20.0 (+1)Bellegarde WOL+1Guessand (CRY) — scored 5, model expected 10.5 (−6)Guessand CRY−6Gallagher (TOT) — scored 40, model expected 42.3 (−2)Gallagher TOT−2Savinho (MCI) — scored 4, model expected 13.9 (−10)Savinho MCI−10De Ligt (MUN) — scored 17, model expected 42.6 (−26)De Ligt MUN−26Perri (LEE) — scored 28, model expected 39.1 (−11)Perri LEE−11Broja (BUR) — scored 17, model expected 21.3 (−4)Broja BUR−4Bradley (LIV) — scored 26, model expected 22.1 (+4)Bradley LIV+4Bobb (FUL) — scored 5, model expected 8.3 (−3)Bobb FUL−3Heaven (MUN) — scored 15, model expected 27.7 (−13)Heaven MUN−13Zirkzee (MUN) — scored 2, model expected 8.9 (−7)Zirkzee MUN−7S.Magassa (WHU) — scored 12, model expected 19.3 (−7)S.Magassa WHU−7Kluivert (BOU) — scored 16, model expected 21.6 (−6)Kluivert BOU−6Bruun Larsen (BUR) — scored 8, model expected 11.2 (−3)Bruun Larsen BUR−3Isak (LIV) — scored 8, model expected 15.3 (−7)Isak LIV−7Wood (NFO) — scored 7, model expected 19.9 (−13)Wood NFO−13Toti (WOL) — scored 21, model expected 24.3 (−3)Toti WOL−3Bogarde (AVL) — scored 0, model expected 3.4 (−3)Bogarde AVL−3Cook (BOU) — scored 16, model expected 18.3 (−2)Cook BOU−2Mayenda (SUN) — scored 0, model expected 2.2 (−2)Mayenda SUN−2Solanke (TOT) — scored 21, model expected 32.2 (−11)Solanke TOT−11Ward-Prowse (BUR) — scored 16, model expected 23.1 (−7)Ward-Prowse BUR−7Mosquera (ARS) — scored 0, model expected 2.4 (−2)Mosquera ARS−2Boscagli (BHA) — scored 1, model expected 12.2 (−11)Boscagli BHA−11Acheampong (CHE) — scored 2, model expected 13.3 (−11)Acheampong CHE−11J.Cuenca (FUL) — scored 18, model expected 28.1 (−10)J.Cuenca FUL−10Savona (NFO) — scored 37, model expected 31.3 (+6)Savona NFO+6Armstrong (WOL) — scored 35, model expected 24.3 (+11)Armstrong WOL+11Ugarte (MUN) — scored 8, model expected 10.8 (−3)Ugarte MUN−3Willock (NEW) — scored 8, model expected 7.0 (+1)Willock NEW+1Munetsi (WOL) — scored 19, model expected 19.8 (−1)Munetsi WOL−1Sancho (AVL) — scored 4, model expected 10.6 (−7)Sancho AVL−7Potts (WHU) — scored 18, model expected 22.8 (−5)Potts WHU−5Havertz (ARS) — scored 9, model expected 12.7 (−4)Havertz ARS−4Devenny (CRY) — scored 2, model expected 8.0 (−6)Devenny CRY−6Muniz (FUL) — scored 9, model expected 14.9 (−6)Muniz FUL−6Aké (MCI) — scored 0, model expected 6.5 (−7)Aké MCI−7Rigg (SUN) — scored 8, model expected 9.2 (−1)Rigg SUN−1Kilman (WHU) — scored 23, model expected 35.3 (−12)Kilman WHU−12Röhl (EVE) — scored 2, model expected 1.8 (0)Röhl EVE0Gruda (BHA) — scored 4, model expected 10.7 (−7)Gruda BHA−7Milner (BHA) — scored 2, model expected 8.6 (−7)Milner BHA−7Møller Wolfe (WOL) — scored 8, model expected 9.2 (−1)Møller Wolfe WOL−1Douglas Luiz (AVL) — scored 13, model expected 13.4 (0)Douglas Luiz AVL0Tuanzebe (BUR) — scored 9, model expected 28.6 (−20)Tuanzebe BUR−20Tosin (CHE) — scored 2, model expected 10.0 (−8)Tosin CHE−8Mamardashvili (LIV) — scored 20, model expected 32.2 (−12)Mamardashvili LIV−12Adingra (SUN) — scored 3, model expected 8.3 (−5)Adingra SUN−5Branthwaite (EVE) — scored 25, model expected 23.7 (+1)Branthwaite EVE+1Diop (FUL) — scored 0, model expected 5.2 (−5)Diop FUL−5Traoré (SUN) — scored 19, model expected 18.3 (+1)Traoré SUN+1Lewis-Skelly (ARS) — scored 1, model expected 2.9 (−2)Lewis-Skelly ARS−2Alcaraz (EVE) — scored 5, model expected 9.0 (−4)Alcaraz EVE−4Udogie (TOT) — scored 13, model expected 27.1 (−14)Udogie TOT−14Lindelöf (AVL) — scored 12, model expected 18.5 (−7)Lindelöf AVL−7Wissa (NEW) — scored 1, model expected 2.4 (−1)Wissa NEW−1O'Nien (SUN) — scored 0, model expected 8.7 (−9)O'Nien SUN−9Pablo (WHU) — scored 12, model expected 19.5 (−8)Pablo WHU−8Lucas Pires (BUR) — scored 16, model expected 32.7 (−17)Lucas Pires BUR−17Ramsdale (NEW) — scored 12, model expected 34.2 (−22)Ramsdale NEW−22Agbadou (WOL) — scored 1, model expected 18.8 (−18)Agbadou WOL−18Abraham (AVL) — scored 2, model expected 8.8 (−7)Abraham AVL−7Patterson (EVE) — scored 1, model expected 2.5 (−2)Patterson EVE−2Armstrong (EVE) — scored 8, model expected 14.3 (−6)Armstrong EVE−6Scarles (WHU) — scored 14, model expected 16.9 (−3)Scarles WHU−3Johnstone (WOL) — scored 13, model expected 41.3 (−28)Johnstone WOL−28Worrall (BUR) — scored 4, model expected 7.8 (−4)Worrall BUR−4Chadi Riad (CRY) — scored 0, model expected 3.0 (−3)Chadi Riad CRY−3Kinsky (TOT) — scored 17, model expected 11.3 (+6)Kinsky TOT+6Hato (CHE) — scored 7, model expected 15.3 (−8)Hato CHE−8Milosavljević (BOU) — scored 4, model expected 7.7 (−4)Milosavljević BOU−4Clyne (CRY) — scored 9, model expected 14.7 (−6)Clyne CRY−6Dragusin (TOT) — scored 9, model expected 18.1 (−9)Dragusin TOT−9Bissouma (TOT) — scored 6, model expected 13.2 (−7)Bissouma TOT−7M.Bizot (AVL) — scored 0, model expected 3.9 (−4)M.Bizot AVL−4Ellborg (SUN) — scored 3, model expected 12.4 (−9)Ellborg SUN−9Angel (WOL) — scored 5, model expected 6.4 (−1)Angel WOL−1Pinnock (BRE) — scored 0, model expected 1.0 (−1)Pinnock BRE−1Cirkin (SUN) — scored 3, model expected 7.6 (−5)Cirkin SUN−5Doherty (WOL) — scored 3, model expected 4.6 (−2)Doherty WOL−2Jair Cunha (NFO) — scored 3, model expected 3.2 (0)Jair Cunha NFO0Angulo (SUN) — scored 1, model expected 6.8 (−6)Angulo SUN−6Füllkrug (WHU) — scored 0, model expected 5.2 (−5)Füllkrug WHU−5Ortega Moreno (NFO) — scored 3, model expected 9.6 (−7)Ortega Moreno NFO−7Bayindir (MUN) — scored 0, model expected 6.5 (−7)Bayindir MUN−7John (NFO) — scored 4, model expected 11.7 (−8)John NFO−8Netz (NFO) — scored 1, model expected 2.3 (−1)Netz NFO−1Zinchenko (NFO) — scored 1, model expected 4.3 (−3)Zinchenko NFO−3Weiss (BUR) — scored 3, model expected 1.8 (+1)Weiss BUR+1B.Badiashile (CHE) — scored 0, model expected 1.9 (−2)B.Badiashile CHE−2Woodman (LIV) — scored 0, model expected 6.0 (−6)Woodman LIV−6Bentley (WOL) — scored 2, model expected 5.6 (−4)Bentley WOL−4Alleyne (MCI) — scored 1, model expected 17.4 (−16)Alleyne MCI−16

Measured against the model

Which differentials are worth the risk?

Differentials

Last Season 2025/26Updates with season start
Position
240 players

The differential zone shows the players with the highest points with the lowest ownership.

501001502002500%5%15%30%60%DIFFERENTIAL ZONE · 49 playersOWNERSHIP · 2026/27SEASON POINTS · 2025/26Raya (ARS) — 45.6% owned, 162 ptsGabriel (ARS) — 21.4% owned, 209 ptsSaliba (ARS) — 0.2% owned, 137 ptsCalafiori (ARS) — 54.2% owned, 109 ptsJ.Timber (ARS) — 0.7% owned, 149 ptsSaka (ARS) — 9.6% owned, 157 ptsTrossard (ARS) — 1.8% owned, 119 ptsRice (ARS) — 12.3% owned, 184 ptsZubimendi (ARS) — 0.5% owned, 133 ptsMartinez (AVL) — 3.7% owned, 120 ptsCash (AVL) — 4.1% owned, 117 ptsDigne (AVL) — 0.0% owned, 97 ptsKonsa (AVL) — 19.2% owned, 100 ptsMaatsen (AVL) — 0.3% owned, 54 ptsPau (AVL) — 0.3% owned, 64 ptsRogers (AVL) — 49.9% owned, 169 ptsTielemans (AVL) — 1.3% owned, 68 ptsBuendía (AVL) — 1.3% owned, 102 ptsMcGinn (AVL) — 2.9% owned, 103 ptsOnana (AVL) — 0.0% owned, 76 ptsWatkins (AVL) — 2.3% owned, 167 ptsPetrović (BOU) — 2.8% owned, 124 ptsSenesi (BOU) — 3.1% owned, 175 ptsTruffert (BOU) — 2.7% owned, 165 ptsHill (BOU) — 0.9% owned, 110 ptsSemenyo (MCI) — 8.3% owned, 202 ptsO.Dango (BRE) — 0.4% owned, 136 ptsTavernier (BOU) — 14.4% owned, 137 ptsAdams (BOU) — 0.3% owned, 77 ptsScott (BOU) — 2.5% owned, 136 ptsEvanilson (BOU) — 6.3% owned, 115 ptsKroupi.Jr (BOU) — 0.2% owned, 113 ptsKelleher (BRE) — 6.2% owned, 143 ptsCollins (BRE) — 0.8% owned, 129 ptsLewis-Potter (BRE) — 1.9% owned, 115 ptsAjer (BRE) — 4.2% owned, 76 ptsKayode (BRE) — 7.0% owned, 113 ptsVan den Berg (BRE) — 0.1% owned, 113 ptsMbeumo (MUN) — 22.0% owned, 148 ptsSchade (BRE) — 15.2% owned, 125 ptsDamsgaard (BRE) — 0.3% owned, 113 ptsHenderson (BRE) — 1.5% owned, 76 ptsJensen (BRE) — 0.1% owned, 98 ptsYarmoliuk (BRE) — 0.5% owned, 104 ptsThiago (BRE) — 8.8% owned, 181 ptsVerbruggen (BHA) — 22.6% owned, 130 ptsDunk (BHA) — 1.4% owned, 100 ptsF.Kadıoğlu (BHA) — 1.7% owned, 118 ptsVan Hecke (BHA) — 6.9% owned, 148 ptsMitoma (BHA) — 0.0% owned, 62 ptsGeorginio (BHA) — 0.4% owned, 87 ptsMinteh (BHA) — 0.0% owned, 117 ptsHinshelwood (BHA) — 0.6% owned, 91 ptsAyari (BHA) — 0.7% owned, 98 ptsBaleba (BHA) — 0.3% owned, 56 ptsGomez (BHA) — 4.0% owned, 97 ptsWieffer (BHA) — 0.1% owned, 94 ptsWelbeck (BHA) — 0.7% owned, 126 ptsWalker (BUR) — 1.2% owned, 70 ptsEkdal (BUR) — 0.7% owned, 52 ptsEstève (BUR) — 7.0% owned, 85 ptsHartman (BUR) — 0.6% owned, 63 ptsHumphreys (BUR) — 0.1% owned, 47 ptsAnthony (BUR) — 0.3% owned, 127 ptsCullen (BUR) — 0.8% owned, 70 ptsLaurent (BUR) — 0.0% owned, 56 ptsFlemming (BUR) — 0.1% owned, 99 ptsSánchez (CHE) — 0.6% owned, 113 ptsCucurella (CHE) — 14.6% owned, 104 ptsJames (CHE) — 3.7% owned, 115 ptsChalobah (CHE) — 0.1% owned, 136 ptsGusto (CHE) — 0.8% owned, 96 ptsFofana (CHE) — 0.2% owned, 65 ptsPalmer (CHE) — 28.2% owned, 114 ptsNeto (CHE) — 3.7% owned, 125 ptsEnzo (CHE) — 3.9% owned, 157 ptsCaicedo (CHE) — 1.1% owned, 110 ptsDewsbury-Hall (EVE) — 6.0% owned, 151 ptsJoão Pedro (CHE) — 73.1% owned, 177 ptsHenderson (CRY) — 1.0% owned, 131 ptsMuñoz (CRY) — 4.7% owned, 136 ptsLacroix (CRY) — 6.3% owned, 154 ptsMitchell (CRY) — 5.5% owned, 135 ptsGuéhi (MCI) — 17.4% owned, 179 ptsRichards (CRY) — 0.6% owned, 128 ptsEze (ARS) — 1.1% owned, 113 ptsSarr (CRY) — 0.6% owned, 117 ptsHughes (CRY) — 6.1% owned, 45 ptsKamada (CRY) — 0.7% owned, 67 ptsLerma (CRY) — 0.1% owned, 69 ptsWharton (CRY) — 0.7% owned, 112 ptsMateta (CRY) — 1.2% owned, 114 ptsPickford (EVE) — 8.6% owned, 135 ptsTarkowski (EVE) — 18.3% owned, 170 ptsMykolenko (EVE) — 2.6% owned, 95 ptsO'Brien (EVE) — 0.3% owned, 116 ptsKeane (EVE) — 0.6% owned, 131 ptsNdiaye (EVE) — 5.4% owned, 128 ptsGana (EVE) — 0.1% owned, 83 ptsGarner (EVE) — 0.2% owned, 159 ptsBarry (EVE) — 7.6% owned, 95 ptsBeto (EVE) — 0.5% owned, 104 ptsLeno (FUL) — 4.5% owned, 122 ptsAndersen (FUL) — 0.2% owned, 123 ptsBassey (FUL) — 1.2% owned, 103 ptsCastagne (FUL) — 1.2% owned, 61 ptsTete (FUL) — 0.2% owned, 81 ptsIwobi (FUL) — 1.4% owned, 103 ptsSmith Rowe (FUL) — 0.2% owned, 80 ptsSessegnon (FUL) — 0.3% owned, 95 ptsWilson (FUL) — 1.2% owned, 168 ptsBerge (FUL) — 0.3% owned, 91 ptsLukić (FUL) — 0.1% owned, 67 ptsRaúl (FUL) — 1.8% owned, 112 ptsDarlow (LEE) — 0.0% owned, 71 ptsBogle (LEE) — 10.9% owned, 96 ptsStruijk (LEE) — 0.1% owned, 108 ptsBijol (LEE) — 0.6% owned, 99 ptsGudmundsson (LEE) — 0.1% owned, 68 ptsRodon (LEE) — 0.5% owned, 109 ptsAaronson (LEE) — 0.4% owned, 126 ptsAmpadu (LEE) — 0.8% owned, 134 ptsA.Becker (LIV) — 4.2% owned, 91 ptsKerkez (LIV) — 1.9% owned, 85 ptsVirgil (LIV) — 15.1% owned, 175 ptsKonaté (LIV) — 3.8% owned, 129 ptsM.Salah (LIV) — 15.2% owned, 123 ptsWirtz (LIV) — 5.1% owned, 125 ptsGakpo (LIV) — 6.6% owned, 131 ptsMac Allister (LIV) — 1.3% owned, 108 ptsSzoboszlai (LIV) — 15.8% owned, 160 ptsC.Jones (LIV) — 0.0% owned, 81 ptsGravenberch (LIV) — 0.9% owned, 144 ptsMatheus N. (MCI) — 1.0% owned, 154 ptsRúben (MCI) — 2.0% owned, 113 ptsO'Reilly (MCI) — 8.7% owned, 160 ptsFoden (MCI) — 2.7% owned, 131 ptsBernardo (MCI) — 0.7% owned, 102 ptsCherki (MCI) — 39.1% owned, 135 ptsDoku (MCI) — 3.7% owned, 120 ptsGrealish (EVE) — 0.4% owned, 79 ptsRodrigo (MCI) — 0.0% owned, 69 ptsN.Gonzalez (MCI) — 0.2% owned, 63 ptsReijnders (MCI) — 0.0% owned, 92 ptsHaaland (MCI) — 77.7% owned, 239 ptsDalot (MUN) — 1.4% owned, 111 ptsMaguire (MUN) — 6.3% owned, 90 ptsShaw (MUN) — 4.7% owned, 113 ptsYoro (MUN) — 0.5% owned, 56 ptsB.Fernandes (MUN) — 25.8% owned, 235 ptsCunha (MUN) — 6.3% owned, 143 ptsAmad (MUN) — 0.3% owned, 91 ptsCasemiro (MUN) — 3.8% owned, 165 ptsMainoo (MUN) — 1.2% owned, 73 ptsPope (NEW) — 0.9% owned, 96 ptsDúbravka (BUR) — 16.3% owned, 96 ptsHall (NEW) — 20.4% owned, 79 ptsBotman (NEW) — 0.8% owned, 89 ptsBurn (NEW) — 0.7% owned, 93 ptsTrippier (NEW) — 1.4% owned, 54 ptsGordon (NEW) — 3.1% owned, 101 ptsBarnes (NEW) — 7.4% owned, 106 ptsBruno G. (NEW) — 2.4% owned, 154 ptsJ.Murphy (NEW) — 0.1% owned, 82 ptsJoelinton (NEW) — 0.0% owned, 73 ptsTonali (NEW) — 1.8% owned, 81 ptsSels (NFO) — 1.4% owned, 105 ptsMilenković (NFO) — 0.8% owned, 119 ptsMurillo (NFO) — 2.2% owned, 83 ptsAina (NFO) — 1.7% owned, 67 ptsN.Williams (NFO) — 6.2% owned, 128 ptsGibbs-White (NFO) — 12.2% owned, 188 ptsHudson-Odoi (NFO) — 0.1% owned, 88 ptsAnderson (NFO) — 3.8% owned, 180 ptsSangaré (NFO) — 0.3% owned, 89 ptsIgor Jesus (NFO) — 1.3% owned, 114 ptsBallard (SUN) — 1.2% owned, 116 ptsHume (SUN) — 2.0% owned, 110 ptsReinildo (SUN) — 0.2% owned, 74 ptsE.Le Fée (SUN) — 2.9% owned, 147 ptsSadiki (SUN) — 0.2% owned, 80 ptsTalbi (SUN) — 0.1% owned, 83 ptsVicario (TOT) — 0.1% owned, 90 ptsPedro Porro (TOT) — 4.7% owned, 117 ptsRomero (TOT) — 0.1% owned, 91 ptsSpence (TOT) — 0.2% owned, 78 ptsVan de Ven (TOT) — 3.6% owned, 116 ptsJohnson (CRY) — 0.1% owned, 65 ptsKudus (TOT) — 0.5% owned, 75 ptsBentancur (TOT) — 0.1% owned, 86 ptsRicharlison (TOT) — 0.5% owned, 119 ptsAreola (WHU) — 1.9% owned, 51 ptsDiouf (WHU) — 0.1% owned, 104 ptsKilman (WHU) — 0.1% owned, 36 ptsMavropanos (WHU) — 2.6% owned, 122 ptsTodibo (WHU) — 0.1% owned, 46 ptsWan-Bissaka (WHU) — 0.2% owned, 67 ptsL.Paquetá (WHU) — 1.0% owned, 69 ptsSouček (WHU) — 0.5% owned, 103 ptsSummerville (WHU) — 1.6% owned, 110 ptsBowen (WHU) — 17.5% owned, 187 ptsJosé Sá (WOL) — 1.1% owned, 68 ptsH.Bueno (WOL) — 0.2% owned, 83 ptsMosquera (WOL) — 0.1% owned, 61 ptsS.Bueno (WOL) — 0.2% owned, 92 ptsAndré (WOL) — 0.1% owned, 96 ptsJ.Gomes (WOL) — 0.1% owned, 107 ptsStrand Larsen (CRY) — 0.6% owned, 75 ptsStach (LEE) — 2.1% owned, 137 ptsEkitiké (LIV) — 0.1% owned, 125 ptsGyökeres (ARS) — 3.1% owned, 128 ptsXhaka (SUN) — 3.0% owned, 124 ptsRoefs (SUN) — 2.1% owned, 136 ptsJ.Palhinha (TOT) — 0.9% owned, 126 ptsUgochukwu (BUR) — 0.1% owned, 97 ptsHermansen (WHU) — 1.0% owned, 76 ptsŠeško (MUN) — 1.1% owned, 111 ptsAlderete (SUN) — 0.2% owned, 125 ptsThiaw (NEW) — 1.8% owned, 126 ptsCalvert-Lewin (LEE) — 22.0% owned, 142 ptsHutchinson (NFO) — 0.1% owned, 82 ptsMukiele (SUN) — 1.8% owned, 151 ptsTchatchoua (WOL) — 0.0% owned, 52 ptsOkafor (LEE) — 0.4% owned, 109 ptsJustin (LEE) — 2.2% owned, 94 ptsM.Fernandes (WHU) — 0.6% owned, 135 ptsKrejčí (WOL) — 0.1% owned, 68 ptsYeremy (CRY) — 0.3% owned, 77 ptsA.Jimenez (BOU) — 0.1% owned, 74 ptsWoltemade (NEW) — 0.4% owned, 108 ptsXavi (TOT) — 0.0% owned, 80 ptsFlorentino (BUR) — 0.1% owned, 84 ptsGeertruida (SUN) — 0.1% owned, 55 ptsHincapie (ARS) — 0.7% owned, 87 ptsKolo Muani (TOT) — 0.4% owned, 52 ptsBrobbey (SUN) — 5.1% owned, 92 ptsLammens (MUN) — 8.3% owned, 109 ptsDonnarumma (MCI) — 7.7% owned, 135 ptsMané (WOL) — 1.4% owned, 74 ptsGroß (BHA) — 46.6% owned, 78 ptsHaalandB.FernandesGabrielSemenyoRiceThiagoWilson

Tap or hover a dot to name the player.

In the zone, most points firstunder 15% owned, top-quartile points

PlayerPointsOwnedPrice
SemenyoMID · MCI2028.3%£8.0m
Gibbs-WhiteMID · NFO18812.2%£7.6m
RiceMID · ARS18412.3%£7.2m
ThiagoFWD · BRE1818.8%£7.2m
AndersonMID · NFO1803.8%£5.7m
SenesiDEF · BOU1753.1%£5.2m
WilsonMID · FUL1681.2%£5.8m
WatkinsFWD · AVL1672.3%£8.7m
TruffertDEF · BOU1652.7%£4.8m
CasemiroMID · MUN1653.8%£5.8m

Source: FPL season totals for 2025/26; ownership live 2026/27. Players with 1,500+ minutes, scaled to the gameweeks played.

Who is on penalties and set pieces?

Set pieces

Live Season 2026/27

Who gained or lost a dutylast 14 days, first choice only

  • HendersonMID · CHE · £4.9m · 1.5%Gained corners3rd → 1st · today
  • JamesDEF · CHE · £5.2m · 3.7%Lost corners1st → 3rd · today
  • NúñezMID · IPS · £4.8m · 0.1%Lost direct free kicks1st → 4th · yesterday
  • EncisoMID · IPS · £5.5m · 0.8%Gained direct free kicks– → 1st · yesterday
  • RudoniMID · COV · £4.9m · 0.6%Gained penalties– → 1st · 8 days ago
  • WrightFWD · COV · £5.3m · 0.1%Lost penalties1st → 2nd · 8 days ago

Today’s first-choice takersgoals and xG this season

PlayerPensFree kicksCornersGoalsxGPriceOwned
SakaMID · ARS1st2nd2nd33.6£9.5m9.6%
RiceMID · ARS–1st1st00.3£7.4m12.3%
BuendíaMID · AVL1st1st2nd11.6£5.9m1.3%
McGinnMID · AVL––1st11.6£5.4m2.9%
Kroupi.JrMID · BOU1st––––£7.3m0.2%
TavernierMID · BOU3rd1st1st42.9£6.3m14.4%
ThiagoFWD · BRE1st––13.7£7.8m8.8%
JensenMID · BRE3rd2nd1st00.1£5.4m0.1%
Lewis-PotterMID · BRE–1st4th21.4£5.5m1.9%
GroßMID · BHA1st1st1st32.2£6.2m46.6%
PalmerMID · CHE1st3rd–21.5£9.8m28.2%
HendersonMID · CHE–2nd1st20.5£4.9m1.5%

Source: FPL set-piece order, kept as a daily snapshot by us since 19 Aug 2026; latest 25 Oct. Today’s order: FPL, refreshed daily. Goals include penalties and free kicks, and FPL does not split them out.

When do I play each chip?

Chip Targets

Last Season 2025/26Updates with season start

Plan your chip weeks in the Squad Planner →

The season by gameweek2025/26

1234mean projected points5101520253035gameweek
double gameweekblank gameweeknormalbar height = mean projected points that week · model starts at GW8 · 2025/26

Triple Captain candidates — GW362025/26

Blank and double gameweeks2025/26

GWTeams playingDoublingBlankingMean proj pts
GW26202–3.5
GW3116–43.1
GW33206–4.1
GW3414–63.0
GW36202–3.5