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Week 4 fantasy TE rankings (PPR)

Every TE’s projected points for week 4 in PPR scoring, in the order we pinned them before the first kickoff. Points come first; the Advanced switch adds our model’s number, the last 4 games average, and each player’s z-score and percentile among tight ends.

This is week 4 as it was pinned. The current week is week 6.

QBRBWRTEKDEFPPRHalf PPRStandard

The pinned projections, a blend of our model and each player’s last four games · Built Tue, Sep 29, and saved before the first kickoff · fingerprint 05fc8eb1: the code that proves these numbers haven’t changed since they were saved

TE · PPR · points
  1. 1Brock BowersLVvs KCOur model 14.5 · Last 4 games 27.6 · z-score +3.28 · 99th percentile16.8 projected points80% range 6.5 to 33.8
  2. 2Sam LaPortaDETvs CAROur model 15.1 · Last 4 games 11.5 · z-score +2.64 · 98th percentile14.4 projected points80% range 5.0 to 28.6
  3. 3Harold Fannin Jr.CLEvs PITOur model 14.3 · Last 4 games 12.9 · z-score +2.55 · 98th percentile14.1 projected points80% range 4.8 to 27.9
  4. 4Travis KelceKCvs LVOur model 13.3 · Last 4 games 16.4 · z-score +2.48 · 97th percentile13.8 projected points80% range 4.7 to 27.3
  5. 5George KittleSFvs DENOur model 13.4 · Last 4 games 15.8 · z-score +2.47 · 96th percentile13.8 projected points80% range 4.7 to 27.3
  6. 6Trey McBrideARIvs NYGOur model 12.5 · Last 4 games 19.7 · z-score +2.46 · 95th percentile13.7 projected points80% range 4.6 to 27.1
  7. 7Dalton KincaidBUFvs NEOur model 12.5 · Last 4 games 14.8 · z-score +2.24 · 94th percentile12.9 projected points80% range 4.1 to 25.4
  8. 8Tyler WarrenINDvs WASOur model 12.3 · Last 4 games 13.1 · z-score +2.11 · 94th percentile12.4 projected points80% range 3.8 to 24.3
  9. 9Juwan JohnsonNOvs ATLOur model 10.3 · Last 4 games 16.1 · z-score +1.80 · 93rd percentile11.3 projected points80% range 3.1 to 21.8
  10. 10Tucker KraftGBvs TBOur model 11.7 · Last 4 games 6.5 · z-score +1.67 · 92nd percentile10.8 projected points80% range 2.8 to 20.8
  11. 11Isaiah LikelyNYGvs ARIOur model 10.3 · Last 4 games 13.1 · z-score +1.66 · 91st percentile10.8 projected points80% range 2.8 to 20.6
  12. 12Dalton SchultzHOUvs DALOur model 10.2 · Last 4 games 13.2 · z-score +1.65 · 90th percentile10.7 projected points80% range 2.7 to 20.6
  13. 13Mike GesickiCINvs JAXOur model 9.5 · Last 4 games 15.8 · z-score +1.61 · 89th percentile10.6 projected points80% range 2.7 to 20.3
  14. 14Mark AndrewsBALvs TENOur model 10.0 · Last 4 games 8.4 · z-score +1.37 · 89th percentile9.7 projected points80% range 2.2 to 18.8
  15. 15Kenyon SadiqNYJvs CHIQuestionable (back) on the week 4 official injury report; limitedOur model 8.9 · Last 4 games 12.9 · z-score +1.35 · 88th percentile9.6 projected points80% range 2.2 to 18.7
  16. 16Dallas GoedertPHIvs LAOut (knee) on the week 4 official injury report; dnpOur model 8.9 · Last 4 games 12.6 · z-score +1.33 · 87th percentile9.6 projected points80% range 2.2 to 18.6
  17. 17Pat FreiermuthPITvs CLEOur model 9.3 · Last 4 games 9.4 · z-score +1.26 · 86th percentile9.3 projected points80% range 2.1 to 18.4
  18. 18Michael MayerLVvs KCOur model 9.3 · Last 4 games 8.9 · z-score +1.24 · 85th percentile9.2 projected points80% range 2.1 to 18.4
  19. 19Cade OttonTBvs GBOur model 9.4 · Last 4 games 7.7 · z-score +1.21 · 85th percentile9.1 projected points80% range 2.0 to 18.3
  20. 20Jake FergusonDALvs HOUOur model 8.4 · Last 4 games 10.7 · z-score +1.12 · 84th percentile8.8 projected points80% range 1.9 to 18.0
  21. 21AJ BarnerSEAvs LACOur model 8.8 · Last 4 games 7.7 · z-score +1.08 · 83rd percentile8.6 projected points80% range 1.9 to 17.9
  22. 22Darren WallerCARvs DETOur model 8.0 · Last 4 games 11.1 · z-score +1.05 · 82nd percentile8.5 projected points80% range 1.9 to 17.8
  23. 23T.J. HockensonMINvs MIAOur model 8.7 · Last 4 games 7.5 · z-score +1.04 · 81st percentile8.5 projected points80% range 1.8 to 17.8
  24. 24Colston LovelandCHIvs NYJOur model 9.4 · Last 4 games 2.8 · z-score +0.99 · 81st percentile8.3 projected points80% range 1.8 to 17.6
  25. 25Hunter HenryNEvs BUFOur model 8.8 · Last 4 games 4.7 · z-score +0.93 · 80th percentile8.1 projected points80% range 1.7 to 17.3
  26. 26Tyler HigbeeLAvs PHIOur model 7.2 · Last 4 games 10.7 · z-score +0.87 · 79th percentile7.8 projected points80% range 1.7 to 16.9
  27. 27Noah FantNOvs ATLQuestionable (abdomen) on the week 4 official injury report; limitedOur model 5.9 · Last 4 games 16.3 · z-score +0.84 · 78th percentile7.7 projected points80% range 1.7 to 16.7
  28. 28Brenton StrangeJAXvs CINOur model 7.7 · Last 4 games 6.7 · z-score +0.79 · 77th percentile7.5 projected points80% range 1.6 to 16.4
  29. 29Greg DulcichMIAvs MINOur model 7.6 · Last 4 games 6.0 · z-score +0.73 · 76th percentile7.3 projected points80% range 1.6 to 16.1
  30. 30Evan EngramDENvs SFOur model 7.4 · Last 4 games 5.7 · z-score +0.67 · 76th percentile7.1 projected points80% range 1.5 to 15.7
  31. 31Kyle PittsATLvs NOOur model 8.0 · Last 4 games 1.3 · z-score +0.59 · 75th percentile6.8 projected points80% range 1.4 to 15.3
  32. 32Terrance FergusonLAvs PHIOut (ankle) on the week 4 official injury report; dnpOur model 6.2 · Last 4 games 6.4 · z-score +0.45 · 74th percentile6.3 projected points80% range 1.2 to 14.6
  33. 33Chig OkonkwoWASvs INDOur model 6.8 · Last 4 games 3.6 · z-score +0.44 · 73rd percentile6.3 projected points80% range 1.2 to 14.5
  34. 34Tommy TrembleCARvs DETOur model 6.4 · Last 4 games 4.7 · z-score +0.41 · 72nd percentile6.1 projected points80% range 1.2 to 14.4
  35. 35Oronde Gadsden IILACvs SEAOur model 5.8 · Last 4 games 5.0 · z-score +0.28 · 72nd percentile5.7 projected points80% range 0.9 to 13.6
  36. 36Zach ErtzPHIvs LAOur model 6.4 · Last 4 games 1.9 · z-score +0.27 · 71st percentile5.6 projected points80% range 0.9 to 13.5
  37. 37Gunnar HelmTENvs BALOur model 5.8 · Last 4 games 4.5 · z-score +0.26 · 70th percentile5.6 projected points80% range 0.9 to 13.4
  38. 38Theo JohnsonNYGvs ARIOur model 5.9 · Last 4 games 0.9 · z-score +0.12 · 69th percentile5.1 projected points80% range 0.5 to 11.8
  39. 39Darnell WashingtonPITvs CLEOur model 5.0 · Last 4 games 5.1 · z-score +0.11 · 68th percentile5.0 projected points80% range 0.4 to 11.7
  40. 40Mason TaylorNYJvs CHIOut (thumb) on the week 4 official injury report; dnpOur model 5.4 · Last 4 games 1.8 · z-score +0.03 · 68th percentile4.7 projected points80% range 0.2 to 10.8
  41. 41Jeremy RuckertNYJvs CHIOur model 4.3 · Last 4 games 6.3 · z-score 0.00 · 67th percentile4.6 projected points80% range 0.1 to 10.4
  42. 42Jonnu SmithGBvs TBOur model 4.3 · Last 4 games 5.3 · z-score −0.02 · 66th percentile4.5 projected points80% range 0.0 to 10.2
  43. 43Austin HooperATLvs NOOur model 4.0 · Last 4 games 6.5 · z-score −0.04 · 65th percentile4.5 projected points80% range 0.0 to 9.9
  44. 44Foster MoreauHOUvs DALOur model 3.8 · Last 4 games 5.9 · z-score −0.12 · 63rd percentile4.2 projected points80% range 0.0 to 8.9
  45. 45Colby ParkinsonLAvs PHIQuestionable (knee) on the week 4 official injury report; dnpOur model 4.7 · Last 4 games 1.7 · z-score −0.12 · 63rd percentile4.2 projected points80% range 0.0 to 8.9
  46. 46Noah GrayKCvs LVOur model 4.3 · Last 4 games 2.8 · z-score −0.14 · 63rd percentile4.1 projected points80% range 0.0 to 8.7
  47. 47Cole KmetCHIvs NYJOur model 4.0 · Last 4 games 3.8 · z-score −0.16 · 62nd percentile4.0 projected points80% range 0.0 to 8.5
  48. 48Dawson KnoxBUFvs NEOur model 4.0 · Last 4 games 3.9 · z-score −0.17 · 60th percentile4.0 projected points80% range 0.0 to 8.4
  49. 49Eli RaridonNEvs BUFQuestionable (thigh) on the week 4 official injury report; limitedOur model 3.6 · Last 4 games 5.6 · z-score −0.17 · 60th percentile4.0 projected points80% range 0.0 to 8.4
  50. 50Nate AdkinsDENvs SFOur model 2.6 · Last 4 games 10.3 · z-score −0.18 · 59th percentile4.0 projected points80% range 0.0 to 8.3
  51. 51Mitchell EvansCARvs DETOur model 4.0 · Last 4 games 3.6 · z-score −0.18 · 59th percentile4.0 projected points80% range 0.0 to 8.3
  52. 52Matthew HibnerBALvs TENOur model 3.4 · Last 4 games 6.3 · z-score −0.20 · 58th percentile3.9 projected points80% range 0.0 to 8.0
  53. 53Josh OliverMINvs MIAOn injured reserve (weekly roster, week 4)Our model 3.8 · Last 4 games 3.8 · z-score −0.21 · 56th percentile3.8 projected points80% range 0.0 to 7.8
  54. 54Drew SampleCINvs JAXOur model 4.0 · Last 4 games 3.0 · z-score −0.21 · 56th percentile3.8 projected points80% range 0.0 to 7.8
  55. 55Adam TrautmanDENvs SFOur model 3.8 · Last 4 games 3.0 · z-score −0.26 · 55th percentile3.6 projected points80% range 0.0 to 7.3
  56. 56Ja'Tavion SandersCARvs DETOur model 3.6 · z-score −0.28 · 55th percentile3.6 projected points80% range 0.0 to 7.1
  57. 57Elijah HigginsARIvs NYGOur model 3.2 · Last 4 games 5.0 · z-score −0.30 · 54th percentile3.5 projected points80% range 0.0 to 7.0
  58. 58Sam RoushCHIvs NYJOur model 3.7 · Last 4 games 2.3 · z-score −0.31 · 53rd percentile3.5 projected points80% range 0.0 to 6.9
  59. 59Davis AllenLAvs PHIOur model 3.4 · Last 4 games 2.6 · z-score −0.36 · 52nd percentile3.3 projected points80% range 0.0 to 6.6
  60. 60Charlie KolarLACvs SEAOut (forearm) on the week 4 official injury report; limitedOur model 2.8 · Last 4 games 5.1 · z-score −0.38 · 51st percentile3.2 projected points80% range 0.0 to 6.5
  61. 61Erick AllCINvs JAXOur model 3.2 · Last 4 games 2.5 · z-score −0.40 · 50th percentile3.1 projected points80% range 0.0 to 6.4
  62. 62Elijah ArroyoSEAvs LACOur model 3.1 · Last 4 games 2.7 · z-score −0.42 · 50th percentile3.1 projected points80% range 0.0 to 6.3
  63. 63Brock WrightDETvs CAROur model 3.2 · Last 4 games 2.1 · z-score −0.43 · 49th percentile3.0 projected points80% range 0.0 to 6.2
  64. 64Luke SchoonmakerDALvs HOUOur model 3.2 · Last 4 games 2.0 · z-score −0.44 · 48th percentile3.0 projected points80% range 0.0 to 6.2
  65. 65Tanner HudsonCINvs JAXOur model 3.1 · Last 4 games 2.4 · z-score −0.44 · 47th percentile3.0 projected points80% range 0.0 to 6.1
  66. 66Daniel BellingerTENvs BALOur model 3.2 · Last 4 games 1.8 · z-score −0.45 · 46th percentile2.9 projected points80% range 0.0 to 6.1
  67. 67Blake WhiteheartCLEvs PITOur model 2.4 · Last 4 games 5.5 · z-score −0.45 · 46th percentile2.9 projected points80% range 0.0 to 6.1
  68. 68Jelani WoodsNYJvs CHIOur model 2.9 · Last 4 games 3.0 · z-score −0.47 · 45th percentile2.9 projected points80% range 0.0 to 6.0
  69. 69Brevyn Spann-FordDALvs HOUOur model 2.8 · Last 4 games 3.1 · z-score −0.48 · 44th percentile2.8 projected points80% range 0.0 to 5.9
  70. 70Marlin KleinHOUvs DALOur model 2.9 · Last 4 games 2.6 · z-score −0.48 · 43rd percentile2.8 projected points80% range 0.0 to 5.8
  71. 71Tyler ConklinDETvs CAROur model 2.7 · z-score −0.51 · 42nd percentile2.7 projected points80% range 0.0 to 5.6
  72. 72John BatesWASvs INDOur model 2.6 · Last 4 games 2.6 · z-score −0.53 · 42nd percentile2.6 projected points80% range 0.0 to 5.4
  73. 73Ben SinnottWASvs INDOur model 3.0 · Last 4 games 0.8 · z-score −0.54 · 41st percentile2.6 projected points80% range 0.0 to 5.3
  74. 74Ian ThomasLVvs KCOur model 2.7 · Last 4 games 2.1 · z-score −0.55 · 40th percentile2.6 projected points80% range 0.0 to 5.2
  75. 75Nate BoerkircherJAXvs CINOur model 2.9 · Last 4 games 0.9 · z-score −0.56 · 39th percentile2.5 projected points80% range 0.0 to 5.1
  76. 76Oscar DelpNOvs ATLOur model 2.7 · Last 4 games 1.8 · z-score −0.56 · 38th percentile2.5 projected points80% range 0.0 to 5.1
  77. 77Eric SaubertSEAvs LACOur model 2.1 · Last 4 games 4.2 · z-score −0.58 · 37th percentile2.5 projected points80% range 0.0 to 5.0
  78. 78Josh CuevasBALvs TENOur model 2.4 · Last 4 games 2.4 · z-score −0.60 · 37th percentile2.4 projected points80% range 0.0 to 4.7
  79. 79Mo Alie-CoxINDvs WASOur model 2.3 · Last 4 games 2.6 · z-score −0.60 · 36th percentile2.4 projected points80% range 0.0 to 4.7
  80. 80Luke FarrellSFvs DENOur model 2.4 · Last 4 games 1.9 · z-score −0.61 · 35th percentile2.3 projected points80% range 0.0 to 4.6
  81. 81Max KlareLAvs PHIOur model 2.2 · z-score −0.64 · 34th percentile2.2 projected points80% range 0.0 to 4.5
  82. 82Johnny MundtPHIvs LAOur model 2.3 · Last 4 games 2.1 · z-score −0.64 · 33rd percentile2.2 projected points80% range 0.0 to 4.5
  83. 83Brevin JordanHOUvs DALOur model 2.2 · z-score −0.64 · 32nd percentile2.2 projected points80% range 0.0 to 4.5
  84. 84Jack EndriesCINvs JAXOur model 2.2 · z-score −0.64 · 32nd percentile2.2 projected points80% range 0.0 to 4.5
  85. 85Jackson HawesBUFvs NEOur model 2.7 · Last 4 games 0.0 · z-score −0.65 · 31st percentile2.2 projected points80% range 0.0 to 4.5
  86. 86Justin JolyMIAvs MINOur model 2.0 · z-score −0.69 · 30th percentile2.0 projected points80% range 0.0 to 4.4
  87. 87Cade StoverHOUvs DALOur model 2.3 · Last 4 games 0.8 · z-score −0.69 · 29th percentile2.0 projected points80% range 0.0 to 4.4
  88. 88Will KacmarekMIAvs MINOur model 2.3 · Last 4 games 0.7 · z-score −0.70 · 29th percentile2.0 projected points80% range 0.0 to 4.4
  89. 89Jake BriningstoolKCvs LVOur model 2.2 · Last 4 games 0.9 · z-score −0.71 · 28th percentile2.0 projected points80% range 0.0 to 4.3
  90. 90Tanner KoziolJAXvs CINOur model 1.9 · z-score −0.72 · 27th percentile1.9 projected points80% range 0.0 to 4.3
  91. 91Josh WhyleGBvs TBOur model 1.9 · z-score −0.73 · 25th percentile1.9 projected points80% range 0.0 to 4.3
  92. 92Jared WileyKCvs LVOur model 1.9 · z-score −0.73 · 25th percentile1.9 projected points80% range 0.0 to 4.3
  93. 93Colson YankoffWASvs INDOur model 1.9 · Last 4 games 1.8 · z-score −0.74 · 24th percentile1.9 projected points80% range 0.0 to 4.3
  94. 94Seydou TraoreMIAvs MINOur model 1.9 · z-score −0.74 · 24th percentile1.9 projected points80% range 0.0 to 4.3
  95. 95Robert TonyanPITvs CLEOur model 1.9 · Last 4 games 1.2 · z-score −0.75 · 23rd percentile1.8 projected points80% range 0.0 to 4.3
  96. 96Tanner ArkinNEvs BUFOur model 1.8 · z-score −0.76 · 22nd percentile1.8 projected points80% range 0.0 to 4.3
  97. 97Kylen GransonTENvs BALOur model 1.8 · z-score −0.76 · 20th percentile1.8 projected points80% range 0.0 to 4.3
  98. 98Gavin BartholomewMINvs MIAOur model 1.8 · z-score −0.76 · 20th percentile1.8 projected points80% range 0.0 to 4.3
  99. 99Dallen BentleyDENvs SFOur model 1.7 · z-score −0.77 · 20th percentile1.7 projected points80% range 0.0 to 4.2
  100. 100Hunter LongARIvs NYGOur model 1.7 · Last 4 games 1.5 · z-score −0.79 · 19th percentile1.7 projected points80% range 0.0 to 4.2
  101. 101Quintin MorrisJAXvs CINOur model 1.8 · Last 4 games 0.8 · z-score −0.80 · 18th percentile1.6 projected points80% range 0.0 to 4.2
  102. 102Patrick HerbertLACvs SEAOur model 1.6 · z-score −0.81 · 17th percentile1.6 projected points80% range 0.0 to 4.2
  103. 103Connor HeywardLVvs KCOur model 1.5 · z-score −0.83 · 16th percentile1.5 projected points80% range 0.0 to 4.2
  104. 104David Martin-RobinsonTENvs BALOur model 1.5 · z-score −0.83 · 15th percentile1.5 projected points80% range 0.0 to 4.2
  105. 105Durham SmytheBALvs TENOur model 1.6 · Last 4 games 0.7 · z-score −0.85 · 14th percentile1.5 projected points80% range 0.0 to 4.2
  106. 106Charlie WoernerATLvs NOOur model 1.8 · Last 4 games 0.0 · z-score −0.85 · 14th percentile1.5 projected points80% range 0.0 to 4.2
  107. 107Andrew OgletreeINDvs WASOur model 1.8 · Last 4 games 0.0 · z-score −0.85 · 13th percentile1.4 projected points80% range 0.0 to 4.2
  108. 108Mark RedmanGBvs TBOur model 1.4 · z-score −0.86 · 12th percentile1.4 projected points80% range 0.0 to 4.2
  109. 109Payne DurhamTBvs GBOur model 1.6 · Last 4 games 0.0 · z-score −0.88 · 11th percentile1.3 projected points80% range 0.0 to 4.2
  110. 110Keleki LatuBUFvs NEOur model 1.3 · z-score −0.89 · 11th percentile1.3 projected points80% range 0.0 to 4.2
  111. 111Chris ManhertzNYGvs ARIOur model 1.2 · z-score −0.91 · 9th percentile1.2 projected points80% range 0.0 to 4.2
  112. 112Carsen RyanCLEvs PITOur model 1.2 · z-score −0.91 · 9th percentile1.2 projected points80% range 0.0 to 4.2
  113. 113T.FidoneNYGvs ARIOur model 1.1 · z-score −0.93 · 8th percentile1.1 projected points80% range 0.0 to 4.2
  114. 114Bauer SharpTBvs GBOur model 1.1 · z-score −0.94 · 7th percentile1.1 projected points80% range 0.0 to 4.2
  115. 115Nick MuseATLvs NOOur model 1.0 · z-score −0.96 · 7th percentile1.0 projected points80% range 0.0 to 4.2
  116. 116Cameron LatuNEvs BUFOur model 0.9 · z-score −1.00 · 6th percentile0.9 projected points80% range 0.0 to 4.2
  117. 117Hayden RucciLACvs SEAOur model 0.9 · z-score −1.00 · 5th percentile0.9 projected points80% range 0.0 to 4.2
  118. 118Treyton WelchNOvs ATLOur model 0.9 · z-score −1.01 · 4th percentile0.9 projected points80% range 0.0 to 4.2
  119. 119E.J. JenkinsPHIvs LAOur model 0.8 · z-score −1.01 · 3rd percentile0.8 projected points80% range 0.0 to 4.2
  120. 120N.KallerupSEAvs LACOur model 0.8 · z-score −1.02 · 2nd percentile0.8 projected points80% range 0.0 to 4.2
  121. 121Feleipe FranksCARvs DETOur model 0.7 · z-score −1.05 · 1st percentile0.7 projected points80% range 0.0 to 4.2
  122. 122Ko KieftTBvs GBOut (elbow) on the week 4 official injury report; dnpOur model 0.7 · z-score −1.05 · 1st percentile0.7 projected points80% range 0.0 to 4.2
  123. 123Brayden WillisSFvs DENOur model 0.7 · z-score −1.06 · 0th percentile0.7 projected points80% range 0.0 to 4.2

Status is week 4’s official injury report (Out, Doubtful, Questionable) or a reserve list from the weekly rosters (IR, PUP). Facts only: a status never moves a player or changes his points.

Week 4 is graded: see its grade on the track record.

Every position in week 6 · Rest-of-season TE rankings · Rankings and the draft board