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NFL fantasy projections for this week

Projected fantasy points for every quarterback, running back, receiver and tight end with a game this week. The numbers come from the same player model that prices our NFL player props — and every pick that model makes is graded in public, wins and losses. Pick your scoring, pick a position, set your lineup.

Updated 9 Sep 2026 UTC · 856 players projected · refreshed daily as lines move
DraftKings scoring: DraftKings Classic rules: 0.04 per passing yard, 4 per passing touchdown, −1 per interception, 0.1 per rushing or receiving yard, 6 per touchdown, 1 per catch, and a 3-point bonus at 300 passing yards or 100 rushing or receiving yards (we award it when the projection clears the line). Fumbles and two-point conversions aren't projected, so they score 0 here.
Position All QB RB WR TE FLEX
#Player Pos Pts Pass ydsPass TDRush ydsCatchesRec ydsRun/catch TDs
1 Trey McBride ARI TE 19.9 25.10.21.26.381.60.6
2 Brock Bowers LV TE 16.6 24.30.244.970.20.4
3 Tyler Warren IND TE 16.4 27.40.23659.90.4
4 Kyle Pitts ATL TE 14.5 11.90.14.971.20.3
5 Sam LaPorta DET TE 12.3 10.501.3554.60.2
6 Juwan Johnson NO TE 12.2 6.500.64.561.70.2
7 Albert Okwuegbunam LV TE 12.1 52.10.24.64.436.20.1
8 Cade Otton TB TE 11.1 1.800.55.150.50.1
9 Jake Ferguson DAL TE 10.7 5.90.14320.5
10 Chig Okonkwo TEN TE 10.5 4.600.83.755.80.1
11 Dallas Goedert PHI TE 9.5 1.900.92.427.60.7
12 Greg Dulcich MIA TE 9.5 6.20.13.9440.1
13 George Kittle SF TE 9.4 4.20.12.842.20.3
14 Travis Kelce KC TE 9 2.802.22.737.10.4
15 Kylen Granson PHI TE 8.6 9.40.11.23.835.30.1
16 Dalton Kincaid BUF TE 8.6 6.60.10.2529.40
17 Michael Mayer LV TE 8.4 6.902.73.133.10.2
18 Moliki Matavao NO TE 8.1 35.70.24.52.525.60.1
19 Pharaoh Brown ARI TE 8.1 420.23.32.425.30.1
20 Jake Tonges SF TE 8 4.50.14.1320.1
21 Harold Fannin Jr. CLE TE 8 5.401.31.438.60.4
22 Elijah Higgins ARI TE 7.8 1.600.83.432.50.2
23 AJ Barner SEA TE 7.8 6.40.11.33.831.60
24 Dawson Knox BUF TE 7.7 7.500.23.831.50
25 Hunter Henry NE TE 7.6 8.400.24.525.6
26 Colby Parkinson LA TE 7.5 4.200.24.227.60
27 Drew Sample CIN TE 7.4 2.500.73.432.40.1
28 Pat Freiermuth PIT TE 7.3 3.500.52.330.80.3
29 Keleki Latu BUF TE 7.3 5.302.2332.10.1
30 Jonnu Smith PIT TE 7.1 3.805.3228.80.3
31 Mark Andrews BAL TE 7.1 5.501.61.725.90.4
32 Mike Gesicki CIN TE 7.1 1.6012.934.10.1
33 Oronde Gadsden II LAC TE 7.1 001.32.228.30.3
34 Mo Alie-Cox IND TE 7.1 1.201.33.131.80.1
35 Tanner Hudson CIN TE 7.1 2.7013.323.70.2
36 Colston Loveland CHI TE 7 2.703.627.70.1
37 Mason Taylor NYJ TE 7 4.200.9332.60.1
38 Evan Engram DEN TE 6.9 0.100.42.734.90.1
39 Carter Runyon LV TE 6.7 47.60.24.71.414.50.1
40 Brenton Strange JAX TE 6.6 1.800.82.428.70.2
41 Noah Gray KC TE 6.1 0.901.62.626.20.1
42 Shane Zylstra DET TE 6.1 32.20.23.91.514.50.1
43 Will Mallory IND TE 6.1 39.10.24.61.414.50.1
44 Jared Wiley KC TE 6 38.30.24.11.414.50.1
45 Josh Oliver MIN TE 5.9 4.601.52.8250
46 Theo Johnson NYG TE 5.7 3.701.223.40.3
47 Robert Tonyan KC TE 5.5 30.60.14.31.414.50.1
48 Tucker Kraft GB TE 5.3 21.90.22.95.20.1
49 Zach Horton DET TE 5.3 28.30.1100.76.50.2
50 Jackson Meeks DET TE 5.3 28.30.1100.76.50.2
51 Thomas Yassmin LAC TE 5.3 29.60.210.10.76.50.2
52 Brevyn Spann-Ford DAL TE 5.2 2.302.324.40.1
53 Darren Waller MIA TE 5.1 70.11.12.218.60.1
54 Mark Redman LA TE 5 25.10.19.70.76.50.2
55 Cameron Latu PHI TE 4.9 25.30.29.60.76.50.2
56 Stephen Carlson CHI TE 4.9 25.70.19.50.76.50.2
57 Princeton Fant DAL TE 4.9 25.10.19.60.76.50.2
58 Qadir Ismail CHI TE 4.9 25.70.19.50.76.50.2
59 Thomas Gordon CHI TE 4.9 25.70.19.50.76.50.2
60 Nikola Kalinic CHI TE 4.9 25.70.19.50.76.50.2
61 Gavin Bartholomew MIN TE 4.8 24.20.29.40.76.50.2
62 Bryson Nesbit MIN TE 4.8 24.20.29.40.76.50.2
63 Jake Briningstool KC TE 4.8 23.90.29.30.76.50.2
64 Tre Watson KC TE 4.8 23.90.29.30.76.50.2
65 JJ Galbreath PIT TE 4.8 22.10.29.40.76.50.2
66 Treyton Welch NO TE 4.7 23.90.28.90.76.50.2
67 Shawn Bowman JAX TE 4.7 24.20.19.60.76.50.2
68 Mason Pline NO TE 4.7 23.90.28.90.76.50.2
69 Tommy Tremble CAR TE 4.7 2.401.42.2130.1
70 Patrick Herbert JAX TE 4.7 24.20.19.60.76.50.2
71 McCallan Castles GB TE 4.7 22.80.19.20.76.50.2
72 Messiah Swinson GB TE 4.7 22.80.19.20.76.50.2
73 Rivaldo Fairweather ARI TE 4.7 25.50.28.60.76.20.2
74 Brock Wright DET TE 4.6 7.1011.714.20.2
75 Hayden Rucci SF TE 4.6 23.40.19.10.76.50.2
76 Thomas Fidone II NYG TE 4.6 23.10.19.20.76.50.2
77 Jermaine Terry NYG TE 4.6 23.10.19.20.76.50.2
78 Joel Wilson TEN TE 4.6 22.40.290.76.20.2
79 Marshall Lang NE TE 4.5 23.10.190.76.20.2
80 Caleb Lohner DEN TE 4.5 22.90.190.76.20.2
81 CJ Dippre NE TE 4.5 23.10.190.76.20.2
82 Thomas Odukoya NE TE 4.5 23.10.190.76.20.2
83 Gunnar Helm TEN TE 4.4 3.901.31.219.50.2
84 T.J. Hockenson MIN TE 4.4 101.81.117.10.2
85 Stone Smartt NYJ TE 4.4 9.20.12.81.814.80.1
86 David Njoku CLE TE 4.4 1.700.829.40.2
87 Luke Musgrave GB TE 4.3 5.7001.816.80.1
88 Joshua Simon ATL TE 4.3 20.90.18.80.76.20.2
89 Zack Kuntz NYJ TE 4.3 21.50.28.80.76.20.1
90 Dalton Schultz HOU TE 4.2 0.92.415.40.1
91 Erick All CIN TE 4.2 1.201.81.7130.1
92 Caden Prieskorn CLE TE 4.1 190.18.30.76.20.1
93 Mitch Van Vooren CLE TE 4.1 190.18.30.76.20.1
94 Ben Sinnott WAS TE 3.8 4.201.11.5150.1
95 Tyler Conklin LAC TE 3.8 1.2021.413.30.1
96 Devin Culp TB TE 3.8 35.30.24.70.33.30.1
97 Austin Hooper NE TE 3.7 9.20.10.11.712.70
98 Charlie Woerner ATL TE 3.7 30.10.21.711.60.1
99 Andrew Ogletree IND TE 3.6 6.302.51.312.40.1
100 Daniel Bellinger NYG TE 3.6 2.600.41.414.20.1
101 Drake Dabney GB TE 3.6 34.80.23.90.33.30.1
102 Nick Muse NYJ TE 3.6 33.30.23.90.330.1
103 Johnny Mundt JAX TE 3.5 2.2001.612.10.1
104 Brayden Willis SF TE 3.5 33.10.23.90.33.30.1
105 Jeremy Ruckert NYJ TE 3.4 4.101.11.613.10
106 Jaheim Bell PIT TE 3.4 1.701.61.612.10.1
107 David Martin-Robinson TEN TE 3.4 3.801.71.612.10
108 Josh Whyle GB TE 3.3 8.600.21.212.40.1
109 Brevin Jordan HOU TE 3.2 2.400.21.513.80
110 Foster Moreau NO TE 3.2 2.800.71.311.90.1
111 Chris Myarick MIA TE 3.2 2.601.512.10.1
112 Luke Farrell SF TE 3.2 4.90.11.511.90
113 Darnell Washington PIT TE 3.2 4.100.91.19.90.1
114 Nate Adkins DEN TE 3.2 2.500.31.611.40
115 Davis Allen LA TE 3.1 6.801.210.10.1
116 Lucas Krull DEN TE 3.1 4.701.61.212.10
117 Isaiah Likely BAL TE 3.1 1.901.210.60.1
118 Durham Smythe CHI TE 3 2.301.412.40
119 Cole Turner TEN TE 3 2.500.61.17.50.2
120 Noah Fant CIN TE 3 301.315.80.2
121 Jackson Hawes BUF TE 2.8 1.201.214.20
122 Ben Yurosek MIN TE 2.7 6.903.70.94.30.1
123 Ben Sims MIN TE 2.7 90.12.40.74.70.1
124 Ian Thomas LV TE 2.4 4.302.80.84.40.1
125 Cole Kmet CHI TE 2.4 18.80.10.90.60.1
126 Elijah Arroyo SEA TE 2.4 5.200.88.10.1
127 Ja'Tavion Sanders CAR TE 2.2 0.416.40.1
128 Cade Stover HOU TE 2.1 1.50.80.93.90.1
129 Hunter Long JAX TE 2.1 2.501.213.70.1
130 Nick Kallerup SEA TE 2.1 9.403.90.33.30.1
131 Chris Manhertz NYG TE 1.9 8.80.11.70.72.60
132 Quintin Morris JAX TE 1.9 7.400.10.73.50.1
133 Cam Grandy CIN TE 1.9 5.102.10.330.1
134 Mitchell Evans CAR TE 1.9 302.80.72.80.1
135 Nick Vannett LA TE 1.8 1.301.10.92.50.1
136 Grant Calcaterra PHI TE 1.8 6.100.63.20.1
137 Eric Saubert SEA TE 1.8 5.100.10.53.50.1
138 Tyler Higbee LA TE 1.7 4.200.10.720.1
139 Zaire Mitchell-Paden NO TE 1.7 7.302.60.21.10.1
140 Julian Hill MIA TE 1.7 1.5000.560.1
141 James Mitchell CAR TE 1.7 5.10.11.90.22.30.1
142 E.J. Jenkins PHI TE 1.6 6.80.10.32.70.1
143 Tip Reiman ARI TE 1.6 8.900.50.33.80.1
144 Feleipe Franks ATL TE 1.5 7.2030.40.80.1
145 Payne Durham TB TE 1.5 7.802.10.22.40.1
146 Terrance Ferguson LA TE 1.5 1.200.30.90.80.1
147 Luke Schoonmaker DAL TE 1.5 1.800.62.80.1
148 Adam Trautman DEN TE 1.4 0.50.20.82.50.1
149 Ko Kieft TB TE 1.3 2.800.70.420.1
150 Teagan Quitoriano ATL TE 1.3 1.9010.61.90.1
151 Jack Westover NE TE 1.3 8.500.30.41.10
152 Jelani Woods NYJ TE 1.2 10.502.50.10.40.1
153 Charlie Kolar BAL TE 1.2 0.200.53.60.1
154 Colson Yankoff WAS TE 1.2 3.900.34.40
155 John Bates WAS TE 1.1 0.800.50.42.50.1
156 Blake Whiteheart CLE TE 0.6 2.300.60.40.4

Who's in the table: Every player our model projects a stat line for this week.

Where the projections come from: our player model projects each player's stat line for the game and the points are simply that line scored with the rules above. It's the same model behind our NFL player props, whose picks are graded in public. Projections are estimates, not promises: injuries, weather and how the game unfolds all move them, so we refresh daily.

Get this as data: ?format=csv or ?format=json serve the table with stable columns (rank, player, team, position, points in every scoring system above, then the stat line). Free to use with credit (CC BY 4.0). Add &pos=rb to filter a position.

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