Team Independent Efficiency(TIE) - Tight Ends
Introducing a new advanced statistic I'll be posting in the preseason for each position. (Link to RB post) (Link to WR Post). They will be incorporated into my projections this coming season.
Team Independent Efficiency(TIE) - A rating I've cultivated to try to separate a player's efficacy from their team/situation. This can be useful when a player changes situation/team and can be used to better judge how the change will affect each individual.
These values below are from last year, qualified Tight Ends had at least 50 receptions. To attempt to isolate a player's contribution on a per catch basis I normalized every Tight End to a league average Deep Target %, Shallow Target %, In Stride Throw %, Off Target but Catchable % and calculated an adjusted Yards after the Catch(YAC), Catch Rate(CR), and Average Depth of Target(aDOT) for each player. I also used Missed Tackles Forced(MTF) to assign how much of a players YAC was individual talent and how much was being thrown into space or plays designed for YAC. For aDOT I used team averages and league averages to attempt to assign what portion of their aDOT is earned vs what portion is just a team effort to push the ball downfield.
Note: There is a heavy emphasis on being the primary target for your team, that's why McBride and Bowers end up ahead of Kittle even with lower adjusted baseline stats. Also, Tight End ratings won't match WR ratings, even though I used a similar process, I placed different weights on each stat and used averages from within each respective position.
| Player | TIE(0-15) | Adj. CR | Adj. YAC | Adj. aDOT |
|---|---|---|---|---|
| Trey McBride | 8.41 | 76.57% | 5.06 | 8.21 |
| Brock Bowers | 7.78 | 72.49% | 5.62 | 9.76 |
| George Kittle | 6.35 | 80.46% | 6.83 | 8.23 |
| Travis Kelce | 5.74 | 74.61% | 3.78 | 9.76 |
| Hunter Henry | 4.45 | 71.89% | 4.17 | 10.54 |
| Sam LaPorta | 4.40 | 76.04% | 5.84 | 10.48 |
| Jonnu Smith | 3.75 | 76.04% | 5.58 | 5.99 |
| Zach Ertz | 3.67 | 74.99% | 3.06 | 10.41 |
| Cade Otton | 3.34 | 68.02% | 6.06 | 7.08 |
| Mark Andrews | 2.96 | 79.89% | 3.59 | 8.87 |
| Pat Freiermuth | 2.87 | 82.08% | 4.47 | 6.47 |
| Mike Gesicki | 2.51 | 74.67% | 4.18 | 9.89 |
| David Njoku | 2.12 | 67.34% | 3.84 | 5.04 |
| Dalton Schultz | 1.93 | 65.76% | 4.18 | 8.23 |
| Jake Ferguson | 1.48 | 70.14% | 6.43 | 2.91 |
| Chig Okonkwo | 1.03 | 73.19% | 4.78 | 5.05 |
| Tyler Conklin | 0.77 | 72.66% | 5.06 | 6.35 |
Remember, this is for evaluating changing situations, a player who was a great fantasy asset last year that has a similar situation should not be faded just because he is average/bad on the list. The time to fade said player would be if his situation got worse.
This is brand new to me so I would love to hear some feedback, especially any comments on names that you feel are out of place, whether it's an encouraging sign for a lesser valued player or a concerning sign for a highly drafted player.
Posted Aug 7, 2025, 12:53 AM UTC