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2018 Draft Class: Tight Ends
By Tim Miller
Special to sfl-football.com

Analysis of the 2018 Tight End class


Being a numbers and data type of guy, I wanted to break down the different parts of the 2018 draft class by the actual numbers, so I started with the tight end class of 2018 since we all know that the Colts are going to take one with their first pick.

I was searching for who could truly become elite and how close they would be when they started, as well as where they compared with the current players.

I started with current players to find the different percentiles. Now one nuance, I decided to go with players current on a team and did not include free agents. In my mind, these players must be the best because they have either been drafted, retained, resigned, traded for, or signed in free agency. So basically, these players are wanted.

I broke down the percentiles into the 50th, 75th, 90th, 95th, and 99th percentile of all attributes for tight ends, not just the applicable ones. The results are below (aren't you all interested in how good of a kick returner your tight end is?). The items in bold are what I used to evaluate the draft class: Height, Speed, Strength, Agility, Acceleration, Catch, and Run Blocking. These are the areas I consider important for a tight end. Other attributes will be important for other positions. I left out awareness for now because we know that can grow.

Percentileposageht_incheswtSPDSTRAWRAGIACCCTHCARJMPBTKTAKTHPTHAPBKRBKKPWKACSTAINJIMPTGHKR
50thpercentileTE277725182696281848168806330242054572318858549876
75thpercentileTE297826085737085878472816838302758613027908957939
90thpercentileTE307826588.277.486879189.276.284.272.242.435.229636438309399679940
95thpercentileTE3179268.889.679918792.290.67886.673.645.23930.865653931959976.29948.6
99thpercentileTE3380275.4891.9681.3292.3290.2893.3297.6481.649076.9661.1657.9252.0467.9276.9239.3236.698.329982.969971.12


Now, how did the rookies match up with existing tight ends in the league? You may notice that the attributes are a little higher than what you see for the draft class. I took this evaluation based on where they would be after rookie progression since that one is guaranteed. Then I did a comparison against the different percentiles to see how they match up: 99th percentile is Elite, 95th percentile is Very Good, 90th percentile is Good, 75th percentile is Upper Quadrant, 50th percentile is Upper Half, and below 50th percentile is Too Low.

To come up with the score, I counted how many of each type of ranking they got and then put a weighted average on them, with the Too Low actually counting against an athlete.

As expected, Mark Andrews stood out from the pack. More interesting however is how Ian Thomas and Jordan Akins (although I probably should have included age) scored as compared to Dallas Goedert. Goedert's strength and agility counted against him, even though he had elite speed and acceleration.


NamePOSAGEHT_INCHES*Height_RatingWTWeight_RatingSPD*Speed_RatingSTR*Strength_RatingAWRAWR_RatingAGI*AGI_RatingACC*ACC_RatingCTH*CTH_RatingJMPJMP_RatingBTKBTK_RatingRBK*RBK_RatingINJINJ_RatingScoreEliteVery GoodGoodUpper QuadrantUpper HalfToo low
Mark AndrewsTE2177Upper Half254Upper Half93Elite79Very Good60Too low82Upper Half89Upper Quadrant87Upper Quadrant47Low70Upper Quadrant41Too low96Upper Quadrant10110221
Ian ThomasTE2276Upper Half259Upper Half80Too low71Upper Half45Too low90Very Good96Elite76Too low86Good69Upper Quadrant54Too low88Upper Half6110023
Jordan AkinsTE2675Too low249Too low88Upper Quadrant75Upper Quadrant57Too low85Upper Quadrant84Upper Half76Too low64Low69Upper Quadrant57Upper Half89Upper Quadrant5.5000322
Dallas GoedertTE2277Upper Half256Upper Half91Very Good59Too low60Too low75Too low95Elite78Too low77Low67Upper Half46Too low89Upper Quadrant4.5110014
Troy FumagalliTE2278Good248Too low85Upper Quadrant66Too low50Too low81Upper Half86Upper Half79Too low76Low61Low49Too low90Upper Quadrant4001123
Tyler ConklinTE2275Too low254Upper Half82Upper Half70Upper Half55Too low82Upper Half85Upper Half73Too low87Very Good64Upper Half58Upper Half86Upper Half4000052
Mike GesickiTE2277Upper Half242Too low80Too low72Upper Half53Too low84Upper Half88Upper Quadrant78Too low80Upper Half66Upper Half47Too low90Upper Quadrant3000133
Jordan ThomasTE2378Good265Good83Upper Half64Too low47Too low77Too low86Upper Half73Too low2Low63Upper Half53Too low85Upper Half2001024
Durham SmytheTE2277Upper Half253Upper Half83Upper Half69Upper Half55Too low80Too low75Too low74Too low79Low65Upper Half53Too low90Upper Quadrant1000034
Dalton SchultzTE2178Good242Too low72Too low64Too low51Too low82Upper Half76Too low68Too low57Low70Upper Quadrant52Too low92Upper Quadrant0.5001015
Will DisslyTE2376Upper Half262Upper Quadrant83Upper Half67Too low59Too low77Too low82Too low76Too low86Good67Upper Half59Upper Half96Upper Quadrant1000034
Hayden HurstTE2577Upper Half250Too low85Upper Quadrant60Too low59Too low68Too low76Too low75Too low73Low69Upper Quadrant54Too low81Low0000115
Chris HerndonTE2276Upper Half252Upper Half80Too low61Too low53Too low59Too low78Too low82Upper Half64Low68Upper Quadrant53Too low94Upper Quadrant-0.5000025


Hopefully you enjoy this number crunch as I will be coming back with other evaluations in the near future.

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