Writers of Pro Football Prospectus 2008

Most Recent FO Features


» Factors: Andre Johnson

One of the NFL's best receivers notched a -2.3% DVOA last year. Does a target-by-target breakdown show he was better than that?

20 Sep 2013

Varsity Numbers: The Receiver Template

by Bill Connelly

After a wonderful Week 3 in the college football season, we've got a bit of a slow Saturday for Week 4. Friday night's Boise State-Fresno State game should be intriguing, and Stanford-Arizona State could define a good portion of the Pac-12 race, but most highly ranked teams are playing either FCS opponents or semi-competitive mid-majors (or, in LSU's case, Auburn), and there aren't nearly as many marquee story lines at play.

With that in mind, I thought it would be a good time to tackle something I intended to do in the offseason: receiver profiling. Marty Couvillan of cfbstats.com opened up his database last year and shares updated 2013 data on a weekly basis; part of that data is general height/weight/position/experience data that I've been meaning to play with for quite a while. So let's do that.

Below is the most general of general data. It is an attempt to profile receivers and tight ends based on height, weight, and experience. It isn't a shot at pronouncing that 6-foot-2 receivers are better than 6-foot-4 receivers; it's just a way for you to understand the baseline at play when your team has a receiver of a certain type. Sounds fun, yes?

Wide Receivers

(Note: The data below represents any FBS player who caught at least one pass in 2012.)

There were 912 players who caught a pass in 2012 and were listed as a wide receiver (or split end, or flanker). One-third of them were between 6-foot-0 and 6-foot-2, and another sixth of them were either 5-foot-11 or 6-foot-3. In terms of weight, 20 percent of them were under 180 pounds, 47 percent were between 180 and 199 pounds, 28 percent were between 200 and 219, and five percent were 220 or bigger. None of this should be a surprise. But let's start generalizing.

The basic components of any receiver's stats are catch rate and yards per catch. In general, receivers have a catch rate around 62 percent and average between 12 and 13 yards per catch. But what if we break that out into ranges of height and weight?

Ht Range Catch Rate Yds/Catch Yds/Target Pct of Total WRs
5'5" to 5'9" 64.2% 10.4 6.6 12.2%
5'10" to 6'4" 61.8% 12.6 7.8 84.1%
6'5" to 6'8" 57.3% 14.0 8.0 3.7%

Smaller receivers are often used in slotback roles or, in the case of somebody like Ace Sanders, frequently lined up wide and fed short passes. The result is that, on average, these receivers have a higher catch rate but lower yards per catch. A lot of them are used as extensions of the running game.

Meanwhile, taller receivers are more likely of the "get downfield and post up" variety; quarterbacks send them lower-percentage passes with higher potential. In terms of 2013 draftees, a good example of this type of player might be Tennessee's Justin Hunter; he's only 6-foot-4, so he technically falls into the middle range, but he caught just 55 percent of his passes in 2012 but averaged 14.8 yards per catch.

Most receivers, however, are in the middle range. This is an enormous range, encompassing 85 percent of all receivers, but it was difficult to distinguish between them. Receivers who stand 5-foot-10 averaged a 63 percent catch rate and 12.3 yards per catch, 6-foot-1 receivers averaged 62 percent and 12.6, and 6-foot-3 receivers averaged 61 percent and 11.8. They all fall pretty close to this "62 percent and 12.6 per catch" range.

You can probably guess, then, that weight ranges will probably follow a similar trend since, you know, small players are likely to weight less and big players are likely to weight more.

Wt Range Catch Rate Yds/Catch Yds/Target Pct of Total WRs
<170 lbs 63.6% 11.0 7.0 5.8%
170-199 lbs 62.4% 12.4 7.7 61.2%
200-209 lbs 62.2% 13.0 8.1 18.1%
210-229 lbs 60.1% 12.0 7.2 13.2%
230+ lbs 53.9% 12.6 6.8 1.8%

Though we tend to equate "bigger" with "slower" a receiver with good size is more likely to be able to establish good position to catch longer passes. It could be hard to lob a pass into Tavon Austin, right? Even if he beats his man, the corner might still be able to stay close enough to bat a ball down before it reaches him. A smaller receiver must either establish a lot of space between himself or possess an unholy vertical leap to make up the difference. Great ones do, but average ones are not trusted to do so.

Tight Ends

From the tight end position, the height distribution was minimal. Only eight of the 312 tight ends who caught a pass in 2012 (2.6 percent) were shorter than 6-foot-2, and only 11 (3.5 percent) were taller than 6-foot-6. A solid 28 percent were either 6-foot-2 or 6-foot-3, 51 percent were 6-foot-4 or 6-foot-5, and 14 percent were 6-foot-6. From a weight range, nine percent were lighter than 230 pounds, 48 percent were between 230 and 249, 41 percent were between 250 and 269, and three percent were 270 or heavier. Again, this all likely fits with your preconceptions for the position.

So are tight ends used differently based on height or weight?

Ht Range Catch Rate Yds/Catch Yds/Target Pct of Total TEs
6'0" to 6'2" 62.9% 9.8 6.2 13.1%
6'3" 69.2% 12.3 8.4 17.9%
6'4" to 6'6" 64.7% 10.6 6.8 65.5%
6'7" to 6'8" 51.3% 12.9 6.6 3.5%

When I get the opportunity, I want to run the data for a bigger sample than just the 2012 season. I assume that when I do so, I won't find a magical sweet spot at 6-foot-3, where players are quite a bit better than those one inch taller or shorter. But with this single year of data, 6-foot-3 was the height to be. Meanwhile, one could say that there really might be a defined disadvantage in being a shorter tight end.

Wt Range Catch Rate Yds/Catch Yds/Target Pct of Total TEs
210-229 lbs 64.1% 10.8 6.9 8.9%
230-249 lbs 66.3% 10.7 7.1 47.9%
250-269 lbs 63.6% 11.1 7.0 40.6%
270+ lbs 57.6% 11.0 6.3 2.6%

From a weight perspective, there are almost no distinguishing characteristics. Really big tight ends are probably blockers first and don't necessarily have the hands that receiver-first types in the 230-250 range probably do. But on average, anybody under 270 seems to average about the same on a per-target basis.


I also wanted to look at how teams use different positions in the passing game. Here's a look at the position of teams' No. 1 targets, No. 2 targets, etc., in 2012. (This type of data is damaged a bit by injuries, of course. If a team's go-to receiver gets hurt in the fourth game and ends up with the fifth-most targets on the, he's the No. 5 target. This is a "perfect vs. good" situation here.)

Target No. WR RB TE/HB FB Grand Total
1 117 2 5 124
2 110 7 7 124
3 84 17 23 124
4 82 19 23 124
5 58 37 25 4 124
6 59 35 26 4 124
7 49 45 28 1 123
8 59 45 15 4 123
9 58 31 30 4 123
10 51 41 22 8 122

Some notes:

  • Teams with a RB as a No. 1 target: Oregon (De'Anthony Thomas), Navy (Gee Gee Greene). Obviously Thomas is more athlete than running back or receiver, but he has to be given a position, right?
  • Teams with a TE as a No. 1 target: Eastern Michigan (Garrett Hoskins), Florida (Jordan Reed), Notre Dame (Tyler Eifert), San Diego State (Gavin Escobar), and Stanford (Zach Ertz). Average catch rate for these five players: 64 percent. Average yards per catch: 13.2. Better than the average tight end, in other words.
  • Teams with a RB as a No. 2 target: Auburn (Onterio McCalebb), Georgia Tech (Orwin Smith, a slotback in the Flexbone), Kent State (Dri Archer), Massachusetts (Alan Williams), Rice (Sam McGuffie, who was basically a WR), Tulane (Rob Kelley), and Virginia (Perry Jones). Average catch rate: 64.6 percent. Average yards per catch: 10.7. Safety options for the most part.
  • Teams with a TE/HB as a No. 2 target: Arizona State (Chris Coyle), Michigan State (Dion Sims), Temple (Cody Booth), Tulsa (Willie Carter), Washington (Austin Seferian-Jenkins), Western Kentucky (Jack Doyle), Wisconsin (Jacob Pedersen). Average catch rate: 63.7 percent. Average yards per catch: 11.1. Again, safety options.


Last exercise: Let's break these samples out by year of experience. Now, obviously the best way to do this would be to track the same pool of players from freshman to senior season -- this is looking at players from each class from a single season, so the odds are good that only the best freshmen will play.

WR Catch Rate Yds/Catch Yds/Target Pct of Total
FR 62.0% 11.8 7.1 24.0%
SO 61.6% 12.3 7.5 27.4%
JR 61.4% 12.7 7.8 26.6%
SR 63.0% 12.6 7.9 22.0%

It's difficult to draw too much from this, other than the fact that older receivers seem to possibly improve more from a yards-per-catch standpoint than from a catch rate standpoint. Your hands are your hands no matter how experienced you are, I guess.

TE Catch Rate Yds/Catch Yds/Target Pct of Total
FR 65.7% 10.8 7.0 16.3%
SO 63.8% 11.1 7.1 25.9%
JR 65.5% 10.5 6.7 29.7%
SR 64.3% 11.0 7.0 22.0%

Almost no distinguishable characteristics here.

What about if we only look at the most leaned-on players? Here's the same data looking only at players who were among the top three targets on their team. (That means the tight end sample is pretty small).

WR (top-3 target) Catch Rate Yds/Catch Yds/Target Pct of Total
FR 61.8% 12.8 7.9 7.1%
SO 62.0% 13.3 8.2 28.6%
JR 61.1% 13.7 8.3 30.5%
SR 61.8% 13.4 8.2 33.8%

Again, there is no difference in catch rate, but the per-catch yardage improves a bit.

TE (top-3 target) Catch Rate Yds/Catch Yds/Target Pct of Total
FR 69.6% 11.8 8.4 8.8%
SO 64.8% 13.1 8.4 14.7%
JR 63.7% 11.5 7.2 32.4%
SR 63.5% 13.4 8.5 44.1%

As rare as it is to find a go-to tight end, it's even rarer to find one young than a junior. But if you're throwing to one, they're probably pretty good. The only freshman tight ends in the sample: Memphis' Alan Cross (26 targets, 23 catches, 301 yards), Penn State's Kyle Carter (52 targets, 36 catches, 453 yards), and UNLV's Jake Phillips (45 targets, 23 catches, 226 yards). Phillips was underwhelming, but the other two were quite successful.

Posted by: Bill Connelly on 20 Sep 2013

5 comments, Last at 14 Jan 2014, 10:40am by arquestil.com


by KK Probs (not verified) :: Fri, 09/20/2013 - 5:08pm

Doing this running the numbers with opposing defensive backs assigned to coverage would be a massive undertaking, but might be a fantasy football gold mine. For example, is a taller player better against a zone team, is he better in man-to-man against a shorter defensive back, etc. Very interesting results even with no separate defensive component.

by E2506101 :: Fri, 09/20/2013 - 9:13pm

Great post; very interesting stuff.

by Aaron Brooks Go... :: Mon, 09/23/2013 - 10:20am

I take it from this that a guy with good hands who is 6'3" and 230-lb is probably being lined up as a TE instead of an WR4?

by Jocuri Gratuite (not verified) :: Sun, 09/29/2013 - 10:56am

I usually don’t post on Blogs but yours forced me to, awesome work

by arquestil.com (not verified) :: Tue, 01/14/2014 - 10:40am

Os adrezco el compartir con todos nosotros toda esta interesante informaci