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When you boil it down to its essence, the job of the punter (and the coverage team) is to make the other team start their drive as far back as possible. So to that end, I evaluated every punt in the NFL in 2017 (all 2445 of them) to determine how much of the “potential yards” the punter gained for his team on each punt. I divided the field into two punting regions: long-field punts (from inside your own 35) and short-field punts (from your own 35 and beyond). On long-field punts, you assume that your punter can just punt the ball as far as possible without worrying about a touchback (although he does have to worry about out-kicking the coverage, so hang-time is critical). So, I have set the “optimal result” on long-field punts to a 65 yard gross punt.
I did not factor in the return yards allowed since that can be more of a function of the coverage team, but I did subtract 20 yards from the gross distance of any touchback. If you wish to adjust for return yards allowed, let me know and I will send you my spreadsheet. Data for this was pulled from pro-football-reference.com, nfl.com and profootballfocus.com.
On short-field punts, I set the optimal result as downing the ball at the opponent’s one yard line. For example, against Washington, Riley Dixon was called on to punt from the opponent’s 35 yard line. A 34 yard punt would have been the optimal result. Dixon’s punt went 26 yards and they started their drive at the nine. So for that punt, Dixon’s performance score was 26/34 or 76.5 percent. In other words, he “gained” 76.5 percent of the possible yards on that play for the Denver Broncos.
So here is a table with the average punt percentage for every team (the Detroit Lions had two punters during the year) followed by a graph. The range of the average punt percentage is 79.2 percent (Shane Lechler of the Houston Texans) to 68.8 percent (Brad Wing of the New York Giants).
Rank | TEAM | Punt% | Punt% StDev |
1 | HOU | 79.2% | 12.4% |
2 | TEN | 78.5% | 13.9% |
3 | LAR | 78.2% | 12.2% |
4 | NO | 78.1% | 11.0% |
5 | ARI | 77.7% | 11.3% |
6 | OAK | 77.4% | 13.5% |
7 | LAC | 77.3% | 12.1% |
8 | CHI | 76.9% | 12.2% |
9 | CLE | 76.6% | 15.3% |
10 | NYJ | 76.3% | 12.4% |
11 | CAR | 75.7% | 12.5% |
12 | DAL | 75.6% | 12.5% |
13 | WAS | 75.4% | 12.1% |
14 | CIN | 75.1% | 13.4% |
15 | BAL | 75.0% | 15.9% |
16 | KC | 74.4% | 13.7% |
17 | PIT | 74.4% | 12.4% |
18 | MIN | 74.1% | 11.5% |
19 | MIA | 74.0% | 12.6% |
20 | ATL | 73.8% | 11.9% |
21 | SEA | 73.6% | 13.0% |
22 | BUF | 73.5% | 11.9% |
23 | NE | 73.4% | 12.3% |
24 | SF | 73.1% | 10.4% |
25 | PHI | 72.8% | 15.1% |
26 | IND | 72.6% | 13.1% |
27 | TB | 72.3% | 17.6% |
28 | DEN | 72.2% | 17.4% |
29 | DET | 72.0% | 13.0% |
30 | JAX | 71.7% | 16.0% |
31 | GB | 71.5% | 12.7% |
32 | NYG | 68.8% | 17.4% |
Notice the Dixon was 28th in this ranking. Not accounting for any advantage altitude should have provided him, this is a failing result.
There is not much turnover in the ranks of punters in the NFL year over year. (Britton Colquitt and Brett Kern are still punting for other teams in the league.) However, it is bottom of the league performances, like ranking 28th, that get you kicked out of the fraternity of NFL punters.
While Dixon was not very good at putting our defense in optimal situations, he was also not very consistent. His average standard deviation on his punt percentage was second worst in the league. I will note that the Giant’s punter, Brad Wing, was by far the worst punter in the league this year from this analysis. I will also note that Marquette King was 6th in the league in punt percentage in 2017, so by this metric he should be a huge upgrade over Dixon.
So did Dixon maybe do well in other areas that didn’t show up in the punt percentage evaluation? Was he was great at forcing fair catches or getting massive hang-time to minimize returns or punting to a specific spot? Let’s look at that (and many other things) in this next rather huge table.
Rk | Player | Team | Punts | Net Avg | Blk | IN 20 | in20% | in10 | in10% | TB | TB% | FC | FC% | PPP | Ret | RET% | RetY | Avg Ret Y Allowed |
1 | Brett Kern | TEN | 75 | 44.6 | 0 | 28 | 37.3% | 9 | 12.0% | 5 | 6.7% | 9 | 12.0% | 5.3% | 40 | 53.33% | 286 | 7.2 |
2 | Johnny Hekker | LAR | 65 | 44.3 | 0 | 30 | 46.2% | 11 | 16.9% | 4 | 6.2% | 12 | 18.5% | 10.8% | 25 | 38.46% | 152 | 6.1 |
3 | Marquette King | OAK | 69 | 42.7 | 0 | 28 | 40.6% | 15 | 21.7% | 6 | 8.7% | 15 | 21.7% | 13.0% | 32 | 46.38% | 205 | 6.4 |
4 | Rigoberto Sanchez | IND | 84 | 42.6 | 1 | 28 | 33.3% | 14 | 16.7% | 3 | 3.6% | 27 | 32.1% | 13.1% | 19 | 22.62% | 80 | 4.2 |
5 | Michael Palardy | CAR | 71 | 42.4 | 0 | 25 | 35.2% | 12 | 16.9% | 4 | 5.6% | 21 | 29.6% | 11.3% | 30 | 42.25% | 176 | 5.9 |
6 | Thomas Morstead | NO | 60 | 42.2 | 0 | 26 | 43.3% | 14 | 23.3% | 2 | 3.3% | 18 | 30.0% | 20.0% | 24 | 40.00% | 249 | 10.4 |
7 | Jeff Locke | DET | 27 | 42.2 | 0 | 11 | 40.7% | 5 | 18.5% | 0 | 0.0% | 11 | 40.7% | 18.5% | 11 | 40.74% | 82 | 7.5 |
8 | Justin Vogel | GB | 71 | 41.6 | 0 | 19 | 26.8% | 5 | 7.0% | 2 | 2.8% | 24 | 33.8% | 4.2% | 29 | 40.85% | 164 | 5.7 |
9 | Chris Jones | DAL | 66 | 41.4 | 0 | 34 | 51.5% | 22 | 33.3% | 5 | 7.6% | 20 | 30.3% | 25.8% | 18 | 27.27% | 75 | 4.2 |
10 | Shane Lechler | HOU | 92 | 41.3 | 0 | 32 | 34.8% | 17 | 18.5% | 5 | 5.4% | 22 | 23.9% | 13.0% | 49 | 53.26% | 608 | 12.4 |
11 | Bradley Pinion | SF | 75 | 41.3 | 0 | 31 | 41.3% | 10 | 13.3% | 1 | 1.3% | 23 | 30.7% | 12.0% | 33 | 44.00% | 138 | 4.2 |
12 | Drew Kaser | LAC | 74 | 41.3 | 0 | 27 | 36.5% | 13 | 17.6% | 9 | 12.2% | 6 | 8.1% | 5.4% | 48 | 64.86% | 319 | 6.6 |
13 | Dustin Colquitt | KC | 65 | 41.1 | 0 | 29 | 44.6% | 6 | 9.2% | 5 | 7.7% | 22 | 33.8% | 1.5% | 24 | 36.92% | 164 | 6.8 |
14 | Kevin Huber | CIN | 88 | 40.8 | 1 | 32 | 36.4% | 15 | 17.0% | 3 | 3.4% | 23 | 26.1% | 13.6% | 43 | 48.86% | 410 | 9.5 |
15 | Matt Bosher | ATL | 53 | 40.8 | 0 | 19 | 35.8% | 8 | 15.1% | 2 | 3.8% | 22 | 41.5% | 11.3% | 22 | 41.51% | 179 | 8.1 |
16 | Matt Haack | MIA | 83 | 40.7 | 0 | 30 | 36.1% | 15 | 18.1% | 5 | 6.0% | 20 | 24.1% | 12.0% | 35 | 42.17% | 220 | 6.3 |
17 | Britton Colquitt | CLE | 80 | 40.6 | 1 | 24 | 30.0% | 13 | 16.3% | 2 | 2.5% | 13 | 16.3% | 13.8% | 45 | 56.25% | 482 | 10.7 |
18 | Donnie Jones | PHI | 67 | 40.6 | 1 | 21 | 31.3% | 10 | 14.9% | 5 | 7.5% | 14 | 20.9% | 7.5% | 25 | 37.31% | 171 | 6.8 |
19 | Lac Edwards | NYJ | 94 | 40.5 | 0 | 33 | 35.1% | 16 | 17.0% | 4 | 4.3% | 23 | 24.5% | 12.8% | 49 | 52.13% | 491 | 10.0 |
20 | Ryan Allen | NE | 58 | 40.5 | 0 | 24 | 41.4% | 9 | 15.5% | 3 | 5.2% | 14 | 24.1% | 10.3% | 23 | 39.66% | 105 | 4.6 |
21 | Colton Schmidt | BUF | 79 | 40.5 | 0 | 28 | 35.4% | 11 | 13.9% | 6 | 7.6% | 16 | 20.3% | 6.3% | 38 | 48.10% | 210 | 5.5 |
22 | Sam Koch | BAL | 84 | 40.3 | 1 | 40 | 47.6% | 22 | 26.2% | 3 | 3.6% | 18 | 21.4% | 22.6% | 34 | 40.48% | 277 | 8.1 |
23 | Riley Dixon | DEN | 73 | 40.2 | 2 | 23 | 31.5% | 9 | 12.3% | 3 | 4.1% | 23 | 31.5% | 8.2% | 30 | 41.10% | 258 | 8.6 |
24 | Jordan Berry | PIT | 64 | 39.8 | 0 | 26 | 40.6% | 16 | 25.0% | 2 | 3.1% | 24 | 37.5% | 21.9% | 23 | 35.94% | 177 | 7.7 |
25 | Pat O'Donnell | CHI | 87 | 39.7 | 0 | 27 | 31.0% | 15 | 17.2% | 6 | 6.9% | 15 | 17.2% | 10.3% | 49 | 56.32% | 512 | 10.4 |
26 | Andy Lee | ARI | 88 | 39.7 | 0 | 29 | 33.0% | 16 | 18.2% | 8 | 9.1% | 13 | 14.8% | 9.1% | 48 | 54.55% | 506 | 10.5 |
27 | Bryan Anger | TB | 65 | 39.5 | 1 | 24 | 36.9% | 11 | 16.9% | 5 | 7.7% | 21 | 32.3% | 9.2% | 27 | 41.54% | 153 | 5.7 |
28 | Ryan Quigley | MIN | 71 | 39.2 | 0 | 29 | 40.8% | 16 | 22.5% | 0 | 0.0% | 33 | 46.5% | 22.5% | 24 | 33.80% | 213 | 8.9 |
29 | Tress Way | WAS | 83 | 39.0 | 0 | 33 | 39.8% | 12 | 14.5% | 6 | 7.2% | 26 | 31.3% | 7.2% | 39 | 46.99% | 435 | 11.2 |
30 | Brad Nortman | JAX | 87 | 38.9 | 1 | 29 | 33.3% | 14 | 16.1% | 9 | 10.3% | 25 | 28.7% | 5.7% | 30 | 34.48% | 228 | 7.6 |
31 | Jon Ryan | SEA | 92 | 38.8 | 0 | 29 | 31.5% | 12 | 13.0% | 6 | 6.5% | 19 | 20.7% | 6.5% | 45 | 48.91% | 452 | 10.0 |
32 | Sam Martin | DET | 41 | 37.6 | 0 | 13 | 31.7% | 7 | 17.1% | 6 | 14.6% | 12 | 29.3% | 2.4% | 14 | 34.15% | 116 | 8.3 |
33 | Brad Wing | NYG | 95 | 36.7 | 2 | 19 | 20.0% | 12 | 12.6% | 9 | 9.5% | 20 | 21.1% | 3.2% | 43 | 45.26% | 448 | 10.4 |
So where did Dixon rank in terms of all these other metrics? He was 23rd in net punt average. He was 28th at pinning the opponent inside the 20. He was pretty good at forcing fair catches—nineth, but was not very good at pinning the opponent inside the 10 (30th out of 33). He was 22nd in touchback percentage and his precision punt performance (PPP) was also 22nd. PPP is calculated by subtracting the touchback percentage (4.1 percent) from the “in10%” percentage (12.3 percent). Thus, Dixon’s PPP is 8.2 percent. PPP basically shows how effective the punter was (as well as the punt coverage team) at pinning the opponent deep in his own territory without getting touchbacks.
It’s interesting to note that Dustin Colquitt was worst in the league in PPP this season mostly because he was poor at pinning the opponent inside the 10. (He ranked 31st.) This is something that he has excelled at in the past.
So how did King and Dixon compare head to head in terms of rankings in 2017?
Net Punt AVG | FC% | avg ret allowed | in20% | in10% | TB% | PPP | ||
Dixon | 23rd | 9th | 22nd | 28th | 30th | 12th | 22nd | |
King | 3rd | 22nd | 11th | 11th | 6th | 28th | 10th |
So what does PFF have to say about Dixon’s performance in 2017?
According to them, Dixon was 27th out of 33 with an overall grade of +6.0 for the season. Thomas Morsted of the New Orleans Saints graded out the highest for the season at +41.5, while former Bronco Brett Kern was second with a +40.5 and current Bronco Marquette King was 3rd with a +34.5. Only two full-time punters graded out negatively for the entire season in 2017, Ryan Allen of the New England Patriots and Brad Wing of the Giants.
Poll
After seeing this data, how do you feel about the Broncos signing Marquette King to a sizable free agent contract?
This poll is closed
-
55%
much better
-
28%
better
-
12%
ok
-
1%
worse
-
2%
much worse (I’m related to Riley)