Sunday, July 17, 2016

Field Position Part II


In a previous post I discussed how INTs and INT return yardage influenced starting field position (SFP). I will extend that discussion to include each of the other events that directly result in SFP: turnover-fumble returns, kick and punt returns, and missed field goals by opponents. As an aspiring defensive back, I of course took great care discussing interceptions. I will devote little discussion here to fumble recoveries and missed field goals. I will harp on kick-off returns but refrain from discussing punt returns at any depth.

Let me first state that my play-by-play (PBP) data differs slightly from the official record. I excluded yardage gained on returns for TDs in the analysis because a TD precludes SFP. Excluded also was return yardage gained prior to a turnover-fumble.

Concerning INTs, I emphasized that ending opponents’ possessions is most salient and that INT return yardage is a somewhat superfluous stat. INT return yards may be useful to compare playmaking abilities between DBs, although statisticians, teams, and observers might be better served knowing the SFP that resulted from an interception. This notion is definitely applicable for fumble returns where, again, the ending of opponents’ possession is most salient.

Likewise, it is also relevant for rating punt returners. For instance, a player fair catching a punt at his own 9-yard line would be recorded as a fairly unremarkable zero yards (i.e., it is counted in his average PRY). However, the fair catch was probably initiated in the presence of proximal defenders who could have disrupted the impetus of the punted ball at say, the 2-yard line had the returner declined to fair catch. Thus, by fair catching—despite accruing zero yards—the returner in the example would improve his team’s SFP by 7 yards (of course, the defense downing the ball is hypothetical).

The foregoing notion of field position in lieu of yardage is applicable to kick returns as well. For example, let us review the 2014 NFLleading kick-returners by average yards per return. I have Bruce Ellington of the 49ers at 24 returns for 25.9 yards per return;c.f. he ranks about ninth in KR yards. However, Ellington gives his offensive teammates an average starting FP at the ~23-yard line—18th on my list of qualifying players. It may be poor decision making on his behalf or poor block execution behalf of his teammates or that he generally fields kickoffs from superior kickers but we must acknowledge Ellington’s average catch-spot (CS) on KRs was nearly 3-yards into the endzone, ranking third-deepest on my list of qualifying players.1

Although this post is about SFP, the above anecdotes underscore the entanglement of variables involved in appraising performances with yardage accrued. However, Ellington still gained those yards. If we are comparing players (or even coverage units), perhaps, Ellington does rank ninth in KR yards. However, football is about team success and on a given drive, a team is increasingly inclined to success the closer it begins to its opponent’s endzone. Conversely, Ellington’s team did start 3 yards closer to the endzone then would result from him taking more touchbacks.

Moving on, for all teams in the 2014-15 NFL season, I obtained all non-TD turnover-fumble returns, interceptions, kick and punt returns, and field goals missed by opponents using the Pro-Football Reference PBP searchtool. Opponents’ missed FGs include blocks but excludes blocks returned for TDs. For all plays except opponents’ missed field goals, I extracted [a] the spot of the INT, fumble recovery, or catch and [b] the spot at which the player was downed following the return. Computed with those values were [c] return yards or 20 for a touchback and [d] the SFP of the player’s offensive teammates. SFP was scaled such that teams’ own goal lines equaled zero and opponents’ goal lines equaled 100; greater yards indicate better SFP.



Table 1. Counts, Average SFP, and Average Return Yards for Events Resulting in SFP, NFL 2014-15
TEAM TOTAL EVENT COUNTS AVERAGE STARTING FIELD POSITION BY EVENT AVERAGE RETURN YARDS BY EVENT
KR PR FR INT oMFG SFP KR PR FR INT oMFG KR PR FR INT
KAN 68 76 5 5 5 29.3 25.4 28.7 22.4 44.0 23.6 25.4 8.6 0.0 15.2
CIN 78 74 5 19 5 30.3 24.7 30.3 27.4 50.8 26.0 24.9 8.4 0.0 9.2
NWE 68 64 7 16 5 30.6 22.7 32.0 36.9 51.8 29.6 22.1 7.5 0.4 11.7
DAL 75 66 12 16 2 28.9 21.1 26.9 35.5 43.3 21.0 22.3 7.3 2.6 9.3
TAM 81 63 11 11 7 26.6 20.7 25.3 30.1 48.8 32.6 21.6 7.2 1.3 6.9
IND 79 88 13 11 4 28.7 22.5 28.4 30.3 43.2 24.0 24.3 7.0 2.6 8.7
BAL 68 73 12 10 6 28.7 23.3 30.4 32.9 48.2 27.8 22.9 6.9 4.3 9.1
JAX 92 74 12 5 4 25.7 22.1 21.5 24.3 51.0 31.8 21.9 6.4 0.8 13.0
PHI 83 85 16 9 5 30.0 22.9 28.8 33.8 41.6 23.4 20.9 6.2 6.3 6.2
MIN 73 74 4 11 6 27.3 25.0 25.5 15.3 49.0 30.3 21.9 6.2 0.0 8.2
STL 79 74 11 10 1 28.0 22.1 28.8 32.4 42.1 35.0 22.9 5.9 3.3 10.8
BUF 71 86 8 18 7 30.2 21.3 27.0 25.5 60.4 26.9 20.6 5.9 4.4 19.2
OAK 94 81 4 9 5 24.2 19.9 24.7 26.0 61.9 24.2 21.4 5.7 5.3 8.4
CHI 97 49 8 13 6 25.9 21.1 27.0 15.9 43.6 23.8 20.5 5.6 2.4 10.9
SDG 81 66 8 6 2 26.4 21.3 26.5 24.1 31.7 33.5 21.1 5.5 0.0 12.0
SFO 70 74 5 21 0 27.8 22.6 28.3 16.2 48.0 - 22.9 5.5 0.0 18.8
ATL 89 55 7 15 4 26.5 22.4 25.7 32.3 40.5 27.5 22.5 5.4 5.6 6.9
MIA 82 57 10 11 6 31.1 24.2 25.5 21.3 50.6 23.5 23.9 5.3 0.0 17.1
DEN 75 84 5 16 5 28.9 22.6 28.2 26.0 54.4 25.2 21.4 5.3 0.4 10.8
TEN 89 72 6 11 5 25.8 23.2 24.8 38.8 52.7 31.0 22.5 5.2 7.2 10.8
ARI 76 77 5 15 4 26.9 19.6 24.8 20.8 51.3 32.5 20.2 5.1 1.8 10.3
NYJ 85 79 7 6 5 27.8 22.5 26.6 31.4 35.0 24.0 22.1 5.1 0.3 9.0
PIT 86 66 10 7 2 25.7 20.7 24.9 32.5 48.9 29.5 21.1 5.0 3.9 18.1
NYG 87 74 9 16 2 28.2 20.7 23.7 31.6 62.1 24.0 21.1 4.9 1.5 16.6
GNB 79 60 7 15 1 28.5 20.1 27.0 37.4 54.7 29.0 20.3 4.8 0.0 15.2
CAR 83 69 13 10 4 27.7 21.8 25.5 32.5 45.2 25.8 21.0 4.5 2.8 19.0
SEA 62 81 9 11 2 30.5 22.4 27.7 29.0 58.2 32.5 21.4 4.2 0.0 14.2
CLE 72 83 7 18 3 26.8 22.6 24.9 27.7 54.1 34.0 22.8 4.2 4.9 14.4
WAS 85 80 9 6 3 25.1 21.4 22.7 29.0 45.5 18.0 20.8 4.0 2.1 5.0
HOU 71 82 10 16 2 27.7 20.4 23.5 31.9 60.6 26.5 20.7 3.8 8.7 16.6
DET 70 81 7 18 4 29.9 21.1 29.4 32.9 59.2 27.3 21.8 3.8 1.8 18.7
NOR 86 62 6 12 0 25.5 22.2 22.0 18.5 42.9 - 22.3 3.0 0.0 12.5
League Event Counts Average Field Position by Event Average Return Yards by Event
AVG 79 73 8 12 4 AVG 27.9 22.0 26.5 29.1 50.5 27.2 AVG 22.0 5.6 2.3 12.3
SD 9 10 3 4 2 SD 1.8 1.4 2.5 6.4 7.6 4.2 SD 1.3 1.3 2.4 4.2

Table 1 contains 2014-15 distributions, NFL team average SFP and yards gained for each event, and League averages thereof. KRY and PRY are computed with touchbacks equal to 20 yards and no return equal to zero yards. Neither New Orleans’ nor San Francisco’s opponents missed FGs, apparently. There is nothing particularly noteworthy in the table, otherwise.

I also can tell you several things. INTs have the largest impact on the next-SFP when statistically controlling for the initial play spot, the spot at which an INT, fumble recovery, or kick/punt catch occurred, and the yardage gained on the return.2 I can also tell you that for all NFL teams, the majority of SFP yardage is derived from either KR yards or PR yards. Table 2 provides some insight into why this is.



Table 2. Characteristics of NFL Based on Majority of SFP
Majority of Team SFP From
VARIABLE KR PR
Teams Count 11 21
avg SFP 27 28
avg SFP Unproductive Drives 24 24
avg KR-SFP 22 22
avg Unproductive Drive Yards 17 16
avg Punt Yards 45 45
Opp avg Punt Return Yards 9 9
avg Def. SFP After Unproductive Drive 24 23
Opp avg Unproductive Drive Yards 16 16
Opp avg Punt Yards 45 45
avg Punt Return Yards 5 6
% All Drives Turnovers 14% 11%
Opp % All Drives Turnovers 12% 12%
% All Drives End w/ Score 32% 35%
Opp % All Drives End w/ Score 39% 32%
win% 35% 58%
NOTE: Unproductive drives are defined as those that end without a score.
Scoring drives are those that ended in TDs or FGs.


In Table 2 we see that the two types of teams perform similarly in most situations. Notably, teams whose majority of SFP is derived from KRs commit TOs slightly more frequently. As an aside, this might suggest that while essentially random, a modicum of TOs may be attributable to offensive ineptitude (albeit, in single season sample). Those teams’ opponents also end drives by scoring considerably more frequently—23% more—than teams whose majority of SFP is derived from PRs. The PR-teams score slightly more frequently.

Most striking in Table 2, though, is the disparity in win percentage. The KR-teams can be expected to win 5.6 games whereas PR-teams can be expected to win 9.3 games. Thus, I conclude that, despite the indelible impact of Devon Hester or the ’84 Seahawks’ 3-4 monster, ultimately, SFP is largely the result of an ungenerous defense supplemented by relatively consistent and careful offensive play.

Summarily, the impact of various events on starting field position was examined using data from the 2014-15 NFL season. Although INT yards are most impactful on SFP in isolation, when statistically controlling for event-spot and return yardage, the majority of SFP is derived from either KR or PR yards. Likewise, winning teams garner most of their from PR yards. I concluded that this effect is likely due to defensive stops and consistent, careful offensive play.



1 Minimum 1 KR per game scheduled.
2 To accomplish this, SFP was regressed on to play start spot, event spot, and yards gained. The residuals were saved. An ANOVA was performed with those residuals as the dependent variable and event type as the independent variable. A significant effect of event type was found, F(4, 5641) = 17.422, p < .001. Roughly, planned post hoc comparisons indicate the effect of event on SFP could be ranked as INT > FUM > PR > MFG > KR.