Defending Reality

  Posted 7/30 by Jeff Pasquino, Exclusive to Footballguys.com

Note: This article first appeared on Footballguys.com in 2005 here and once again last year here. This year's version of this analysis continues this alternative outlook on team defense valuation.

Nearly every Fantasy League has different rules for how to score Team Defense. Many use the tried and true method of 1 point for a sack and 2 for a turnover. To add a little variety, many also add 6 points for the rare touchdown and yet another two for the rarest of scores - a safety. Other leagues try to tweak this scoring method by incorporating points against, yards against, or both.

Fantasy Football Scoring - A History Lesson

The basis for fantasy scoring comes from an attempt to quantify an individual player's performance numerically and assign that a value proportional to his team's performance. Touchdowns and yardage usually translate to team success, and the offensive player is rewarded for such productivity.

The second iteration of fantasy scoring came about as an attempt to normalize different positions to a similar scoring system. Quarterbacks produce more touchdowns and yardage than running backs, who produce even more than wide receivers. The result for many leagues was to reduce the points for passing touchdowns and also passing yardage so as to make running backs more valuable. Other leagues go one step further by awarding an extra point per catch to each player to increase wide receiver and tight end values closer to running backs.

What does any of this have to do with Team Defense? I am glad that you asked that question. This article is an attempt to determine how to quantify Team Defense scoring in a manner that reflects the impact a defense has on the outcome of a game, and also to provide a normalized score for a Team Defense that puts the value of a Defense at or near par for other fantasy football positions.

Baseline Defense

First, we have to determine what constitutes a good Team Defense. Is it one that gives up the fewest yards, or the fewest points? An argument can be made for either being the case, so let's take a look at the rankings from last year to see which method more accurately reflects a successful season. The results for the 2006 Season are in Table 1:

Table 1: Baseline Defense Rankings

Team
Yards Vs. Rk
Points Vs. Rk
Average Rk
Baltimore
1
1
1
Jacksonville
2
4
3
Chicago
5
3
4
New England
6
2
4
Miami
4
5
4.5
Carolina
7
8.5
7.75
San Diego
10
7
8.5
Pittsburgh
9
11.5
10.25
Oakland
3
18
10.5
Minnesota
8
14
11
Denver
14
8.5
11.25
New Orleans
11
13
12
New York (A)
20
6
13
Kansas City
16
11.5
13.75
Buffalo
18
10
14
Philadelphia
15
15.5
15.25
Dallas
13
20
16.5
Green Bay
12
25.5
18.75
Atlanta
22
15.5
18.75
Seattle
19
19
19
Tampa Bay
17
21
19
Indianapolis
21
23
22
Cincinnati
30
17
23.5
New York (N)
25
24
24.5
Cleveland
27
22
24.5
Houston
24
25.5
24.75
St. Louis
23
28
25.5
Arizona
29
29
29
San Francisco
26
32
29
Detroit
28
30
29
Washington
31
27
29
Tennessee
32
31
31.5

Upon further review of Table 1, two of the Top 4 teams in Points Against were in the conference championship games. In fact, five out of the top seven teams in Points Against were in the 2006 playoffs, and 8 of 12 playoff teams ranked equally or better in Points Against than in Yardage Against. We shall adopt Points Against as the baseline for Team Defense.

Sack the Sack

The most common scoring system for Team Defense awards a point for every sack. This seems like a good idea, since it is an accomplishment by the defense to stop the offense from moving downfield, and it is an easy statistic to track. However, how realistic is this as a measure of Team Defense? Do sacks truly translate to team victories?

We obviously need some way to test this idea. Turning to statistics, we find that correlation is a measure of how two groups of statistics relate to one another. The formula used for correlation gives an answer between 0 and 1, with 1 representing a perfect match - 100% correlation. We can use this to see if sacks line up with our baseline, the Baseline Ranking (Points Against) from Table 1.

Table 2 lists the Team Defense rankings for sacks and the Baseline Ranking from Table 1. The correlation factor is given at the bottom of the table.

Table 2: Sacks vs. Baseline Defense Rankings

Team
Points Vs. Rk
Sacks
Sacks Rank
San Diego
7
61
1
Baltimore
1
60
2
Miami
5
47
3
Green Bay
25.5
46
4
New England
2
44
5
Seattle
19
41
6
Carolina
8.5
41
6
Chicago
3
40
8
Philadelphia
15.5
40
8
Buffalo
10
40
8
Pittsburgh
11.5
39
11
New Orleans
13
38
12
Arizona
29
38
12
Atlanta
15.5
37
14
Jacksonville
4
35
15
Denver
8.5
35
15
Cincinnati
17
35
15
New York (A)
6
35
15
Dallas
20
34
19
St. Louis
28
34
19
Oakland
18
34
19
San Francisco
32
34
19
New York (N)
24
32
23
Kansas City
11.5
32
23
Minnesota
14
30
25
Detroit
30
30
25
Cleveland
22
28
27
Houston
25.5
28
27
Tennessee
31
26
29
Tampa Bay
21
25
30
Indianapolis
23
25
30
Washington
27
19
32

Correlation: 0.626

Based upon the results, it would appear that we should stop right here as a correlation that high should tell you all we need to know, right? Well, looking back over the three years we have for data, the numbers are really all over the place. In 2005 the correlation was just 0.393 and in 2004 it was .509, which oddly enough is the average for all three seasons. This translates to a wide range of answers, anywhere from a weak correlation (39.3%) between Sacks and Baseline Defensive Ranking to a strong correlation (62.6%). Why would that be the case?

The common misconception is that a sack translates readily to the defense getting the ball back for the offense. The reality is that not all sacks are created equal. While a 15-yard sack on 3rd-and-10 would likely result in a Team Defense getting the ball for the offense, a 1-yard sack on first down is not nearly as valuable. However, in the 1 point for a sack scoring system, there is no differentiation between the two different sacks. It would appear that the sack statistic is misleading, and should be replaced by another one.

Turning Over Turnovers

Perhaps we should look harder at the other common statistic used in Team Defense scoring, the turnover. Surely one cannot dispute that turnovers relate strongly to team victories. That has to correlate well with Team Defense rankings, right?

Table 3: Turnovers vs. Baseline Defense Rankings

Team
Takeaways
TA Rank
Points Vs. Rk
Chicago
43
1
3
Baltimore
37
2
1
Minnesota
36
3
14
New England
32
4
2
Arizona
32
4
29
Dallas
30
6
20
St. Louis
30
6
28
Pittsburgh
29
8
11.5
Denver
29
8
8.5
Cincinnati
29
8
17
Kansas City
29
8
11.5
Philadelphia
28
12
15.5
Tennessee
28
12
31
San Diego
27
14
7
Green Bay
27
14
25.5
Miami
26
16
5
New York (N)
26
16
24
Cleveland
26
16
22
Detroit
26
16
30
Atlanta
25
20
15.5
Indianapolis
25
20
23
Seattle
24
22
19
San Francisco
24
22
32
Buffalo
23
24
10
Oakland
23
24
18
New York (A)
22
26
6
Jacksonville
21
27
4
Carolina
20
28
8.5
New Orleans
19
29
13
Tampa Bay
19
29
21
Houston
19
29
25.5
Washington
12
32
27

Correlation: 0.169

Okay, things just got worse. How can turnovers not significantly contribute to a good defensive ranking?

The answer really comes from the mathematics - correlation does not work well with numbers that are close together. From Table 3, you can see most Team Defenses (28 of 32) have from 19 and 32 turnovers, so such a tight grouping will compromise the calculations.

A sanity check is in order - we need to use the common scoring method in its entirety (1 point per sack + 2 points for a turnover) and correlate that result against Average Points (See Table 4):

Table 4: Turnovers and Sacks vs. Baseline Defense Rankings

Team
TAs x 2 + Sacks
TAs x 2 + Sacks Rk
Points Vs. Rk
Baltimore
134
1
1
Chicago
126
2
3
San Diego
115
3
7
New England
108
4
2
Minnesota
102
5
14
Arizona
102
5
29
Green Bay
100
7
25.5
Miami
99
8
5
Pittsburgh
97
9
11.5
Philadelphia
96
10
15.5
Dallas
94
11
20
St. Louis
94
11
28
Denver
93
13
8.5
Cincinnati
93
13
17
Kansas City
90
15
11.5
Seattle
89
16
19
Atlanta
87
17
15.5
Buffalo
86
18
10
New York (N)
84
19
24
Tennessee
82
20
31
San Francisco
82
20
32
Detroit
82
20
30
Carolina
81
23
8.5
Cleveland
80
24
22
Oakland
80
24
18
New York (A)
79
26
6
Jacksonville
77
27
4
New Orleans
76
28
13
Indianapolis
75
29
23
Houston
66
30
25.5
Tampa Bay
63
31
21
Washington
43
32
27

Correlation: 0.351

Now we're seeing some improvement. The correlation between the basic scoring system and Points Against is more than twice as strong as the turnover ranking correlation alone. The combination of both statistics helped in achieving point separation (ranging from 43 to 134 points) and agreement with the baseline, but there is definitely room for improvement.

The basic argument against using the sack as a standard measure remains - there is little direct correlation between the sack and elite defenses. Another measure of defense should be considered in place of sacks. However, if sacks are going to be eliminated from the Team Defense scoring system, what will be inserted in its place?

Give Me The $#@!! Ball

Let us reconsider the basic premise of Team Defense. Defenses have two main objectives - keeping the opposition from scoring, and getting the ball back for their offense. We have already seen that the first objective is the baseline measure of Team Defense, so we need to quantify the second criteria to the best of our ability to see if this should be the new fantasy football measure of the performance of a Team Defense.

There are two defensive categories of getting the ball back for the offense that are overlooked in the "turnover" category. Defenses succeed in stopping the opponent by forcing the traditional turnover (fumbles and interceptions) and also by forcing punts and stopping the opponent on fourth down. Our new formula for Team Defense needs to have basis in reality to weigh the value of forced punts and turnovers on downs.

Punts happen numerous times during the game, but they rarely result in the defense giving the offense a short field (under 50 yards from a touchdown). As such, forcing a punt has to be viewed as less opportunistic and less valuable than a fumble or interception, which results in a short field about half of the time. Therefore, our formula begins to look like this:

New Team Defense Score = Turnovers (INTs and Fumbles) x 2 + Forced Punts

Now for the second portion of the new formula - incorporation of turnovers on downs. While this can happen anywhere on the field, it is more likely to occur at both a crucial point in the game and also in a position where the opposing team is in scoring territory. While the resulting field position may not be as good as with a traditional turnover, the impact of both getting the ball for the offense and the likelihood that the 4th down turnover kept the opposition off the scoreboard gives this type of turnover approximately equal value to a fumble or interception. Therefore, we modify the formula to be:

New Team Defense Score = Turnovers (INTs + Fumbles + 4th Down Stops) x 2 + Forced Punts

We label this new equation the "Realistic Team Defense" scoring system. Now all that is left is to test our new formula.

Is the Fantasy a Reality

Let us revisit the 2006 season for data once again. Obtaining the two new statistics (4th down turnovers and forced punts), we get the following results:

Table 5: All Turnovers and Forced Punts vs. Baseline Defense Rankings

Team
TAs x 2 + Frcd Punts
Reality Def Rk
Points Vs. Rk
Chicago
198
1
3
Baltimore
188
2
1
San Diego
164
3
7
Minnesota
163
4
14
Philadelphia
160
5
15.5
New England
159
6
2
Miami
157
7
5
Pittsburgh
155
8
11.5
Green Bay
153
9
25.5
New York (N)
151
10
24
Jacksonville
150
12
4
Denver
150
12
8.5
Cincinnati
150
12
17
Dallas
148
14.5
20
Seattle
148
14.5
19
New Orleans
147
16
13
Carolina
144
17
8.5
Buffalo
143
18
10
Kansas City
141
19.5
11.5
Cleveland
141
19.5
22
New York (A)
140
21
6
Atlanta
139
22
15.5
Arizona
138
23
29
Tennessee
137
24
31
St. Louis
135
25
28
Tampa Bay
133
26
21
Oakland
132
27
18
San Francisco
127
28
32
Detroit
121
29
30
Houston
115
30
25.5
Washington
107
31
27
Indianapolis
103
32
23

Correlation: 0.688

Definite progress. The correlation between the new and improved scoring system and Points Against is over 60% (68.8%), a sign of a strong correlation and the best correlation so far. This also matches well with prior years (66.6% in 2005, 62.4% in 2004). The addition of all turnovers and punts forced has increased the point separation once again, ranging now from 103 to 198 (a range of 95 points instead of 59 as before in Table 4).

There are additional benefits to this new equation. First, the scores are higher (average score of 9.1 / game) than under the original system (5.6 / game), which goes more towards a better normalization of the Team Defense position on the fantasy roster. By increasing the average score, the net effect is that a Team Defense is now representative of another normalized position player. Table 6 represents the 2006 average score by position of the Top 12 players based upon the default Footballguys.com scoring system.

Table 6: Average Fantasy Points / Game for Top 12 Players by Position

Pos
Pts
QB
17.8
RB
16.4
WR
11.2
TE
6.6
PK
7.6
Def
10.1

*Based upon the new Realistic Team Defense formula.

Now the Team Defense is comparable to the value of just under a Top 12 wide receiver. That would seem to be an appropriate position of value for a strong Team Defense, below a skill position (QB, RB, WR) but above the lesser valued tight end or kicker position.

One last additional benefit (and variance to the Realistic Team Defense formula) is that the addition of scoring points for a Team Defense scoring play (Touchdown or Safety) allows for the added point value, and also reduces the impact of that event to a lower percentage of the total Team Defense score. Previously, under the original scoring method, teams scored between 43 and 134 points for the season without defensive or special teams touchdowns added (see Table 4). Adding a single touchdown (6 points) varied the overall season score by 4-14%, a large impact. Now with the Realistic Team Defense formula, adding a touchdown reduces the impact to 3-6% (see Table 5). This smaller valuation relative to the seasonal performance does seem to be more appropriate.

Conclusion

Adoption of the Realistic Team Defense formula for defensive scoring for fantasy leagues going forward would result in a more accurate representation of the value of a Team Defense and better reflect how the actual defensive unit for each team performs in that particular season. The formula incorporates the significant statistics to quantify how well an actual defense performs, and results in a normalized score relative to the skill position players. The variation of adding back in the relatively rare event of a defensive score reduces the impact of the additional points to less of an overall change to the season Team Defense total, and increases the relative value of a Team Defense closer to that of an upper echelon wide receiver.


Data Sources

www.nfl.com
www.footballguys.com