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Defending Reality

Note: This article first appeared on Footballguys.com in 2005 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 used 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 score, 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 2005 Season are in Table 1:

Table 1: Baseline Defense Rankings

Team
Yards Vs. Rk
Points Vs. Rk
Average Rk
Chicago
2
1
1.5
Indianapolis
11
2
6.5
Pittsburgh
4
3.5
3.75
Denver
15
3.5
9.25
Carolina
3
5
4
Jacksonville
6
6
6
Seattle
16.5
7
11.75
Tampa Bay
1
8
4.5
Washington
9
9
9
Baltimore
5
10
7.5
Cleveland
16.5
11
13.75
Dallas
10
12
11
San Diego
13
13
13
New York (N)
24
14
19
Miami
18
15
16.5
Kansas City
25
16
20.5
New England
26
17
21.5
Atlanta
22
18
20
Green Bay
7
19.5
13.25
Minnesota
21
19.5
20.25
Detroit
20
21
20.5
Cincinnati
28
22
25
New York (A)
12
23
17.5
Buffalo
29
24
26.5
Oakland
27
25
26
Arizona
8
26.5
17.25
Philadelphia
23
26.5
24.75
New Orleans
14
28
21
Tennessee
19
29
24
St. Louis
30
30.5
30.25
San Francisco
32
30.5
31.25
Houston
31
32
31.5

Upon further review of Table 1, four of the Top 7 teams Points Against were in the conference championship games. In fact, nine out of the top 10 teams in Points Against were in the 2005 playoffs, and 10 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
Sack Rk
Seattle
7
50
1
Miami
15
49
2
Jacksonville
6
47
3.5
Pittsburgh
3.5
47
3.5
Indianapolis
2
46
5.5
San Diego
13
46
5.5
Carolina
5
45
7
Baltimore
10
41
10
Chicago
1
41
10
New York (N)
14
41
10
St. Louis
30.5
41
10
Tennessee
29
41
10
Buffalo
24
38
13
Arizona
26.5
37
15.5
Atlanta
18
37
15.5
Dallas
12
37
15.5
Houston
32
37
15.5
Oakland
25
36
18.5
Tampa Bay
8
36
18.5
Green Bay
19.5
35
20.5
Washington
9
35
20.5
Minnesota
19.5
34
22
New England
17
33
23
Detroit
21
31
24
New York (A)
23
30
25
Kansas City
16
29
26.5
Philadelphia
26.5
29
26.5
Cincinnati
22
28
29
Denver
3.5
28
29
San Francisco
30.5
28
29
New Orleans
28
25
31
Cleveland
11
23
32

Correlation: 0.393

Based upon the results, it would appear that there is weak correlation (39.3%) between Sacks and Baseline Defensive Ranking. 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 (TAs)
TAs Rk
Points Vs. Rk
Cincinnati
44
1
22
Carolina
42
2
5
Denver
36
3.5
3.5
New York (N)
36
3.5
14
Minnesota
35
5
19.5
Chicago
34
6
1
Detroit
31
8.5
21
Indianapolis
31
8.5
2
Kansas City
31
8.5
16
Miami
31
8.5
15
Buffalo
30
12
24
Pittsburgh
30
12
3.5
Tampa Bay
30
12
8
Atlanta
29
14
18
Jacksonville
28
16
6
New York (A)
28
16
23
Washington
28
16
9
Philadelphia
27
19
26.5
Seattle
27
19
7
St. Louis
27
19
30.5
Arizona
26
22.5
26.5
Baltimore
26
22.5
10
Dallas
26
22.5
12
San Francisco
26
22.5
30.5
Cleveland
23
25
11
Green Bay
21
26
19.5
San Diego
20
27.5
13
Tennessee
20
27.5
29
New Orleans
19
29.5
28
Oakland
19
29.5
25
New England
18
31
17
Houston
16
32
32

Correlation: 0.469

Okay, things are not getting much better. 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 (24 of 32) have from 20 and 35 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
Carolina
129
1
5
Cincinnati
116
2
22
New York (N)
113
3
14
Miami
111
4
15
Chicago
109
5
1
Indianapolis
108
6
2
Pittsburgh
107
7
3.5
Minnesota
104
8.5
19.5
Seattle
104
8.5
7
Jacksonville
103
10
6
Denver
100
11
3.5
Buffalo
98
12
24
Tampa Bay
96
13
8
Atlanta
95
14.5
18
St. Louis
95
14.5
30.5
Baltimore
93
16.5
10
Detroit
93
16.5
21
Kansas City
91
18.5
16
Washington
91
18.5
9
Arizona
89
20.5
26.5
Dallas
89
20.5
12
New York (A)
86
22.5
23
San Diego
86
22.5
13
Philadelphia
83
24
26.5
Tennessee
81
25
29
San Francisco
80
26
30.5
Green Bay
77
27
19.5
Oakland
74
28
25
Cleveland
69
30
11
Houston
69
30
32
New England
69
30
17
New Orleans
63
32
28

Correlation: 0.569

Now we're getting somewhere. The correlation between the basic scoring system and Points Against is 6.9%, stronger than the sack correlation. The combination of both statistics helped in achieving point separation (ranging from 63 to 129 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 a 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 2005 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 + Forced
Punts
Reality
Defense Rk
Points Vs. Rk
Chicago
193
1
1
Carolina
185
2
5
Miami
176
3
15
Denver
171
4
3.5
New York (N)
171
4
14
Philadelphia
166
6
26.5
Jacksonville
163
7
6
Pittsburgh
162
8
3.5
Tampa Bay
162
8
8
Washington
159
10
9
Baltimore
157
11
10
Minnesota
157
11
19.5
Dallas
155
13
12
Kansas City
155
13
16
Cincinnati
154
15
22
Arizona
151
16
26.5
Atlanta
149
17
18
Indianapolis
149
17
2
Seattle
145
19
7
Detroit
144
20
21
San Francisco
138
21
30.5
Cleveland
138
21
11
San Diego
138
21
13
Green Bay
137
24
19.5
St. Louis
135
25
30.5
Buffalo
132
26
24
Tennessee
132
26
29
New England
129
28
17
Oakland
125
29
25
New York (A)
124
30
23
New Orleans
116
31
28
Houston
108
32
32

Correlation: 0.666

Definite progress. The correlation between the new and improved scoring system and Points Against is finally over 60% (66.6%), a sign of a strong correlation and the best correlation so far. The addition of all turnovers and punts forced has increased the point separation once again, ranging now from 108 to 193 (a range of 85 points instead of 62 as before in Table 4).

There are additional benefits to this new equation. First, the scores are higher (average score of 9.3 / game) than under the original system (5.8 / 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 2005 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
17.4
RB
16.0
WR
11.8
TE
6.8
K
7.7
D*
10.5

*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 61 and 123 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 5-10%, a large impact. Now with the Realistic Team Defense formula, adding a touchdown reduces the impact to 3-5% (see Table 5). This valuation relative to the seasonal performance does seem to be more appropriate than the twice as large prior method.

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

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