Great Legs: What The Rockettes And The NFL Draft Have In Common
Admittedly I have vastly different reasons for why I like the legs of each subject in my title, but as fantasy GMs we're always looking for that next great pair of legs that is skilled enough to tote the rock at least 15 times per game; 240 times a season. It's because the career lifespan of a running back is generally short. Even when a runner has a longer than average career, it's rare for him to maintain top-tier, starter-quality production in fantasy leagues for more than three-to-five years. Those who can deliver at least 1300 yards for three seasons are among the most productive 175 backs in the history of the game. Considering there are at least 96 RBs on a depth chart every season and turnover is high, a career of 3900 yards is impressive. When a back has at least five years of production on this level, he's in the top 60 at his position of all-time.
You have to admit, being in the top three percent of more than 1700 runners since 1950 in rushing yards is extraordinary. Yet it's a league of extraordinary athletes and as fantasy owners we're looking for players who are able to sustain elite productivity from season to season. There comes a point when a runner attains a level of productivity in a season where it is human nature to fear that our future expectations for that player may be too high.
For years I have written a piece about RB workloads where I used a sum of attempts and receptions to determine a threshold. The number was 370 f-carries.
An f-carry is defined as 1 carry for every attempt and .5 carry for every reception.
f-carry = ([attempts]*1)+([receptions]*.5)
If a player's productivity crossed this line, there appeared to be a significant likelihood that the player had a strong decline in production the following season and often due to injury. Furthermore, that player's likelihood of coming close to this elite level of productivity was small. In other words, I was saying that once a player hit this threshold it signaled the beginning of the end for this player's fantasy stardom.
It seemed to make sense. From 2000-2007, here are the players who exceeded 370 f-carries:
RBs With 370+ f-carries From 2000-2007*
|
LName
|
FName
|
Team
|
Year
|
G
|
Rush
|
Yds
|
TDs
|
Rec
|
Yds
|
TDs
|
FCarries
|
Fpts
|
|
George
|
Eddie
|
oti
|
2000
|
16
|
403
|
1509
|
14
|
50
|
453
|
2
|
428
|
292
|
|
James
|
Edgerrin
|
clt
|
2000
|
16
|
387
|
1709
|
13
|
63
|
594
|
5
|
418.5
|
338
|
|
Davis
|
Stephen
|
was
|
2001
|
16
|
356
|
1432
|
5
|
28
|
205
|
0
|
370
|
194
|
|
Tomlinson
|
LaDainian
|
sdg
|
2002
|
16
|
372
|
1683
|
14
|
79
|
489
|
1
|
411.5
|
307
|
|
Williams
|
Ricky
|
mia
|
2002
|
16
|
383
|
1853
|
16
|
47
|
363
|
1
|
406.5
|
324
|
|
Green
|
Ahman
|
gnb
|
2003
|
16
|
355
|
1883
|
15
|
50
|
367
|
5
|
380
|
345
|
|
Lewis
|
Jamal
|
rav
|
2003
|
16
|
387
|
2066
|
14
|
26
|
205
|
0
|
400
|
311
|
|
McAllister
|
Deuce
|
nor
|
2003
|
16
|
351
|
1641
|
8
|
69
|
516
|
0
|
385.5
|
264
|
|
Williams
|
Ricky
|
mia
|
2003
|
16
|
392
|
1372
|
9
|
50
|
351
|
1
|
417
|
232
|
|
Martin
|
Curtis
|
nyj
|
2004
|
16
|
371
|
1697
|
12
|
41
|
245
|
2
|
391.5
|
278
|
|
Alexander
|
Shaun
|
sea
|
2005
|
16
|
370
|
1880
|
27
|
15
|
78
|
1
|
377.5
|
364
|
|
Barber
|
Tiki
|
nyg
|
2005
|
16
|
357
|
1860
|
9
|
54
|
530
|
2
|
384
|
305
|
|
James
|
Edgerrin
|
clt
|
2005
|
15
|
360
|
1506
|
13
|
44
|
337
|
1
|
382
|
268
|
|
Jackson
|
Steven
|
ram
|
2006
|
16
|
346
|
1528
|
13
|
90
|
806
|
3
|
391
|
329
|
|
Johnson
|
Larry
|
kan
|
2006
|
16
|
416
|
1789
|
17
|
41
|
410
|
2
|
436.5
|
334
|
|
Tomlinson
|
LaDainian
|
sdg
|
2006
|
16
|
348
|
1815
|
28
|
56
|
508
|
3
|
376
|
418
|
* No RB exceeded 370 f-carries in 2007.
Other than LaDainian Tomlinson and Edgerrin James, none of the backs on the list were able to repeat this level of production. Delving into the last 13 seasons, the evidence appeared even more compelling because of the 48 runners with at least 370 f-carries in a season, a significant majority saw a drop in productivity the following year.
|
Change
|
RBs
|
No. Of RBs
|
Pct.
|
Subsequent Production
|
|
Same or better
|
48
|
7
|
14.60%
|
At least 300 fpts
|
|
Drop of 1%-10%
|
48
|
5
|
10.40%
|
270-299 fpts
|
|
Drop of 11%-20%
|
48
|
2
|
4.10%
|
240-269 fpts
|
|
Drop of 21%-30%
|
48
|
13
|
27.00%
|
210-239 fpts
|
|
Drop of 31%-40%
|
48
|
6
|
12.50%
|
180-209 fpts
|
|
Drop of 41%-50%
|
48
|
6
|
12.50%
|
150-179 fpts
|
|
Drop of over 50%
|
48
|
9
|
18.75%
|
At most 149 fpts
|
The numbers appear to say that 34 of the 48 runners - a remarkable 70.8% - experienced at least a 21% decrease in productivity the following season. What that meant to me was that just less than a third of the backs would come close to repeating that initial high level of productivity and if you drafted a back with 370 f-carries from the year before you had a 70% chance of seeing that player have significant decline in production. The results indicated that player was overvalued.
But does this decline mean the player is useless? When looking at the average fantasy value for runners over that same period of time, backs with at least 300 fantasy points in a given year were no worse than the No. 4 back and more likely to finish as one of the top two in the league. Hypothetically, a drop of 10% or less would have kept them in the top five overall; a drop of 11%-20% kept them in the top eight; and a drop of 21%-30% kept them in the at least in the top 12 in all but one year and generally in the top nine.
|
Year
|
RB1
|
RB2
|
RB3
|
RB4
|
RB5
|
RB6
|
RB7
|
RB8
|
RB9
|
RB10
|
RB11
|
RB12
|
|
2006
|
418
|
334
|
329
|
272
|
268
|
258
|
243
|
228
|
215
|
190
|
189
|
186
|
|
2005
|
364
|
335
|
305
|
303
|
268
|
239
|
227
|
225
|
202
|
201
|
197
|
188
|
|
2004
|
307
|
300
|
286
|
278
|
262
|
257
|
252
|
226
|
208
|
206
|
198
|
197
|
|
2003
|
373
|
345
|
339
|
311
|
274
|
269
|
264
|
236
|
232
|
221
|
217
|
208
|
|
2002
|
373
|
324
|
307
|
289
|
272
|
270
|
264
|
259
|
256
|
226
|
220
|
219
|
|
2001
|
341
|
277
|
264
|
262
|
243
|
232
|
220
|
218
|
213
|
194
|
187
|
185
|
|
2000
|
375
|
338
|
292
|
257
|
251
|
248
|
247
|
240
|
239
|
237
|
230
|
229
|
|
1999
|
316
|
315
|
254
|
254
|
230
|
221
|
212
|
202
|
202
|
193
|
185
|
182
|
|
1998
|
360
|
312
|
283
|
266
|
264
|
241
|
219
|
217
|
215
|
202
|
196
|
196
|
|
1997
|
320
|
294
|
252
|
232
|
218
|
211
|
200
|
199
|
197
|
189
|
188
|
186
|
|
1996
|
281
|
275
|
264
|
250
|
236
|
235
|
221
|
203
|
192
|
189
|
177
|
175
|
|
1995
|
365
|
265
|
262
|
255
|
243
|
239
|
220
|
216
|
214
|
203
|
198
|
196
|
|
1994
|
314
|
265
|
253
|
252
|
230
|
226
|
198
|
188
|
179
|
171
|
166
|
159
|
|
Year
|
RB13
|
RB14
|
RB15
|
RB16
|
RB17
|
RB18
|
RB19
|
RB20
|
RB21
|
RB22
|
RB23
|
RB24
|
|
2006
|
186
|
181
|
179
|
179
|
179
|
175
|
174
|
174
|
172
|
171
|
169
|
161
|
|
2005
|
172
|
172
|
172
|
169
|
167
|
165
|
162
|
160
|
151
|
150
|
144
|
143
|
|
2004
|
196
|
194
|
192
|
192
|
184
|
180
|
177
|
175
|
167
|
164
|
158
|
157
|
|
2003
|
187
|
186
|
186
|
177
|
175
|
169
|
165
|
160
|
153
|
149
|
147
|
142
|
|
2002
|
217
|
209
|
205
|
203
|
201
|
188
|
184
|
183
|
180
|
171
|
170
|
152
|
|
2001
|
178
|
168
|
168
|
164
|
160
|
157
|
152
|
147
|
141
|
136
|
136
|
135
|
|
2000
|
226
|
213
|
210
|
202
|
201
|
195
|
192
|
182
|
180
|
177
|
166
|
159
|
|
1999
|
179
|
174
|
173
|
162
|
156
|
156
|
152
|
144
|
132
|
132
|
130
|
130
|
|
1998
|
186
|
181
|
169
|
162
|
161
|
154
|
149
|
146
|
142
|
140
|
128
|
127
|
|
1997
|
186
|
176
|
175
|
161
|
157
|
155
|
150
|
147
|
144
|
143
|
134
|
132
|
|
1996
|
173
|
167
|
164
|
150
|
144
|
143
|
139
|
134
|
131
|
129
|
128
|
126
|
|
1995
|
192
|
191
|
182
|
173
|
170
|
157
|
148
|
146
|
145
|
144
|
143
|
140
|
|
1994
|
156
|
155
|
154
|
154
|
154
|
153
|
148
|
146
|
145
|
140
|
139
|
128
|
|
Color Key
|
|
|
Change
|
FPt Range
|
|
No decrease
|
At least 300 FPts
|
|
Drop of 1%-10%
|
270-299 FPts
|
|
Drop of 11%-20%
|
240-269 FPts
|
|
Drop of 21%-30%
|
210-239 FPts
|
|
Drop of 31%-40%
|
180-209 FPts
|
|
Drop of 41%-50%
|
150-179 FPts
|
|
Drop of over 50%
|
At most 149 FPts
|
Although the historical difference in value for running backs in the top 12 to top 24 has a greater drop off than other positions, an RB ranked in the top 12 in a 12-team league is usually going to be more valuable than all but maybe one or two receivers. It would take a 41%-50% drop-off from an elite year for a fantasy owner to even begin considering a WR over that player. Since nearly 69% of the runners in this sample experienced less than a 40% drop-off in the subsequent season, deciding not to draft the player at all is a mistake.
It's the same for the idea that once a player reaches that 370 f-carry threshold his future career productivity has grim prospects. The historical data consisting of 145 seasons after these 48 runners reached the threshold show that the RB might have had a peak year with 370 f-carries, but he is by no means ready to call it quits.
|
Fpt Range
|
Seasons
|
No. RBs
|
Pct. RBs
|
|
200
|
148
|
107
|
72.0%
|
|
201-249
|
148
|
19
|
12.8%
|
|
250-299
|
148
|
10
|
6.7%
|
|
300-349
|
148
|
4
|
2.8%
|
|
350+
|
148
|
3
|
2.0%
|
Knowing what we do about average value, 72% of the runners that saw their production decline from 300 to 200 in this 13-year period still have an average value within the 12th- to 15th-rankned players within their position. Although less than five percent of the sample attained 300 fantasy points again, 25% of the sample was actually ranked within the top 12-15. From the perspective of fantasy points, this might be a significant drop because the position has a greater range of productivity, but it doesn't make them nonstarters. Fortunately for me - and those who followed my columns on this topic before - circumstances in my favor prevented my ignorance from hurting our fantasy prospects because the players targeted in this analysis since 2003 suffered injuries causing them to miss significant time. Regrettably I even associated some of this data as a link to subsequent break down.
There is obviously anecdotal evidence that runners with high workloads get hurt the next year, but statistically one cannot prove it. What can be proven is what the Shark Pool message board has known for a couple of years now:
When a running back reaches the highest reaches of productivity in one season, there's a high probability that he will experience a downturn in production the next year. Not because he's breaking down, but because the high production was a rare feat. It means the higher the production, the greater the subsequent drop. This is known as regressing to the mean. But as I explained before, doesn't mean that player is doomed. An extremely well written statistical analysis is available here.
I'd like to thank the Shark Pool for showing me the error of my ways. It's one of the great things about belonging to a site such as Footballguys: you learn from other people. Obviously, I need to change my rankings, which you will likely see for my runners and overall by the time this column appears online. I intended my rankings to be a launching point for my discussion of the workload hypothesis and why we should be wary of Adrian Peterson and Michael Turner in 2009, but after a more careful review, I can't continue in that direction. In fact, I discovered evidence that may say not to worry about a significant regression for either player in 2009.
There are actually 33 runners who had 370 f-carries in a season. The number 48 was the number of seasons a runner exceeded the 370 f-carry threshold - and with Peterson and Turner surpassing it in 2008 that number of seasons is now 50. Since Peterson and Turner will get their chance in 2009, I removed from them from the total. Of those remaining 31 runners, 20 of them have yet to reach that level of productivity again, but 11 have repeated this feat and the list has some information worth considering.
|
LName
|
FName
|
TM
|
Rookie
|
Year
|
Exp.
|
G
|
Att
|
Yds
|
TD
|
Rec
|
Yds
|
TD
|
Fcarries
|
FPts
|
|
Campbell
|
Earl
|
oti
|
1978
|
1979
|
2
|
16
|
368
|
1697
|
19
|
16
|
94
|
0
|
376
|
293
|
|
Campbell
|
Earl
|
oti
|
1978
|
1980
|
3
|
15
|
373
|
1934
|
13
|
11
|
47
|
0
|
378.5
|
276
|
|
Campbell
|
Earl
|
oti
|
1978
|
1981
|
4
|
16
|
361
|
1376
|
10
|
36
|
156
|
0
|
379
|
213
|
|
Payton
|
Walter
|
chi
|
1975
|
1979
|
5
|
16
|
369
|
1610
|
14
|
31
|
313
|
2
|
384.5
|
288
|
|
Payton
|
Walter
|
chi
|
1975
|
1984
|
10
|
16
|
381
|
1684
|
11
|
45
|
368
|
0
|
403.5
|
271
|
|
Wilder
|
James
|
tam
|
1981
|
1984
|
4
|
16
|
407
|
1544
|
13
|
85
|
685
|
0
|
449.5
|
301
|
|
Wilder
|
James
|
tam
|
1981
|
1985
|
5
|
16
|
365
|
1300
|
10
|
53
|
341
|
0
|
391.5
|
224
|
|
Riggs
|
Gerald
|
atl
|
1982
|
1984
|
3
|
15
|
353
|
1486
|
13
|
42
|
277
|
0
|
374
|
254
|
|
Riggs
|
Gerald
|
atl
|
1982
|
1985
|
4
|
16
|
397
|
1719
|
10
|
33
|
267
|
0
|
413.5
|
259
|
|
Dickerson
|
Eric
|
ram
|
1983
|
1983
|
1
|
16
|
390
|
1808
|
18
|
51
|
404
|
2
|
415.5
|
341
|
|
Dickerson
|
Eric
|
ram
|
1983
|
1984
|
2
|
16
|
379
|
2105
|
14
|
21
|
139
|
0
|
389.5
|
308
|
|
Dickerson
|
Eric
|
ram
|
1983
|
1986
|
4
|
16
|
404
|
1821
|
11
|
26
|
205
|
0
|
417
|
269
|
|
Dickerson
|
Eric
|
clt
|
1983
|
1988
|
6
|
16
|
388
|
1659
|
14
|
36
|
377
|
1
|
406
|
294
|
|
Smith
|
Emmitt
|
dal
|
1990
|
1991
|
2
|
16
|
365
|
1563
|
12
|
49
|
258
|
1
|
389.5
|
260
|
|
Smith
|
Emmitt
|
dal
|
1990
|
1992
|
3
|
16
|
373
|
1713
|
18
|
59
|
335
|
1
|
402.5
|
319
|
|
Smith
|
Emmitt
|
dal
|
1990
|
1994
|
5
|
15
|
368
|
1484
|
21
|
50
|
341
|
1
|
393
|
315
|
|
Smith
|
Emmitt
|
dal
|
1990
|
1995
|
6
|
16
|
377
|
1773
|
25
|
62
|
375
|
0
|
408
|
365
|
|
Martin
|
Curtis
|
nwe
|
1995
|
1995
|
1
|
16
|
368
|
1487
|
14
|
30
|
261
|
1
|
383
|
265
|
|
Martin
|
Curtis
|
nyj
|
1995
|
1998
|
4
|
15
|
369
|
1287
|
8
|
43
|
365
|
1
|
390.5
|
219
|
|
Martin
|
Curtis
|
nyj
|
1995
|
1999
|
5
|
16
|
367
|
1464
|
5
|
45
|
259
|
0
|
389.5
|
202
|
|
Martin
|
Curtis
|
nyj
|
1995
|
2004
|
10
|
16
|
371
|
1697
|
12
|
41
|
245
|
2
|
391.5
|
278
|
|
Davis
|
Terrell
|
den
|
1995
|
1997
|
3
|
15
|
369
|
1750
|
15
|
42
|
287
|
0
|
390
|
294
|
|
Davis
|
Terrell
|
den
|
1995
|
1998
|
4
|
16
|
392
|
2008
|
21
|
25
|
217
|
2
|
404.5
|
361
|
|
James
|
Edgerrin
|
clt
|
1999
|
1999
|
1
|
16
|
369
|
1553
|
13
|
62
|
586
|
4
|
400
|
316
|
|
James
|
Edgerrin
|
clt
|
1999
|
2000
|
2
|
16
|
387
|
1709
|
13
|
63
|
594
|
5
|
418.5
|
338
|
|
James
|
Edgerrin
|
clt
|
1999
|
2005
|
7
|
15
|
360
|
1506
|
13
|
44
|
337
|
1
|
382
|
268
|
|
Williams
|
Ricky
|
mia
|
1999
|
2002
|
4
|
16
|
383
|
1853
|
16
|
47
|
363
|
1
|
406.5
|
324
|
|
Williams
|
Ricky
|
mia
|
1999
|
2003
|
5
|
16
|
392
|
1372
|
9
|
50
|
351
|
1
|
417
|
232
|
|
Tomlinson
|
LaDainian
|
sdg
|
2001
|
2002
|
2
|
16
|
372
|
1683
|
14
|
79
|
489
|
1
|
411.5
|
307
|
|
Tomlinson
|
LaDainian
|
sdg
|
2001
|
2006
|
6
|
16
|
348
|
1815
|
28
|
56
|
508
|
3
|
376
|
418
|
These points actually makes it look favorable that Adrian Peterson and Michael Turner could be in for a repeat. Peterson was in his second season last year. When you examine the physical profile and running style of these players on the list, they are all after contact runners. Peterson and Turner. Turner was technically in his fifth season, which is the average point an RB who surpassed the 370 f-carry, threshold once in his career. A majority of the runners on this list started as rookies, but 13 of the 22 on the list of backs with only one season at this level or production didn't start as rookies. Anecdotal evidence? Possibly, but it is worth thinking about and I believe Matt Ryan will improve enough in year two that Turner makes a fine starter, but regresses to the bottom tier of No. 1 RBs.
One factor that could be either a positive or a negative is Peterson's insistence to add 12 pounds of muscle to his frame. Additional muscle in his core (thighs, back, abs and chest) could make him more explosive and durable. At the same time, it makes him less flexible and more prone to injury. In the end, I have to look to other backs that have been successful after adding additional weight such as Clinton Portis, Terrell Davis, Thomas Jones, Ricky Watters, and Ricky Williams. Plus, I have always thought Peterson was a special player in terms of his overall skill sets - potentially a once in an era kind of player. Michael Turner is a very good runner, but not on that level.
So I believe Turner's 2009 regression will be more significant and Peterson's production will likely remain similar to 2008.
Behind The Curtain: The Strategy Behind My RB RankingsMy initial rankings created discussion in the Shark Pool forum because of my initial perspective of Peterson and Turner, but there are also quite a few questions about several other runners I have ranked that differ significantly from convention. The same goes with other positions, but this week - for the sake of time and thoroughness - I will discuss my methodology for runners only. Next week, I'll talk about wide receivers.
The first thing I did to arrive at my 2009 RB list was to study the ranking trends from 2004-2008. I collected six forms of data:
Once I arrived at these numbers for three seasons I calculated the average for each criteria point and decided to use the results as the foundation for my positional rankings.
|
Three-year Avg.
|
Avg. Pct.
|
Avg. # Players
|
|
Top 12 Turnover
|
61%
|
7.3
|
|
Top 24 Turnover
|
47%
|
11.3
|
|
Rookies in Top 12
|
19%
|
2.3
|
|
Rookies in Top 24
|
14%
|
3.3
|
|
Three Yrs in Top 12
|
14%
|
1.7
|
|
Three Yrs in Top 24
|
24%
|
5.7
|
In my view, this data provides a convincing argument against excessive continuity from season to season when projecting performance. Based on these numbers, only five RBs finishing in the top 12 in 2008 will perform at the same level in 2009 and two of the new backs will be rookies. In the top 24, we should expect to see 13 runners from 2008 to make the top 24 in 2009 and we'll need to add a third rookie into the mix. Moreover, when deciding which players stay in the top 12-24, we see that over a three-year period, two runners maintained top-12 production and nearly six runners maintained top-24 production. The percent likelihood a player has more than three straight years of top-12 production is very low and makes a good knockout factor
Having these six parameters to formulate your top 24 forces you to make more difficult choices up front that during the season should pay off if you make the correct choices on draft day. The additional factors I use to complete this process include whether the runner is coming off a significant injury, if the player is coming off a heavy workload and on track to experience a statistical regression, and is another player in the equation to split time.
Based on these factors, here are the six, top-12 runners in 2008 that I bumped out of my 2009 rankings:
Here are the seven backs I added to the Top 12
These are players in the top 24 who I'll offer a brief explanation and likely more detail this summer.
Next week, I'll discuss my wide receiver rankings and profile some breakout candidates at the position.