Thursday, May 28, 2009

Does College Running Back workload relate to NFL Success?

I. Introduction

When considering the future NFL success of a college running back, there is usually a consideration of his workload in college. Sometimes there are thoughts that too much work will lead to injuries in the NFL. Other times it could be that too little work means a back is not ready for a full time NFL workload. Or maybe a large workload shows that the back can handle a large workload in the NFL? I decided to see if I could find any correlation between college workload and NFL success in terms of fantasy points or games missed.

II. Parameters of the Study

I started by looking at all the running backs drafted in the first 3 rounds since 2000. This gives a dataset of 54 running backs. For each running back I found the following values for their last season in college: Rushes, Catches, Touches, Games and Touches per Game.

Next I looked at their NFL careers. For each running back I calculated their fantasy points (pt/10 yards rush or rec, 1 ppr, 6 pts for TDs) in their first year in the league as well as for their career. I also found the number of career games they have played and compared it to a full NFL season of 16 games to find a career missing game percentage.

Finally, I calculated 3 sets of Pearson Correlations to see if any of the 4 college workload factors related to 1st year fantasy points, career fantasy points or career missing percentage.

NOTES: It likely goes without saying that running backs drafted in the last few years may not show accurate career values yet, but I think it was worth using them to get a sample size of 54 backs. Also, missing games may be because the player is not ready yet or stuck behind a veteran back, not just due to injury. However I saw no way to separate those out and feel like the effect should be similar.

III. Results

In a nutshell, the results showed almost no correlation between the workload of a college running back in their last collegiate season and their success and lack of missed games in the NFL. You can find the spreadsheet here. The first tab shows the Raw Data. The second tab shows the Correlations. The third tab shows the collegiate workloads of 14 top RBs in the 2008 draft.

Here is the Correlation table:

Variables

Pearson Correlation

Rushes to 1st FP/G

0.09649

Catches to 1st FP/G

-0.09311

Touches to 1st FP/G

0.07342

T/G to 1st FP/G

0.11392

Rushes to Car FP/G

0.17081

Catches to Car FP/G

0.15522

Touches to Car FP/G

0.19064

T/G to Car FP/G

0.18586

Rushes to Car Miss Pct

-0.03248

Catches to Car Miss Pct

-0.00551

Touches to Car Miss Pct

-0.03170

T/G to Car Miss Pct

-0.01238

The highest number in the set is .19 for the Touches to Career FP/G. This doesn’t show much of a relation, but it is interesting that all of the Career comparisons have the highest Pearson numbers. They are also all positive, so if we can take anything from the study, it would seem to be that more touches in a college running backs final season should lead to greater NFL success. However that is obviously a weak assertion.

It’s interesting to see such small values next to the Career Missed Games Percentage comparison. As discussed above, there are reasons besides injury for missing games. However I still would have expected high workload RBs to miss more games in the NFL.

Looking at the raw data is very interesting. The three backs who averaged over 30 touches a game are LaDainian Tomlinson, Brian Calhoun and Steven Jackson. Two of those 3 are very good NFL running backs and the 3rd has been injured in his short career. Of course, right after those three guys are some backs who have been less successful in their NFL careers: Chris Perry, Cedric Benson, William Green and DeShaun Foster. So you can see by looking at the raw data that merely ranking players by touches per game will not lead you to the very best NFL backs.

Looking at the lower end of the spectrum, players like Brian Leonard, Greg Jones, Eric Shelton and Lorenzo Booker are at the bottom of the list. None have showed much in the NFL so far although Leonard and Booker are still young. However right above those four are some very successful running backs that had light collegiate workloads like Maurice Jones-Drew, Ronnie Brown and Joseph Addai. Again, it’s easy to see that a low number of touches are not an indicator of poor future performance.

Finally, it’s interesting to compare this year’s crop of college running backs to those from the past. The most interesting thing to note is that the previous record for touches in a season in this data set was 401 by Brian Calhoun. That record is shattered this season with Kevin Smith’s 474 touches for Central Florida. Ray Rice also beat Calhoun with 404 touches. In fact, adding in Matt Forte’s 393 touches puts 3 of the top 5 workloads in this year’s class, with Steven Jackson just ahead of Forte with 394 for 4th place. It’s probably just a quirk, but it is interesting to see. Smith, Rice and Forte also all averaged over 30 touches a game, which had only been done by Tomlinson, Calhoun and Jackson among the past 54 RBs. I’m sure fantasy owners will be happy if this year’s trio has the same level of NFL success as those three.

On the low level, there are two interesting players to check. The first is Felix Jones, who at 11.46 touches per game would be the second lowest in that category of the data set. That puts him just above Brian Leonard and just below Greg Jones and Eric Shelton. The other player to watch is Ryan Torain, who got hurt after 6 games last season. His 117 touches in those games are the 2007 low, but he had a respectable 19.50 touches per game. The only player with a lower number of touches in his final season was Tony Hollings, who had 95. However, Hollings got those touches in only 4 games for a 23.75 per game average, good enough for 22nd out of the 54 RBs in the data set.

On a side note, let’s hear it for LaDainian Tomlinson. He is ranked 1st in rushes, 4th in touches, 1st in touches/game, 4th in first year fantasy points per game, 1st in career fantasy points per game and has only missed one game out of 112. That is a stud.

IV. Conclusions

Looking at the results of this study, it appears that there is not a correlation between college running back workload and NFL success nor is there a relationship between heavy workload and more games missed in the NFL. However, I think that showing that there is not a relationship or correlation is useful information for evaluating the NFL prospect of college running backs. The ideas that a heavy workload is bad due to greater injury propensity in the NFL or that a light workload means that a running back can’t handle a pounding in the NFL should be taken with a grain of salt after reviewing this study.

In retrospect, a way to make the study more accurate might be to include the workload over a running back’s entire college career instead of only their last season. We could also use more than the first 3 rounds of drafted running backs to get a larger data set than 54 runners. However, even with these minor quibbles, I feel confident in excluding these worries for the most part when I evaluate future college running backs.

Wednesday, March 25, 2009

Fantasy Points by Draft Position

Fantasy Point Distribution by NFL Draft Round
By John Powderly



I: Introduction


I was recently thinking about how excited people get about fantasy football sleepers. Someone who drafted Marques Colston last season was estatic and likely making sure their fellow owners knew all about their sleeper-finding skills. That got me wondering how often a lower round NFL draft pick really makes a mark in fantasy football. I have always assumed that most of the top fantasy football scorers are higher draft picks, but I had no way of knowing how true that is and whether there is any sort of pattern to the fantasy point distribution among NFL draft rounds. So I decided to try to find out.



II: Parameters of the Study


I decided to take the top 30 fantasy point performers at QB, RB, WR and TE over the last 5 years and find out in what round each player was drafted in the NFL Draft. To address positional inequalities in fantasy football lineups, I also compared an average 12 team starting lineup of 1 QB, 2 RB, 3 WR and 1 TE (ie. Top 12 QBs, Top 24 RBs, etc) over the last 5 years. I was going to compare both total fantasy point distribution, as well as draft round distribution. In other words, how many of the top 30 QBs last season were drafted in the 1st round? How many of the Top 30 from 2002 were drafted in the 3rd round? I believe that examining these data points may help me determine how often a lower round draft pick contributes to a fantasy football team and whether there are any lessons to be learned that could help me in the future.



A trickier part of the study was the fact that it wasn't possible to know exactly which years of NFL draft data would perfectly coincide with 5 years of fantasy point data. Someone who was a top 24 RB in 2003 could have been drafted back in 1991. But using the entire 1991 draft as a data point for fantasy points in 2002 through 2006 was probably unfair because of the short duration of the average football player's career. There is no way to find a perfect match, but for this study I decided to go back through 10 years of NFL draft data. So I will examine drafts from 1997 through 2006 and compare to fantasy points from 2002 through 2006. This should give me a large enough dataset to make some reasonable conclusions.



III: Results of the Study


The data set is available in spreadsheet form here. Let's look at the results by position.


Quarterback:

Here are the Draft Slot and Fantasy Point distributions for the Top 30 QBs from 2002 to 2006 (or 150 QBs in total)



  • Round 1 - 68 or 45.3% of the Top 150 QBs were drafted in Round 1; 47.07% of fantasy points were from Round 1 draftees

  • Round 2 - 17 or 11.3% of the slots; 11.89% of fantasy points

  • Round 3 - 6 or 4% of the slots; 3.02% of fantasy points

  • Round 4 - 7 or 4.7% of the slots; 4.96% of fantasy points

  • Round 5 - 3 or 2% of the slots; 1.7% of fantasy points

  • Round 6 - 20 or 13.3% of the slots; 13.33% of fantasy points

  • Round 7 - 2 or 1.3% of the slots; 1.02% of fantasy points

  • Round 8 - 4 or 2.7% of the slots; 3.41% of fantasy points

  • Round 9 - 4 or 2.7% of the slots; 2.36% of fantasy points

  • UDFA (UnDraftedFreeAgent) - 19 or 12.7% of the slots; 11.24% of fantasy points


In examining these numbers, the first thing that jumps out is the outlier of the round 6 QBs. The second most Top 30 slots are from 6th round Quarterbacks. Everyone knows about Tom Brady, but Marc Bulger and Matt Hasselbeck also contributed to the 6th round QB successes.



Another noticable result is that the draft slot percentage and fantasy points percentage are pretty closely tied. I expected an even distribution, but wanted to see if there was a case where, besides having the most slots, a particular round had a much higher percentage of fantasy points within those slots. That doesn't seem to be the case here.



The final observation from these results is that the most draft slots and fantasy points came from QBs drafted in the 1st round. In fact, I added up the first three rounds to come up with 60.6% of the Top 30 scorers over the last 5 years have been first day draftees.




Next, I did the same examination for the Top 12 QBs each year (60 QBs total), or those that should be starting in a 12 team, Start 1 QB fantasy league. Here are the results:



  • Round 1 - 26 slots or 43.33%

  • Round 2 - 9 slots or 15%

  • Round 3 - 0 slots

  • Round 4 - 4 slots or 6.67%

  • Round 5 - 0 slots

  • Round 6 - 10 slots or 16.67%

  • Round 7 - 0 slots

  • Round 8 - 4 slots or 6.67%

  • Round 9 - 1 slot or 1.67%

  • UDFA - 6 slots or 10%


So we again see that Round 1 has the most Top 12 fantasy points finishes and Round 6 still does surprisingly well.



Running Back:
Here are the Draft Slot and Fantasy Point distributions for the Top 30 RBs from 2002 to 2006 (or 150 RBs in total)


  • Round 1 - 71 or 47.33% of the Top 150 RBs were drafted in Round 1; 48.69% of fantasy points were from Round 1 draftees

  • Round 2 - 26 or 17.33% of the slots; 18.29% of fantasy points

  • Round 3 - 25 or 16.67% of the slots; 15.43% of fantasy points

  • Round 4 - 15 or 10% of the slots; 8.9% of fantasy points

  • Round 5 - 1 or 0.67% of the slots; 0.44% of fantasy points

  • Round 6 - 2 or 1.33% of the slots; 1.28% of fantasy points

  • UDFA (UnDraftedFreeAgent) - 10 or 6.67% of the slots; 6.96% of fantasy points


In examining these numbers, the first thing that jumps out is the expected downward trend of Top 30 slots with draft round. The first round has the most, followed by the 2nd, followed by the 3rd, etc. This seems to indicate to me that, in general, NFL teams knew what they were doing when drafting running backs. The ones drafted in the first round had a greater chance of contributing in terms of fantasy points than those drafted in the 2nd round, and so on. Of course, there also may be more pressure for the coach to play a first round RB, thus increasing his points. Either way, as a fantasy owner, you win.



Again notice that the draft slot percentage and fantasy points percentage are pretty closely tied. This mirrors the QB position and lends more weight to the conclusion that there is an even distribution of rounds within the Top 30.



A final observation is the much greater percentage of First Day draftees on the list than at the QB position. The First Day RBs account for 81.33% of the Top 30 fantasy scorers over those 5 years. This is far greater than the 60.6% for QBs. One possible explaination for this is that running backs are easier to evaluate than quarterbacks, so it is far less often that all teams "miss" on a great player until the later rounds. Priest Holmes and Willie Parker are really uncommon exceptions.




Next, I did the same examination for the Top 24 RBs each year (120 RBs total), or those that should be starting in a 12 team, Start 2 RB fantasy league. Here are the results:



  • Round 1 - 57 slots or 47.5%

  • Round 2 - 24 slots or 20%

  • Round 3 - 19 slots or 15.83%

  • Round 4 - 11 slots or 9.16%

  • Round 5 - 0 slots

  • Round 6 - 2 slots or 1.67%

  • UDFA - 7 slots or 5.83%


So we again see that Round 1 has the most Top 24 fantasy points finishes and that the first day is a very high 83.33%.



Wide Receiver:
Here are the Draft Slot and Fantasy Point distributions for the Top 30 WRs from 2002 to 2006 (or 150 WRs in total)



  • Round 1 - 69 or 46% of the Top 150 WRs were drafted in Round 1; 45.75% of fantasy points were from Round 1 draftees

  • Round 2 - 33 or 22% of the slots; 21.46% of fantasy points

  • Round 3 - 21 or 14% of the slots; 15.18% of fantasy points

  • Round 4 - 7 or 4.67% of the slots; 4.32% of fantasy points

  • Round 5 - 3 or 2% of the slots; 2.28% of fantasy points

  • Round 6 - 0 slots

  • Round 7 - 7 or 4.67% of the slots; 4.85% of fantasy points

  • Round 12 - 2 or 1.33% of the slots; 1.31% of fantasy points

  • UDFA (UnDraftedFreeAgent) - 8 or 5.33% of the slots; 4.85% of fantasy points


In examining these numbers, we see the same downward trend as we did with the running backs. So again, it seems like the NFL knows how to evaluate WRs and that generally the higher a WR is drafted, the more likely he is to be a Top 30 performer in fantasy points.



As with the Running Backs, the First Day percentage on WRs is very high. 82% of the Top 30 WRs from 2002 through 2006 were drafted on the first day of the draft.



You have to love 12th rounder Keenan McCardell finishing in the Top 30 twice. In fact, he finished 10th and 17th. I guess he showed those scouts.



Keenan highlights an interesting trend: Several of the lower round or UDFA WRs are older WRs who were drafted awhile ago, like McCardell, Rod Smith, Wayne Chrebet and Donald Driver. This could mean that as the years go by, NFL teams get better and better at scouting talent and fewer players slip through the cracks. However, there is not enough data to come to a solid conclusion about this trend, as Colston has proven.




Next, I did the same examination for the Top 36 WRs each year (180 WRs total), or those that should be starting in a 12 team, Start 3 WR fantasy league. Here are the results:



  • Round 1 - 77 slots or 42.78%

  • Round 2 - 39 slots or 21.67%

  • Round 3 - 27 slots or 15%

  • Round 4 - 10 slots or 5.56%

  • Round 5 - 3 slots or 1.67%

  • Round 6 - 2 slots or 1.11%

  • Round 7 - 8 slots or 4.44%

  • Round 12 - 2 slots or 1.11%

  • UDFA - 12 slots or 6.67%


So we again see that Round 1 has the most Top 36 fantasy points finishes.


Tight End:
Here are the Draft Slot and Fantasy Point distributions for the Top 30 TEs from 2002 to 2006 (or 150 TEs in total)



  • Round 1 - 39 or 26% of the Top 150 TEs were drafted in Round 1; 31.45% of fantasy points were from Round 1 draftees

  • Round 2 - 32 or 21.33% of the slots; 19.22% of fantasy points

  • Round 3 - 20 or 13.33% of the slots; 12.87% of fantasy points

  • Round 4 - 10 or 6.67% of the slots; 6.44% of fantasy points

  • Round 5 - 3 or 2% of the slots; 1.14% of fantasy points

  • Round 6 - 12 or 8% of the slots; 6.47% of fantasy points

  • Round 7 - 11 or 7.33% of the slots; 6.92% of fantasy points

  • UDFA (UnDraftedFreeAgent) - 23 or 15.33% of the slots; 15.48% of fantasy points


In examining these numbers, the first thing that jumps out is the more even distribution of slots by round. The TE position looks much more like the QB position than the RB or WR positions. Look at the high values for rounds 6, 7 and UDFAs. Only the 6th round QBs have a higher number of 6, 7 or UDFA slots taken than the TEs. Clearly this is a position that NFL teams have a hard time projecting with certainty.



Another interesting result is the large difference between the Round 1 slot percentage and the Round 1 fantasy point percentage. Every other round at other positions have a 0 to 2 percent difference. But here that difference is doubled, at 5.45%. This leads me to believe that the first round TEs that are successful enough to be in the Top 30 list are very successful within that list. Tight Ends like Jeremy Shockey, Tony Gonzalez and Todd Heap are high up on the list every year. Possibly NFL teams do greater due diligence when scouting a TE that they would consider taking with their first pick.



As expected based on the first comment, TEs have only a 60.66% First Day percentage, almost exactly the same rate as the QBs. This reinforces the idea that TE is a difficult position to scout.




Next, I did the same examination for the Top 12 TEs each year (60 TEs total), or those that should be starting in a 12 team, Start 1 TE fantasy league. Here are the results:



  • Round 1 - 24 slots or 40%

  • Round 2 - 12 slots or 20%

  • Round 3 - 5 slots or 8.33%

  • Round 4 - 5 slots or 8.33%

  • Round 5 - 0 slots

  • Round 6 - 3 slots or 5%

  • Round 7 - 4 slots or 6.67%

  • UDFA - 7 slots or 11.67%


Notice the higher percentage for Top 12 TEs in the first round, 40%, compared to the Top 30's 26%. This is another data point that shows that the first round TEs that make it into the Top 30 also likely make it into the Top 12.




IV: Fuzzy Math


As mentioned in section II, I also wanted to try to find out what percentage of total players drafted by position and round made up the Top 30 fantasy point list. In other words, if you consider making the Top 30 fantasy point list in a given season a "success", then what percentage of players drafted were "successful"?



There are a couple of issues with this part of the study. First of all, as mentioned in section II, there is not a way to completely map which drafts produced most/all of the Top 30 lists from 2002 to 2006. I decided to look back 10 years to 1997 and examine drafts from 1997 to 2006.



The second issue is that it may not be reasonable at the QB and TE position to assume that a player ranking 30th in fantasy points was successful. To combat this issue, I am going to use the fantasy starting lineup list (ie. Top 12 QBs, Top 24 RBs, etc) to define success. Of course, this shortchanges the good backup players that likely had to start in your lineup due to an injury or bye week, but I would rather underestimate than overestimate.



So let's look at the data. Here are the number of players drafted at each position in each round from 1997 to 2006:


QB:

  • Rd 1 - 27

  • Rd 2 - 8

  • Rd 3 - 14

  • Rd 4 - 13

  • Rd 5 - 14

  • Rd 6 - 21

  • Rd 7 - 27


RB:

  • Rd 1 - 30

  • Rd 2 - 21

  • Rd 3 - 25

  • Rd 4 - 34

  • Rd 5 - 17

  • Rd 6 - 15

  • Rd 7 - 29


WR:

  • Rd 1 - 41

  • Rd 2 - 41

  • Rd 3 - 37

  • Rd 4 - 42

  • Rd 5 - 40

  • Rd 6 - 50

  • Rd 7 - 64


TE:

  • Rd 1 - 14

  • Rd 2 - 18

  • Rd 3 - 20

  • Rd 4 - 14

  • Rd 5 - 26

  • Rd 6 - 21

  • Rd 7 - 31


Comment: Interesting that 2nd round quarterbacks are the most rare. This probably shows the pressure on NFL teams to pick a QB in the first round, even if they are graded out as a second rounder (coughcoughJPLosmancoughcough).



If we assume that each player drafted has 5 chances or 5 seasons to be in one of the 5 Top 12 lists from 2002 to 2006, then we can multiple all these numbers by 5 to get a total number of seasons that each position/draft round combination could be in the list. So if we then divide the number of players making the Top 12, 24, 36 or 12 list at each position for each round by these seasons, we MAY be able to infer the general success rate for being a fantasy football "starter".




QB: Top 12 TotSeasons PctSuccess

  • Rd 1 - 26 135 19.25%

  • Rd 2 - 9 40 22.50%

  • Rd 3 - 0 70 0.00%

  • Rd 4 - 4 65 6.15%

  • Rd 5 - 0 70 0.00%

  • Rd 6 - 10 105 9.52%

  • Rd 7 - 0 135 0.00%


Comments: One interesting thing we see here is that although there were almost 3 times as many Top 12 QBs drafted in round 1 as round 2, there was a higher percentage of QBs drafted in round 2 that made the Top 12 because fewer were drafted. Second rounders like Favre, Brees and Plummer really helped increase the success rate.
Another observation is that although we have seen the large number of successful 6th round QBs like Brady, Bulger and Hasselbeck, so many have been drafted in the 6th round that the success rate is not that impressive.
It's also interesting that the 3rd round, in which there should still be some talented QBs available, has a 0% success rate. Former young guns Brian Griese, Charlie Frye, Chris Simms and Josh McCown were all 3rd round picks.




RB: Top 24 TotSeasons PctSuccess

  • Rd 1 - 57 150 38.00%

  • Rd 2 - 24 105 22.85%

  • Rd 3 - 19 125 15.20%

  • Rd 4 - 11 170 6.47%

  • Rd 5 - 0 85 0.00%

  • Rd 6 - 2 75 2.67%

  • Rd 7 - 0 0 0.00%


Comments: Easy to see again that at running back, the first day picks are the most likely to have success and the rate drops off after that. What is really interesting to me is the number of RBs drafted (seasons) in rounds 2 and 4. For all the talk about being able to find RBs anywhere for some offenses, there sure is a large drop off from round 1 to round 2. That tells me that NFL teams are making sure to draft a RB with their 1st rounder if they want a player because they value the position highly. There is also a huge jump in the 4th round, which is when teams have re-adjusted their draft boards for the 2nd day. Combine these two things with the fact that there are less lower round or UDFA sleepers on the Top 24 list and I think it's clear that running back is a position highly valued and highly scouted by NFL teams. Maybe that is going to change as more teams go to a RBBC approach, but that hasn't happened over the last 5 years.



Statistical oddity: There are no Top 12/24 performers from the 5th and 7th rounds for both QBs and RBs. I guess those numbers are unlucky.




WR: Top 36 TotSeasons PctSuccess

  • Rd 1 - 77 205 37.56%

  • Rd 2 - 39 205 19.02%

  • Rd 3 - 27 185 14.59%

  • Rd 4 - 10 210 4.76%

  • Rd 5 - 3 200 1.50%

  • Rd 6 - 2 250 0.80%

  • Rd 7 - 8 320 2.50%


Comments: Similar to the RB position, Wide receivers that are drafted earlier in the draft seem to be more successful, with the a pretty severe fall off after the first day of the draft. What is interesting to me is the large number of WRs drafted in the 6th and 7th rounds. Those rounds have the most WRs drafted for the last 10 years. Apparently all you need is a pulse to get drafted at the end of the second day if you are a WR. As excited as the Saints were about Colston last year, he has several high performance years ahead to match 7th rounders Donald Driver (4 Top 36 finishes) and T.J. Houshmandzadeh (3). "Championship" indeed.




TE: Top 12 TotSeasons PctSuccess

  • Rd 1 - 24 70 34.28%

  • Rd 2 - 12 90 13.33%

  • Rd 3 - 5 100 5.00%

  • Rd 4 - 5 70 7.14%

  • Rd 5 - 0 130 0.00%

  • Rd 6 - 3 105 2.85%

  • Rd 7 - 4 155 2.58%


Comments: This data looks similar to the QB data. Some good success in the first round, but random success after that. The most TEs drafted in the last 10 years have been in the 6th and 7th rounds.



Statistical oddity Part 2: At 3 of our 4 positions (QB, RB and TE) there have been no players drafted in the 5th round that finished the season as a fantasy starter. That is very strange. I guess the 5th round is for slackers. And hats off to the man responsible for the 3 fantasy starter seasons from the 5th round at wide receiver, Joe Horn. You're no slacker, Joe.





V. What does it all mean, Basil?


So what conclusions can we reach with this data? Well, I think it's clear that there is a lot of evidence that the earlier a player is drafted, the greater chance of fantasy football success he will have. The QB and TE positions show that there is some uncertainty about evaluating the position, as there are some top performers later in the draft or who are undrafted.



The RB and WR positions are remarkable similar in their success rates. They average approximately a 38% success rate for 1st rounders, a 20% success rate for 2nd rounders and a 15% success rate for 3rd rounders.



The lesson for fantasy football owners should probably be to heed the advice given to you by the NFL teams in form of the draft order. Sure there are players like Ryan Leaf and Tom Brady who don't perform to the level of their draft round. And maybe you are a very good judge of college talent and just know that Jerome Harrison should have been a 3rd rounder, not a 5th rounder. But do yourself a favor and draft the running backs taken in rounds 3 and 4 first. You will likely have more success that way.

Sunday, January 27, 2008

Detailed Analysis of 2005 NFL Injury Reports for Fantasy Purposes

This article was written about the 2005 NFL season and selected as a freelance article by Footballguys.com, but never published on the site.



Detailed Analysis of NFL Injury Reports for Fantasy Purposes

By ConstruxBoy

I. Introduction

One of the most difficult and frustrating experiences in playing fantasy football is checking the weekly injury reports and trying to decide whether or not your player will play in their game. Many a fantasy owner's ulcer has been started by coaches who do as much as possible to cloud their player's true injury status. I think it would help owners a great deal in their weekly start/bench decisions to examine how often injured players actually play and how much they contribute when they do play injured compared to their average fantasy output. I am going to attempt to shed some light on the injury report and how it can be used to its greatest utility by a fantasy football owner.

II. Parameters of the Study

Each week of the 2005 NFL season, I used the Footballguys Friday afternoon Injury Report in the Subscriber section. I entered every injury for every team to a starter at a normal fantasy football position (QB, RB, WR, TE, PK; apologies to IDP owners) for the three levels of injury status: Doubtful, Questionable and Probable. I skipped the Out status because there is never a reason to start a player who is declared out.

For each injured player, I recorded several different variables in the Raw Data section of the spreadsheet:

1) I recorded the week of the injury to see if there were any trends toward more injuries later in the year or more players playing through injuries later in the year.

2) I recorded whether the game is a non-Sunday afternoon game (Thursday, Friday, Saturday, Sunday Night, Monday Night) to see if less players play in earlier games or more play in later games.

3) I recorded the player's team to see if there were trends by team, such as Jeff Fisher not understanding the definition of the word "questionable".

4) I recorded the player's opponent and whether it was a division game or not to see if there were patterns of players playing more often in division games.

5) I recorded the player's position to see if there were any trends by position.

6) I checked the current depth chart to ensure that I was talking about "starters" when reporting and comparing this information.

7) I recorded the player's injury status to see if Probable players really do play more than Questionable players.

8) I recorded the actual injured body part to see there were any trends toward certain injuries, like the knee, making a player less likely to play.

9) After the game, I recorded whether the player played and how many fantasy points they scored on a 6/TD, .1 Rush/Rec Yds, .05 Pass Yds scale.

10) After the season, I recorded each players average fantasy points per game for the year and compared it to their points in the games they played hurt.

If it sounds like a lot of work, it was.

There are a couple of things worth clarifying with these parameters:

1) It is sometimes the case that a player may have their injury status change between Friday afternoon and game time, or that more information on a given player's chance of playing may come out on Sunday morning from an insider like Chris Mortensen. I did not account for these changes in this study.

2) To consider a player playing, I required them to score at least .1 fantasy points in the game. Obviously a player could see the field but never get a carry or catch a pass. However, tracking that through a play-by-play examination of each game is too difficult and the idea for our fantasy football purposes is that they contribute points.

3) Starters - I believe that the only accurate way to measure this information is to just track "starters", as backups are listed on injury reports but often don't play regardless of their injury. I used the Depth Chart to identify starters and keep in mind that it changes from week to week due to other injuries. Also keep in mind that I defined most WR3s, like Kevin Curtis, and RB2s, like TJ Duckett, as starters if they regularly receive work each game. So most teams will have 1 QB, 2 RB, 3 WR, 1 TE and 1 PK as starters. (One small exception was the week 15 Patriots, who listed their top 4 RBs as Questionable. Good luck figuring out the NE RB that week). This is obviously a judgment call on my part and will influence the results to a small degree.

III. Results

Overall

Now I would like to review some of the results on the study. The full data set and summarized results are available in the spreadsheet here. Overall, I tracked 562 injuries in which 374, or 66.5% (Play rate), end up with the player scoring fantasy points. The percentages based on the injury status were 5.6% playing for Doubtful, 50.4% playing for Questionable, and 89.7% playing for Probable. At a very high level, the lesson seems clear: Doubtful players seldom play and Probable players usually play. Baring any last minute game day updates, you should almost never start a Doubtful player and you should almost always start a Probable player. It's the Questionable players, appropriately, that need much further analysis.

Division Games

As you might suspect, the percentages of players playing in Divisional games is higher across the board, although not quite as high as I would have thought. The percentages are 7.1%, 56.9% and 90.6% for Doubtful, Questionable and Probable respectively. Although this wasn't originally part of the study, I calculated 562 fantasy position injuries for 256 total NFL games, or 2.2 injuries/game. I had suspected that the Divisional game rate would be higher in an attempt by some coaches at gamesmanship, listing more players as injured to throw off their most bitter opponents. This turned out to be true; 222 divisional fantasy position injuries in 96 divisional games for a 2.3 injuries/game rate. But the increase was not as high as I thought it would be. However, combining the higher injury rate for divisional games with the higher actual play rate for divisional games makes me believe that some gamesmanship is going on in these important contests. This is something to keep in mind when your player suddenly shows up on the injury list for an important divisional game.

Day of Game

Another part of the study was to examine whether players are more likely to play in later games (Sunday Night, Monday Night) or less likely to play in earlier games. With so many games on Sunday afternoons, the sample size for the other times are probably too small to be relevant. But the data does show an interesting result: Almost all the other game times (Thursday, Saturday, Sunday Night and Monday Night) show a higher overall percentage of players playing through the injury than Sunday afternoon, at play rates of 85.7%, 70.8%, 68.8% and 69.4% respectively to Sunday afternoon's 65.4%. Again the small sample size does skew the data some, but I would have expected a decrease for games before Sunday afternoon.

Week of the Season

Another way to examine the data is to see whether the players were more likely to play later in the season, when their team has completed its Bye week and might be fighting for a playoff spot. If you look at the week-by-week data in graphical form, you can't see any real pattern.

The only important trend that I see here is that week 17 shows a decrease in the percentage of Probable players who play, as well as a lower percentage in the Questionable category. This confirms the common knowledge that some players are rested in week 17 if their team has secured their playoff position.

What is a little bit more interesting is a graph of the total number of fantasy position injuries throughout the year.

Here you can see that the number of injuries grows throughout the season with a small dip down after the Bye weeks have been completed and then another upward trend leading into week 17. Players get more banged up as the year goes on, but this seems to be some further evidence that coaches increase their injury report as week 16 and 17 approach so that they can rest the starters.

Position

The positional analysis shows some interesting trends. First of all, the total percentage played results are as follows:

QB

80.5%

RB

66.7%

WR

63.0%

TE

55.7%

PK

74.3%

I was not surprised to see QB and PK at the top of the list, but a little bit surprised to see TE at the bottom. Given that the TE is generally the biggest/strongest among the RB/WR/TE players, I expected them to play through injury more than most. When further examining the detail, I see that they have the second highest percentage of probable players who play, 92.6%, second only to the QBs' 98.1%. But they have an abysmal 41.3% of questionable players who play, almost 10% worse than the second lowest percentage, the RBs' 50.6%. The only explanation I can come up with for this anomaly, other than the fact that they really don't play through injury at the same rate as other positions, is that they are more replaceable in the lineup than the other positions. Maybe if the TE hurt was the blocking specialist, a team would change their game plan to adjust to using quicker patterns or more throws to the backup TE and not rush the starting TE back into the lineup. Looking at the raw data, many of the Questionable TEs who didn't play do appear to have been replaceable. Here is a partial list:

Team

Questionable Starter

Possible backup

CLE

Aaron Shea

Steve Heiden

GB

Bubba Franks

David Martin

NE

Daniel Graham

Ben Watson

NO

Ernie Conwell

Zach Hilton

TEN

Erron Kinney

Ben Troupe

TEN

Ben Troupe

Erron Kinney

So maybe in weeks 9 and 11 when Ben Troupe was questionable with an ankle injury, Jeff Fisher just changed the game plan to match Kinney's strengths. And when Kinney was questionable with a knee injury in weeks 15 and 17, Fisher worked Troupe's strengths into the game plan.

A lesson for fantasy football owners here may be that if your TE is questionable and there are other decent TEs on his team, it may be more likely that he does not play.

The position with the lowest percentage of Probable players to play was WR, with an 83.1% play rate. This is a lower percentage of probable players playing than the Overall Percentage, Division Percentage and most Week percentages. I am unsure of whether this means that the WRs cannot play as easily with a "probable" level injury as other positions or whether they just can't play through minor injury due to pain. I can see a minor injury affecting a WRs speed and making him less likely to be effective, although I can also see some of the "Prima Donna" WRs not wanting to play through the pain. For what it's worth, Terrell Owens was listed as probable 4 weeks and Randy Moss was listed as Probable 7 weeks and both played in every week.

Team

Some very interesting results are seen at the team level. Although there has been a lot of turnover in head coaches this season, there is still some value in seeing how coaches use the injury list. A common conclusion is that Jeff Fisher of the Titans never uses Probable or Doubtful but lists all his players as Questionable to make if more difficult for the other team to prepare.

To start the examination of the team-by-team results, I'll list the teams with at least 14 reported injuries and a less than 60% overall play rate:

Team

# of Injuries Reported

Play Rate

NO

14

28.6%

SF

24

37.5%

CLE

14

50%

GB

16

50%

DET

21

52.4%

JAC

19

52.6%

HOU

20

55%

CHI

14

57.1%

STL

24

58.3%

WAS

22

59.1%

Assuming that on average there was a 66.5% overall play rate, some of these percentages may help you identify teams that don't/won't let their players play through pain or risk further injuries. NO and SF are especially low. Jim Haslett has moved on from coaching the Saints, but Mike Nolan at SF does not appear to like his injured players to play.

Two interesting notes outside of this range: Both BUF and DAL only listed 3 fantasy position starter injuries all year, with the 1 Probable Bills player playing and none of the 3 Questionable Cowboys players playing. The teams may have just been lucky or possibly there coaches do not like to list players on the injury report. That is easy to see from Bill Parcells of the Cowboys based on his statements over the years, from Terry Glenn of a decade ago to Julius Jones recently.

At the other end of the spectrum are teams that have a high play rate. Here is a list of the teams with at least 14 players listed and more than an 80% overall play rate:

Team

# of Injuries Reported

Play Rate

DEN

14

92.9%

PHI

25

92.7%

IND

16

87.5%

CIN

22

86.4%

CAR

14

85.7%

One interesting thing that I see from this data is that those are all some pretty good teams who have had a lot of recent success and have solid coaches. It seems that perhaps these coaches motivate their players to play through injury and that leads to more success on the field. On the other hand, maybe these good coaches like to list lots of players on the injury report even though they know that the player will be able to play. Either way, it's something to keep in mind for 2006.

Two interesting notes outside this range: The Giants were 100% on there 7 players listed and SD was 10 for 11 on their players listed. Both Tom Coughlin and Marty Schottenheimer seem like old school coaches that do not like to list many players on the injury report, but expect them to play when listed.

A more important view of the team injury results is checking each team's Questionable players to see if there are any trends that may help you when choosing who to start for your fantasy team. Here is a list of the Number and Play Rate for Questionable players on all teams:

Team

# of Questionable Players

Play Rate

Team

# of Questionable Players

Play Rate

ARI

2

50%

MIA

7

71.4%

ATL

6

33.3%

MIN

2

100%

BAL

4

25%

NE

31

51.6%

BUF

2

0%

NO

14

28.6%

CAR

4

75%

NYG

3

100%

CHI

7

42.9%

NYJ

3

33.3%

CIN

3

66.7%

OAK

4

100%

CLE

8

25%

PHI

5

80%

DAL

3

0%

PIT

8

37.5%

DEN

2

50%

SD

10

90%

DET

15

40%

SF

12

33.3%

GB

10

30%

SEA

2

50%

HOU

11

27.3%

STL

6

50%

IND

3

33.3%

TB

9

66.7%

JAC

6

16.7%

TEN

44

72.7%

KC

3

66.7%

WAS

5

0%

Some interesting notes from this list:

1) Jeff Fisher does win the award for most Questionable players with 44 and a 72.7% play rate shows that he is mostly just playing mind games. Bill Belichick comes in 2nd place with 31 Questionable players, but his players only play at a reasonable 51.6% rate.

2) Those 44 Questionable players are the only players on the TEN list. No fantasy position starter was ever listed as Doubtful or Probable. NO had the same oddity with a much lower play rate of 28.4%.

3) Although there were not many players listed, MIN, NYG and OAK get a thumb up for playing all of their Questionable players.

It's hard to draw a lot of conclusions from this data due to small sample sizes, but if nothing else it's instructive to see that most of the teams that list lots of players as Questionable, like NE, NO, DET, SF, HOU and GB, do not play those players at a very high rate. Other than the Patriots, those teams did not fare very well last season.

Injury

Finally, let's look at the Injury data to see if we can tell that certain injuries are less likely to result in the player playing in the game. First let's look at all the injuries with 15 or more instances and their overall play rate:

Injury

Instances

Play Rate

Knee

145

56.6%

Ankle

70

60%

Shoulder

56

75%

Calf

35

80%

Foot

34

79.4%

Hamstring

31

67.7%

Back

22

72.7%

Groin

17

94.1%

Toe

17

41.2%

Quad

15

40%

Two things that stand out from these numbers are the huge number of Knee injuries, with a poor play rate of 56.6%, and the very high play rate for Groin injuries. I would have expected Groin injuries to keep players out of the lineup more often.

Looking in more detail at the important Questionable listings, here are some of the good play rates for questionable injuries:

Injury

Instances

Play Rate

Foot

18

77.8%

Chest

8

75%

Back

14

71.4%

Elbow

8

62.5%

It seems like both Foot and Back injuries are pretty good bets to play, along with the Groin, based on the last two tables.

Now let's look at the poor play rates for Questionable listings:

Injury

Instances

Play Rate

Quad

7

14.3%

Knee

72

37.5%

Concussion

7

42.9%

Ankle

42

45.2%

Hamstring

13

46.2%

Shoulder

21

47.6%

So besides the already mentioned poor play rate on Knee injuries, it also looks like Quad and Concussion injuries are difficult to play through. Keep in mind, of course, that 7 instances of each of those Questionable injuries is a very small sample size.

Average points per Game

The secondary part of my research was to examine the number of fantasy points per game scored by players playing injured, compare that value to those player's average fantasy points for 2005, and see if there was a noticeable difference. It seems like the overall point per game average should be lower overall for injured players and likely lower as the injury status goes from Probable to Questionable to Doubtful.

However, looking at the actual data, this is only partially true. Here are the overall numbers:

Injury Status

Avg Pts when Play

Avg Pts per Game for Year

Difference

Doubtful

4.8

9.5

-4.8

Questionable

9.2

9.4

-0.2

Probable

11.1

11.3

-0.2

TOTAL

10.4

10.6

-0.2

The Doubtful values are based on only two players playing through injury (Randy Moss in week 7 and Fred Taylor in week 11), so the sample size is too small to draw a true conclusion. But look at the difference for Questionable, Probable and Total: Players who played only scored .2 points per game less than their yearly per game average. The value is so negligible that you could almost say that if a player plays through the injury, on average, they should score the same amount that they would any other week. I had expected at least a point or two difference for the Probable status and a couple of times that decrease for the Questionable status. Let's dig into more detail to see if we can identify situations where the players do score consistently less than their yearly average.

At the day of the week level, we still don't see any real statistical trend, although the game time with the largest increase in points scored versus average points scored was on Monday Night, the latest game of the week. But it was a mere .7 points per game above the average.

At the week of the season level, we do see an interesting trend if we graph the data:

Other than a small up tick in week 15, 4 of the last 5 weeks have negative values (with week 17 having the lowest value of the year), meaning the players who played hurt scored less than their average for the year. We could possibly conclude that as the year wears on, players who are playing through injury find it harder to perform at their highest level. This may be a consideration when starting an injured player near the end of the year.

At the position level there are no obvious insights. The only interesting piece of data was the fact that although TEs have the lowest play pct among positions at 55.7%, they have the highest average point difference with a 1.4 points a game increase from their yearly per game average when they do play. So you may have reason to be worried that your injured TE will actually play, but you probably shouldn't be worried that his fantasy points will drop off because of the injury.

At the team level there are a couple of small insights. The lowest average difference among teams with at least 5 players playing through injury are the -3.3 pts per game of SD and the -2.3 pts per game of MIA. My thought on this result is that maybe the coaches on these teams push their players to play through injury, even though the player really is too hurt to fully contribute. Although he is new to the NFL, Nick Saban seems like an old school coach that would press his players into action, as does the veteran coach Marty Schottenheimer. At the opposite end of the spectrum are the 3.4 pts per game increase of ATL and the 2.8 pts per game increase of DET. Possibly on these teams the players are only playing when they are truly at 100% and able to contribute as though they are not injured.

Finally, at the injury level there are some trends worth discussing. First of all, let's examine the overall average point difference for the injuries with 10 or more starts:

Injury

Starts

Overall Avg Pts Diff

Knee

82

-0.3

Shoulder

42

1.0

Ankle

42

-0.5

Calf

28

0.5

Foot

27

-0.7

Hamstring

21

-0.1

Back

16

1.7

Groin

16

-1.2

One interesting note here is the Back injury, which we showed had a pretty high play rate, also has the highest average points difference here. You should feel more comfortable starting a player with a back injury than most other injuries. Conversely, the groin injury, which had a very high 94% play rate, has the lowest average points difference. So it seems like your player with a groin injury may gut it out, but not be very productive.

At the Questionable level, we also see two interesting trends. The average points difference for Questionable Knee injuries is -1.1 in 27 starts. The difference for Questionable Shoulder injuries is 1.7 in 10 starts. This reinforces the idea that knee injuries are difficult to play through and that shoulder injuries can be managed without losing too much production.

IV. Conclusions

One of my initial ideas for fantasy football use of this data was to string together the various play rates of a given injured player in 2006 to try to find out what the percentage chance was that they would play based on 2005 data. So for example, if I was trying to figure out whether to start the OAK RB in Week 6 in a non-Divisional game on a Monday night with a Questionable Back injury, I could average out the following:

Detail

Play rate

Questionable - Overall

50.4%

Questionable - MN

57.1%

Questionable - Week 6

43.8%

Questionable - RB

50.6%

Questionable - OAK

100%

Questionable - Back

71.4%

Total Average

62.2%

But now I think that a lot of the play rates included as equal weights in the average are going to be based on such small sample sizes that the result is not statistically relevant. However, it may still help someone to look through these play rates and make a generalization about whether or not their player will play. Looking at the above data, you could see the higher than overall rate for a Monday Night game and for a Back injury and maybe decide to start your player. The 100% play rate for Oakland looks nice, but Art Shell may do things totally different than Norv Turner did last year.

Although this study did not provide very many hard and fast rules that can be used to determine whether or not to start an injured player in your league, I hope that it helped point out some general trends in injury play rates and performance in those games. Some of the theories that I had regarding injury reports, such as certain coaches using the injury report as a "smokescreen" and Divisional games being an incentive to play through injury, were confirmed with this study. Others, such as games later in the week being easier to play in and injured players almost always scoring below their average, were not proven using this data set. However, hopefully you have gained enough insight into the trends in the injury report and it's use by the different teams to make your injury start/bench decisions easier and to help dominate your league.