Are small-school players over/undervalued in the draft?
Based on some commentary in this thread, I became interested in exploring whether small-school players have tended to be over- or under-rated on draft day. Basically, the question is:
Do players coming from non-BCS schools perform better/worse in the NFL than comparable big-school (BCS) players?
LantermanC was kind enough to provide me with his awesome Excel spreadsheet containing every player drafted from 1984 through 2007, along with position played, games started, Pro Bowls, and a plethora of other information. We'll be looking at two outcome variables, compiled by him:
Success = 1 pro bowl or 3 starting seasons, or 64 games played.
Wild Success = 2 pro bowls, 7 starting seasons, or 125 games played.
I restricted my analyses to the years 1993 (when the draft went to the current 7-round format) to 2005 (though data is available through 2007, recently drafted players haven't generally accumulated enough stats to be classified as successful). Players were categorized as being "small-school" or "large-school" according to whether they played for a BCS or non-BCS college. Undrafted players were excluded.
The knee-jerk reaction to answering the initial question is to compare the Success and Wild Success percentages of BCS and non-BCS players. But non-BCS players tend to be drafted in later rounds:
Average pick, BCS players:116
Average pick, non-BCS players:147
It's not a fair comparison. So, what we'd like to do is to somehow adjust for draft position. A more refined version of our initial question is then:
Given a BCS and non-BCS player selected at the same spot in the draft, which has performed better in the NFL?
Fortunately, we can answer this question using a basic logistic regression. Without going into too much detail, we model the probability of Success (or Wild Success) as a function of BCS/non-BCS and draft position. This allows us to compare the success probability of BCS and non-BCS players given that they were selected at the same place in the draft.
Running the analyses, we get that:
1. Adjusting for draft position, players from non-BCS schools are roughly 4% less likely (95% confidence interval: 20% less likely, 15% more likely) to have Success than BCS college players
2. Adjusting for draft position players from non-BCS schools are roughly 1% more likely (95% confidence interval: 20% less likely, 29% more likely) to have Wild Success than BCS college players
I re-ran the analyses, adjusting for position played; the results are basically identical.
So, bottom line:
There is little evidence to suggest that non-BCS players exceed or fall short of their expected performance based on where they were drafted.
In other words, NFL GM's do not appear to have systematically downgraded (or upgraded) players based on whether they attended a BCS or non-BCS college.
Final notes:
- If small-school players are systematically denied playing time (due to their lack of pedigree) when they have reached the NFL level, then this analysis could be misleading. In fact, if this is the case, you can't even answer the initial question.
- This analysis refers to overall trends in the NFL; it doesn't claim to be able to predict a specific GM's behavior in the future. However, it does seem to indicate that there is no substantial "market inefficiency" that can be easily exploited.
Interested to hear what people think. Thanks again to LantermanC for the fantastic dataset.
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Glad to see my many hours in the office put to good use.
Awesome writeup Cyberwulf.
This reminds me of finance class and business statistics class. It’d be cool to see an ‘inefficiency in the market’, but as soon as any such inefficiency is discovered, the market corrects itself and values things correctly.
by LantermanC on Feb 20, 2009 9:41 PM PST reply actions 0 recs
One thing I didn't include
Is that the proportion of non-BCS players drafted has followed an interesting “up and down” pattern over the years, i.e. years where a high proportion of players drafted are from BCS schools are followed by years where the proportion is quite a bit lower, and vice versa. Maybe market adjustment at work?
by cyberwulf on Feb 20, 2009 10:12 PM PST reply actions 0 recs
I don't know why you had the time to compile the list.......
I don’t know how he broke it down without his head exploding…..
But this was one of the better posts I’ve seen from a non-JM in long time.
Thanks guys. This is why I continue to lurk around here and send every hawk fan I know this direction.
I'd like to kick Josh Brown in the privates!
by The Manchild on Feb 20, 2009 11:03 PM PST reply actions 0 recs
Fascinating
While I shouldn’t be surprised, I guess I fell into the trap of “small schools don’t get enough respect” a little bit. Thanks for the hard work, I loved it.
by Fear on Feb 21, 2009 1:26 AM PST reply actions 0 recs
Really great work guys
If small-school players are systematically denied playing time (due to their lack of pedigree) when they have reached the NFL level, then this analysis could be misleading. In fact, if this is the case, you can’t even answer the initial question.
I find this part particularly interesting. I’m going to guess that big school players are on average drafted considerably higher than small school players (you may need to correct me on this). The higher a player is drafted the more chances he gets with his original team as well as other teams. It’s possible that small school players would be significantly more successful given the opportunities that big school players receive.
The other thing that really interests me is a little harder to put into words. GM’s correct for production from small school players. If Joe Flacco performed at Pitt the way he performed at Delaware there is a good chance he would have been a significantly higher pick. Can we assume that the ‘self-correcting’ done by a GM is equal to the upgrade a Flacco would receive in surrounding talent or are these players getting downgraded more than is necessary due to benefit of the doubt? I guess what I’m asking is that since the really elite players are eliminated from this equation (John Dutton = Reggie White) and the small school players are generally dropped lower because of the level of competition alone are these players really being evaluated correctly? Graphs of success per round would be helpful, are the small school players significantly outperforming your average 5th round pick while significantly underperforming your first round pick?
by Nate Dogg on Feb 21, 2009 4:29 AM PST reply actions 0 recs
Yes, the average BCS player is selected 1 round earlier.
Average pick, BCS players:116
Average pick, non-BCS players:147
by LantermanC on Feb 21, 2009 8:54 AM PST up reply actions 0 recs
To answer some of your questions
1. BCS players are drafted higher than non-BCS players on average. This is why our analysis adjusts for draft position. What I’m saying is that if a small-school player drafted with the same pick as a big-school player is given fewer NFL playing opportunities simply because he’s a small-school player, then you’ve got problems.
2. I’m not quite sure what you’re asking here. The relative success of BCS/non-BCS players drafted in the same round is basically the same.
by cyberwulf on Feb 21, 2009 8:58 AM PST up reply actions 0 recs
Well I'm still not sure as to your second question.
But here’s what I was thinking. If a GM discriminates players from small schools and a coach only discriminates based on draft position, then we wouldn’t be able to tell. And this does make sense, since a guy like Cedric Benson would probably have been cut a few years ago if he were from a small school ( or at least been drafted in the 2nd or 3rd round).
So I’m thinking that GMs either weight the risk of a small school player properly, or that coaches give playing time and second chances because of where a player was drafted.
by LantermanC on Feb 22, 2009 7:05 PM PST up reply actions 0 recs
As Nate Dogg said above, this is indeed very interesting.
Excellent job guys.
Ever since Holmgren drafted Lamar King, I’ve been suspicious of small schoolers. This makes me reconsider that bias a little.
by redwolf75 on Feb 21, 2009 9:30 AM PST reply actions 0 recs
What I want to know is not just the potential for success
but the potential for bust. Are we saying that anyone who doesn’t “succeed” is a bust?
by John Morgan on Feb 21, 2009 9:32 AM PST reply actions 0 recs
Interesting question. What would you propose a player have to do to be a bust?
For instance, Dan Cody was a bust, but it’s hard to tell what from, just looking at the data. You’d have to look up his injury history.
Alex Smith is probably a bust, but if he weren’t injured, he’s be labeled a success according to the requirements for success, since I think he has had 3 seasons of being a starter so far.
I just think it’s harder to define bust given that it’s more subjective, and I’d rather have kept it as objective as positive. Not sure how cyberwulf feels about that.
by LantermanC on Feb 21, 2009 9:37 AM PST up reply actions 0 recs
Another thing I was thinking about.
Success should be relative. Right now, if you have three seasons as a starter, that’s considered a success. But is that really a success for a 1st rounder? For a 7th rounder it certainly is. Something that would be interesting is to see is if the threshold is 50% (half the players succeed, and half the players do not succeed) for each round, what would success be? Because really, you just want to be a success, you kind of just want to be be able to pick players better than the average player.
by LantermanC on Feb 21, 2009 9:41 AM PST up reply actions 0 recs
Busting out...
Very crudely, I defined a “bust” as someone with fewer than 10 games played since they were drafted (since we included only players drafted prior to 2005, that seems relatively fair). Then, for each round of the draft, I looked at the relative probability of being a “bust” between BCS and non-BCS players, adjusting for pick within the round. Briefly, there’s no indication that there is any difference between the two groups, within any given round.
by cyberwulf on Feb 21, 2009 11:26 AM PST up reply actions 0 recs

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