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Just how important is the draft?

So with all the discussion about the draft this year, I wanted to do some research as to just how important the draft was. Now, I do not have an agenda here. No searching to see which GM (Shapiro, et al) has done poorly or great, although I will provide team by team numbers for comparison’s sake. This was more of a numbers crunch than anything else.

In order to get some decent sample sizes, I reviewed all of the drafts from 1988 to 1997 for every team. This is a full 10 year window. I also went back that far to allow for all the players drafted to have had a chance at making the majors. There are always late bloomers, etc. This allowed all the players from 1997 a full 10 years to reach the majors. I also did not use any data from 2008 at all. So a few players’ career numbers will change since 2008 is complete (but I am not going to revise at this late date), but it shouldn’t change much of the overall data tabulated here.

First, a couple of disclaimers. I pulled all of the draft data from the Baseball Cube. I used Baseball Cube because it actually has the highest level each player achieved: Majors, AAA, AA, A+, A, A-, and Rookie. Now I know all of the data on that site is not 100% accurate. Some players that were incorrectly identified as making the majors, and those have been corrected using Baseball Reference data. But over a 10 year span, a few incorrect numbers here and there on the minor league levels should not really affect the overall results.

Also, the draft is slightly done differently now. The draft is now capped at 50 rounds. The span I reviewed did have some teams "draft" 100 players in one year. But the majority of the teams did only draft until around 50 during those years.

Years 1988-1991 there were 26 drafting teams. Years 1992-1995 there were 28 teams (Colorado and Florida joined in). And in Years 1996-1997 there were 30 teams (Tampa Bay and Arizona joined to make the current configuration).

Now off we go.

First we will cover the total number of picks and how many actually signed.

3030770361_e97b97ef08_medium

Draft 1 file 1 (via kardiakkidz)

Note: 1992 was the only year that had 50 rounds. I suspect this was to "test" for the future.

Since we really don’t care about the total draft picks (we will look into this on a team by team basis though), only who signed, we will proceed with the signed number for the following numbers.

3031609176_8fd4faf748_medium

Draft 1 file 2 (via kardiakkidz)

And by percentages:

3030770373_3883fe56c0_medium

Draft 1 file 3 (via kardiakkidz)

So over a 10 year period, under today’s drafting rules, every team will have 500 picks. Let’s assume that they us all of the draft picks for this scenario. Based on the average percentages, a team will sign approximately 294 of those 500 players. Of those 294 players, 46 will make the show, 38 will reach AAA, 38 will reach AA, 57 will reach A+, 40 will reach A, 31 will reach A-, and 43 will not even get out of rookie league. Dividing each of those by 10, and the "expected" major leaguers per draft per team is 5.

 

Of course, making the majors is a big deal, but it does not tell the whole story. But we will get into that a little later in the dissertation.

 

I could bore you with round by round data, but I think it would be better to summarize based on where the player was drafted. I separated as follows: Round 1, Rounds 2-5, Rounds 6-15, Rounds 16-25, Rounds 26-50, Rounds 51-75, and Rounds 76+:

 

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Draft 1 file 4 (via kardiakkidz)

Percentage of signed players:

3031609208_5722059595_medium

Draft 1 file 5 (via kardiakkidz)

A few notes about this set of data. Supplemental rounds were included in that round (i.e. Supplemental between 1st and 2nd count as 1st round picks, and etc.). Also, a few of these drafts had supplemental picks all the way into the fifth round.

 

As for the data itself, nothing really too shocking, the higher one is drafted, the more likely they are to sign. Also, the higher one was drafted, the more likely they are to make the majors. But look at how steep the fall is from Round 1 to Rounds 2-5, 68% to 37%. In fact, going down each band, the likelihood of making the majors drops by about 50%. If anyone is interested, I do have each round’s data, just let me know.

 

So now, for the data most have waited patiently for. The team by team data (just how did the Tribe do?):

3030770409_4964712969_medium

Draft 1 file 6 (via kardiakkidz)

Nothing too exciting here, but a few interesting notes: Houston, Dodgers and Yankees all drafted over 700 (lots of 50+ draftees), but they also were towards the bottom on percentages signed (which is to be expected). St. Louis had the highest conversion rate by almost 4%. Mean tends to hold around at 60%.

3031609274_3b9ce7be29_medium

Draft 1 file 7 (via kardiakkidz)

Top five to get to the show: Boston, Montreal, Oakland, Baltimore, and Minnesota. As for the lower levels, those numbers could be interpreted in many, many ways. But I am certain each organization has certain trends they want to follow which would explain some of the wild fluctuations between Rookie leagues and some of the A ball levels.

 

Also, for Arizona and Tampa Bay, there seemed to be a shared roster between them and no distinction was made as if that was an A or A+ squad. More than likely, that number should be split in half.

 

To be continued ….

6 recs | Comment 13 comments

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Interesting. That last chart is kind of cool. I wonder what it means, for example, that 40% of the guys Atlanta drafted never made it out of the short-season leagues?

by APV on Nov 15, 2008 10:20 AM EST reply reply actions actions   0 recs

Been thinking of doing something similar, just never had the patience or the acumen to put it together. Thanks.

by fleerdon on Nov 16, 2008 12:25 AM EST reply reply actions actions   0 recs

No probs … i’ll have at least one, if not two follow up articles in regard to this.

by talonk on Nov 16, 2008 3:20 AM EST to parent up reply reply actions actions   0 recs

My answer: Fairly.

by Jay on Nov 16, 2008 2:03 AM EST reply reply actions actions   0 recs

wish i’d have just read this first. might have saved talonk a lot of time, too.

by Brick. on Nov 17, 2008 5:31 PM EST to parent up reply reply actions actions   0 recs

It’s probably more important to be best in your division, rather than best in the league.

by Toxicadam on Nov 16, 2008 3:15 AM EST reply reply actions actions   0 recs

How did you get the data about the highest terminal level of play for each signed draftee?

by joeee on Nov 16, 2008 4:35 PM EST reply reply actions actions   0 recs

Wow I’m a smart. Sorry, I skipped your first paragraph.

by joeee on Nov 16, 2008 9:52 PM EST to parent up reply reply actions actions   0 recs

talonk,

where did you give the credit to players drafted by one organization but traded to another before reaching the majors? i assume this credit went to the drafting team, not the team that reaped the benefits, which seems like another study altogether.

by stickpiano on Nov 18, 2008 3:05 PM EST to parent up reply reply actions actions   0 recs

Yes, the credit goes to the drafting team in the tables above.

As I stated earlier, this was not done to say one organization drafts better than others. I was trying to determine what the odds were a player would make the majors based on where they were drafted and also the odds of m=how many guys drafted would make the majors.

My next dissertation will actually analyze the guys who made the majors. I expect to post this in another week or so.

by talonk on Nov 20, 2008 12:02 AM EST to parent up reply reply actions actions   0 recs

Not too surprising. KC, BAL, SEA all have high draftee – MLB conversion. Are you concluding that the draft is a random walk – just pick at random and you’ll land as many MLB as anybody else?

by joeee on Nov 17, 2008 7:34 PM EST reply reply actions actions   0 recs

This is old data, California Angles old, Joey, and each of those teams had competitive periods within the time frame.

The problem with the MLB conversion thing is that organizational needs vary—that some teams are more likely to promote or hold back their drafted prospects for a variety of reasons.

I see nothing that indicates a connection between performance and MLB conversion.

Side note: the Dodgers had the lowest conversion rate in that span, but they had a darned successful run of talent-injection. They produced 5 ROY in a row between ‘92 and ’96. Three of them were drafted: Karros, in the 6th round, Hollandsworth in the 3rd, and Piazza in the umpteenth round, so far down that you might consider him an undrafted FA. Wilton Guerrero (amateur FA) was a contender for the award in ’97, before the cork busted out of his bat and he started to suck (plus that was the same year Rolen broke in to the league). Konerko, who was their ’94 first rounder, was such an advanced hitter that he might’ve had a shot at it in ’97 as a 21 year old—-if the National League had the DH. They experimented with Paul at different positions after converting him from Catcher. They signed Pedro Martinez and Chan Ho in these years. They had uber-prospect Dreifort (2nd overall pick in ’93), who stalled because of injuries but still managed to make a lot of money. Oh, wait…

Anyway, they Dodgers team wasn’t exactly a dynamo, but they were regularly producing significant major leaguers—pitchers and hitters. They did it mostly through international signings, especially in reaching the Asian talents. The draft contributed some of those guys, too.

As far as the Random walk thing goes, well, I don’t know. My guess: kinda random. One could hire an LGT’r on draft day and probably hit upon a couple MLers.

Helium Watch: Chuck Lofgren, OF

by jhon on Nov 18, 2008 7:25 PM EST to parent up reply reply actions actions   0 recs

how do you game the system then?

what seems more interesting is crunching the data on what skill sets lead to the draft to majors conversion.

for hitters does a high walk rate, contact rate, line drive rate, low strikeout rate, etc lead to the majors? hs players or college?

what stats for pitchers are important to consider when drafting?

no doubt each mlb organization has a philosophy on what to target in the draft to maximize the output of each draft, but i’m just curious to see what the numbers suggest as the most correlative factors.

you could even break it down by round. for example, college hitters in 1-5, hs pitchers in 5-10, or what have you. those are just random assertions, not backed up or supported. nor do i even think they are true. just an example of how data could show what typology of player has the highest likelihood of success in each draft round.

the draft could possibly follow a script based on statistical probability of the pick making the majors. over time, this philosophy would probably yield results and is probably what some of the best drafting franchises do.

by stickpiano on Nov 18, 2008 3:04 PM EST reply reply actions actions   0 recs

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