Live look at how CRAP data is processed. |
Projecting performance with high resolution data can be troublesome. Replace that with the low resolution collegiate data, the process becomes more problematic. Combine that with twenty year old players whose distance between their current package and their final one can be rather vast, you have a difficult task in front of you. This led me to experiment with minimal expectations to try to see if we can glean anything of use from a projection model for collegiate players. The resulting model is named Collegiate Regression Analysis Projection (CRAP).
CRAP is a rather limited model with great uncertainty. I used player, park, and team data from collegiate seasons 2012-2014 and paired it with professional data from 2013-2015. Professional data was further translated so that everything was measured to the league average of the Carolina League (High A ball). That is all this model knows. It knows players who were drafted, signed, and played in a professional league the year after their career ended. It does not know what happens beyond the following season. All it knows is the current year and the next, trying to connect all of those performance data points for each individual player.
Some limitations include never considering players who were unable to play professionally for whatever reason. There is also some limitation on conference data. This system leans heavily on the ACC, Pac10, SEC, and the Big 12 or whatever they call themselves this minute. I also have no knowledge of any player's defensive ability. The model assumes they perform as an average defender at those positions. Finally, there is no consideration of how a player performs with a wood bat. I did a secondary adjustment for performance at the Cape and for Team USA. That adjustment is a bit weak as we are getting pretty far down the rabbit hole from the original data.
Anyway, here is the collegiate position player board, which considered players in Baseball America's top 100 from a few weeks back (it has changed a bit). If you want a player not mentioned here, let me know and I will try to post an addendum.
CRAP 2016 Draft Board (College Position Players)
Avg/OBP/Slg are 2017 HiA Projections
20-80 scale is unadjusted for wood
20-80+ is adjusted for wood
PLAYER | POS | AVG | OBP | SLG | 20-80 | 20-80+ |
Kyle Lewis | OF | .290 | .424 | .473 | 61 | 69 |
Will Craig | 3B | .291 | .413 | .483 | 63 | 59 |
Zack Collins | C | .294 | .446 | .467 | 69 | 59 |
Heath Quinn | OF | .278 | .376 | .459 | 51 | 58 |
Sean Murphy | C | .273 | .378 | .414 | 51 | 54 |
Matt Thaiss | C | .295 | .392 | .428 | 54 | 54 |
Nick Senzel | 3B | .281 | .374 | .421 | 47 | 53 |
Corey Ray | OF | .276 | .360 | .425 | 46 | 51 |
Chris Okey | C | .270 | .368 | .419 | 51 | 48 |
Bryan Reynolds | OF | .268 | .369 | .429 | 48 | 45 |
Anfernee Grier | OF | .265 | .349 | .403 | 41 | 39 |
Nick Banks | OF | .255 | .324 | .391 | 35 | 35 |
Jake Fraley | OF | .261 | .349 | .367 | 34 | 33 |
Ryan Boldt | OF | .249 | .310 | .362 | 29 | 31 |
Stephen Wrenn | OF | .246 | .314 | .361 | 29 | 31 |
Bryson Brigman | SS | .257 | .323 | .343 | 30 | 30 |
Buddy Reed | OF | .233 | .318 | .354 | 31 | 30 |
Bobby Dalbec | 3B | .214 | .292 | .346 | 28 | 29 |
Errol Robinson | SS | .245 | .309 | .339 | 28 | 28 |
Below are the rankings for CRAP and BA's current rankings of college level position players. I did not include some of the other players who have moved into the top 100 since I scraped the list a few weeks ago.
CRAP
Ranking
|
BA
| |
Kyle Lewis
|
1
|
1
|
Will Craig
|
2
|
8
|
Zack Collins
|
3
|
4
|
Heath Quinn
|
4
|
9
|
Sean Murphy
|
5
|
12
|
Matt Thaiss
|
6
|
5
|
Nick Senzel
|
7
|
2
|
Corey Ray
|
8
|
3
|
Chris Okey
|
9
|
11
|
Bryan Reynolds
|
10
|
6
|
Anfernee Grier
|
11
|
10
|
Nick Banks
|
12
|
16
|
Jake Fraley
|
13
|
13
|
Ryan Boldt
|
14
|
14
|
Stephen Wrenn
|
15
|
19
|
Bryson Brigman
|
16
|
15
|
Buddy Reed
|
17
|
7
|
Bobby Dalbec
|
18
|
17
|
Errol Robinson
|
19
|
18
|
As it stands, the Orioles are largely connected with Buddy Reed who stands high on the Baseball America rankings, but who is highly suspect on the CRAP rankings.
2 comments:
CRAP seems to have done a bit better than BA at predicting order of draft. Nice work. Wish you had a model for pitchers......
Thanks.
I might have a pitcher model together by the end of the summer.
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