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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. Analytics of the Prospect Draft in Major League Baseball
  5. Full metadata

Analytics of the Prospect Draft in Major League Baseball

Full metadata

Description

Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.

Date Created
2017-05
Contributors
  • Valentine, Robert (Co-author)
  • Johnson, Ben (Co-author)
  • Eaton, John (Thesis director)
  • Goegan, Brian (Committee member)
  • Department of Finance (Contributor)
  • Department of Economics (Contributor)
  • Department of Information Systems (Contributor)
  • School of Accountancy (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • MLB
  • Baseball
  • Draft Statistics
  • Analytics
  • Statistics
Resource Type
Text
Extent
37 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2016-2017
Handle
https://hdl.handle.net/2286/R.I.43488
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2017-10-30 02:50:58
System Modified
  • 2021-08-11 04:09:57
  •     
  • 1 year 5 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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