Home
Forums
New Posts
Illini Basketball
Illini Football
Sports Talk
Log in
Register
What's new
Menu
Log in
Register
Install the app
Install
Forums
Sports
Illini Basketball
Recruiting Talent vs. Conference Standings
JavaScript is disabled. For a better experience, please enable JavaScript in your browser before proceeding.
You are using an out of date browser. It may not display this or other websites correctly.
You should upgrade or use an
alternative browser
.
Reply to thread
Message
<blockquote data-quote="CAIllini" data-source="post: 1409960" data-attributes="member: 6617"><p>Interesting stuff...I'd love to see a graph of the standings vs. talent gap for all teams over that time period. We seem to be averaging almost 5 places different based on this data which is crazy high.</p><p></p><p>Another thing that might be easy"ish" to do without researching teams in depth assuming year in school data is available in your dataset would be to augment each player's composite rankings with a scaling factor for year in school. Maybe modifier like F=0.8, So=1, Jr=1.1, Sr=1.2 or something like that....(make them variables in your model). Then we could play around with accounting for team experience in the data.</p><p></p><p>If you wanted to take it even further and if position (1-5) was listed in your database, you could try to analyze roster balance and or see which teams do a good/better job of recruiting big vs. guards vs. wings....</p><p></p><p>Great work!</p><p></p><p>At least it's something to talk about while our teams suck <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite3" alt=":(" title="Frown :(" loading="lazy" data-shortname=":(" /></p></blockquote><p></p>
[QUOTE="CAIllini, post: 1409960, member: 6617"] Interesting stuff...I'd love to see a graph of the standings vs. talent gap for all teams over that time period. We seem to be averaging almost 5 places different based on this data which is crazy high. Another thing that might be easy"ish" to do without researching teams in depth assuming year in school data is available in your dataset would be to augment each player's composite rankings with a scaling factor for year in school. Maybe modifier like F=0.8, So=1, Jr=1.1, Sr=1.2 or something like that....(make them variables in your model). Then we could play around with accounting for team experience in the data. If you wanted to take it even further and if position (1-5) was listed in your database, you could try to analyze roster balance and or see which teams do a good/better job of recruiting big vs. guards vs. wings.... Great work! At least it's something to talk about while our teams suck :( [/QUOTE]
Verification
Post reply
Forums
Sports
Illini Basketball
Recruiting Talent vs. Conference Standings
This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.
Accept
Learn more…