View Single Post
  #127   Spotlight this post!  
Unread 06-04-2008, 21:59
XaulZan11's Avatar
XaulZan11 XaulZan11 is offline
Registered User
AKA: John Christiansen
FRC #1732
Team Role: Mentor
 
Join Date: Nov 2006
Rookie Year: 2006
Location: Milwaukee, Wi
Posts: 1,329
XaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond reputeXaulZan11 has a reputation beyond repute
Send a message via AIM to XaulZan11
Re: Offensive Power Rankings for 2008

Like 171/2194, 1732 recorded the amount of points a team scored per match at Wisconsin. We kept track of lines and balls knocked down in hybrid, laps, hurdlers, herds and balls placed at the end.

I ran a correlation test to see how related the two sets of data are and see how good the OPR is at predicting how many points a team scores per match. There are some assumptions/problems. First, our scouting data isn't perfect so there is some error from that. Secondly, our scouting data doesn't include penalties, but the ORP does account for them. So, when doing a linear regression, I got an R value of .7841 and an R-squared value of .6149. (A perfect relationship would have an R value of -1 or 1 and no relationship would be 0). So, while it is not pefect (not surprising) the ORP is a fairly good predictor of a team's preformance.
Reply With Quote