For anyone who has read this blog before you know that I like tracking something I'm calling the Player Productivity Score (PPS). Remember, PPS is figured using a formula takes into account only statistics that appear in a final box score. The final score should tell you how many positive things a player does per minute of game time that they play.
I thought I'd take a look at the upcoming opponent and compare their scores with Valpo's scores. Danny will have the regular game preview for you shortly. For this study I'm looking only at players who have averaged more then 8 minutes per game on the season and have played in all (or in KVW's case just about all) of their team's games. The order the players are listed in is the order in which they appear on their school's statistics website.
Bowling Green Valparaiso
S. Thomas 0.62389 R. Broekhoff 0.80690
A. Calhoun 0.42935 K. VanWijk 0.84729
D. Brown 0.42640 R. Edwards 0.72034
J. Crawford 0.32955 J. Harris 0.57674
C. Sealy 0.43478 M. Kenney 0.47843
L. Kraus 0.20988 W. Bogan 0.38174
C. Black 0.30968 E. Buggs 0.27315
T. Oglesby 0.40678 T. Kurth 0.08197
From looking at each teams' schedule I'd say Valpo has played the tougher opponents so far. Valpo has also played one more game (which could make the scores fluctuate a little bit in either direction this early in the year). Out of the 16 players listed Valpo guys fill up 5 of the top 6 spots. Judging from the PPS scores Valpo should win this game.
Did you do this analysis in the IPFW pregame? If you did I am sure it would have said that we easily win that game. I hope that doesn't play out the same way on Saturday.
ReplyDeleteI did not run the IPFW scores before the game. I imagine Valpo would have graded out higher. But, I'm from the belief that on any day any team can beat any other team. I'm hoping that by doing this enough I'll be able to see if it is a good predictor of a games outcome or (and I believe this to be the case) is it more an individual statistic.
ReplyDelete