I know this isn't an APBRmetrics board but I figured some of you might find this interesting. I'm a big believer in the value of in-depth statistical analysis and high level metrics in basketball and have done some work in this area.
One particular formula I've been working on is a ratio between how often a player ends a possession successfully compared to how often they end it with a failure. The basic idea is to take a basketball game which is an inherently continuous event and break it into discrete events (possessions) and analyze the outcomes of the possessions. Because we are limited in what stats are actually recorded it's more than just pulling numbers from a box score there is some upper level math and probability theory involved as well.
At this point in the season I thought it would be interesting to see how Kent's players/team score compared to last year and compared to our MAC East opponents. Think of these numbers as an assist to turnover ratio for a player’s entire offensive game.
Code:
(2011-2012) | (2010-2011)
Mark Henniger 1.042 0.856
Carlton Guyton 0.996 0.982
Michael Porrini 0.969 0.947
Randal Holt 0.881 0.817
Kris Brewer 0.841 na.
Justin Manns 0.805 1.026
Chris Evans 0.801 na.
Eric Gaines 0.728 0.682
Justin Greene 0.712 0.823
Dev Manley 0.647 na.
Patrick Jackson 0.459 na.
Robert Johnson 0.459 0.460
Brian Frank 0.083 0.4
KSU: 0.819 0.864
Opponent: 0.690 0.788
The things that stand out to me are the consistency of Guyton and Porrini, the significant dip Greene and Manns have both shown from last year to now, and how impressively high Brewer scored for a freshman.
Here's how the other MAC East teams scored so far this year:
Code:
Buff: 0.943
Opponents: 0.745
Akron: 0.853
Opponents: 0.695
OU: 0.874
Opponents: 0.692
Miami: 0.756
Opponents: 0.900
BG: 0.884
Opponents: 0.840
KSU: 0.819
Opponent: 0.690
Some notable player’s numbers:
Code:
Javon McCrea: 1.129
Mitchell Watt: 1.107
Zeke Marchall: 1.059
Alex Abreu: 1.246
Brian Walsh: 1.027
DJ Cooper: 1.044
Nick Kellogg: 0.964
Julian Mavunga: 0.822
Brian Sullivan: 0.949
Scott Thomas: 0.933
JordonCrawford: 0.947
Torian Oglesby: 1.794
Obviously Oglesby is built for this kind of stat (if you haven't heard about his NCAA record Google it, it's impressive). Like any metric this stat has its limitations. The main one is this is an offensive only stat and defensive specialists (Eric Gaines) will be undervalued. Conclusions can be drawn about a team’s defense by looking at the opponents score. Also, this is not meant to be read as who is a better player but more who is an efficient player. For example, thus far Henniger has been more efficient than Greene but if Henn was relied on for the volume Greene is his score would likely be lower.
Anyways, thought this might interest some of you. Questions/comments are welcome.