Bumped. Great stuff. --GoBr--
First of all, I would like to express my disappointment that no site I can find is recording player +/- statistics in college basketball. Please let me know if you do find one so I can save myself the time.
Until then, assuming I do have time, I plan on posting the +/- stats of our players after every game, using the official play-by-play data on texassports.com.
What's my motivation to do this? Well quite frankly, this is easily the most intriguing season of UT basketball that I can think of since I've been following the team. This team is absolutely LOADED. How can you not envy Rick Barnes? Then again, coming up with the best 5-man rotations with this team can be a challenge. I hope these +/- stats can help us come up with our own analysis regarding this deep team, such as which rotations are the best, which players had the greatest impact on the game, and which players' impact goes beyond the typical box score.
If you follow the NBA, you should check out the Gameflows created on popcornmachine.net. Here's the gameflow from the recent Rockets vs Lakers game for example. It doesn't just list the +/- for each player. It goes through the entire game, listing all the rotations and the performance of each. It illustrates critical aspects of the game such as huge runs. I followed this concept and created a "gameflow" of my own on a spreadsheet.
I plan on posting this spreadsheet after every game, so please don't hesitate to suggest improvements on the look of it. I tried to make it look pretty. Anyways, without further ado, here is the "gameflow" for the Texas vs UC Irvine game.
My attempted analysis after the jump...
Before I discuss the results, the number in parentheses next to the name is how many minutes the player accumulated. Positive +/- in green, negative in red. I've also highlighted in green/red any rotation that gained/lost 5 or more points. Everything else should be self-explanatory, but just ask if you're lost. Here are the best performances as far as +/- goes (lets keep in mind that this stat isn't some ultimate stat to show Player X > Player Y, there's so many other variables involved). Lets not make too many conclusions as this was the first game vs UC Irvine.
A few things stand out to me:
Anything else you BONers notice? Comments? Like I said earlier, I do plan on making these gameflows after every game. Can't really make a whole lot out of these blowouts, as the 2nd half was complete garbage time. I'm definitely looking forward to making these for the huge non-conference showdowns and big conference games.
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