Louville blowout data is in the per40 workbook

[JRRRJ]

Download it here.

Comments and grid tomorrow -- had a long day and just finished watching the game.

 

[Dugway]

@JRRRJ,

From another thread, you discuss the potential to add an ‘Efficiency’ column. For those who hadn’t saw it, a general definition of ‘Efficiency’ is all of the good statistics, minus all of the bad statistics.

So, good statistics are thing like the number of points a player had scored, plus the number of rebounds they had, plus the number of steals they had. From those positive statistics, you then subtract away the bad or negative statistics. Things such as the number of shots that the player missed, and the number of times they dribble the ball off their foot, or traveled. This ‘Efficiency Rating’ is not adjusted in any way to consider the playing times.

Comments:

• I like it, it adds an easily understood statistic that is basically a combination of all of the other statistics. It’s one simple ‘combination of everything’ data point for users to quickly compare.
• A statistic that I hadn’t previously saw you include, which you may wish to, is fouls committed. If one player is prone to foul, verses another who doesn’t foul often, I am of the opinion that this should be considered into the overall ‘efficiency’ of the two.
• Another member also mentioned the potential of having a net efficiency that is adjusted per 40-min. In essence, have yet another column where it adjusts the math per minute played. Argument that the true ‘Efficiency Rating’ would be better served by doing this. Arguments against?
• Finally, statistical analysis tends to be a representation of the Offensive portion of the game. This is mostly because the Offense data is what we easily find published. Box Scores just do not often tell us how many forced turnovers Nika Muhl may have created. Very easily we can find how many times Nika turned the ball over herself, but hard to find a site that provides information about the number she created. In essence, playing good defense is half of the dang game, and yet ‘Defensive Statistics’ are hard to find; therefore, difficult for you to incorporate into a spreadsheet if you wanted to. Forced fouls might be another that we just don’t see. Geno was discussing that Paige has learned to play into contact, she looks for it, she draws fouls. Drawing fouls is a positive that is statistically unrepresented. Any idea where analytical data for more defensive statistics may be found?

Anyway, I like it, and please keep up the good work!