Analyzing Per 30 Minute Averages

Per 30 Minute Averages by Steve Smiley

This article was originally featured on CoachSmiley.Blogspot.com.

Coaches – Here is a great idea to better use your box scores and stats to evaluate your own personnel. It’s a very basic concept that gives you great information as you try to figure out who your most productive players are.

I don’t have a fancy name for this, but it’s basically the “per30average” for our program. We take the data from our Season Box Score (we’re 15 games in now) and look at how productive each player would be, if they were playing 30 minutes per game (which I think is a good standard in college; in high school, I would maybe recommend per 25). It’s good to look at, regardless of if the players are playing over or under 30 minutes per game.

Our team is very deep this year, and our staff is constantly discussing if we’re playing the right guys, if we’re playing them the right amount of time, etc. This data helps to drive those decisions.

***As you look at the data, please note that this doesn’t account for FG%’s, etc, which is crucially important. For instance, we might find a player that isn’t playing a lot that is extremely productive per 30 minutes, but if that player is really bad from a % standpoint, we always would factor that in as well… To look at %’s and Efficiency, we look at some different formulas, which I will post at a later date.

Here is a link to our season box score:http://stats.njcaa.org/sports/mbkb/2013-14/div1/teams/sheridancollege?sort=ptspg&tmpl=teaminfo-network-monospace-template

Here is our conversion, which basically is just taking your per game averages in certain categories, dropping them down to per minute averages (based off of each kid’s MPG), and then multiplying by 30 for the per30 averages.. As you can see, we break it down by position as well to compare players in the respective spots. Very powerful if you’re trying to use data to drive your decision-making!

per 30 min
pp30 rp30 ap30 top30
1 7.74 2.07 3.41 1.66
2 14.14 5.86 1.84 1.61
3 17.71 4.94 2.89 2.17
4 17.40 3.75 1.90 1.90
5 9.49 3.80 2.53 2.28
6 10.75 9.25 0.63 2.77
7 12.92 5.42 0.28 2.22
8 11.50 10.17 1.00 1.56
9 13.70 6.76 2.54 3.47
10 14.63 9.59 0.66 1.97
11 13.49 4.13 5.78 5.41
12 10.19 11.60 0.38 3.58
13 12.19 4.22 0.94 0.63
14 6.27 4.48 0.30 0.90
PGS pp30 rp30 ap30 top30
1 7.74 2.07 3.41 1.66
2 13.49 4.13 5.78 5.41
3 9.49 3.80 2.53 2.28
4 17.71 4.94 2.89 2.17
WINGS pp30 rp30 ap30 top30
1 14.14 5.86 1.84 1.61
2 17.71 4.94 2.89 2.17
3 17.40 3.75 1.90 1.90
4 13.70 6.76 2.54 3.47
5 14.63 9.59 0.66 1.97
4s pp30 rp30 ap30 top30
1 11.50 10.17 1.00 1.56
2 14.63 9.59 0.66 1.97
3 17.71 4.94 2.89 2.17
5s pp30 rp30 ap30 top30
1 10.75 9.25 0.63 2.77
2 12.92 5.42 0.28 2.22
3 10.19 11.60 0.38 3.58

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