Those Different Leagues

Dateline: 07/12/97

I am fortunate to receive a lot of messages from people throughout the world who are involved in basketball at different levels. Occasionally, I get some very interesting information. I will pass on some of that this week.


Little Women

A coach in Texas sent me the statistics for his high school girls team. No one ever knows where the next Sheryl Swoopes will come from; given the lack of experience most people have in watching girls' basketball, she very well could come from this team.



Scoring Poss. Floor Rating Points


Poss. Pct. Prod.
Martin 140 318 0.440 81.4 259
Thompson 88 231 0.380 71.4 165
Ricker 81 223 0.363 68.5 153
Darter 14 37 0.365 72.2 27
Cooley 48 130 0.369 70.7 92
Hawkins 37 110 0.336 60.1 66
Seewalk 13 56 0.239 43.5 24
Weidenfeller 34 116 0.294 68.2 79
Williams 47 152 0.308 73.6 112
Pena 31 122 0.257 48.3 59
Cannon 42 176 0.237 42.5 75
Lewis 6 33 0.191 31.8 11
Pickar 3 31 0.100 20.5 6
584 1735 0.336 65.0 1128


Defensive Stops Def.

Total /Min /Poss Rtg.
Martin 164 0.288 0.696 58.7
Thompson 163 0.281 0.679 59.4
Ricker 232 0.335 0.810 54.2
Darter 25 0.316 0.763 56.1
Cooley 79 0.268 0.647 60.7
Hawkins 81 0.292 0.706 58.3
Seewalk 38 0.237 0.573 63.7
Weidenfeller 71 0.220 0.532 65.3
Williams 118 0.227 0.549 64.6
Pena 82 0.268 0.649 60.6
Cannon 119 0.282 0.680 59.4
Lewis 13 0.209 0.505 66.4
Pickar 13 0.229 0.553 64.5
1198 0.667 58.2
Printed with permission. Base statistics can be found here.

So what can we tell about this team, having not seen them at all?

Click for Team Ratings

Clearly, Martin is the most advanced of the players, perhaps not a star in the league, but the best player on the team. Maybe she's a senior, but seniors usually lead their teams in minutes played and she did not. Maybe she is a freshman on her way to much better things.

The team played a lot of people, as many high school teams do in order to give an opportunity to most of the kids. The team's taller players are either not very good or the team just doesn't have many taller players because they didn't block many shots. They got rebounds, which is often associated as much with athleticism as height at this age.

One of the distinguishing characteristics of lower levels of basketball is that the offense tends not to be as good. Here, the girls are scoring on about 35% of their possessions. The WNBA scores on about 43% of their possessions, from early indications. There are definitely some high school girls teams that score at or above 43% of the time, but that doesn't mean that they are WNBA quality, of course.

The team played better offense when the pace was faster. It also played worse defense when the pace was faster. The team was probably involved in a lot of blowouts even though it had a record near 0.500.

Finally, in a shameless bit of self-promotion, I will mention that the 1997 PRO version of Assistant Basketball Coach software, which is used to take statistics at games, will produce reports containing several of my statistical methods for evaluating players and teams.


Who Runs The Most?

Jose Marinho Marques Dias Neto of Brazil passed along an abstract of some work he did to determine which basketball position (guard, forward, center) did the most running in a game. What he found was that forwards covered the most ground. Strangely, the forwards tended to go backward the most, too:

Distance Traveled (meters/minute)
Position
Walking Jogging Sprinting Going
Backwards
Total
Forwards 28.6 35.4 34.8 4.9 103.6
Guards 28.5 35.1 28.6 3.6 95.9
Centers 23.5 30.9 28.9 1.5 84.9

Toronto coach Darrell Walker is probably thinking that he should move overweight center Oliver Miller to forward.


Comparing the Brazil League to the NBA

Neto also did a comparison of some statistics in the Brazil National League to the NBA. In this comparison, he found that defense is more important in the NBA than in his native league. In a related finding, he concluded that the center is the most important position in the NBA, whereas the forward is the most important position in the Brazilian League.


The Most Important Statistics

One of the most common questions I get is "What is the most important statistic?" I actually received a study on this from M. Janeira, Ph.D., and J. Sampaio of Portugal, using numbers put up in the Portuguese Professional League. Since, as noted above, there is some difference between the NBA and the Brazilian League, I thought it would be interesting to compare the results of Janeira and Sampaio to those STATS obtained when they did a similar study for their 1994-95 Basketball Scoreboard:

STATS Results for NBA
1 Field Goal Percentage
2 Field Goals Made
3 Defensive Rebounds
4 Assists
5 Disqualifications
6 Total Rebounds
7 Ejections
8 Fewer Fouls
9 Free Throws Made
10 Free Throws Attempted
11 Blocks
12 Three Point Percentage
13 Flagrant Fouls
14 Steals
15 Three Pointers Attempted
16 Fewer Turnovers
17 Free Throw Percentage
18 Field Goals Attempted
19 Technical Fouls
20 Three Pointers Made
21 Offensive Rebounds
Results for Portuguese League
1 Defensive Rebounds
2 Two-Point Field Goal Percentage
3 Assists
4 Three-Point Field Goal Percentage
5 Fouls Suffered
6 Fouls Committed
7 Second Shots
8 Blocks
9 Steals
10 Offensive Rebounds
11 Free Throw Percentage
12 Disarmed Shots
13 Turnovers
Stats in red indicate fewer is better.

Even though the two studies did not look at the same statistics, there is remarkable similarity between the two lists. Both essentially say that shooting and defensive rebounds are important (which are related statistics) and that offensive rebounds and turnovers are not important.


Argentinian Statistics

Finishing up with the international contributions, I was notified that one can get statistics from the Argentinian National League by emailing either adc@ssdnet.com.ar or show-sports@si.cordoba.com.ar.


Acknowledgments

I want to thank Jose Marinho Marques Dias Neto, M. Janeira, Ph.D., J. Sampaio, and the coach from Texas for their contributions. I should also apologize to J. Sampaio and M. Janeira for taking as long as I did to print the information they passed along.