anonimis

Going to one class would alleviate that issue.  Oh well!  2026 perhaps, lol.

While the seeding may be fairly accurate, a more concerning issue is the non-competitive nature of many games.  The median margin of victory for the 104 games was 27 points, so 50% of games were decided by 4 scores or more.  33% of games were in running clock territory (35+ margin of victory).  One of the purported benefits of the Metro-Suburban split was supposed to be more competitive playoff games (i.e. "competitive equity").  These results are not exactly a ringing endorsement of that logic.  Perhaps the games will become more competitive in the later rounds.  Perhaps there are too many mediocre teams in the playoffs to begin with....

This game is gonna be insane most def a late round playoff atmosphere 

I got Dillard only because Ely put yall out of the playoffs last year. It's a revenge game. 

8 man 

My guess on the update timing would be to wait for those Monday games to finish and any other issues that might take some time to clean up like getting the scores correct.

Now that the FHSAA is officially run by the state, shouldn't some enterprising journalist be able to file a freedom of information request on the fhsaa for the formula?

@nolebull813
Should Dillard be relegated to the SSAA or should they play JV only?

@nolebull813
Should Dillard be relegated to the SSAA or should they play JV only?

I support the SSAA for getting more teams playing more games against teams of similar ability.  I hope the exodus from the FHSAA encourages some thought to the school and student-athlete experience.

I support the SSAA for getting more teams playing more games against teams of similar ability.  I hope the exodus from the FHSAA encourages some thought to the school and student-athlete experience.

I support the SSAA for getting more teams playing more games against teams of similar ability.  I hope the exodus from the FHSAA encourages some thought to the school and student-athlete experience.

My guess on the update timing would be to wait for those Monday games to finish and any other issues that might take some time to clean up like getting the scores correct.

These championships are like an Ab absurdum argument for getting rid of the FHSAA class state championships.

If I were to guess, this is either a quantization artifact from FHSAA secret formula or a possible bias that you've discovered in the formula.  Bias is the scourge of all statistics.  

That's an interesting question. Normally scatter plots don't cluster that way. Normally, you would have random dots ascending from let to right, but not almost straight lines. As presented, there seems to be various linear relationships between the strength of schedule and your rating that increase your rating disproportionally when you win more games. I assume that the yellow dot in the top right hand quadrant represents undefeated Chaminade which has had a tough schedule and has won all its games. Contrast that with Cocoa green dot near top right, which has an equally tough schedule according to their criteria, but has a "loss" to St. Thomas. 
Had margin of victory been included in their calculations, then we would not have those "straight lines" in the data scatter plot. 

I would conclude that there isn't a significant difference between classes, school population, or rural/suburban /metro split.  Splitting teams by the current classes isn't making the class more competitive, since there is more variance within classes than between classes.

Now that's the million dollar question; for the measures of mean, median and variance are meaningless if the relative strength of the teams is not calculated correctly. 
If we are going to continue using the current methodology, which, to me seems flawed, at a minimum, the way in which it is calculated should be disclosed. That's the only way teams on the bubble can double check to see if their elimination/inclusion was even computed accurately regardless of any inherent flaws that the method may have. 

Thank you for your work and explaining your methodology.  Confirms what seemed intuitive initially within the parameters available. 
The next question would be whether the FHSAA Power Rankings as currently constructed are an accurate measure of the relative strength of teams, but I'll leave that for another day. 
 

I took the rankings and enrollments from the FHSAA website and merged the two based on school.  I dropped any schools that I couldn't easily merge, ex: schools with duplicate names like Atlantic or spelling variation like Senior vs Sr.  With the remaining schools there is essentially no correlation between team rating and school population.

I would conclude that there isn't a significant difference between classes, school population, or rural/suburban /metro split.  Splitting teams by the current classes isn't making the class more competitive, since there is more variance within classes than between classes.

In the box plots, the line inside the boxes are the medians.  The red dotted line is the overall mean.  There are a handful of schools at the bottom as well.
The overall skewness of 'rating': 0.04703871518510849.
My biggest question right now is why the scatterplot has rows?
CLASS

 
SIZE

 
DIVISION

 

I scraped the data from the FHSAA site.  Results are below.  Size refers to the population.
 
      Class  Mean Rating        SD
0    1M     2.549517     9.117624
1    1R       0.002303    8.189586
2    1S     -0.121667     6.661996
3    2M    -0.103683   8.155865
4    2S      0.831387    8.520173
5    3M     1.365750    8.045310
6    3S      1.160899    7.985614
7    4M     0.473030   8.157010
8    4S      2.798478   7.440289

I scraped the data from the FHSAA site.  Results are below.  Size refers to the population.
 
      Class  Mean Rating        SD
0    1M     2.549517     9.117624
1    1R       0.002303    8.189586
2    1S     -0.121667     6.661996
3    2M    -0.103683   8.155865
4    2S      0.831387    8.520173
5    3M     1.365750    8.045310
6    3S      1.160899    7.985614
7    4M     0.473030   8.157010
8    4S      2.798478   7.440289

There was private school representation. I just didn't have everyone's name down. Was going on memory of who's names I could remember from being in the meeting and who I knew. A few people I did not know.