Nerdly Nebraska.

2020-2021 HuskerGeek Ratings Leaders

Sport School Rating

Football byu 9.7663
Men's Soccer trine 7.6100
Women's Soccer florida st 11.6114
Women's Volleyball duke 8.1110
Field Hockey north carolina 8.0146

ViPR NCAA Volleyball Ratings

Division 1

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Division 1 Standouts

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Division 2

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Division 2 Standouts

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Division 3

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Division 3 Standouts

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BPR NCAA Women's Basketball Ratings

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Division 2

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Division 3

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Advanced Rate Statistics for NCAA Women’s Volleyball

Or Why Per Set Statistics are Bullsh*t

Pop quiz.

Question 1: How many points is a set in NCAA Division 1 Volleyball?

If you said twenty-five, you are wrong. If you said twenty-five except in a fifth set when it is only fifteen, you are wrong.  If you said it depends, then congratulations you have won the game.

Question 2: Name each team that corresponds to the primary or secondary color referenced in the following table.

Hint: These figures are the average points per set for each Big Ten team last season.

Team Points Per Set
Red 41.12
Blue 42.49
Red 42.50
Red 42.87
Red 42.94
Orange 43.06
Purple 43.19
Yellow 43.23
Red 43.43
Red 43.51
Yellow 43.88
Green 43.96
Red 43.97
Blue 44.29

Answers are at the bottom.

This presents a significant issue when it comes to doing rate statistics.   A four kill per set player at 41.12 points per set would average more than 4.3 kps if they had the same kill rate and played for the last team in the table averaging 44.29 points per set.  A quick look at the current KPS table on NCAA Stats says that’s the difference between being 57th and 34th.  A significant difference.  Additionally, because the gap will widen linearly as the initial numbers grow, the result is that the players at the very top of the chart can be misrepresented to the highest degree.  That’s simply unacceptable when trying to use a statistic to formulate any significant statistical argument.

And that’s not even the worst example I could come up with.

Per Set statistics are meaningless without additional context.  The context that a person would need to supply to make those statistics worthwhile is tedious and time consuming to track and calculate.   This results in volleyball fans and the media continually relying on and relaying statistics that in reality mean very little.

It needs to change, and that’s the purpose of this article and a couple of pages that I’ve now added to the site.  While per set statistics are exceptionally flawed, points are not.  In fact, points applied in the right way can be exceptionally accurate when calculating a rate statistic.

Here are the top ten players on the current(9/15/2018) stats.ncaa.org KPS leaders table.

NCAA Volleyball D1 KPS Leaders 9-15-2018

Here is the same list, but instead of per set, the rates are per point in each team’s games.

Kills Per 100 Points

Rk. Name Team KPP
1 13.8140
2 12.8452
3 11.5678
4 11.4781
5 10.9756
6 10.9277
7 10.8782
8 10.8467
9 10.7735
10 10.6240

There are differences and there can be extreme differences. In fact, with many of the common statistics volleyball fans and the media use, using points is inherently flawed.  When measuring kill rates for players, total points in a match has an inherent flaw.  Specifically, during any match there will inevitably be points wher a player who plays for all rotations will still have no chance to get a kill, namely aces and service errors.

AN: There are caveats beyond this as well. Not every player plays six rotations and there are points beyond aces and service errors during which a player would also by definition not have a chance to get a kill. Rotational errors are the specific issue in this case because I did not have the foresight to track them efficiently in my database and will need to do some significant redesign before I can efficiently account for those points.

Beyond using total points for a rate, simple subtraction can be used measure the rate at which a player gets a kill for every point in play.

This is the table for the statistic named Kills per Point-In-Play.  Original name, I know.

Kills Per 100 Points In Play

Rk. Name Team KPIP
1 16.6556
2 14.8148
3 13.5862
4 13.3621
5 13.2583
6 13.1679
7 12.9555
8 12.6316
9 12.6050
10 12.5421

It’s not even the same list as the original per point list.  While this approach is not currently perfect, it’s still much better than using per set because the denominator of the statistic being calculated means the same thing across all players.  The context per point statistics provide is important because without it volleyball statistics are very nearly meaningless.  An instance of “Don’t let the perfect be the enemy of the good.” if you will.  Making even incremental progress toward better understanding and knowledge is important.

Measuring virtually every statistic by points played improves it drastically, but Aces and Service Errors per set make the least sense as a statistic.  It is entirely possible to play a set in which a primary server will not serve during the set.  In fact, in fifth sets, it actually isn”t all that rare.  Luckily, NCAA Play-By-Play pages happen to track exactly who serves each point, a fortunate thing in this instance because those pages can be used to get per serve rates for aces, service errors, and service points.

AN: This(A primary server not getting the opportunity to serve.) actually happened to Lauren Stivrins in Set 3 of the Nebraska vs Missouri State less than three hours after I saved my latest draft of this article. Yeah, that happened.

These statistics and more have been made available on each team page as well as Division and Conference leaders.  The leaders are available using the “View Complete Advanced Statistics Leaders” link on each division or conference page.

And that friends, is why per set statistics are bullsh*t.

Answer Key

Top to Bottom: Rutgers, Penn State, Nebraska, Wisconsin, Indiana, Illinois, Northwestern, Iowa, Maryland, Minnesota, Purdue, Michigan State, Ohio State, Michigan

The Best This Year

These are the current all sport rankings for the school year of 2020-2021.
Rk. Team Sport Record MOV DOM ELO EFF SYN PTS ALL
1st florida st Women's Soccer 3-0-0 11.6153 11.6892 10.4372 -0.3028 11.6114 -5.5435 4.4501
2nd north carolina Women's Soccer 4-0-0 9.2471 10.8536 10.6483 -0.2527 10.7661 -4.6531 3.7355
3rd byu Football 3-0-0 10.0616 9.3065 9.2398 10.0683 9.7663 8.0546 9.2956
4th lawrence tech Men's Soccer 1-0-0 12.1755 9.7065 7.4728 12.1760 9.7001 9.2698 10.5356
5th georgia Football 2-0-0 8.3902 9.8707 10.7020 8.3951 9.4349 7.6189 6.8353
6th clarke Women's Soccer 1-0-0 12.2472 8.9600 6.8074 -10.6674 8.9590 -10.2723 -7.2062
7th air force Football 1-0-0 7.7327 7.8007 10.4219 7.7407 8.5027 5.9426 7.3941
8th oklahoma st Football 3-0-0 8.1314 8.4719 8.7841 8.1205 8.4621 3.9850 10.0597
9th georgia Women's Soccer 1-0-1 3.8778 8.2090 9.9810 5.6638 8.2848 3.1796 5.8346
10th duke Women's Volleyball 2-0-0 7.9399 8.0042 7.7685 9.5341 8.1110 7.8001 8.4891
11th north carolina Field Hockey 2-0-0 8.4084 7.8818 7.1360 -5.0511 8.0146 -4.9843 -5.1175
12th trine Men's Soccer 3-0-0 7.9717 7.6650 6.9816 7.9720 7.6100 3.2950 10.5356
13th viterbo Women's Soccer 2-0-0 8.5529 7.6996 6.8074 -8.2162 7.6075 -7.9859 -5.4856
14th marshall Football 2-0-0 7.7691 7.9332 5.8985 7.7617 7.4206 3.9329 9.4848
15th notre dame Women's Volleyball 2-0-0 6.9075 7.0053 7.2158 8.5541 7.2007 7.0238 7.5917
16th clemson Football 3-0-0 7.5265 7.0704 5.3143 7.5298 6.9335 4.8273 8.1623
17th utep Women's Volleyball 2-1-0 6.9858 6.8802 6.7386 0.2844 6.8897 2.2139 -1.6586
18th notre dame Football 2-0-0 6.9629 7.1174 5.8030 6.9723 6.7860 6.4296 5.5699
19th missouri st Women's Volleyball 2-0-0 6.9302 6.6899 6.2215 0.2910 6.6596 2.5177 -1.9402
20th florida Women's Soccer 1-0-1 4.0935 6.8017 7.8845 -6.3483 6.6021 -5.0655 -5.2173
21st clemson Men's Soccer 1-0-0 4.2350 6.6733 7.9849 4.2353 6.5790 1.6353 5.7480
22nd north carolina Football 2-0-0 5.5622 6.4646 7.6850 5.5710 6.3835 3.8441 5.7533
23rd arkansas st Women's Soccer 5-0-0 4.5617 6.2662 6.8587 -0.7168 6.2837 0.0375 -1.1315
24th clemson Women's Soccer 2-2-0 6.5082 6.1571 5.2973 -0.4527 6.1365 -5.0165 3.7523
25th texas st Women's Volleyball 8-1-0 5.6953 5.8661 6.0133 0.1964 5.8567 1.5143 -1.1323
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