Nerdly Nebraska.

2022-2023 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Texas 1,714.0963

Football georgia 10.9929
Men's Basketball purdue 9.6949
Women's Basketball south carolina 12.4937
Ice Hockey st cloud st 7.7067
Men's Soccer kentucky 8.7218
Women's Soccer florida st 10.8910
Women's Volleyball texas 12.0995
Field Hockey north carolina 10.0384

ViPR NCAA Volleyball Ratings

Division 1

Rnk. Team Conference
1st Texas Big 12
2nd Nebraska Big Ten
3rd Wisconsin Big Ten
4th Louisville ACC
5th Minnesota Big Ten
6th Stanford Pac-12
7th Oregon Pac-12
8th Ohio St. Big Ten
9th Pittsburgh ACC
10th San Diego WCC

Division 1 Standouts

Award Name Team
-- Expand Division 1 --

Division 2

Rnk. Team Conference
1st Wayne St. (NE) NSIC
2nd Alas. Anchorage Great Northwest
3rd MSU Denver RMAC
4th Concordia-St. Paul NSIC
5th West Tex. A&M Lone Star
6th Western Wash. Great Northwest
7th Tampa Sunshine State
8th St. Cloud St. NSIC
9th Colorado Mesa RMAC
10th Northwest Mo. St. Mid-America Intercollegiate

Division 2 Standouts

Award Name Team
-- Expand Division 2 --

Division 3

Rnk. Team Conference
1st Juniata Landmark
2nd Claremont-M-S SCIAC
3rd Trinity (TX) SCAC
4th Transylvania HCAC
5th Calvin Michigan Intercol. Ath. Assn.
6th Berry SAA
7th Wis.-Whitewater WIAC
8th Emory UAA
9th Northwestern-St. Paul UMAC
10th Wittenberg NCAC

Division 3 Standouts

Award Name Team
-- Expand Division 3 --

BPR NCAA Women's Basketball Ratings

Division 1

Rnk. Team Conference
-- Expand Division 1 --

Division 2

Rnk. Team Conference
-- Expand Division 2 --

Division 3

Rnk. Team Conference
-- Expand Division 3 --

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) 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 2022-2023.
1st south carolina Women's Basketball 6-0-0 12.3632 12.5466 12.2792 12.3582 12.4937 10.4116 11.6426
2nd texas Women's Volleyball 22-1-0 12.1417 12.1280 12.1169 12.1416 12.0995 12.5222 11.2673
3rd uconn Women's Basketball 5-0-0 11.2937 11.1699 12.3617 11.2492 11.6039 12.5007 7.4159
4th louisville Women's Volleyball 26-2-0 11.3032 11.3037 11.2772 11.3033 11.2708 10.6661 11.4286
5th wisconsin Women's Volleyball 25-3-0 11.1341 11.1057 11.0949 11.1341 11.0878 10.8748 10.9086
6th georgia Football 12-0-0 10.5642 10.7905 11.5476 10.5680 10.9929 8.6302 9.7441
7th florida st Women's Soccer 16-2-3 9.3170 11.0656 11.5763 9.3153 10.8910 3.3024 0.8830
8th stanford Women's Basketball 8-1-0 11.0737 10.9635 9.8418 11.0611 10.8831 10.9691 8.6586
9th stanford Women's Volleyball 24-4-0 10.8559 10.8668 10.9478 10.8559 10.8607 10.6394 10.6016
10th ucla Women's Soccer 20-2-1 9.0957 10.8906 11.3813 9.0034 10.6915 4.0079 0.0238
11th nebraska Women's Volleyball 24-5-0 10.6928 10.7139 10.6344 10.6929 10.6630 9.7368 11.1462
12th north carolina Women's Soccer 20-4-1 8.9449 10.9041 11.3600 8.9834 10.6419 3.2118 0.8239
13th san diego Women's Volleyball 27-1-0 10.3976 10.4537 10.5055 10.3976 10.4265 9.7965 10.5271
14th alabama Women's Soccer 24-1-1 8.7144 10.3684 10.8285 9.1268 10.1962 -0.7809 4.9492
15th pittsburgh Women's Volleyball 27-3-0 10.1582 10.1839 10.2149 10.1582 10.1629 9.7485 10.1165
16th minnesota Women's Volleyball 20-8-0 10.1849 10.1672 10.1147 10.1849 10.1393 9.8499 10.0712
17th north carolina Field Hockey 20-0-0 9.3177 10.1173 10.5104 9.3176 10.0384 10.7256 7.4616
18th oregon Women's Volleyball 23-5-0 9.9277 9.9654 10.0339 9.9276 9.9512 10.3466 9.1106
19th michigan Football 12-0-0 9.5898 9.8816 9.8268 9.5958 9.8453 8.9489 7.8593
20th ohio st Women's Volleyball 19-9-0 9.8646 9.8512 9.8372 9.8645 9.8334 10.0999 9.2241
21st stanford Women's Soccer 16-2-3 8.3203 9.9612 10.3376 8.2537 9.7585 3.5397 0.1584
22nd notre dame Women's Soccer 17-3-3 8.3112 9.9110 10.2497 8.2765 9.7087 2.7587 0.9627
23rd purdue Men's Basketball 6-0-0 8.9383 9.4184 11.6932 8.9243 9.6949 7.6702 8.0159
24th alabama Football 10-2-0 9.5906 9.6637 9.3814 9.5962 9.6812 9.2850 7.5633
25th north carolina Women's Basketball 6-0-0 9.2608 9.2451 10.3904 9.2611 9.6071 8.7857 7.6585