Nerdly Nebraska.

2019-2020 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Stanford 1,839.6298
BPR D1 NCAAWBB Baylor 0.8231

Football ohio st 12.6975
Men's Basketball kansas 13.0297
Women's Basketball baylor 13.4405
Ice Hockey minnesota st 10.2720
Men's Soccer georgetown 10.7279
Women's Soccer stanford 13.0262
Men's Volleyball byu 10.0755
Women's Volleyball stanford 11.3000
Field Hockey north carolina 12.2787

BPR NCAA Women's Basketball Ratings

Division 1

Rnk. Team Conference
1st Baylor Big 12
2nd Oregon Pac-12
3rd South Carolina SEC
4th UConn AAC
5th Maryland Big Ten
6th Indiana Big Ten
7th Stanford Pac-12
8th Oregon St. Pac-12
9th Mississippi St. SEC
10th Louisville ACC
-- Expand Division 1 --

Division 2

Rnk. Team Conference
1st Ashland GLIAC
2nd Grand Valley St. GLIAC
3rd Drury GLVC
4th Alas. Anchorage Great Northwest
5th MSU Moorhead NSIC
6th Tex. A&M-Commerce Lone Star
7th Fort Hays St. Mid-America Intercollegiate
8th Walsh G-MAC
9th Central Okla. Mid-America Intercollegiate
10th Central Mo. Mid-America Intercollegiate
-- Expand Division 2 --

Division 3

Rnk. Team Conference
1st Hope Michigan Intercol. Ath. Assn.
2nd Tufts NESCAC
3rd Amherst NESCAC
4th Wartburg American Rivers
5th Bethel (MN) MIAC
6th Bowdoin NESCAC
7th Wis.-Whitewater WIAC
8th Trine Michigan Intercol. Ath. Assn.
9th Loras American Rivers
10th Simpson American Rivers
-- Expand Division 3 --

ViPR NCAA Volleyball Ratings

Division 1

Rnk. Team Conference
1st Stanford Pac-12
2nd Wisconsin Big Ten
3rd Nebraska Big Ten
4th Penn St. Big Ten
5th Kentucky SEC
6th Texas Big 12
7th Minnesota Big Ten
8th Utah Pac-12
9th Baylor Big 12
10th Washington Pac-12

Division 1 Standouts

Award Name Team
POY
AOY
SOY
DPOY
-- Expand Division 1 --

Division 2

Rnk. Team Conference
1st Neb.-Kearney Mid-America Intercollegiate
2nd Cal St. San B'dino CCAA
3rd Northern St. NSIC
4th Rockhurst GLVC
5th Washburn Mid-America Intercollegiate
6th Wayne St. (NE) NSIC
7th Minn. Duluth NSIC
8th Concordia-St. Paul NSIC
9th Western Wash. Great Northwest
10th St. Cloud St. NSIC

Division 2 Standouts

Award Name Team
POY
AOY
SOY
DPOY
-- Expand Division 2 --

Division 3

Rnk. Team Conference
1st Johns Hopkins Centennial
2nd Calvin Michigan Intercol. Ath. Assn.
3rd Carthage CCIW
4th Colorado Col. SCAC
5th Chicago UAA
6th Trinity (TX) SCAC
7th Muskingum OAC
8th Claremont-M-S SCIAC
9th Emory UAA
10th Transylvania HCAC

Division 3 Standouts

Award Name Team
POY
AOY
SOY
DPOY
-- 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) 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 baylor Women's Basketball 13-3-0 13.8294 13.5620 12.0865 13.8316 13.4405 13.3250 12.2359
2nd south carolina Women's Basketball 16-1-0 13.1999 12.9803 13.3677 13.1973 13.2694 13.1838 11.1801
3rd kansas Men's Basketball 13-3-0 12.6198 12.8796 13.5734 12.6146 13.0297 10.6300 11.0871
4th stanford Women's Soccer 23-1-1 12.2747 13.0852 13.3325 10.6576 13.0262 6.3494 -0.1968
5th st marys tx Men's Soccer 1-0-1 10.6622 13.2603 14.3988 11.3128 12.9738 9.5255 -3.4134
6th ohio st Football 10-0-0 12.6427 12.7214 12.5997 12.6430 12.6975 13.3743 11.2532
7th ohio st Football 13-1-0 12.5082 12.6544 12.8464 12.5090 12.6627 13.1700 11.1966
8th duke Men's Basketball 15-2-0 12.2686 12.4945 12.8651 12.2710 12.5795 11.5109 9.8283
9th uconn Women's Basketball 14-1-0 12.2668 12.2423 13.1164 12.2757 12.5354 11.0292 11.7004
10th north carolina Women's Soccer 24-1-2 10.5751 12.5270 13.6672 8.4580 12.4541 5.0123 -0.1298
11th indiana Women's Basketball 16-2-0 12.0514 12.0437 12.8048 12.0605 12.2995 10.5308 11.8216
12th ohio st Men's Basketball 4-0-0 11.7912 12.3141 12.9842 11.7412 12.2864 7.4289 12.3806
13th north carolina Field Hockey 22-0-0 12.0960 12.2140 12.4314 12.0959 12.2787 14.3839 8.4725
14th charleston wv Men's Soccer 5-0-0 9.7356 12.5868 13.9168 11.2324 12.2787 0.8252 5.7405
15th mich st Men's Basketball 3-1-0 12.4112 12.4675 10.7665 12.4114 12.1056 11.0576 10.4166
16th southern california Women's Soccer 2-1-0 9.8936 12.1648 13.4874 7.5316 12.0643 6.7103 -2.3733
17th utah state Men's Basketball 5-0-0 12.3241 12.4853 10.2323 12.3197 11.9175 10.3368 10.8631
18th cal st fullerton Women's Soccer 1-0-0 10.9247 12.1331 12.1790 8.8197 11.8935 8.3555 -3.2783
19th west virginia Men's Basketball 14-2-0 11.1633 11.6377 13.1452 11.1434 11.8627 7.9917 10.9474
20th maryland Women's Basketball 12-4-0 12.2350 11.9351 10.5966 12.2390 11.8595 11.8530 10.7565
21st stanford Women's Basketball 15-1-0 11.3675 11.4096 12.0536 11.3766 11.6062 10.4201 10.6288
22nd virginia Women's Soccer 17-2-3 10.3935 11.6476 12.1514 8.3228 11.5482 5.1978 -0.3948
23rd michigan st Men's Basketball 10-3-0 11.2553 11.4138 11.7100 11.2592 11.5097 11.2279 8.4774
24th dayton Men's Basketball 15-2-0 11.1318 11.3826 11.9853 11.1374 11.5066 10.3880 8.9632
25th lsu Football 17-0-0 11.2683 11.3370 12.0431 11.2652 11.4919 12.5227 9.4192
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