Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
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ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
---|---|---|---|---|---|---|---|
1st | Texas | 1,714.7246 | 1,681.0044 | 1,697.7808 | 50.78 | 73.98 | 0.275 |
2nd | Baylor | 1,637.2276 | 1,602.5923 | 1,619.8174 | 50.04 | 66.77 | 0.169 |
3rd | Iowa St. | 1,622.0796 | 1,591.6703 | 1,606.8030 | 49.21 | 65.57 | 0.177 |
4th | Oklahoma | 1,607.0497 | 1,579.7219 | 1,593.3272 | 47.91 | 66.02 | 0.139 |
5th | TCU | 1,599.4183 | 1,570.7527 | 1,585.0207 | 47.63 | 64.95 | 0.115 |
6th | Kansas St. | 1,590.4014 | 1,557.4621 | 1,573.8456 | 46.48 | 65.56 | 0.127 |
7th | Kansas | 1,588.3555 | 1,557.8945 | 1,573.0513 | 49.36 | 62.60 | 0.135 |
8th | Texas Tech | 1,583.2854 | 1,547.0023 | 1,565.0387 | 46.84 | 64.07 | 0.113 |
9th | West Virginia | 1,530.8169 | 1,499.7262 | 1,515.1918 | 43.69 | 60.48 | 0.042 |
ViPR Adjusted Offenses and Defenses are adjusted to expected values against an average team in the same division.
Rnk. | Team | Hit% | Kill% | HE% | AST% | O_DIG% | O_BLK% | ACE% |
---|---|---|---|---|---|---|---|---|
1st | Texas | 0.3861 | 48.13 | 9.52 | 44.67 | 43.09 | 3.06 | 6.35 |
2nd | Iowa St. | 0.3052 | 41.79 | 11.27 | 39.05 | 47.13 | 3.63 | 6.13 |
3rd | Kansas St. | 0.2952 | 40.68 | 11.16 | 37.84 | 46.77 | 4.70 | 6.81 |
4th | Baylor | 0.2950 | 43.20 | 13.70 | 40.52 | 44.18 | 5.17 | 5.95 |
5th | Texas Tech | 0.2665 | 40.22 | 13.57 | 37.39 | 47.07 | 5.84 | 5.90 |
6th | Oklahoma | 0.2660 | 39.35 | 12.75 | 36.58 | 46.86 | 5.14 | 5.14 |
7th | TCU | 0.2639 | 40.30 | 13.90 | 37.96 | 46.28 | 5.46 | 6.94 |
8th | Kansas | 0.2633 | 41.95 | 15.62 | 39.26 | 43.39 | 4.99 | 5.06 |
9th | West Virginia | 0.2132 | 36.91 | 15.59 | 34.11 | 48.98 | 5.06 | 5.17 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Texas | 0.1108 | 30.74 | 19.66 | 29.44 | 51.45 | 8.50 | 4.21 |
2nd | Baylor | 0.1263 | 29.61 | 16.98 | 28.04 | 54.72 | 6.82 | 3.77 |
3rd | Oklahoma | 0.1267 | 30.13 | 17.46 | 27.93 | 53.56 | 7.69 | 3.75 |
4th | Iowa St. | 0.1281 | 29.76 | 16.95 | 27.72 | 55.05 | 7.80 | 4.65 |
5th | Kansas | 0.1286 | 32.03 | 19.17 | 30.16 | 50.65 | 9.05 | 5.26 |
6th | TCU | 0.1494 | 31.48 | 16.55 | 30.31 | 53.85 | 6.42 | 4.10 |
7th | Texas Tech | 0.1530 | 33.15 | 17.84 | 31.46 | 51.37 | 7.32 | 5.19 |
8th | Kansas St. | 0.1682 | 33.47 | 16.65 | 31.32 | 51.54 | 6.50 | 4.38 |
9th | West Virginia | 0.1710 | 34.51 | 17.41 | 32.81 | 50.28 | 7.45 | 5.28 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,592.2085 | 1,588.1291 | 1,586.4096 | 1,584.0645 | 1,587.7029 |
Difference | -4.0794 | -5.7989 | -8.1440 | -6.0074 |
Offense | Defense | ||||||||||||||
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Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Texas | 101 | 2,353 | 1,001 | 116 | 258 | 42.54 | 20.3 | 9.1 | 2,083 | 704 | 100 | 220 | 66.20 | 20.8 | 9.5 |
Baylor | 118 | 2,645 | 1,147 | 126 | 206 | 43.37 | 21.0 | 12.8 | 2,496 | 984 | 105 | 227 | 60.58 | 23.8 | 11.0 |
Iowa St. | 123 | 2,811 | 1,217 | 141 | 271 | 43.29 | 19.9 | 10.4 | 2,674 | 1,061 | 134 | 197 | 60.32 | 20.0 | 13.6 |
Oklahoma | 108 | 2,421 | 1,029 | 104 | 227 | 42.50 | 23.3 | 10.7 | 2,288 | 896 | 93 | 207 | 60.84 | 24.6 | 11.1 |
TCU | 102 | 2,281 | 973 | 137 | 199 | 42.66 | 16.6 | 11.5 | 2,186 | 871 | 91 | 211 | 60.16 | 24.0 | 10.4 |
Texas Tech | 110 | 2,458 | 1,055 | 123 | 223 | 42.92 | 20.0 | 11.0 | 2,345 | 941 | 127 | 205 | 59.87 | 18.5 | 11.4 |
Kansas St. | 98 | 2,196 | 900 | 126 | 194 | 40.98 | 17.4 | 11.3 | 2,169 | 866 | 102 | 183 | 60.07 | 21.3 | 11.9 |
Kansas | 109 | 2,380 | 1,024 | 94 | 174 | 43.03 | 25.3 | 13.7 | 2,362 | 1,001 | 131 | 219 | 57.62 | 18.0 | 10.8 |
West Virginia | 112 | 2,330 | 925 | 102 | 252 | 39.70 | 22.8 | 9.2 | 2,509 | 1,109 | 136 | 220 | 55.80 | 18.4 | 11.4 |
Conference Average | 109 | 2,431 | 1,030 | 119 | 223 | 42.33 | 20.7 | 11.1 | 2,346 | 937 | 113 | 210 | 60.16 | 21.0 | 11.2 |
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Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
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GAME |
78.51 |
2018-11-03 | Norman, Okla. |
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GAME |
77.28 |
2018-09-19 | Manhattan, Kan. |
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GAME |
76.54 |
2018-10-03 | Fort Worth, Texas |
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GAME |
76.20 |
2018-10-20 | Waco, Texas |
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GAME |
75.68 |
2018-09-19 | Morgantown, W.Va. |
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GAME |
75.62 |
2018-11-07 | Lubbock, Texas |
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GAME |
74.91 |
2018-10-13 | Norman, Okla. |
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GAME |
74.56 |
2018-09-26 | Norman, Okla. |
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GAME |
74.42 |
2018-10-26 | Ames, Iowa |
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GAME |
74.27 |
2018-10-24 | Manhattan, Kan. |
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Name | Team | Role |
---|---|---|
Brionne Butler | Texas | A |
Shelly Fanning | Baylor | A |
Elan McCall | TCU | A |
Jess Schaben | Iowa St. | A |
Micaya White | Texas | A |
Sydney Petersen | Texas | D |
Kylee McLaughlin | Oklahoma | S |
Name | Team | Role |
---|---|---|
Alyssa Enneking | Oklahoma | A |
Morgan Johnson | Texas | A |
Grace Lazard | Iowa St. | A |
Yossiana Pressley | Baylor | A |
Kylee Zumach | Kansas St. | A |
Keyton Kinley | Oklahoma | D |
Ashley Shook | Texas | S |
Rank | Name | Team |
---|---|---|
1 | Jess Schaben | Iowa St. |
2 | Micaya White | Texas |
3 | Elan McCall | TCU |
4 | Kylee McLaughlin | Oklahoma |
5 | Alyssa Enneking | Oklahoma |
Rank | Name | Team |
---|---|---|
1 | Jess Schaben | Iowa St. |
2 | Micaya White | Texas |
3 | Elan McCall | TCU |
4 | Alyssa Enneking | Oklahoma |
5 | Kylee Zumach | Kansas St. |
Rank | Name | Team |
---|---|---|
1 | Kylee McLaughlin | Oklahoma |
2 | Ashley Shook | Texas |
3 | Piper Mauck | Iowa St. |
4 | Missy Owens | Texas Tech |
5 | Tori Dilfer | TCU |
Rank | Name | Team |
---|---|---|
1 | Sydney Petersen | Texas |
2 | Keyton Kinley | Oklahoma |
3 | Tara Wulf | Baylor |
4 | Hali Hillegas | Iowa St. |
5 | Devan Fairfield | Kansas St. |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Jess Schaben | Iowa St. | 30.4990 |
2 | Kylee McLaughlin | Oklahoma | 25.8946 |
3 | Alyssa Enneking | Oklahoma | 25.0982 |
4 | Piper Mauck | Iowa St. | 22.0484 |
5 | Shelly Fanning | Baylor | 21.4781 |
6 | Yossiana Pressley | Baylor | 21.2682 |
7 | Kylee Zumach | Kansas St. | 20.3195 |
8 | Micaya White | Texas | 19.9714 |
9 | Elan McCall | TCU | 19.4502 |
10 | Emily Hill | Texas Tech | 19.4429 |
Rk. | Name | Team | OWPA |
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1 | Jess Schaben | Iowa St. | 18.0052 |
2 | Kylee McLaughlin | Oklahoma | 15.7264 |
3 | Shelly Fanning | Baylor | 15.1648 |
4 | Piper Mauck | Iowa St. | 15.0542 |
5 | Alyssa Enneking | Oklahoma | 14.7515 |
6 | Missy Owens | Texas Tech | 13.3376 |
7 | Sarah Dixon | Kansas St. | 13.0981 |
8 | Yossiana Pressley | Baylor | 12.9960 |
9 | Tori Dilfer | TCU | 12.7127 |
10 | Micaya White | Texas | 11.9957 |
Rk. | Name | Team | DWPA |
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1 | Keyton Kinley | Oklahoma | 17.5620 |
2 | Hali Hillegas | Iowa St. | 16.0145 |
3 | Tara Wulf | Baylor | 14.3598 |
4 | Allie Nelson | Kansas | 13.1446 |
5 | Emerson Solano | Texas Tech | 12.8131 |
6 | Jess Schaben | Iowa St. | 12.4938 |
7 | Devan Fairfield | Kansas St. | 12.0393 |
8 | Alexa Hasting | West Virginia | 11.3444 |
9 | Aniah Philo | Baylor | 11.2389 |
10 | Sydney Petersen | Texas | 11.1400 |
Rk. | Name | Team | WPA/S |
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1 | Elan McCall | TCU | 0.2494 |
2 | Jess Schaben | Iowa St. | 0.2480 |
3 | Kylee McLaughlin | Oklahoma | 0.2398 |
4 | Alyssa Enneking | Oklahoma | 0.2324 |
5 | Kylee Zumach | Kansas St. | 0.2185 |
6 | Micaya White | Texas | 0.1977 |
7 | Yossiana Pressley | Baylor | 0.1933 |
8 | Piper Mauck | Iowa St. | 0.1917 |
9 | Sarah Dixon | Kansas St. | 0.1903 |
10 | Tori Dilfer | TCU | 0.1897 |
Rk. | Name | Team | OWPA/S |
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1 | Jess Schaben | Iowa St. | 0.1464 |
2 | Kylee McLaughlin | Oklahoma | 0.1456 |
3 | Elan McCall | TCU | 0.1381 |
4 | Alyssa Enneking | Oklahoma | 0.1366 |
5 | Sarah Dixon | Kansas St. | 0.1337 |
6 | Piper Mauck | Iowa St. | 0.1309 |
7 | Shelly Fanning | Baylor | 0.1285 |
8 | Missy Owens | Texas Tech | 0.1270 |
9 | Tori Dilfer | TCU | 0.1246 |
10 | Kylee Zumach | Kansas St. | 0.1195 |
Rk. | Name | Team | DWPA/S |
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1 | Keyton Kinley | Oklahoma | 0.1626 |
2 | Hali Hillegas | Iowa St. | 0.1302 |
3 | Devan Fairfield | Kansas St. | 0.1228 |
4 | Tara Wulf | Baylor | 0.1217 |
5 | Allie Nelson | Kansas | 0.1206 |
6 | Emerson Solano | Texas Tech | 0.1176 |
7 | Elan McCall | TCU | 0.1113 |
8 | Sydney Petersen | Texas | 0.1103 |
9 | Aniah Philo | Baylor | 0.1060 |
10 | Lexi MacLean | TCU | 0.1023 |
Conference Strength – The Conference Strength table has two parts. The first row is a list of averages of the scores for a selection of teams in the conference ranging from all of them under the heading “Average” to an average of teams in the conference if we remove the top and bottom three teams. This is designed to check if a conference is propped up by its elite teams of held down by its weakest teams. The Composite score on the far right is an average of those scores. It is a weighted score where the middle teams have a higher value than the edge teams. The second row containing difference is simply a measure of how different removing the edge teams makes the conference from its initial average. If the numbers are positive, then removing the edge teams increases the conferences rating. If a value grows from the value before it, then the team removed at the bottom of the ratings was rated farther outside of the mean than the team removed at the top of the ratings. It was weighing the average down so to speak. The Composite difference at the far right is simply an average of the differences.
The Best Conference Games – A short list of the best games played between two members of the conference which is calculated using the EPIC score of each game. EPIC score is essentially very simple amounting to adding the teams combined ViPR Rating and the total Win Probability Added scored by each team.
All-Conference Teams – All-conference teams are calculated using Win Probability Added per Set Played and the quality of the team that the player plays on. Team quality is included because better teams tend to have better players and more of them. This often means that players on better teams have fewer opportunities than standouts on lesser teams.
Awards Lists – Each awards list uses the same formula that is used to calculate All-Conference Teams, and decides based on the focus of the list. Player of the Year has no limitation on how the player score is added up. While Attacker of the Year must have a higher attack score than any other metric. Similarly Setter and Defensive Player must acquire most of their score through those metrics.