Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Conference | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj Hit Mar. |
---|---|---|---|---|---|---|---|---|
1st | Penn St. | Big Ten | 1,890.4550 | 1,870.4250 | 1,880.4133 | 57.49 | 76.36 | 0.345 |
2nd | Nebraska | Big Ten | 1,884.6155 | 1,874.1738 | 1,879.3874 | 57.81 | 74.94 | 0.314 |
3rd | Stanford | Pac-12 | 1,871.5459 | 1,864.2072 | 1,867.8729 | 55.98 | 75.69 | 0.331 |
4th | Wisconsin | Big Ten | 1,830.4811 | 1,816.0209 | 1,823.2367 | 53.13 | 75.36 | 0.309 |
5th | Michigan St. | Big Ten | 1,827.2484 | 1,805.7407 | 1,816.4627 | 54.29 | 71.05 | 0.244 |
6th | Texas | Big 12 | 1,824.9029 | 1,803.7355 | 1,814.2883 | 52.85 | 73.72 | 0.297 |
7th | Washington | Pac-12 | 1,814.1567 | 1,804.0330 | 1,809.0877 | 54.01 | 71.15 | 0.237 |
8th | Minnesota | Big Ten | 1,820.3245 | 1,797.2985 | 1,808.7748 | 53.33 | 73.22 | 0.254 |
9th | Florida | SEC | 1,809.9833 | 1,802.1184 | 1,806.0465 | 54.13 | 72.30 | 0.279 |
10th | Florida | Southeastern | 1,809.9833 | 1,802.1184 | 1,806.0465 | 54.13 | 72.30 | 0.279 |
11th | UCLA | Pac-12 | 1,804.6315 | 1,800.5082 | 1,802.5687 | 53.30 | 70.92 | 0.232 |
12th | BYU | West Coast | 1,799.4998 | 1,794.1652 | 1,796.8305 | 53.91 | 69.88 | 0.207 |
13th | BYU | WCC | 1,799.4998 | 1,794.1652 | 1,796.8305 | 53.91 | 69.88 | 0.207 |
14th | Utah | Pac-12 | 1,798.2233 | 1,790.2424 | 1,794.2284 | 52.60 | 70.86 | 0.228 |
15th | Kentucky | SEC | 1,790.2025 | 1,788.0101 | 1,789.1060 | 49.88 | 73.67 | 0.243 |
16th | Kentucky | Southeastern | 1,790.2025 | 1,788.0101 | 1,789.1060 | 49.88 | 73.67 | 0.243 |
17th | Colorado | Pac-12 | 1,789.6237 | 1,783.1038 | 1,786.3608 | 51.60 | 69.32 | 0.212 |
18th | Illinois | Big Ten | 1,798.5692 | 1,773.6822 | 1,786.0823 | 51.22 | 71.43 | 0.225 |
19th | Southern California | Pac-12 | 1,790.0517 | 1,775.1569 | 1,782.5888 | 51.24 | 70.84 | 0.210 |
20th | Purdue | Big Ten | 1,785.3453 | 1,772.2585 | 1,778.7899 | 51.61 | 70.81 | 0.240 |
21st | San Diego | West Coast | 1,777.9983 | 1,765.2219 | 1,771.5986 | 51.95 | 69.53 | 0.185 |
22nd | San Diego | WCC | 1,777.9983 | 1,765.2219 | 1,771.5986 | 51.95 | 69.53 | 0.185 |
23rd | Wichita St. | AAC | 1,762.3987 | 1,776.3099 | 1,769.3406 | 50.84 | 70.59 | 0.213 |
24th | Cal Poly | Big West | 1,770.2047 | 1,760.6562 | 1,765.4240 | 50.71 | 70.16 | 0.196 |
25th | Baylor | Big 12 | 1,769.9230 | 1,760.8112 | 1,765.3612 | 51.32 | 69.90 | 0.220 |
ViPR Adjusted Offenses and Defenses are adjusted to expected values against an average team in the same division.
Rnk. | Team | Conference | Hit% | Kill% | HE% | AST% | O_DIG% | O_BLK% | ACE% |
---|---|---|---|---|---|---|---|---|---|
1st | Penn St. | Big Ten | 0.4172 | 50.99 | 9.27 | 47.21 | 38.63 | 3.40 | 6.75 |
2nd | Stanford | Pac-12 | 0.4068 | 50.55 | 9.87 | 47.19 | 38.10 | 3.77 | 7.69 |
3rd | Kentucky | SEC | 0.3849 | 49.09 | 10.60 | 44.84 | 38.57 | 4.13 | 6.23 |
4th | Kentucky | Southeastern | 0.3849 | 49.09 | 10.60 | 44.84 | 38.57 | 4.13 | 6.23 |
5th | Texas | Big 12 | 0.3813 | 46.77 | 8.64 | 43.12 | 44.61 | 2.91 | 5.22 |
6th | Wisconsin | Big Ten | 0.3799 | 48.69 | 10.70 | 46.17 | 38.73 | 4.06 | 5.76 |
7th | Purdue | Big Ten | 0.3652 | 49.25 | 12.73 | 45.60 | 37.68 | 3.49 | 6.28 |
8th | Nebraska | Big Ten | 0.3612 | 47.19 | 11.06 | 43.18 | 39.96 | 3.73 | 7.25 |
9th | Minnesota | Big Ten | 0.3566 | 45.34 | 9.68 | 42.18 | 42.85 | 4.02 | 6.34 |
10th | Western Ky. | Conference USA | 0.3502 | 47.23 | 12.21 | 43.67 | 38.22 | 5.30 | 6.21 |
Rnk. | Team | Conference | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|---|
1st | Nebraska | Big Ten | 0.0469 | 24.02 | 19.32 | 22.54 | 58.37 | 8.36 | 2.57 |
2nd | Florida | SEC | 0.0653 | 25.73 | 19.20 | 24.03 | 57.32 | 8.65 | 3.98 |
3rd | Florida | Southeastern | 0.0653 | 25.73 | 19.20 | 24.03 | 57.32 | 8.65 | 3.98 |
4th | Wisconsin | Big Ten | 0.0713 | 26.85 | 19.72 | 25.59 | 56.13 | 8.67 | 2.70 |
5th | Penn St. | Big Ten | 0.0721 | 28.07 | 20.86 | 26.76 | 55.75 | 10.27 | 3.05 |
6th | Stanford | Pac-12 | 0.0760 | 28.91 | 21.31 | 27.26 | 52.40 | 10.73 | 3.31 |
7th | Texas | Big 12 | 0.0848 | 27.94 | 19.46 | 26.73 | 55.11 | 9.25 | 4.72 |
8th | Iowa St. | Big 12 | 0.0878 | 26.78 | 18.00 | 25.23 | 57.86 | 8.26 | 4.35 |
9th | UCLA | Pac-12 | 0.0908 | 26.40 | 17.32 | 25.07 | 59.62 | 7.04 | 3.91 |
10th | Michigan St. | Big Ten | 0.0959 | 27.39 | 17.80 | 26.68 | 57.68 | 7.79 | 3.88 |
Rank | Conference | Average | RM-1 | RM-2 | RM-3 | Composite |
---|---|---|---|---|---|---|
1st | Pac-12 | 1,756.5532 | 1,755.9177 | 1,760.0899 | 1,765.0369 | 1,759.3994 |
2nd | Big Ten | 1,747.5657 | 1,755.2636 | 1,755.7492 | 1,757.3733 | 1,753.9880 |
3rd | Big 12 | 1,709.8301 | 1,704.7396 | 1,704.3329 | 1,699.9653 | 1,704.7170 |
4th | Southeastern | 1,687.7857 | 1,690.0434 | 1,686.0886 | 1,688.6961 | 1,688.1534 |
5th | West Coast | 1,669.0068 | 1,671.9107 | 1,667.8346 | 1,670.0682 | 1,669.7051 |
6th | Atlantic Coast | 1,640.8489 | 1,643.2965 | 1,642.5265 | 1,644.2949 | 1,642.7417 |
7th | Big West | 1,634.1501 | 1,636.3327 | 1,624.6501 | 1,613.7441 | 1,627.2193 |
8th | Big East | 1,631.2132 | 1,626.8283 | 1,620.9052 | 1,621.7701 | 1,625.1792 |
9th | Mountain West | 1,618.9841 | 1,615.4667 | 1,614.0868 | 1,612.3051 | 1,615.2107 |
10th | AAC | 1,611.5421 | 1,603.8287 | 1,603.8992 | 1,602.2125 | 1,605.3706 |
Offense | ||||
---|---|---|---|---|
Team | Conference | S | SP | SP% |
North Carolina | Atlantic Coast | 2,413 | 1,206 | 49.98 |
Seattle U | Western Athletic | 2,332 | 1,147 | 49.19 |
Penn St. | Big Ten | 2,961 | 1,453 | 49.07 |
Radford | Big South | 2,458 | 1,206 | 49.06 |
Nebraska | Big Ten | 2,969 | 1,444 | 48.64 |
Col. of Charleston | Colonial | 2,750 | 1,336 | 48.58 |
Alabama St. | Southwestern | 3,161 | 1,530 | 48.40 |
BYU | West Coast | 2,740 | 1,326 | 48.39 |
UMES | Mid-Eastern | 3,061 | 1,468 | 47.96 |
Dayton | Atlantic 10 | 2,500 | 1,198 | 47.92 |
Defense | ||||
---|---|---|---|---|
Team | Conference | OS | SPA | SO% |
Penn St. | Big Ten | 2,263 | 722 | 68.10 |
Wichita St. | AAC | 2,110 | 690 | 67.30 |
Western Ky. | Conference USA | 2,277 | 749 | 67.11 |
Kentucky | Southeastern | 2,405 | 795 | 66.94 |
Texas | Big 12 | 2,096 | 694 | 66.89 |
Stanford | Pac-12 | 2,317 | 772 | 66.68 |
Nebraska | Big Ten | 2,344 | 787 | 66.43 |
Wisconsin | Big Ten | 2,246 | 755 | 66.39 |
Minnesota | Big Ten | 2,368 | 817 | 65.50 |
Florida | Southeastern | 2,273 | 786 | 65.42 |
Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
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GAME |
89.35 |
2017-12-14 | Kansas City, MO |
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GAME |
88.03 |
2017-10-27 | Seattle, Wash. |
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GAME |
87.97 |
2017-10-06 | Seattle, Wash. |
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GAME |
87.77 |
2017-11-25 | Minneapolis, MN |
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GAME |
86.45 |
2017-10-13 | Omaha, Neb. |
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GAME |
86.45 |
2017-11-01 | East Lansing, Mich. |
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GAME |
86.12 |
2017-11-16 | Stanford, Calif. |
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GAME |
85.93 |
2017-11-10 | Los Angeles, Calif. |
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GAME |
85.90 |
2017-08-27 | Honolulu, HI |
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GAME |
85.71 |
2017-09-24 | Boulder, Colo. |
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Rank | Name | Team |
---|---|---|
1 | Kelly Hunter | Nebraska |
2 | Simone Lee | Penn St. |
3 | Mikaela Foecke | Nebraska |
4 | Stephanie Samedy | Minnesota |
5 | Kathryn Plummer | Stanford |
6 | Haleigh Washington | Penn St. |
7 | Jordyn Poulter | Illinois |
8 | Jenna Gray | Stanford |
9 | Samantha Swenson | Minnesota |
10 | Adora Anae | Utah |
Rank | Name | Team |
---|---|---|
1 | Simone Lee | Penn St. |
2 | Mikaela Foecke | Nebraska |
3 | Stephanie Samedy | Minnesota |
4 | Kathryn Plummer | Stanford |
5 | Haleigh Washington | Penn St. |
6 | Adora Anae | Utah |
7 | Annika Albrecht | Nebraska |
8 | Alexa Smith | Colorado |
9 | Lily Johnson | Missouri St. |
10 | Torrey Winden | Cal Poly |
Rank | Name | Team |
---|---|---|
1 | Kelly Hunter | Nebraska |
2 | Jordyn Poulter | Illinois |
3 | Jenna Gray | Stanford |
4 | Samantha Swenson | Minnesota |
5 | Rachel Minarick | Michigan St. |
6 | Sarah Sponcil | UCLA |
7 | Abby Detering | Penn St. |
8 | Ashley Shook | Texas |
9 | Taylor Nelson | Cal Poly |
10 | Kristen Gengenbacher | San Diego |
Rank | Name | Team |
---|---|---|
1 | Morgan Hentz | Stanford |
2 | Kendall White | Penn St. |
3 | Kenzie Maloney | Nebraska |
4 | Tia Scambray | Washington |
5 | Zana Muno | UCLA |
6 | Cat McCoy | Texas |
7 | Dalianliz Rosado | Minnesota |
8 | Brandi Donnelly | Illinois |
9 | Sydney Townsend | Nebraska |
10 | Caroline Knop | Florida |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Lily Johnson | Missouri St. | 37.6169 |
2 | Kennedy Kurtz | Sacramento St. | 36.7567 |
3 | Shannon Boyle | Sacramento St. | 34.0117 |
4 | Sydney Griffin | North Dakota | 32.6173 |
5 | Pilar Victoria | Arkansas | 32.5756 |
6 | Heather Hook | UNI | 32.1250 |
7 | Mikaela Nocetti | Sacramento St. | 31.8376 |
8 | Jordyn Poulter | Illinois | 31.7075 |
9 | Adora Anae | Utah | 31.6032 |
10 | Aleksandra Kazala | American | 31.0417 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Kennedy Kurtz | Sacramento St. | 22.6740 |
2 | Heather Hook | UNI | 22.0413 |
3 | Pilar Victoria | Arkansas | 21.7919 |
4 | Allie Barber | Marquette | 21.3243 |
5 | Lily Johnson | Missouri St. | 20.8575 |
6 | Sydney Griffin | North Dakota | 20.7064 |
7 | Mary-Kate Marshall | Oregon St. | 19.7347 |
8 | Jaelyn Keene | Illinois St. | 19.4008 |
9 | Karley York | North Texas | 19.1563 |
10 | Sarah Bell | Southern Miss. | 19.1455 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Courtney Pence | Illinois St. | 26.7408 |
2 | Kallie Seimet | Bowling Green | 25.6989 |
3 | Taylor Horsfall | Tulsa | 24.6973 |
4 | Ryann DeJarld | Notre Dame | 23.3053 |
5 | Emily Butters | Missouri St. | 23.1017 |
6 | Rylee Cookerly | Valparaiso | 22.3627 |
7 | Maeve McDonald | Miami (OH) | 22.1443 |
8 | Yavianliz Rosado | Bradley | 21.5994 |
9 | Gabrielle Eyl | Northeastern | 21.2982 |
10 | Yumi Garcia | Charlotte | 21.1442 |
Rk. | Name | Team | WPA/S |
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1 | Lindsey Ruddins | UC Santa Barbara | 0.2978 |
2 | Lily Johnson | Missouri St. | 0.2962 |
3 | Amanda Carroll | FGCU | 0.2867 |
4 | Pilar Victoria | Arkansas | 0.2808 |
5 | Aleksandra Kazala | American | 0.2723 |
6 | Madison McDaniel | Rice | 0.2584 |
7 | Stephanie Samedy | Minnesota | 0.2562 |
8 | Shelby Olsen | Northern Ky. | 0.2558 |
9 | Torrey Winden | Cal Poly | 0.2557 |
10 | Leah Hardeman | Coastal Caro. | 0.2539 |
Rk. | Name | Team | OWPA/S |
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1 | Lindsey Ruddins | UC Santa Barbara | 0.1937 |
2 | Pilar Victoria | Arkansas | 0.1879 |
3 | Allie Barber | Marquette | 0.1838 |
4 | Torrey Winden | Cal Poly | 0.1729 |
5 | Lydia Dimke | Creighton | 0.1703 |
6 | Heather Hook | UNI | 0.1683 |
7 | Amanda Carroll | FGCU | 0.1666 |
8 | Taylor Nelson | Cal Poly | 0.1665 |
9 | Aleksandra Kazala | American | 0.1663 |
10 | Sarah Bell | Southern Miss. | 0.1650 |
Rk. | Name | Team | DWPA/S |
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1 | Kallie Seimet | Bowling Green | 0.2215 |
2 | Courtney Pence | Illinois St. | 0.2041 |
3 | Rylee Hunt | Niagara | 0.1995 |
4 | Challen Geraghty | Kent St. | 0.1989 |
5 | Taylor Horsfall | Tulsa | 0.1976 |
6 | Rylee Cookerly | Valparaiso | 0.1911 |
7 | Ryann DeJarld | Notre Dame | 0.1910 |
8 | Mikaela Purnell | North Dakota St. | 0.1885 |
9 | Gabrielle Eyl | Northeastern | 0.1885 |
10 | Maurissa Leonard | Toledo | 0.1884 |
The Best Division Games – A short list of the best games played between two members of the division 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-America Teams – All America 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 HuskerGeek All-American 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.