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 | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
---|---|---|---|---|---|---|---|
1st | Nebraska | 1,760.8813 | 1,737.0265 | 1,748.9132 | 56.94 | 73.08 | 0.296 |
2nd | Minnesota | 1,761.8877 | 1,710.5343 | 1,736.0211 | 53.98 | 73.84 | 0.263 |
3rd | Illinois | 1,734.4525 | 1,708.2989 | 1,721.3260 | 54.41 | 72.35 | 0.276 |
4th | Wisconsin | 1,733.3056 | 1,705.4326 | 1,719.3126 | 53.50 | 73.38 | 0.280 |
5th | Penn St. | 1,734.8554 | 1,697.6461 | 1,716.1499 | 52.68 | 73.02 | 0.246 |
6th | Michigan | 1,673.1176 | 1,639.1175 | 1,656.0303 | 51.28 | 68.84 | 0.196 |
7th | Purdue | 1,647.5490 | 1,613.7078 | 1,630.5406 | 51.22 | 66.07 | 0.192 |
8th | Indiana | 1,610.0184 | 1,575.4953 | 1,592.6633 | 47.83 | 64.96 | 0.128 |
9th | Maryland | 1,608.7671 | 1,575.3953 | 1,591.9938 | 49.05 | 62.98 | 0.119 |
10th | Iowa | 1,603.9780 | 1,570.2604 | 1,587.0296 | 47.11 | 64.88 | 0.125 |
11th | Michigan St. | 1,586.5904 | 1,557.9343 | 1,572.1970 | 47.66 | 62.75 | 0.110 |
12th | Ohio St. | 1,576.0438 | 1,536.8709 | 1,556.3341 | 45.17 | 63.77 | 0.078 |
13th | Northwestern | 1,567.6304 | 1,522.5887 | 1,544.9454 | 45.99 | 61.22 | 0.067 |
14th | Rutgers | 1,478.9243 | 1,458.7749 | 1,468.8151 | 41.39 | 57.61 | 0.015 |
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 | Minnesota | 0.3721 | 45.29 | 8.08 | 41.42 | 44.00 | 2.49 | 6.44 |
2nd | Illinois | 0.3608 | 46.99 | 10.91 | 44.01 | 40.93 | 3.32 | 8.03 |
3rd | Wisconsin | 0.3597 | 45.33 | 9.36 | 42.74 | 42.10 | 3.55 | 6.53 |
4th | Nebraska | 0.3436 | 44.57 | 10.21 | 41.19 | 45.21 | 3.11 | 8.19 |
5th | Penn St. | 0.3342 | 44.20 | 10.78 | 40.98 | 44.13 | 4.34 | 6.51 |
6th | Purdue | 0.3134 | 42.71 | 11.36 | 39.61 | 44.90 | 3.08 | 6.96 |
7th | Michigan | 0.3006 | 42.15 | 12.09 | 39.40 | 45.59 | 5.37 | 6.68 |
8th | Iowa | 0.2896 | 40.69 | 11.73 | 38.54 | 47.36 | 4.42 | 5.47 |
9th | Indiana | 0.2660 | 39.34 | 12.73 | 36.49 | 48.82 | 4.54 | 5.30 |
10th | Ohio St. | 0.2632 | 40.37 | 14.05 | 37.76 | 45.04 | 4.22 | 7.77 |
11th | Michigan St. | 0.2574 | 41.35 | 15.61 | 38.30 | 44.24 | 5.57 | 7.08 |
12th | Maryland | 0.2564 | 38.73 | 13.09 | 35.88 | 48.67 | 4.20 | 6.72 |
13th | Northwestern | 0.2320 | 39.62 | 16.42 | 36.67 | 44.97 | 6.91 | 6.68 |
14th | Rutgers | 0.2166 | 38.68 | 17.02 | 36.48 | 46.52 | 6.57 | 6.57 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Nebraska | 0.0476 | 24.38 | 19.62 | 23.18 | 58.44 | 8.90 | 3.96 |
2nd | Wisconsin | 0.0799 | 27.58 | 19.59 | 26.43 | 55.14 | 8.77 | 4.19 |
3rd | Illinois | 0.0852 | 28.18 | 19.66 | 26.81 | 55.09 | 9.07 | 3.86 |
4th | Penn St. | 0.0879 | 28.66 | 19.87 | 27.64 | 55.44 | 9.49 | 2.58 |
5th | Michigan | 0.1042 | 29.11 | 18.69 | 27.85 | 55.67 | 6.73 | 3.49 |
6th | Minnesota | 0.1093 | 28.94 | 18.01 | 28.29 | 55.52 | 7.55 | 3.46 |
7th | Purdue | 0.1213 | 30.97 | 18.84 | 29.05 | 52.92 | 7.77 | 5.11 |
8th | Maryland | 0.1374 | 31.87 | 18.14 | 29.96 | 51.72 | 7.57 | 4.95 |
9th | Indiana | 0.1377 | 31.96 | 18.19 | 30.66 | 52.13 | 8.08 | 3.76 |
10th | Michigan St. | 0.1472 | 34.72 | 20.00 | 32.71 | 47.93 | 9.27 | 5.84 |
11th | Iowa | 0.1642 | 33.01 | 16.59 | 31.29 | 51.73 | 6.79 | 4.53 |
12th | Northwestern | 0.1653 | 34.23 | 17.70 | 32.05 | 50.57 | 7.40 | 5.98 |
13th | Ohio St. | 0.1850 | 34.67 | 16.17 | 32.10 | 51.88 | 6.28 | 5.98 |
14th | Rutgers | 0.2016 | 37.16 | 17.00 | 34.99 | 46.50 | 8.71 | 7.13 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,631.5909 | 1,635.3787 | 1,634.3577 | 1,633.2397 | 1,633.6417 |
Difference | 3.7878 | 2.7669 | 1.6488 | 2.7345 |
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 |
Nebraska | 133 | 3,105 | 1,505 | 215 | 285 | 48.47 | 14.4 | 10.9 | 2,507 | 882 | 124 | 296 | 64.82 | 20.2 | 8.5 |
Minnesota | 107 | 2,570 | 1,191 | 140 | 143 | 46.34 | 18.4 | 18.0 | 2,124 | 716 | 93 | 189 | 66.29 | 22.8 | 11.2 |
Penn St. | 118 | 2,779 | 1,273 | 155 | 239 | 45.81 | 17.9 | 11.6 | 2,329 | 800 | 82 | 245 | 65.65 | 28.4 | 9.5 |
Illinois | 132 | 3,090 | 1,445 | 216 | 311 | 46.76 | 14.3 | 9.9 | 2,620 | 936 | 130 | 228 | 64.28 | 20.2 | 11.5 |
Wisconsin | 117 | 2,715 | 1,225 | 147 | 225 | 45.12 | 18.5 | 12.1 | 2,333 | 813 | 119 | 190 | 65.15 | 19.6 | 12.3 |
Michigan | 122 | 2,798 | 1,236 | 159 | 224 | 44.17 | 17.6 | 12.5 | 2,563 | 989 | 110 | 234 | 61.41 | 23.3 | 11.0 |
Purdue | 130 | 2,893 | 1,292 | 171 | 257 | 44.66 | 16.9 | 11.3 | 2,714 | 1,104 | 156 | 207 | 59.32 | 17.4 | 13.1 |
Indiana | 120 | 2,619 | 1,110 | 122 | 193 | 42.38 | 21.5 | 13.6 | 2,559 | 1,052 | 118 | 203 | 58.89 | 21.7 | 12.6 |
Michigan St. | 121 | 2,672 | 1,165 | 176 | 242 | 43.60 | 15.2 | 11.0 | 2,623 | 1,114 | 169 | 237 | 57.53 | 15.5 | 11.1 |
Maryland | 114 | 2,512 | 1,099 | 156 | 211 | 43.75 | 16.1 | 11.9 | 2,474 | 1,056 | 141 | 217 | 57.32 | 17.5 | 11.4 |
Iowa | 121 | 2,593 | 1,068 | 121 | 159 | 41.19 | 21.4 | 16.3 | 2,636 | 1,103 | 139 | 242 | 58.16 | 19.0 | 10.9 |
Northwestern | 116 | 2,473 | 1,036 | 151 | 202 | 41.89 | 16.4 | 12.2 | 2,586 | 1,144 | 168 | 218 | 55.76 | 15.4 | 11.9 |
Ohio St. | 122 | 2,538 | 984 | 173 | 274 | 38.77 | 14.7 | 9.3 | 2,710 | 1,161 | 179 | 227 | 57.16 | 15.1 | 11.9 |
Rutgers | 114 | 2,298 | 873 | 139 | 258 | 37.99 | 16.5 | 8.9 | 2,644 | 1,252 | 203 | 189 | 52.65 | 13.0 | 14.0 |
Conference Average | 121 | 2,690 | 1,179 | 160 | 230 | 43.64 | 17.1 | 12.1 | 2,530 | 1,009 | 138 | 223 | 60.31 | 19.2 | 11.5 |
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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 |
84.93 |
2018-11-23 | University Park, Pa. |
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GAME |
84.54 |
2018-10-27 | Lincoln, Nebraska |
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GAME |
82.95 |
2018-10-13 | Madison, Wis. |
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GAME |
82.34 |
2018-11-10 | Ann Arbor, Mich. |
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GAME |
81.97 |
2018-10-19 | Champaign, Ill. |
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GAME |
81.93 |
2018-10-13 | University Park, Pa. |
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GAME |
81.88 |
2018-10-20 | Minneapolis, MN |
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GAME |
81.04 |
2018-09-23 | Iowa City, Iowa |
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GAME |
80.92 |
2018-11-10 | Champaign, Ill. |
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GAME |
80.73 |
2018-12-13 | Minneapolis, MN |
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Name | Team | Role |
---|---|---|
Mikaela Foecke | Nebraska | A |
Taylor Morgan | Minnesota | A |
Dana Rettke | Wisconsin | A |
Stephanie Samedy | Minnesota | A |
CC McGraw | Minnesota | D |
Jordyn Poulter | Illinois | S |
Samantha Swenson | Minnesota | S |
Name | Team | Role |
---|---|---|
Kaitlyn Hord | Penn St. | A |
Jacqueline Quade | Illinois | A |
Carly Skjodt | Michigan | A |
Lauren Stivrins | Nebraska | A |
Kendall White | Penn St. | D |
Nicklin Hames | Nebraska | S |
Sydney Hilley | Wisconsin | S |
Rank | Name | Team |
---|---|---|
1 | Jordyn Poulter | Illinois |
2 | Stephanie Samedy | Minnesota |
3 | Mikaela Foecke | Nebraska |
4 | Samantha Swenson | Minnesota |
5 | Sydney Hilley | Wisconsin |
Rank | Name | Team |
---|---|---|
1 | Stephanie Samedy | Minnesota |
2 | Mikaela Foecke | Nebraska |
3 | Carly Skjodt | Michigan |
4 | Dana Rettke | Wisconsin |
5 | Jacqueline Quade | Illinois |
Rank | Name | Team |
---|---|---|
1 | Jordyn Poulter | Illinois |
2 | Samantha Swenson | Minnesota |
3 | Sydney Hilley | Wisconsin |
4 | Nicklin Hames | Nebraska |
5 | Bryanna Weiskircher | Penn St. |
Rank | Name | Team |
---|---|---|
1 | CC McGraw | Minnesota |
2 | Kendall White | Penn St. |
3 | Kenzie Maloney | Nebraska |
4 | Morgan O'Brien | Illinois |
5 | Jenna Lerg | Michigan |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Jordyn Poulter | Illinois | 35.8057 |
2 | Carly Skjodt | Michigan | 33.3986 |
3 | Mikaela Foecke | Nebraska | 30.8430 |
4 | Sherridan Atkinson | Purdue | 30.3199 |
5 | Nicklin Hames | Nebraska | 29.3787 |
6 | Sydney Hilley | Wisconsin | 27.5145 |
7 | Mackenzi Welsh | Michigan | 26.2748 |
8 | Jacqueline Quade | Illinois | 26.1229 |
9 | Stephanie Samedy | Minnesota | 25.4055 |
10 | Bryanna Weiskircher | Penn St. | 25.2714 |
Rk. | Name | Team | OWPA |
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1 | Carly Skjodt | Michigan | 22.3318 |
2 | Jordyn Poulter | Illinois | 22.2267 |
3 | Sherridan Atkinson | Purdue | 21.6644 |
4 | Mikaela Foecke | Nebraska | 18.6164 |
5 | Sydney Hilley | Wisconsin | 18.1730 |
6 | Jacqueline Quade | Illinois | 17.4751 |
7 | Hayley Bush | Purdue | 17.4628 |
8 | Samantha Swenson | Minnesota | 16.8602 |
9 | Mackenzi Welsh | Michigan | 16.8398 |
10 | Nicklin Hames | Nebraska | 16.4195 |
Rk. | Name | Team | DWPA |
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1 | Molly Kelly | Iowa | 20.0681 |
2 | Jenna Lerg | Michigan | 19.5411 |
3 | Morgan O'Brien | Illinois | 18.1641 |
4 | Bayli Lebo | Indiana | 17.1949 |
5 | Kendall White | Penn St. | 17.1038 |
6 | Allegra Rivas | Maryland | 16.4486 |
7 | Brooke Peters | Purdue | 15.8421 |
8 | Kenzie Maloney | Nebraska | 15.7896 |
9 | Tiffany Clark | Wisconsin | 15.2164 |
10 | Jamye Cox | Michigan St. | 13.7794 |
Rk. | Name | Team | WPA/S |
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1 | Carly Skjodt | Michigan | 0.2738 |
2 | Jordyn Poulter | Illinois | 0.2713 |
3 | Stephanie Samedy | Minnesota | 0.2467 |
4 | Sydney Hilley | Wisconsin | 0.2352 |
5 | Sherridan Atkinson | Purdue | 0.2332 |
6 | Samantha Swenson | Minnesota | 0.2329 |
7 | Mikaela Foecke | Nebraska | 0.2319 |
8 | Gabrielle Orr | Iowa | 0.2251 |
9 | Nicklin Hames | Nebraska | 0.2209 |
10 | Mackenzi Welsh | Michigan | 0.2208 |
Rk. | Name | Team | OWPA/S |
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1 | Carly Skjodt | Michigan | 0.1830 |
2 | Jordyn Poulter | Illinois | 0.1684 |
3 | Sherridan Atkinson | Purdue | 0.1666 |
4 | Samantha Swenson | Minnesota | 0.1576 |
5 | Sydney Hilley | Wisconsin | 0.1553 |
6 | Mackenzi Welsh | Michigan | 0.1415 |
7 | Mikaela Foecke | Nebraska | 0.1400 |
8 | Bryanna Weiskircher | Penn St. | 0.1398 |
9 | Gabrielle Orr | Iowa | 0.1386 |
10 | Dana Rettke | Wisconsin | 0.1348 |
Rk. | Name | Team | DWPA/S |
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1 | Molly Kelly | Iowa | 0.1659 |
2 | Jenna Lerg | Michigan | 0.1602 |
3 | Bayli Lebo | Indiana | 0.1457 |
4 | Kendall White | Penn St. | 0.1449 |
5 | Allegra Rivas | Maryland | 0.1443 |
6 | Morgan O'Brien | Illinois | 0.1376 |
7 | Brooke Peters | Purdue | 0.1331 |
8 | Tiffany Clark | Wisconsin | 0.1301 |
9 | Jamye Cox | Michigan St. | 0.1264 |
10 | Kenzie Maloney | Nebraska | 0.1187 |
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.