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 | Wisconsin | 1,692.8540 | 1,695.6549 | 1,694.2539 | 59.14 | 67.33 | 0.317 |
2nd | Nebraska | 1,689.6813 | 1,688.0856 | 1,688.8833 | 60.02 | 62.25 | 0.266 |
3rd | Minnesota | 1,656.4012 | 1,660.4981 | 1,658.4484 | 59.02 | 63.17 | 0.268 |
4th | Ohio St. | 1,648.7714 | 1,653.1217 | 1,650.9451 | 57.39 | 65.68 | 0.264 |
5th | Purdue | 1,639.8184 | 1,642.1788 | 1,640.9982 | 58.81 | 61.82 | 0.257 |
6th | Penn St. | 1,616.5873 | 1,622.6439 | 1,619.6128 | 54.26 | 63.88 | 0.234 |
7th | Illinois | 1,617.2476 | 1,619.2435 | 1,618.2452 | 58.35 | 59.34 | 0.203 |
8th | Michigan | 1,602.8673 | 1,605.5166 | 1,604.1914 | 58.54 | 60.39 | 0.211 |
9th | Northwestern | 1,531.9291 | 1,535.8454 | 1,533.8860 | 52.59 | 57.75 | 0.141 |
10th | Maryland | 1,523.2095 | 1,527.1597 | 1,525.1833 | 53.90 | 57.35 | 0.123 |
11th | Michigan St. | 1,521.1832 | 1,527.0096 | 1,524.0936 | 52.67 | 57.58 | 0.144 |
12th | Iowa | 1,491.2864 | 1,494.0325 | 1,492.6588 | 49.64 | 57.60 | 0.083 |
13th | Indiana | 1,476.4861 | 1,482.1143 | 1,479.2976 | 51.98 | 54.49 | 0.074 |
14th | Rutgers | 1,421.5597 | 1,429.4237 | 1,425.4862 | 50.26 | 51.54 | 0.048 |
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 | Wisconsin | 0.3853 | 48.54 | 10.01 | 44.50 | 38.43 | 3.81 | 7.93 |
2nd | Penn St. | 0.3468 | 45.02 | 10.34 | 41.35 | 43.26 | 3.69 | 6.20 |
3rd | Ohio St. | 0.3457 | 46.42 | 11.85 | 42.78 | 39.64 | 4.76 | 6.91 |
4th | Purdue | 0.3374 | 44.36 | 10.62 | 40.12 | 45.16 | 2.80 | 6.90 |
5th | Michigan | 0.3295 | 43.27 | 10.32 | 38.63 | 44.94 | 3.85 | 8.37 |
6th | Minnesota | 0.3279 | 42.44 | 9.66 | 39.06 | 45.47 | 3.70 | 7.46 |
7th | Nebraska | 0.3119 | 43.00 | 11.81 | 39.38 | 43.90 | 4.58 | 8.11 |
8th | Illinois | 0.3103 | 43.48 | 12.45 | 39.43 | 43.93 | 3.86 | 9.86 |
9th | Northwestern | 0.2954 | 44.01 | 14.46 | 40.12 | 40.99 | 5.18 | 7.98 |
10th | Michigan St. | 0.2823 | 42.96 | 14.73 | 40.17 | 44.09 | 4.52 | 8.24 |
11th | Iowa | 0.2712 | 41.08 | 13.95 | 37.47 | 44.82 | 5.49 | 7.73 |
12th | Maryland | 0.2524 | 37.63 | 12.39 | 34.25 | 50.21 | 4.19 | 7.62 |
13th | Indiana | 0.2415 | 37.84 | 13.70 | 34.37 | 46.32 | 5.45 | 6.80 |
14th | Rutgers | 0.2373 | 36.98 | 13.25 | 33.39 | 49.01 | 5.88 | 7.51 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Nebraska | 0.0463 | 23.55 | 18.92 | 22.44 | 60.59 | 8.38 | 3.05 |
2nd | Minnesota | 0.0602 | 25.11 | 19.09 | 23.67 | 58.87 | 8.10 | 4.25 |
3rd | Wisconsin | 0.0682 | 26.55 | 19.73 | 24.58 | 55.64 | 8.83 | 3.37 |
4th | Purdue | 0.0807 | 27.77 | 19.70 | 25.61 | 56.30 | 9.34 | 3.69 |
5th | Ohio St. | 0.0817 | 26.76 | 18.59 | 24.46 | 56.46 | 8.49 | 2.94 |
6th | Illinois | 0.1072 | 28.69 | 17.98 | 25.94 | 54.76 | 7.84 | 3.80 |
7th | Penn St. | 0.1132 | 29.53 | 18.21 | 28.02 | 54.08 | 9.10 | 3.55 |
8th | Michigan | 0.1182 | 29.95 | 18.13 | 27.34 | 54.35 | 7.81 | 4.93 |
9th | Maryland | 0.1293 | 30.79 | 17.86 | 27.79 | 53.44 | 9.02 | 5.57 |
10th | Michigan St. | 0.1383 | 32.85 | 19.03 | 30.95 | 50.98 | 8.32 | 5.51 |
11th | Northwestern | 0.1547 | 32.92 | 17.45 | 29.97 | 51.30 | 7.69 | 5.61 |
12th | Indiana | 0.1674 | 33.01 | 16.28 | 30.17 | 51.42 | 6.93 | 4.86 |
13th | Iowa | 0.1880 | 34.28 | 15.47 | 31.46 | 49.56 | 5.50 | 5.38 |
14th | Rutgers | 0.1892 | 34.83 | 15.90 | 31.28 | 49.68 | 6.91 | 8.03 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,582.5846 | 1,586.3703 | 1,586.8263 | 1,589.6444 | 1,586.3564 |
Difference | 3.7857 | 4.2417 | 7.0599 | 5.0291 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Wisconsin | 122 | 2,735 | 1,391 | 178 | 258 | 50.86 | 15.4 | 10.6 | 2,259 | 900 | 112 | 219 | 60.16 | 20.2 | 10.3 |
Ohio St. | 114 | 2,588 | 1,303 | 148 | 249 | 50.35 | 17.5 | 10.4 | 2,181 | 874 | 91 | 241 | 59.93 | 24.0 | 9.0 |
Nebraska | 121 | 2,739 | 1,406 | 181 | 241 | 51.33 | 15.1 | 11.4 | 2,348 | 1,050 | 105 | 267 | 55.28 | 22.4 | 8.8 |
Purdue | 126 | 2,682 | 1,365 | 148 | 221 | 50.90 | 18.1 | 12.1 | 2,392 | 1,071 | 130 | 245 | 55.23 | 18.4 | 9.8 |
Minnesota | 117 | 2,665 | 1,318 | 155 | 192 | 49.46 | 17.2 | 13.9 | 2,415 | 1,054 | 129 | 227 | 56.36 | 18.7 | 10.6 |
Michigan | 109 | 2,181 | 1,110 | 169 | 265 | 50.89 | 12.9 | 8.2 | 2,038 | 938 | 142 | 229 | 53.97 | 14.4 | 8.9 |
Illinois | 127 | 2,857 | 1,456 | 236 | 288 | 50.96 | 12.1 | 9.9 | 2,674 | 1,265 | 128 | 245 | 52.69 | 20.9 | 10.9 |
Penn St. | 119 | 2,460 | 1,141 | 140 | 264 | 46.38 | 17.6 | 9.3 | 2,285 | 979 | 122 | 230 | 57.16 | 18.7 | 9.9 |
Maryland | 112 | 2,110 | 1,050 | 160 | 172 | 49.76 | 13.2 | 12.3 | 2,021 | 952 | 148 | 257 | 52.90 | 13.7 | 7.9 |
Northwestern | 125 | 2,492 | 1,141 | 175 | 318 | 45.79 | 14.2 | 7.8 | 2,577 | 1,234 | 188 | 250 | 52.12 | 13.7 | 10.3 |
Michigan St. | 105 | 2,174 | 996 | 157 | 281 | 45.81 | 13.8 | 7.7 | 2,206 | 1,063 | 150 | 226 | 51.81 | 14.7 | 9.8 |
Indiana | 116 | 2,205 | 1,024 | 136 | 273 | 46.44 | 16.2 | 8.1 | 2,421 | 1,231 | 148 | 263 | 49.15 | 16.4 | 9.2 |
Iowa | 107 | 2,155 | 920 | 142 | 229 | 42.69 | 15.2 | 9.4 | 2,406 | 1,165 | 168 | 235 | 51.58 | 14.3 | 10.2 |
Rutgers | 102 | 1,927 | 882 | 132 | 208 | 45.77 | 14.6 | 9.3 | 2,171 | 1,145 | 199 | 216 | 47.26 | 10.9 | 10.1 |
Conference Average | 116 | 2,426 | 1,179 | 161 | 247 | 48.39 | 15.2 | 10.0 | 2,314 | 1,066 | 140 | 239 | 53.97 | 17.2 | 9.7 |
|
|
|
Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
---|---|---|---|---|---|---|---|---|---|---|
GAME |
82.36 |
2021-11-21 |
|
|
|
|
|
|
|
|
GAME |
81.61 |
2021-10-23 |
|
|
|
|
|
|
|
|
GAME |
81.35 |
2021-10-30 |
|
|
|
|
|
|
|
|
GAME |
81.22 |
2021-12-18 | Columbus, OH |
|
|
|
|
|
|
|
GAME |
79.13 |
2021-10-01 |
|
|
|
|
|
|
|
|
GAME |
78.18 |
2021-11-26 |
|
|
|
|
|
|
||
GAME |
78.07 |
2021-10-31 |
|
|
|
|
|
|
||
GAME |
77.49 |
2021-10-30 |
|
|
|
|
|
|
||
GAME |
77.26 |
2021-10-17 |
|
|
|
|
|
|
|
|
GAME |
77.23 |
2021-11-26 |
|
|
|
|
|
|
Name | Team | Role |
---|---|---|
Gabby Gonzales | Ohio St. | A |
Kaitlyn Hord | Penn St. | A |
Dana Rettke | Wisconsin | A |
Stephanie Samedy | Minnesota | A |
Jenna Wenaas | Minnesota | A |
Lauren Barnes | Wisconsin | D |
Nicklin Hames | Nebraska | S |
Sydney Hilley | Wisconsin | S |
Name | Team | Role |
---|---|---|
Madi Kubik | Nebraska | A |
Caitlyn Newton | Purdue | A |
Jonni Parker | Penn St. | A |
Rylee Rader | Ohio St. | A |
Devyn Robinson | Wisconsin | A |
Lexi Rodriguez | Nebraska | D |
Gabby Blossom | Penn St. | S |
Melani Shaffmaster | Minnesota | S |
Rank | Name | Team |
---|---|---|
1 | Stephanie Samedy | Minnesota |
2 | Sydney Hilley | Wisconsin |
3 | Nicklin Hames | Nebraska |
4 | Gabby Blossom | Penn St. |
5 | Melani Shaffmaster | Minnesota |
Rank | Name | Team |
---|---|---|
1 | Stephanie Samedy | Minnesota |
2 | Dana Rettke | Wisconsin |
3 | Jenna Wenaas | Minnesota |
4 | Gabby Gonzales | Ohio St. |
5 | Jonni Parker | Penn St. |
Rank | Name | Team |
---|---|---|
1 | Sydney Hilley | Wisconsin |
2 | Nicklin Hames | Nebraska |
3 | Gabby Blossom | Penn St. |
4 | Melani Shaffmaster | Minnesota |
5 | Hayley Bush | Purdue |
Rank | Name | Team |
---|---|---|
1 | Lauren Barnes | Wisconsin |
2 | Lexi Rodriguez | Nebraska |
3 | CC McGraw | Minnesota |
4 | Kylie Murr | Ohio St. |
5 | Jena Otec | Purdue |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Stephanie Samedy | Minnesota | 32.6956 |
2 | Gabby Blossom | Penn St. | 28.5043 |
3 | Sydney Hilley | Wisconsin | 26.8694 |
4 | Diana Brown | Illinois | 25.8390 |
5 | Melani Shaffmaster | Minnesota | 25.6842 |
6 | Nicklin Hames | Nebraska | 24.9044 |
7 | Hayley Bush | Purdue | 23.6192 |
8 | Jenna Wenaas | Minnesota | 21.2433 |
9 | Alex Rousseau | Northwestern | 20.7358 |
10 | Jonni Parker | Penn St. | 20.7228 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Stephanie Samedy | Minnesota | 18.0208 |
2 | Gabby Blossom | Penn St. | 16.3809 |
3 | Diana Brown | Illinois | 15.5662 |
4 | Sydney Hilley | Wisconsin | 15.5661 |
5 | Melani Shaffmaster | Minnesota | 14.8179 |
6 | Hayley Bush | Purdue | 14.3995 |
7 | Alex Rousseau | Northwestern | 14.0165 |
8 | Dana Rettke | Wisconsin | 13.2589 |
9 | Nicklin Hames | Nebraska | 12.9438 |
10 | Kaitlyn Hord | Penn St. | 12.9068 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Taylor Kuper | Illinois | 17.8565 |
2 | Jenna Hampton | Penn St. | 16.7677 |
3 | Jena Otec | Purdue | 16.5995 |
4 | Lauren Barnes | Wisconsin | 15.9775 |
5 | CC McGraw | Minnesota | 15.9496 |
6 | Stephanie Samedy | Minnesota | 14.6748 |
7 | Paula Cerame | Indiana | 14.5519 |
8 | Lexi Rodriguez | Nebraska | 14.4305 |
9 | Kylie Murr | Ohio St. | 14.2353 |
10 | Milan Gomillion | Maryland | 13.7042 |
Rk. | Name | Team | WPA/S |
---|---|---|---|
1 | Stephanie Samedy | Minnesota | 0.2868 |
2 | Gabby Blossom | Penn St. | 0.2689 |
3 | Sydney Hilley | Wisconsin | 0.2357 |
4 | Nicklin Hames | Nebraska | 0.2264 |
5 | Melani Shaffmaster | Minnesota | 0.2214 |
6 | Hayley Bush | Purdue | 0.2147 |
7 | Diana Brown | Illinois | 0.2135 |
8 | Inna Balyko | Rutgers | 0.2007 |
9 | Jonni Parker | Penn St. | 0.1955 |
10 | Mac Podraza | Ohio St. | 0.1949 |
Rk. | Name | Team | OWPA/S |
---|---|---|---|
1 | Stephanie Samedy | Minnesota | 0.1581 |
2 | Gabby Blossom | Penn St. | 0.1545 |
3 | Sydney Hilley | Wisconsin | 0.1365 |
4 | Alex Rousseau | Northwestern | 0.1310 |
5 | Hayley Bush | Purdue | 0.1309 |
6 | Diana Brown | Illinois | 0.1286 |
7 | Melani Shaffmaster | Minnesota | 0.1277 |
8 | Kaitlyn Hord | Penn St. | 0.1229 |
9 | Dana Rettke | Wisconsin | 0.1216 |
10 | Nicklin Hames | Nebraska | 0.1177 |
Rk. | Name | Team | DWPA/S |
---|---|---|---|
1 | Jenna Hampton | Penn St. | 0.1582 |
2 | Milan Gomillion | Maryland | 0.1557 |
3 | Jena Otec | Purdue | 0.1495 |
4 | Taylor Kuper | Illinois | 0.1476 |
5 | CC McGraw | Minnesota | 0.1437 |
6 | Lauren Barnes | Wisconsin | 0.1402 |
7 | Paula Cerame | Indiana | 0.1347 |
8 | Hannah Grant | Michigan | 0.1346 |
9 | Kylie Murr | Ohio St. | 0.1306 |
10 | Stephanie Samedy | Minnesota | 0.1287 |
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.