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 | South Dakota | 1,513.5062 | 1,520.7396 | 1,517.1186 | 52.51 | 53.94 | 0.092 |
2nd | Omaha | 1,497.2317 | 1,506.1584 | 1,501.6884 | 49.67 | 54.81 | 0.055 |
3rd | North Dakota St. | 1,476.1105 | 1,481.8528 | 1,478.9788 | 49.30 | 52.67 | 0.025 |
4th | Denver | 1,473.6940 | 1,484.2804 | 1,478.9777 | 50.74 | 52.13 | 0.061 |
5th | South Dakota St. | 1,469.3266 | 1,474.5515 | 1,471.9367 | 50.35 | 51.87 | 0.022 |
6th | North Dakota | 1,388.1498 | 1,394.0100 | 1,391.0768 | 46.74 | 47.21 | -0.060 |
7th | Oral Roberts | 1,373.9067 | 1,382.4331 | 1,378.1633 | 47.62 | 47.11 | -0.055 |
8th | St. Thomas (MN) | 1,341.5155 | 1,346.8845 | 1,344.1973 | 44.29 | 45.99 | -0.105 |
9th | Western Ill. | 1,264.8512 | 1,278.1105 | 1,271.4636 | 43.40 | 41.42 | -0.193 |
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 | South Dakota | 0.2699 | 39.69 | 12.69 | 37.02 | 46.83 | 5.00 | 6.95 |
2nd | North Dakota St. | 0.2506 | 39.38 | 14.32 | 36.05 | 45.16 | 5.41 | 5.78 |
3rd | Omaha | 0.2437 | 39.00 | 14.62 | 36.43 | 45.98 | 5.55 | 7.40 |
4th | South Dakota St. | 0.2278 | 36.12 | 13.34 | 33.17 | 49.59 | 5.06 | 6.52 |
5th | Denver | 0.2131 | 38.16 | 16.86 | 35.43 | 46.91 | 6.56 | 7.18 |
6th | Oral Roberts | 0.1681 | 32.31 | 15.50 | 29.57 | 52.63 | 5.75 | 7.26 |
7th | North Dakota | 0.1643 | 33.35 | 16.92 | 30.57 | 50.28 | 5.53 | 6.02 |
8th | St. Thomas (MN) | 0.1545 | 31.11 | 15.67 | 29.20 | 54.86 | 5.07 | 6.54 |
9th | Western Ill. | 0.1055 | 26.66 | 16.11 | 24.76 | 56.51 | 6.09 | 5.10 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Denver | 0.1525 | 33.22 | 17.98 | 30.76 | 50.03 | 8.25 | 5.34 |
2nd | South Dakota | 0.1776 | 33.34 | 15.58 | 30.82 | 52.29 | 7.12 | 7.19 |
3rd | Omaha | 0.1890 | 34.57 | 15.67 | 32.75 | 49.89 | 7.17 | 5.29 |
4th | South Dakota St. | 0.2057 | 35.33 | 14.76 | 32.59 | 49.45 | 5.69 | 6.31 |
5th | Oral Roberts | 0.2228 | 36.37 | 14.09 | 33.69 | 49.67 | 5.64 | 7.88 |
6th | North Dakota | 0.2238 | 37.04 | 14.66 | 33.83 | 47.95 | 5.73 | 7.18 |
7th | North Dakota St. | 0.2256 | 36.56 | 14.00 | 33.35 | 48.65 | 5.42 | 6.38 |
8th | St. Thomas (MN) | 0.2597 | 40.62 | 14.65 | 37.60 | 46.10 | 5.45 | 7.62 |
9th | Western Ill. | 0.2983 | 41.25 | 11.42 | 37.87 | 46.16 | 3.59 | 6.60 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,425.9557 | 1,435.0027 | 1,439.8267 | 1,447.3304 | 1,437.0289 |
Difference | 9.0470 | 13.8710 | 21.3747 | 14.7643 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
South Dakota | 128 | 2,895 | 1,529 | 192 | 210 | 52.82 | 15.1 | 13.8 | 2,578 | 1,210 | 186 | 241 | 53.06 | 13.9 | 10.7 |
North Dakota St. | 127 | 2,776 | 1,419 | 167 | 189 | 51.12 | 16.6 | 14.7 | 2,587 | 1,211 | 151 | 198 | 53.19 | 17.1 | 13.1 |
South Dakota St. | 131 | 2,827 | 1,435 | 183 | 227 | 50.76 | 15.4 | 12.5 | 2,703 | 1,296 | 167 | 230 | 52.05 | 16.2 | 11.8 |
Omaha | 117 | 2,608 | 1,273 | 192 | 268 | 48.81 | 13.6 | 9.7 | 2,440 | 1,131 | 125 | 214 | 53.65 | 19.5 | 11.4 |
Denver | 117 | 2,631 | 1,344 | 187 | 250 | 51.08 | 14.1 | 10.5 | 2,486 | 1,210 | 124 | 179 | 51.33 | 20.0 | 13.9 |
Oral Roberts | 113 | 2,294 | 1,113 | 158 | 190 | 48.52 | 14.5 | 12.1 | 2,533 | 1,349 | 187 | 153 | 46.74 | 13.5 | 16.6 |
North Dakota | 112 | 2,312 | 1,108 | 135 | 208 | 47.92 | 17.1 | 11.1 | 2,511 | 1,330 | 165 | 222 | 47.03 | 15.2 | 11.3 |
St. Thomas (MN) | 106 | 2,111 | 954 | 136 | 211 | 45.19 | 15.5 | 10.0 | 2,507 | 1,357 | 185 | 222 | 45.87 | 13.6 | 11.3 |
Western Ill. | 104 | 2,009 | 951 | 116 | 164 | 47.34 | 17.3 | 12.3 | 2,449 | 1,408 | 142 | 195 | 42.51 | 17.2 | 12.6 |
Conference Average | 117 | 2,496 | 1,236 | 163 | 213 | 49.28 | 15.5 | 11.8 | 2,533 | 1,278 | 159 | 206 | 49.49 | 16.3 | 12.5 |
|
|
|
Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
---|---|---|---|---|---|---|---|---|---|---|
GAME |
77.49 |
2022-11-24 | Omaha, NE |
|
|
|
|
|
|
|
GAME |
73.79 |
2022-11-10 |
|
|
|
|
|
|
|
|
GAME |
71.93 |
2022-09-27 |
|
|
|
|
|
|
|
|
GAME |
71.49 |
2022-11-12 |
|
|
|
|
|
|
|
|
GAME |
71.08 |
2022-10-20 |
|
|
|
|
|
|
||
GAME |
71.08 |
2022-11-01 |
|
|
|
|
|
|
|
|
GAME |
70.71 |
2022-10-15 |
|
|
|
|
|
|
||
GAME |
70.52 |
2022-09-24 |
|
|
|
|
|
|
|
|
GAME |
70.44 |
2022-10-22 |
|
|
|
|
|
|
||
GAME |
70.35 |
2022-11-01 |
|
|
|
|
|
|
Rank | Name | Team |
---|---|---|
1 | Elizabeth Juhnke | South Dakota |
2 | Crystal Burk | South Dakota St. |
3 | Shayla McCormick | Omaha |
4 | Kelley Johnson | North Dakota St. |
5 | Raegen Reilly | South Dakota St. |
Rank | Name | Team |
---|---|---|
1 | Elizabeth Juhnke | South Dakota |
2 | Crystal Burk | South Dakota St. |
3 | Shayla McCormick | Omaha |
4 | Syra Tanchin | North Dakota St. |
5 | Ali Hinze | North Dakota St. |
Rank | Name | Team |
---|---|---|
1 | Kelley Johnson | North Dakota St. |
2 | Raegen Reilly | South Dakota St. |
3 | Lorrin Poulter | Denver |
4 | Brooklyn Schram | South Dakota |
5 | Sami Clarkson | Omaha |
Rank | Name | Team |
---|---|---|
1 | Lolo Weideman | South Dakota |
2 | Jaiden Centeno | Omaha |
3 | Kortney Carney | North Dakota |
4 | Logan O'Brien | North Dakota St. |
5 | Karli Wenzel | Western Ill. |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Elizabeth Juhnke | South Dakota | 38.5913 |
2 | Crystal Burk | South Dakota St. | 35.0915 |
3 | Shayla McCormick | Omaha | 29.4005 |
4 | Raegen Reilly | South Dakota St. | 29.3396 |
5 | Kelley Johnson | North Dakota St. | 28.7928 |
6 | Syra Tanchin | North Dakota St. | 27.4605 |
7 | Ali Hinze | North Dakota St. | 24.5487 |
8 | Lorrin Poulter | Denver | 20.4040 |
9 | Lolo Weideman | South Dakota | 19.9563 |
10 | Kaia Dunford | Oral Roberts | 19.0235 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Elizabeth Juhnke | South Dakota | 24.3742 |
2 | Crystal Burk | South Dakota St. | 20.9336 |
3 | Raegen Reilly | South Dakota St. | 18.6487 |
4 | Kelley Johnson | North Dakota St. | 18.1290 |
5 | Syra Tanchin | North Dakota St. | 16.8892 |
6 | Shayla McCormick | Omaha | 15.8575 |
7 | Lorrin Poulter | Denver | 13.0201 |
8 | Michelle Glover | North Dakota St. | 11.9430 |
9 | Ali Hinze | North Dakota St. | 11.8796 |
10 | Sami Clarkson | Omaha | 11.4020 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Lolo Weideman | South Dakota | 17.7145 |
2 | Jaiden Centeno | Omaha | 15.1945 |
3 | Logan O'Brien | North Dakota St. | 14.3902 |
4 | Jadyn Mackovicka | South Dakota St. | 14.3273 |
5 | Elizabeth Juhnke | South Dakota | 14.2171 |
6 | Crystal Burk | South Dakota St. | 14.1579 |
7 | Shayla McCormick | Omaha | 13.5429 |
8 | Kortney Carney | North Dakota | 12.7951 |
9 | Ali Hinze | North Dakota St. | 12.6691 |
10 | Karli Wenzel | Western Ill. | 12.3946 |
Rk. | Name | Team | WPA/S |
---|---|---|---|
1 | Elizabeth Juhnke | South Dakota | 0.3039 |
2 | Crystal Burk | South Dakota St. | 0.2785 |
3 | Shayla McCormick | Omaha | 0.2579 |
4 | Raegen Reilly | South Dakota St. | 0.2329 |
5 | Kelley Johnson | North Dakota St. | 0.2322 |
6 | Syra Tanchin | North Dakota St. | 0.2233 |
7 | Ali Hinze | North Dakota St. | 0.2046 |
8 | Lorrin Poulter | Denver | 0.2000 |
9 | Brooklyn Schram | South Dakota | 0.1852 |
10 | Kaia Dunford | Oral Roberts | 0.1683 |
Rk. | Name | Team | OWPA/S |
---|---|---|---|
1 | Elizabeth Juhnke | South Dakota | 0.1919 |
2 | Crystal Burk | South Dakota St. | 0.1661 |
3 | Raegen Reilly | South Dakota St. | 0.1480 |
4 | Kelley Johnson | North Dakota St. | 0.1462 |
5 | Shayla McCormick | Omaha | 0.1391 |
6 | Syra Tanchin | North Dakota St. | 0.1373 |
7 | Lorrin Poulter | Denver | 0.1276 |
8 | Hailey Green | Denver | 0.1269 |
9 | Brooklyn Schram | South Dakota | 0.1253 |
10 | Michelle Glover | North Dakota St. | 0.1039 |
Rk. | Name | Team | DWPA/S |
---|---|---|---|
1 | Lolo Weideman | South Dakota | 0.1384 |
2 | Jaiden Centeno | Omaha | 0.1333 |
3 | Karli Wenzel | Western Ill. | 0.1305 |
4 | Carrie Rutledge | St. Thomas (MN) | 0.1301 |
5 | Jadyn Mackovicka | South Dakota St. | 0.1279 |
6 | Kortney Carney | North Dakota | 0.1242 |
7 | Shayla McCormick | Omaha | 0.1188 |
8 | Logan O'Brien | North Dakota St. | 0.1161 |
9 | Gianna Bartalo | Denver | 0.1149 |
10 | Crystal Burk | South Dakota St. | 0.1124 |
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.