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. |
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1st | Towson | 1,662.6427 | 1,632.1094 | 1,647.3053 | 51.40 | 63.50 | 0.112 |
2nd | James Madison | 1,618.3359 | 1,583.3978 | 1,600.7715 | 47.17 | 55.25 | 0.076 |
3rd | Hofstra | 1,566.0991 | 1,535.8928 | 1,550.9224 | 44.31 | 51.72 | 0.004 |
4th | Northeastern | 1,552.6877 | 1,515.8471 | 1,534.1568 | 43.03 | 56.29 | -0.015 |
5th | Delaware | 1,534.2373 | 1,505.2674 | 1,519.6833 | 43.99 | 52.87 | -0.018 |
6th | UNCW | 1,517.7998 | 1,486.4491 | 1,502.0426 | 43.84 | 51.19 | -0.054 |
7th | Col. of Charleston | 1,517.9293 | 1,483.7839 | 1,500.7595 | 41.93 | 52.41 | -0.047 |
8th | Elon | 1,512.9001 | 1,476.3156 | 1,494.4959 | 42.13 | 51.92 | -0.057 |
9th | William & Mary | 1,445.5656 | 1,413.9462 | 1,429.6685 | 37.78 | 21.87 | -0.102 |
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% |
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1st | Towson | 0.2684 | 40.44 | 13.60 | 37.57 | 44.01 | 6.03 | 5.77 |
2nd | James Madison | 0.2480 | 38.46 | 13.66 | 34.49 | 45.95 | 4.62 | 5.54 |
3rd | Hofstra | 0.2227 | 38.03 | 15.76 | 35.00 | 44.83 | 6.77 | 7.19 |
4th | Northeastern | 0.2167 | 37.79 | 16.12 | 35.36 | 46.34 | 6.62 | 6.82 |
5th | Delaware | 0.2150 | 37.63 | 16.12 | 35.14 | 46.16 | 6.17 | 7.08 |
6th | Elon | 0.1783 | 34.22 | 16.39 | 32.03 | 50.34 | 6.82 | 5.47 |
7th | UNCW | 0.1706 | 32.39 | 15.33 | 29.77 | 54.18 | 5.93 | 7.11 |
8th | William & Mary | 0.1653 | 33.79 | 17.26 | 30.93 | 51.70 | 8.63 | 10.36 |
9th | Col. of Charleston | 0.1617 | 32.23 | 16.05 | 30.51 | 53.23 | 5.50 | 4.86 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Towson | 0.1561 | 31.63 | 16.02 | 29.85 | 53.76 | 6.99 | 5.97 |
2nd | James Madison | 0.1716 | 33.50 | 16.34 | 30.27 | 48.87 | 7.95 | 5.55 |
3rd | Col. of Charleston | 0.2083 | 35.44 | 14.60 | 33.34 | 51.24 | 5.61 | 6.20 |
4th | Hofstra | 0.2184 | 36.06 | 14.22 | 32.83 | 49.34 | 4.22 | 5.32 |
5th | UNCW | 0.2249 | 36.66 | 14.17 | 34.20 | 47.18 | 5.66 | 6.42 |
6th | Northeastern | 0.2320 | 37.01 | 13.81 | 34.09 | 49.55 | 4.97 | 6.96 |
7th | Delaware | 0.2326 | 37.13 | 13.86 | 34.19 | 47.75 | 5.95 | 7.72 |
8th | Elon | 0.2350 | 37.77 | 14.27 | 35.39 | 46.93 | 5.85 | 6.92 |
9th | William & Mary | 0.2669 | 41.21 | 14.52 | 38.39 | 44.44 | 6.09 | 6.61 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,531.0896 | 1,528.9760 | 1,521.5129 | 1,518.6276 | 1,525.0515 |
Difference | -2.1135 | -9.5766 | -12.4620 | -8.0507 |
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 |
Towson | 105 | 2,324 | 1,287 | 145 | 165 | 55.38 | 16.0 | 14.1 | 1,699 | 607 | 118 | 177 | 64.27 | 14.4 | 9.6 |
Delaware | 106 | 2,327 | 1,194 | 173 | 222 | 51.31 | 13.5 | 10.5 | 2,102 | 966 | 154 | 180 | 54.04 | 13.6 | 11.7 |
James Madison | 86 | 1,972 | 972 | 105 | 200 | 49.29 | 18.8 | 9.9 | 1,844 | 832 | 102 | 182 | 54.88 | 18.1 | 10.1 |
Northeastern | 108 | 2,459 | 1,160 | 170 | 228 | 47.17 | 14.5 | 10.8 | 2,289 | 991 | 152 | 224 | 56.71 | 15.1 | 10.2 |
Hofstra | 111 | 2,460 | 1,198 | 170 | 238 | 48.70 | 14.5 | 10.3 | 2,388 | 1,135 | 130 | 196 | 52.47 | 18.4 | 12.2 |
Elon | 128 | 2,808 | 1,344 | 160 | 226 | 47.86 | 17.6 | 12.4 | 2,767 | 1,294 | 181 | 228 | 53.24 | 15.3 | 12.1 |
UNCW | 117 | 2,333 | 1,114 | 185 | 241 | 47.75 | 12.6 | 9.7 | 2,362 | 1,123 | 151 | 259 | 52.46 | 15.6 | 9.1 |
Col. of Charleston | 102 | 2,191 | 992 | 102 | 147 | 45.28 | 21.5 | 14.9 | 2,299 | 1,099 | 139 | 192 | 52.20 | 16.5 | 12.0 |
William & Mary | 100 | 952 | 378 | 118 | 176 | 39.71 | 8.1 | 5.4 | 2,449 | 2,050 | 181 | 192 | 16.29 | 13.5 | 12.8 |
Conference Average | 107 | 2,203 | 1,071 | 148 | 205 | 48.05 | 15.2 | 10.9 | 2,244 | 1,122 | 145 | 203 | 50.73 | 15.6 | 11.1 |
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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 |
75.34 |
2019-11-22 |
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GAME |
74.46 |
2019-11-22 | Hempstead, NY |
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GAME |
73.94 |
2019-11-01 | Towson, Md. |
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GAME |
73.35 |
2019-11-10 |
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GAME |
73.29 |
2019-11-08 | Charleston, S.C. |
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GAME |
73.00 |
2019-10-18 |
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GAME |
72.50 |
2019-10-12 | Elon, N.C. |
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GAME |
72.44 |
2019-10-27 | Charleston, S.C. |
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GAME |
71.90 |
2019-10-25 | Charleston, S.C. |
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GAME |
71.49 |
2019-10-13 |
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Name | Team | Role |
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Sophia Davis | James Madison | A |
Olivia Finckel | Towson | A |
Silvia Grassini | Towson | A |
Emily Jarome | Towson | A |
Camryn Allen | Towson | D |
Sarah Martin | James Madison | S |
Marrisa Wonders | Towson | S |
Name | Team | Role |
---|---|---|
Maria Bellinger | Delaware | A |
Briley Brind'Amour | James Madison | A |
Annie Ertz | Towson | A |
M'Kaela White | James Madison | A |
Lydia Wiers | Towson | A |
Savannah Marshall | James Madison | D |
Luisa Sydlik | Hofstra | S |
Rank | Name | Team |
---|---|---|
1 | Marrisa Wonders | Towson |
2 | Sarah Martin | James Madison |
3 | Luisa Sydlik | Hofstra |
4 | Olivia Finckel | Towson |
5 | Emily Jarome | Towson |
Rank | Name | Team |
---|---|---|
1 | Olivia Finckel | Towson |
2 | Emily Jarome | Towson |
3 | Sophia Davis | James Madison |
4 | Maria Bellinger | Delaware |
5 | Annie Ertz | Towson |
Rank | Name | Team |
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1 | Marrisa Wonders | Towson |
2 | Sarah Martin | James Madison |
3 | Luisa Sydlik | Hofstra |
4 | Ezgi Basaranlar | Delaware |
5 | Samantha Shupe | Northeastern |
Rank | Name | Team |
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1 | Camryn Allen | Towson |
2 | Savannah Marshall | James Madison |
3 | Logan Manusky | Col. of Charleston |
4 | Juliana Vaz | Hofstra |
5 | Andie Hanus | Delaware |
Rk. | Name | Team | WPA |
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1 | Luisa Sydlik | Hofstra | 23.5208 |
2 | Marrisa Wonders | Towson | 22.3000 |
3 | Leah Daniel | Elon | 20.3932 |
4 | Brynn Montgomery | UNCW | 19.2991 |
5 | Maria Bellinger | Delaware | 19.0390 |
6 | Samantha Shupe | Northeastern | 17.5928 |
7 | Laura Masciullo | Hofstra | 17.0363 |
8 | Ezgi Basaranlar | Delaware | 16.9212 |
9 | Haylie Clark | Elon | 16.5674 |
10 | Logan Manusky | Col. of Charleston | 16.4660 |
Rk. | Name | Team | OWPA |
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1 | Luisa Sydlik | Hofstra | 15.6278 |
2 | Leah Daniel | Elon | 14.3610 |
3 | Marrisa Wonders | Towson | 13.8059 |
4 | Maria Bellinger | Delaware | 12.7306 |
5 | Samantha Shupe | Northeastern | 11.0433 |
6 | Sarah Martin | James Madison | 11.0344 |
7 | Brynn Montgomery | UNCW | 11.0244 |
8 | Laura Masciullo | Hofstra | 10.8937 |
9 | Ezgi Basaranlar | Delaware | 10.5498 |
10 | Olivia Finckel | Towson | 9.9429 |
Rk. | Name | Team | DWPA |
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1 | Logan Manusky | Col. of Charleston | 16.1171 |
2 | Juliana Vaz | Hofstra | 15.6607 |
3 | Andie Hanus | Delaware | 15.3118 |
4 | Anna Weissman | UNCW | 14.2414 |
5 | Clare Lund | Northeastern | 12.3098 |
6 | Savannah Marshall | James Madison | 10.9410 |
7 | Lauren Freed | Col. of Charleston | 10.7252 |
8 | Bella Seman | Elon | 10.7219 |
9 | Camryn Allen | Towson | 10.6978 |
10 | Jordan Gower | Elon | 9.4975 |
Rk. | Name | Team | WPA/S |
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1 | Marrisa Wonders | Towson | 0.2506 |
2 | Luisa Sydlik | Hofstra | 0.2119 |
3 | Maria Bellinger | Delaware | 0.1963 |
4 | Sarah Martin | James Madison | 0.1917 |
5 | Ezgi Basaranlar | Delaware | 0.1763 |
6 | Brynn Montgomery | UNCW | 0.1754 |
7 | Emily Jarome | Towson | 0.1727 |
8 | Leah Daniel | Elon | 0.1714 |
9 | Samantha Shupe | Northeastern | 0.1676 |
10 | Logan Manusky | Col. of Charleston | 0.1663 |
Rk. | Name | Team | OWPA/S |
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1 | Marrisa Wonders | Towson | 0.1551 |
2 | Luisa Sydlik | Hofstra | 0.1408 |
3 | Sarah Martin | James Madison | 0.1362 |
4 | Maria Bellinger | Delaware | 0.1312 |
5 | Leah Daniel | Elon | 0.1207 |
6 | Olivia Finckel | Towson | 0.1130 |
7 | Ezgi Basaranlar | Delaware | 0.1099 |
8 | Sophia Davis | James Madison | 0.1052 |
9 | Samantha Shupe | Northeastern | 0.1052 |
10 | Brynn Montgomery | UNCW | 0.1002 |
Rk. | Name | Team | DWPA/S |
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1 | Logan Manusky | Col. of Charleston | 0.1628 |
2 | Andie Hanus | Delaware | 0.1579 |
3 | Juliana Vaz | Hofstra | 0.1424 |
4 | Anna Weissman | UNCW | 0.1331 |
5 | Savannah Marshall | James Madison | 0.1272 |
6 | Camryn Allen | Towson | 0.1202 |
7 | Clare Lund | Northeastern | 0.1172 |
8 | Bella Seman | Elon | 0.1117 |
9 | Lauren Freed | Col. of Charleston | 0.1083 |
10 | Marrisa Wonders | Towson | 0.0954 |
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.