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 | LIU Brooklyn | 1,448.1476 | 1,427.0098 | 1,437.5399 | 41.18 | 55.38 | -0.046 |
2nd | Bryant | 1,425.6969 | 1,402.5267 | 1,414.0643 | 39.38 | 55.71 | -0.070 |
3rd | Sacred Heart | 1,427.0450 | 1,401.1157 | 1,414.0209 | 39.22 | 54.09 | -0.070 |
4th | Central Conn. St. | 1,411.8444 | 1,400.6565 | 1,406.2393 | 39.91 | 53.83 | -0.053 |
5th | Robert Morris | 1,375.3743 | 1,357.8232 | 1,366.5706 | 37.93 | 51.39 | -0.091 |
6th | Saint Francis (PA) | 1,355.7097 | 1,337.6851 | 1,346.6672 | 36.73 | 50.41 | -0.132 |
7th | St. Francis Brooklyn | 1,326.4570 | 1,309.0863 | 1,317.7430 | 34.88 | 49.29 | -0.153 |
8th | Fairleigh Dickinson | 1,245.7245 | 1,219.3375 | 1,232.4604 | 31.30 | 43.25 | -0.249 |
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 | Central Conn. St. | 0.1618 | 31.06 | 14.88 | 29.49 | 54.41 | 6.81 | 5.69 |
2nd | Robert Morris | 0.1585 | 31.93 | 16.09 | 29.74 | 53.72 | 6.53 | 6.38 |
3rd | LIU Brooklyn | 0.1577 | 32.77 | 17.00 | 31.14 | 52.35 | 7.60 | 4.31 |
4th | Sacred Heart | 0.1574 | 34.10 | 18.37 | 31.48 | 48.31 | 8.55 | 5.75 |
5th | Bryant | 0.1541 | 33.61 | 18.19 | 31.62 | 49.54 | 7.66 | 4.69 |
6th | St. Francis Brooklyn | 0.1326 | 31.30 | 18.04 | 28.83 | 53.24 | 7.38 | 5.80 |
7th | Saint Francis (PA) | 0.1249 | 29.56 | 17.07 | 27.76 | 57.01 | 6.93 | 4.19 |
8th | Fairleigh Dickinson | 0.0585 | 23.64 | 17.78 | 22.30 | 63.06 | 5.86 | 3.61 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | LIU Brooklyn | 0.2038 | 35.55 | 15.17 | 33.13 | 50.14 | 5.35 | 5.81 |
2nd | Central Conn. St. | 0.2144 | 37.86 | 16.42 | 35.82 | 46.62 | 6.13 | 6.53 |
3rd | Bryant | 0.2245 | 35.64 | 13.20 | 33.43 | 51.43 | 3.66 | 5.38 |
4th | Sacred Heart | 0.2276 | 37.40 | 14.64 | 34.27 | 47.58 | 4.82 | 6.04 |
5th | Robert Morris | 0.2491 | 39.03 | 14.12 | 35.91 | 45.99 | 4.46 | 6.71 |
6th | Saint Francis (PA) | 0.2570 | 38.68 | 12.98 | 36.65 | 49.42 | 3.46 | 6.76 |
7th | St. Francis Brooklyn | 0.2860 | 41.07 | 12.47 | 37.91 | 45.56 | 3.74 | 8.89 |
8th | Fairleigh Dickinson | 0.3072 | 43.57 | 12.85 | 40.46 | 42.70 | 4.11 | 8.16 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,366.9132 | 1,377.5509 | 1,383.3745 | 1,386.4049 | 1,378.5609 |
Difference | 10.6377 | 16.4613 | 19.4917 | 15.5302 |
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 |
LIU Brooklyn | 91 | 2,060 | 938 | 102 | 132 | 45.53 | 20.2 | 15.6 | 1,972 | 840 | 111 | 187 | 57.40 | 17.8 | 10.5 |
Bryant | 140 | 3,114 | 1,381 | 173 | 181 | 44.35 | 18.0 | 17.2 | 2,970 | 1,236 | 143 | 249 | 58.38 | 20.8 | 11.9 |
Sacred Heart | 99 | 2,235 | 1,000 | 147 | 246 | 44.74 | 15.2 | 9.1 | 2,155 | 918 | 114 | 173 | 57.40 | 18.9 | 12.5 |
Central Conn. St. | 91 | 2,010 | 908 | 130 | 158 | 45.17 | 15.5 | 12.7 | 1,949 | 847 | 119 | 149 | 56.54 | 16.4 | 13.1 |
Robert Morris | 116 | 2,478 | 1,055 | 171 | 261 | 42.58 | 14.5 | 9.5 | 2,613 | 1,200 | 161 | 211 | 54.08 | 16.2 | 12.4 |
St. Francis Brooklyn | 104 | 2,195 | 934 | 155 | 202 | 42.55 | 14.2 | 10.9 | 2,325 | 1,077 | 198 | 229 | 53.68 | 11.7 | 10.2 |
Saint Francis (PA) | 98 | 2,017 | 825 | 99 | 155 | 40.90 | 20.4 | 13.0 | 2,248 | 1,067 | 143 | 162 | 52.54 | 15.7 | 13.9 |
Fairleigh Dickinson | 103 | 1,943 | 753 | 94 | 135 | 38.76 | 20.7 | 14.4 | 2,414 | 1,264 | 187 | 215 | 47.64 | 12.9 | 11.2 |
Conference Average | 105 | 2,257 | 974 | 134 | 184 | 43.07 | 17.3 | 12.8 | 2,331 | 1,056 | 147 | 197 | 54.71 | 16.3 | 12.0 |
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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 |
72.38 |
2018-11-16 | Brooklyn, N.Y. |
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GAME |
71.74 |
2018-11-09 | Smithfield, R.I. |
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GAME |
68.75 |
2018-10-05 | Loretto, PA |
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GAME |
68.15 |
2018-10-20 | Moon Township, Pa. |
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GAME |
67.90 |
2018-10-12 | Fairfield, Conn. |
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GAME |
67.35 |
2018-09-30 | Brooklyn, N.Y. |
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GAME |
67.35 |
2018-09-28 | Brooklyn, N.Y. |
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GAME |
67.29 |
2018-11-02 | Fairfield, Conn. |
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GAME |
67.25 |
2018-10-19 | Brooklyn, NY |
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GAME |
66.44 |
2018-10-19 | Moon Township, Pa. |
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Rank | Name | Team |
---|---|---|
1 | Sarah Ciszek | Sacred Heart |
2 | Julia Flynn | Bryant |
3 | Madelyn Kaprelyn | Central Conn. St. |
4 | Liisel Nelis | Sacred Heart |
5 | Rivera Natalia | LIU Brooklyn |
Rank | Name | Team |
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1 | Madelyn Kaprelyn | Central Conn. St. |
2 | Liisel Nelis | Sacred Heart |
3 | Viktoria Fink | LIU Brooklyn |
4 | Emma Granger | Robert Morris |
5 | Maria Alfano | Robert Morris |
Rank | Name | Team |
---|---|---|
1 | Sarah Ciszek | Sacred Heart |
2 | Kirstyn Sperry | Bryant |
3 | Whitney Brown | Robert Morris |
4 | Piper Matsumoto | LIU Brooklyn |
5 | Erin McDERMOTT | Central Conn. St. |
Rank | Name | Team |
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1 | Rivera Natalia | LIU Brooklyn |
2 | Erika Ward | Bryant |
3 | Jess Barrett | Saint Francis (PA) |
4 | Allie Yurkovich | Robert Morris |
5 | Kizzy Rodriguez | St. Francis Brooklyn |
Rk. | Name | Team | WPA |
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1 | Sarah Ciszek | Sacred Heart | 25.9869 |
2 | Kristin Kingi | Bryant | 25.5582 |
3 | Kirstyn Sperry | Bryant | 25.3227 |
4 | Erika Ward | Bryant | 22.0480 |
5 | Julia Flynn | Bryant | 21.8868 |
6 | Liisel Nelis | Sacred Heart | 18.9526 |
7 | Rivera Natalia | LIU Brooklyn | 17.4204 |
8 | Madelyn Kaprelyn | Central Conn. St. | 17.0334 |
9 | Alexis Lambert | Saint Francis (PA) | 15.7873 |
10 | Taylor Lord | Robert Morris | 15.5602 |
Rk. | Name | Team | OWPA |
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1 | Sarah Ciszek | Sacred Heart | 17.3964 |
2 | Kirstyn Sperry | Bryant | 16.8770 |
3 | Madelyn Kaprelyn | Central Conn. St. | 12.4673 |
4 | Julia Flynn | Bryant | 10.5891 |
5 | Liisel Nelis | Sacred Heart | 10.4367 |
6 | Caroline Kennedy | Bryant | 10.4334 |
7 | Whitney Brown | Robert Morris | 10.3527 |
8 | Kristin Kingi | Bryant | 8.7905 |
9 | Emma Granger | Robert Morris | 8.0849 |
10 | Nina Tiedt | St. Francis Brooklyn | 7.9341 |
Rk. | Name | Team | DWPA |
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1 | Erika Ward | Bryant | 19.0876 |
2 | Kristin Kingi | Bryant | 16.7677 |
3 | Rivera Natalia | LIU Brooklyn | 16.2275 |
4 | Allie Yurkovich | Robert Morris | 15.9394 |
5 | Kizzy Rodriguez | St. Francis Brooklyn | 14.4093 |
6 | Emma Smallcomb | Sacred Heart | 12.4499 |
7 | Jess Barrett | Saint Francis (PA) | 12.3400 |
8 | Julia Flynn | Bryant | 11.2977 |
9 | Madi Tyus | Saint Francis (PA) | 10.8432 |
10 | Taylor Lord | Robert Morris | 9.6301 |
Rk. | Name | Team | WPA/S |
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1 | Sarah Ciszek | Sacred Heart | 0.2625 |
2 | Julia Flynn | Bryant | 0.1972 |
3 | Liisel Nelis | Sacred Heart | 0.1914 |
4 | Rivera Natalia | LIU Brooklyn | 0.1914 |
5 | Madelyn Kaprelyn | Central Conn. St. | 0.1872 |
6 | Kirstyn Sperry | Bryant | 0.1848 |
7 | Kristin Kingi | Bryant | 0.1826 |
8 | Viktoria Fink | LIU Brooklyn | 0.1798 |
9 | Emma Henderson | Central Conn. St. | 0.1712 |
10 | Erika Ward | Bryant | 0.1696 |
Rk. | Name | Team | OWPA/S |
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1 | Sarah Ciszek | Sacred Heart | 0.1757 |
2 | Madelyn Kaprelyn | Central Conn. St. | 0.1370 |
3 | Kirstyn Sperry | Bryant | 0.1232 |
4 | Whitney Brown | Robert Morris | 0.1056 |
5 | Liisel Nelis | Sacred Heart | 0.1054 |
6 | Julia Flynn | Bryant | 0.0954 |
7 | Viktoria Fink | LIU Brooklyn | 0.0940 |
8 | Nina Tiedt | St. Francis Brooklyn | 0.0862 |
9 | Piper Matsumoto | LIU Brooklyn | 0.0853 |
10 | Emma Henderson | Central Conn. St. | 0.0840 |
Rk. | Name | Team | DWPA/S |
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1 | Rivera Natalia | LIU Brooklyn | 0.1783 |
2 | Erika Ward | Bryant | 0.1468 |
3 | Jess Barrett | Saint Francis (PA) | 0.1452 |
4 | Allie Yurkovich | Robert Morris | 0.1436 |
5 | Kizzy Rodriguez | St. Francis Brooklyn | 0.1399 |
6 | Emma Smallcomb | Sacred Heart | 0.1311 |
7 | Kristin Kingi | Bryant | 0.1198 |
8 | Madi Tyus | Saint Francis (PA) | 0.1106 |
9 | Raquel Quirarte | Central Conn. St. | 0.1035 |
10 | Ashlyn Eisenga | Central Conn. St. | 0.1034 |
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.