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 | Tampa | 1,671.8779 | 1,645.1848 | 1,658.4776 | 57.04 | 71.74 | 0.283 |
2nd | Saint Leo | 1,571.6565 | 1,561.3173 | 1,566.4784 | 50.83 | 66.97 | 0.186 |
3rd | Eckerd | 1,564.1195 | 1,550.4057 | 1,557.2475 | 52.95 | 63.69 | 0.161 |
4th | Fla. Southern | 1,559.4680 | 1,537.8044 | 1,548.5983 | 52.54 | 64.72 | 0.165 |
5th | Rollins | 1,549.9781 | 1,533.7977 | 1,541.8667 | 51.81 | 64.00 | 0.145 |
6th | Lynn | 1,475.9872 | 1,464.4332 | 1,470.1989 | 46.71 | 59.92 | 0.063 |
7th | Florida Tech | 1,479.5756 | 1,460.4550 | 1,469.9842 | 50.39 | 57.50 | 0.070 |
8th | Barry | 1,462.9247 | 1,463.9734 | 1,463.4490 | 46.95 | 60.12 | 0.057 |
9th | Nova Southeastern | 1,385.0409 | 1,400.8665 | 1,392.9312 | 43.04 | 56.18 | -0.031 |
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 | Tampa | 0.3556 | 47.66 | 12.10 | 44.26 | 39.67 | 2.62 | 7.58 |
2nd | Saint Leo | 0.2940 | 43.89 | 14.49 | 41.44 | 42.32 | 3.78 | 7.86 |
3rd | Eckerd | 0.2677 | 40.26 | 13.49 | 37.16 | 47.01 | 4.12 | 7.47 |
4th | Fla. Southern | 0.2539 | 37.18 | 11.79 | 34.68 | 50.60 | 3.34 | 7.08 |
5th | Rollins | 0.2518 | 38.26 | 13.07 | 34.64 | 47.13 | 4.01 | 6.02 |
6th | Lynn | 0.2239 | 36.18 | 13.79 | 33.48 | 50.40 | 4.71 | 7.01 |
7th | Barry | 0.2212 | 36.62 | 14.50 | 34.03 | 49.85 | 4.74 | 8.66 |
8th | Florida Tech | 0.2004 | 36.23 | 16.20 | 33.95 | 48.29 | 5.63 | 7.98 |
9th | Nova Southeastern | 0.1677 | 35.08 | 18.31 | 32.74 | 50.28 | 4.74 | 7.56 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Tampa | 0.0722 | 26.64 | 19.42 | 24.60 | 57.22 | 8.86 | 4.00 |
2nd | Fla. Southern | 0.0889 | 25.04 | 16.14 | 22.92 | 62.17 | 5.66 | 4.04 |
3rd | Eckerd | 0.1063 | 29.18 | 18.55 | 27.19 | 55.31 | 7.88 | 4.40 |
4th | Rollins | 0.1072 | 26.89 | 16.16 | 25.19 | 57.47 | 5.83 | 4.87 |
5th | Saint Leo | 0.1076 | 28.76 | 18.00 | 26.64 | 57.16 | 5.98 | 4.82 |
6th | Florida Tech | 0.1308 | 29.45 | 16.37 | 27.74 | 56.36 | 6.34 | 6.25 |
7th | Lynn | 0.1606 | 31.65 | 15.59 | 29.35 | 53.64 | 5.70 | 5.07 |
8th | Barry | 0.1640 | 33.31 | 16.91 | 30.45 | 52.42 | 5.80 | 5.83 |
9th | Nova Southeastern | 0.1990 | 36.31 | 16.41 | 33.11 | 49.84 | 5.67 | 5.15 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,518.8035 | 1,516.8318 | 1,517.5791 | 1,520.2213 | 1,518.3589 |
Difference | -1.9717 | -1.2244 | 1.4178 | -0.5928 |
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 |
Tampa | 117 | 2,778 | 1,412 | 171 | 208 | 50.83 | 16.2 | 13.4 | 2,169 | 767 | 108 | 183 | 64.64 | 20.1 | 11.9 |
Saint Leo | 113 | 2,615 | 1,239 | 187 | 278 | 47.38 | 14.0 | 9.4 | 2,263 | 865 | 131 | 205 | 61.78 | 17.3 | 11.0 |
Rollins | 121 | 2,799 | 1,332 | 143 | 164 | 47.59 | 19.6 | 17.1 | 2,527 | 1,046 | 153 | 217 | 58.61 | 16.5 | 11.6 |
Eckerd | 105 | 2,378 | 1,123 | 148 | 192 | 47.23 | 16.1 | 12.4 | 2,213 | 944 | 125 | 169 | 57.34 | 17.7 | 13.1 |
Fla. Southern | 127 | 2,900 | 1,346 | 169 | 268 | 46.41 | 17.2 | 10.8 | 2,690 | 1,129 | 135 | 196 | 58.03 | 19.9 | 13.7 |
Lynn | 119 | 2,650 | 1,187 | 175 | 234 | 44.79 | 15.1 | 11.3 | 2,601 | 1,138 | 157 | 226 | 56.25 | 16.6 | 11.5 |
Florida Tech | 101 | 2,203 | 1,031 | 156 | 165 | 46.80 | 14.1 | 13.4 | 2,208 | 1,045 | 156 | 185 | 52.67 | 14.2 | 11.9 |
Barry | 97 | 1,760 | 733 | 166 | 224 | 41.65 | 10.6 | 7.9 | 1,889 | 873 | 145 | 195 | 53.79 | 13.0 | 9.7 |
Nova Southeastern | 92 | 1,801 | 705 | 123 | 162 | 39.15 | 14.6 | 11.1 | 2,123 | 1,043 | 134 | 194 | 50.87 | 15.8 | 10.9 |
Conference Average | 110 | 2,432 | 1,123 | 160 | 211 | 45.76 | 15.3 | 11.9 | 2,298 | 983 | 138 | 197 | 57.11 | 16.8 | 11.7 |
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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 |
75.23 |
2013-10-25 | Lakeland, FL |
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GAME |
74.01 |
2013-11-22 | Ft. Lauderdale, Fla. |
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GAME |
73.16 |
2013-11-09 | Winter Park, Fla. |
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GAME |
73.08 |
2013-11-15 | Winter Park, Fla. |
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GAME |
72.51 |
2013-10-09 | St. Peterburg, Fla. |
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GAME |
72.45 |
2013-10-04 | Saint Leo, Fla. |
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GAME |
71.59 |
2013-10-02 | St. Petersburg, Fla. |
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GAME |
71.54 |
2013-12-05 | Tampa, Fla. |
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GAME |
71.51 |
2013-11-08 | Winter Park, Fla. |
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GAME |
71.34 |
2013-09-24 | Lakeland, FL |
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Name | Team | Role |
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Lindsay Biggs | Eckerd | A |
Meagan Burke | Tampa | A |
Jessica Wagner | Tampa | A |
Berkley Whaley | Tampa | A |
Kate Stromberg | Fla. Southern | D |
Kendall Marotti | Fla. Southern | S |
Kahley Patrick | Tampa | S |
Name | Team | Role |
---|---|---|
Kayshia Brady | Fla. Southern | A |
Camille Indest | Rollins | A |
Katarina Milojevic | Eckerd | A |
Holly Reschke | Tampa | A |
Yaidimar Santiago | Saint Leo | D |
Jaclyn Mailoto | Saint Leo | S |
Marissa Tandron | Lynn | S |
Rank | Name | Team |
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1 | Berkley Whaley | Tampa |
2 | Kendall Marotti | Fla. Southern |
3 | Lindsay Biggs | Eckerd |
4 | Kahley Patrick | Tampa |
5 | Marissa Tandron | Lynn |
Rank | Name | Team |
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1 | Berkley Whaley | Tampa |
2 | Lindsay Biggs | Eckerd |
3 | Camille Indest | Rollins |
4 | Holly Reschke | Tampa |
5 | Tawni Warren | Saint Leo |
Rank | Name | Team |
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1 | Kendall Marotti | Fla. Southern |
2 | Kahley Patrick | Tampa |
3 | Marissa Tandron | Lynn |
4 | Jaclyn Mailoto | Saint Leo |
5 | April Jackson | Rollins |
Rank | Name | Team |
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1 | Kate Stromberg | Fla. Southern |
2 | Yaidimar Santiago | Saint Leo |
3 | Catherine Brusie | Fla. Southern |
4 | Collyn Welsch | Rollins |
5 | Jen Scholz | Tampa |
Rk. | Name | Team | WPA |
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1 | Kendall Marotti | Fla. Southern | 26.8625 |
2 | Marissa Tandron | Lynn | 24.2069 |
3 | Lindsay Biggs | Eckerd | 22.2772 |
4 | Berkley Whaley | Tampa | 21.2000 |
5 | Camille Indest | Rollins | 21.0034 |
6 | Catherine Brusie | Fla. Southern | 20.7475 |
7 | Brindl Langley | Fla. Southern | 20.4733 |
8 | Kate Stromberg | Fla. Southern | 20.2543 |
9 | Collyn Welsch | Rollins | 19.9508 |
10 | April Jackson | Rollins | 19.8336 |
Rk. | Name | Team | OWPA |
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1 | Camille Indest | Rollins | 16.2821 |
2 | Kendall Marotti | Fla. Southern | 16.1171 |
3 | Marissa Tandron | Lynn | 15.7037 |
4 | Jaclyn Mailoto | Saint Leo | 13.7777 |
5 | Berkley Whaley | Tampa | 12.9191 |
6 | Kahley Patrick | Tampa | 12.0959 |
7 | April Jackson | Rollins | 12.0399 |
8 | Lindsay Biggs | Eckerd | 10.6289 |
9 | Angie Caple | Lynn | 9.9066 |
10 | Kayshia Brady | Fla. Southern | 9.2142 |
Rk. | Name | Team | DWPA |
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1 | Catherine Brusie | Fla. Southern | 19.4997 |
2 | Collyn Welsch | Rollins | 18.9960 |
3 | Nikki Haben | Lynn | 17.8789 |
4 | Yaidimar Santiago | Saint Leo | 16.3107 |
5 | Angie Lassman | Florida Tech | 15.3356 |
6 | Kate Stromberg | Fla. Southern | 14.5341 |
7 | Brindl Langley | Fla. Southern | 13.8243 |
8 | Kaleigh Humphrey | Eckerd | 11.7183 |
9 | Lindsay Biggs | Eckerd | 11.6484 |
10 | Kendall Marotti | Fla. Southern | 10.7454 |
Rk. | Name | Team | WPA/S |
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1 | Lindsay Biggs | Eckerd | 0.2122 |
2 | Kendall Marotti | Fla. Southern | 0.2115 |
3 | Marissa Tandron | Lynn | 0.2051 |
4 | Berkley Whaley | Tampa | 0.1876 |
5 | Camille Indest | Rollins | 0.1736 |
6 | Jaclyn Mailoto | Saint Leo | 0.1711 |
7 | Katie Knight | Lynn | 0.1698 |
8 | Kahley Patrick | Tampa | 0.1677 |
9 | Kate Stromberg | Fla. Southern | 0.1674 |
10 | Ashtin Truesdale | Florida Tech | 0.1652 |
Rk. | Name | Team | OWPA/S |
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1 | Camille Indest | Rollins | 0.1346 |
2 | Marissa Tandron | Lynn | 0.1331 |
3 | Kendall Marotti | Fla. Southern | 0.1269 |
4 | Jaclyn Mailoto | Saint Leo | 0.1241 |
5 | Berkley Whaley | Tampa | 0.1143 |
6 | Kahley Patrick | Tampa | 0.1043 |
7 | Lindsay Biggs | Eckerd | 0.1012 |
8 | April Jackson | Rollins | 0.0995 |
9 | Ashtin Truesdale | Florida Tech | 0.0968 |
10 | Angie Caple | Lynn | 0.0840 |
Rk. | Name | Team | DWPA/S |
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1 | Collyn Welsch | Rollins | 0.1570 |
2 | Catherine Brusie | Fla. Southern | 0.1535 |
3 | Nikki Haben | Lynn | 0.1528 |
4 | Angie Lassman | Florida Tech | 0.1518 |
5 | Yaidimar Santiago | Saint Leo | 0.1469 |
6 | Kate Stromberg | Fla. Southern | 0.1201 |
7 | Kaleigh Humphrey | Eckerd | 0.1160 |
8 | Lindsay Biggs | Eckerd | 0.1109 |
9 | Brindl Langley | Fla. Southern | 0.1106 |
10 | Katie Knight | Lynn | 0.1067 |
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.