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 | LIU Brooklyn | 1,561.0653 | 1,560.7899 | 1,560.9276 | 41.60 | 55.53 | -0.043 |
2nd | Bryant | 1,542.7515 | 1,533.9318 | 1,538.3353 | 41.75 | 53.84 | -0.060 |
3rd | Bryant | 1,542.7515 | 1,533.9318 | 1,538.3353 | 41.75 | 53.84 | -0.060 |
4th | Central Conn. St. | 1,532.3671 | 1,524.2002 | 1,528.2782 | 38.67 | 55.73 | -0.067 |
5th | Central Conn. St. | 1,532.3671 | 1,524.2002 | 1,528.2782 | 38.67 | 55.73 | -0.067 |
6th | Sacred Heart | 1,523.8949 | 1,518.1658 | 1,521.0277 | 39.13 | 55.06 | -0.084 |
7th | Sacred Heart | 1,523.8949 | 1,518.1658 | 1,521.0277 | 39.13 | 55.06 | -0.084 |
8th | Robert Morris | 1,524.4885 | 1,505.4209 | 1,514.9247 | 40.25 | 53.46 | -0.083 |
9th | Robert Morris | 1,524.4885 | 1,505.4209 | 1,514.9247 | 40.25 | 53.46 | -0.083 |
10th | Saint Francis (PA) | 1,477.4477 | 1,465.1395 | 1,471.2807 | 35.57 | 53.03 | -0.116 |
11th | Saint Francis (PA) | 1,477.4477 | 1,465.1395 | 1,471.2807 | 35.57 | 53.03 | -0.116 |
12th | St. Francis Brooklyn | 1,425.9502 | 1,418.3977 | 1,422.1689 | 32.36 | 49.58 | -0.176 |
13th | St. Francis Brooklyn | 1,425.9502 | 1,418.3977 | 1,422.1689 | 32.36 | 49.58 | -0.176 |
14th | Fairleigh Dickinson | 1,391.6439 | 1,382.8598 | 1,387.2449 | 34.46 | 45.48 | -0.205 |
15th | Fairleigh Dickinson | 1,391.6439 | 1,382.8598 | 1,387.2449 | 34.46 | 45.48 | -0.205 |
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 | LIU Brooklyn | 0.1658 | 32.05 | 15.48 | 30.21 | 53.31 | 6.56 | 6.00 |
2nd | Robert Morris | 0.1625 | 32.09 | 15.84 | 29.48 | 52.82 | 6.47 | 7.53 |
3rd | Robert Morris | 0.1625 | 32.09 | 15.84 | 29.48 | 52.82 | 6.47 | 7.53 |
4th | Bryant | 0.1602 | 33.00 | 16.98 | 30.81 | 50.20 | 6.59 | 5.72 |
5th | Bryant | 0.1602 | 33.00 | 16.98 | 30.81 | 50.20 | 6.59 | 5.72 |
6th | Central Conn. St. | 0.1570 | 31.19 | 15.49 | 29.20 | 55.08 | 6.88 | 4.71 |
7th | Central Conn. St. | 0.1570 | 31.19 | 15.49 | 29.20 | 55.08 | 6.88 | 4.71 |
8th | Sacred Heart | 0.1455 | 35.18 | 20.62 | 32.38 | 45.26 | 9.04 | 6.00 |
9th | Sacred Heart | 0.1455 | 35.18 | 20.62 | 32.38 | 45.26 | 9.04 | 6.00 |
10th | Saint Francis (PA) | 0.1399 | 29.16 | 15.17 | 27.47 | 58.14 | 5.99 | 4.40 |
11th | Saint Francis (PA) | 0.1399 | 29.16 | 15.17 | 27.47 | 58.14 | 5.99 | 4.40 |
12th | St. Francis Brooklyn | 0.1303 | 32.43 | 19.40 | 30.49 | 51.70 | 6.42 | 5.47 |
13th | St. Francis Brooklyn | 0.1303 | 32.43 | 19.40 | 30.49 | 51.70 | 6.42 | 5.47 |
14th | Fairleigh Dickinson | 0.0904 | 24.78 | 15.74 | 22.81 | 61.74 | 6.44 | 4.60 |
15th | Fairleigh Dickinson | 0.0904 | 24.78 | 15.74 | 22.81 | 61.74 | 6.44 | 4.60 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | LIU Brooklyn | 0.2090 | 35.12 | 14.21 | 32.85 | 52.37 | 4.77 | 5.58 |
2nd | Bryant | 0.2205 | 36.35 | 14.30 | 34.22 | 48.51 | 4.71 | 5.17 |
3rd | Bryant | 0.2205 | 36.35 | 14.30 | 34.22 | 48.51 | 4.71 | 5.17 |
4th | Central Conn. St. | 0.2238 | 37.38 | 15.00 | 35.65 | 48.18 | 6.11 | 4.41 |
5th | Central Conn. St. | 0.2238 | 37.38 | 15.00 | 35.65 | 48.18 | 6.11 | 4.41 |
6th | Sacred Heart | 0.2300 | 37.73 | 14.73 | 34.72 | 48.42 | 5.43 | 4.73 |
7th | Sacred Heart | 0.2300 | 37.73 | 14.73 | 34.72 | 48.42 | 5.43 | 4.73 |
8th | Robert Morris | 0.2457 | 38.15 | 13.58 | 35.26 | 48.19 | 4.32 | 5.15 |
9th | Robert Morris | 0.2457 | 38.15 | 13.58 | 35.26 | 48.19 | 4.32 | 5.15 |
10th | Saint Francis (PA) | 0.2563 | 37.75 | 12.12 | 35.45 | 51.19 | 3.67 | 5.11 |
11th | Saint Francis (PA) | 0.2563 | 37.75 | 12.12 | 35.45 | 51.19 | 3.67 | 5.11 |
12th | Fairleigh Dickinson | 0.2958 | 42.34 | 12.77 | 39.28 | 45.03 | 3.64 | 8.37 |
13th | Fairleigh Dickinson | 0.2958 | 42.34 | 12.77 | 39.28 | 45.03 | 3.64 | 8.37 |
14th | St. Francis Brooklyn | 0.3061 | 44.25 | 13.64 | 40.52 | 41.99 | 5.19 | 8.24 |
15th | St. Francis Brooklyn | 0.3061 | 44.25 | 13.64 | 40.52 | 41.99 | 5.19 | 8.24 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,488.4966 | 1,490.7135 | 1,495.7905 | 1,499.2435 | 1,493.5610 |
Difference | 2.2170 | 7.2940 | 10.7469 | 6.7526 |
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 |
Central Conn. St. | 110 | 2,474 | 1,100 | 129 | 156 | 44.46 | 19.2 | 15.9 | 2,338 | 959 | 107 | 164 | 58.98 | 21.9 | 14.3 |
Bryant | 125 | 2,749 | 1,270 | 166 | 204 | 46.20 | 16.6 | 13.5 | 2,650 | 1,157 | 137 | 218 | 56.34 | 19.3 | 12.2 |
LIU Brooklyn | 116 | 2,549 | 1,155 | 158 | 185 | 45.31 | 16.1 | 13.8 | 2,475 | 1,062 | 148 | 201 | 57.09 | 16.7 | 12.3 |
Sacred Heart | 112 | 2,445 | 1,071 | 158 | 231 | 43.80 | 15.5 | 10.6 | 2,387 | 1,015 | 108 | 223 | 57.48 | 22.1 | 10.7 |
Robert Morris | 119 | 2,607 | 1,162 | 209 | 243 | 44.57 | 12.5 | 10.7 | 2,569 | 1,127 | 132 | 228 | 56.13 | 19.5 | 11.3 |
Saint Francis (PA) | 97 | 2,069 | 861 | 108 | 157 | 41.61 | 19.2 | 13.2 | 2,137 | 926 | 114 | 175 | 56.67 | 18.7 | 12.2 |
St. Francis Brooklyn | 100 | 2,058 | 808 | 131 | 204 | 39.26 | 15.7 | 10.1 | 2,294 | 1,064 | 191 | 212 | 53.62 | 12.0 | 10.8 |
Fairleigh Dickinson | 98 | 1,997 | 826 | 110 | 88 | 41.36 | 18.2 | 22.7 | 2,307 | 1,160 | 191 | 196 | 49.72 | 12.1 | 11.8 |
Conference Average | 110 | 2,369 | 1,032 | 146 | 184 | 43.32 | 16.6 | 13.8 | 2,395 | 1,059 | 141 | 202 | 55.75 | 17.8 | 11.9 |
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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 |
75.81 |
2017-10-06 | Brooklyn, N.Y. |
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GAME |
75.24 |
2017-11-17 | Brooklyn, N.Y. |
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GAME |
75.16 |
2017-11-11 | Moon Township, Pa. |
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GAME |
74.99 |
2017-10-21 | Loretto, PA (SFU) |
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GAME |
73.54 |
2017-11-10 | Loretto, PA (SFU) |
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GAME |
72.52 |
2017-11-18 | Brooklyn, N.Y. |
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GAME |
72.20 |
2017-11-03 | New Britain, CT |
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GAME |
72.08 |
2017-09-22 | New Britain, CT |
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GAME |
71.80 |
2017-10-06 | Fairfield, Conn. |
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GAME |
70.90 |
2017-10-27 | Fairifield, CT |
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Rank | Name | Team |
---|---|---|
1 | Kirstyn Sperry | Bryant |
2 | Emily Marcinowski | Saint Francis (PA) |
3 | Rivera Natalia | LIU Brooklyn |
4 | Samantha McCreath | Central Conn. St. |
5 | Liisel Nelis | Sacred Heart |
Rank | Name | Team |
---|---|---|
1 | Liisel Nelis | Sacred Heart |
2 | Viktoria Fink | LIU Brooklyn |
3 | Emma Henderson | Central Conn. St. |
4 | Filippa Hannson | LIU Brooklyn |
5 | Maddie Smith | Central Conn. St. |
Rank | Name | Team |
---|---|---|
1 | Kiki Robinson | Sacred Heart |
2 | Brianna Frakes | Robert Morris |
3 | Amelia Metzler | Saint Francis (PA) |
4 | Piper Matsumoto | LIU Brooklyn |
5 | Amanda Hubbard | LIU Brooklyn |
Rank | Name | Team |
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1 | Rivera Natalia | LIU Brooklyn |
2 | Samantha McCreath | Central Conn. St. |
3 | Lindsey Massicotte | Central Conn. St. |
4 | Jenna Veres | Saint Francis (PA) |
5 | Taylor Lord | Robert Morris |
Rk. | Name | Team | WPA |
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1 | Kirstyn Sperry | Bryant | 23.9994 |
2 | Rivera Natalia | LIU Brooklyn | 21.5991 |
3 | Liisel Nelis | Sacred Heart | 21.0936 |
4 | Kiki Robinson | Sacred Heart | 20.7016 |
5 | Brianna Frakes | Robert Morris | 20.0106 |
6 | Lindsey Massicotte | Central Conn. St. | 19.7942 |
7 | Emily Marcinowski | Saint Francis (PA) | 19.2673 |
8 | Julia Flynn | Bryant | 18.8105 |
9 | Viktoria Fink | LIU Brooklyn | 17.8236 |
10 | Nina Petranovic | LIU Brooklyn | 17.4153 |
Rk. | Name | Team | OWPA |
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1 | Kiki Robinson | Sacred Heart | 13.4793 |
2 | Kirstyn Sperry | Bryant | 12.7330 |
3 | Liisel Nelis | Sacred Heart | 11.8777 |
4 | Brianna Frakes | Robert Morris | 11.7366 |
5 | Emma Granger | Robert Morris | 10.8948 |
6 | Filippa Hannson | LIU Brooklyn | 10.2238 |
7 | Madelyn Kaprelyn | Central Conn. St. | 10.0688 |
8 | Maria Alfano | Robert Morris | 9.0758 |
9 | Viktoria Fink | LIU Brooklyn | 8.9507 |
10 | Julia Flynn | Bryant | 8.6355 |
Rk. | Name | Team | DWPA |
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1 | Rivera Natalia | LIU Brooklyn | 20.3071 |
2 | Lindsey Massicotte | Central Conn. St. | 18.7371 |
3 | Jenna Veres | Saint Francis (PA) | 18.0011 |
4 | Erika Ward | Bryant | 14.7510 |
5 | Allie Yurkovich | Robert Morris | 13.8977 |
6 | Madi Pope | Sacred Heart | 13.8170 |
7 | Carly O'Sullivan | Fairleigh Dickinson | 12.3499 |
8 | Kirstyn Sperry | Bryant | 11.2663 |
9 | Emily Marcinowski | Saint Francis (PA) | 11.1950 |
10 | Taylor Lord | Robert Morris | 10.5641 |
Rk. | Name | Team | WPA/S |
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1 | Emily Marcinowski | Saint Francis (PA) | 0.1986 |
2 | Kirstyn Sperry | Bryant | 0.1920 |
3 | Liisel Nelis | Sacred Heart | 0.1883 |
4 | Rivera Natalia | LIU Brooklyn | 0.1862 |
5 | Kiki Robinson | Sacred Heart | 0.1848 |
6 | Lindsey Massicotte | Central Conn. St. | 0.1799 |
7 | Mckenna Setterlund | Fairleigh Dickinson | 0.1796 |
8 | Samantha McCreath | Central Conn. St. | 0.1753 |
9 | Viktoria Fink | LIU Brooklyn | 0.1747 |
10 | Brianna Frakes | Robert Morris | 0.1740 |
Rk. | Name | Team | OWPA/S |
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1 | Kiki Robinson | Sacred Heart | 0.1204 |
2 | Liisel Nelis | Sacred Heart | 0.1061 |
3 | Brianna Frakes | Robert Morris | 0.1021 |
4 | Kirstyn Sperry | Bryant | 0.1019 |
5 | Amelia Metzler | Saint Francis (PA) | 0.0992 |
6 | Emma Granger | Robert Morris | 0.0956 |
7 | Mckenna Setterlund | Fairleigh Dickinson | 0.0952 |
8 | Madelyn Kaprelyn | Central Conn. St. | 0.0932 |
9 | Filippa Hannson | LIU Brooklyn | 0.0897 |
10 | Viktoria Fink | LIU Brooklyn | 0.0878 |
Rk. | Name | Team | DWPA/S |
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1 | Jenna Veres | Saint Francis (PA) | 0.1856 |
2 | Rivera Natalia | LIU Brooklyn | 0.1751 |
3 | Lindsey Massicotte | Central Conn. St. | 0.1703 |
4 | Carly O'Sullivan | Fairleigh Dickinson | 0.1260 |
5 | Madi Pope | Sacred Heart | 0.1234 |
6 | Samantha McCreath | Central Conn. St. | 0.1220 |
7 | Allie Yurkovich | Robert Morris | 0.1219 |
8 | Erika Ward | Bryant | 0.1199 |
9 | Emily Marcinowski | Saint Francis (PA) | 0.1154 |
10 | Taylor Lord | Robert Morris | 0.1056 |
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.