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 | Stockton | 1,490.8697 | 1,455.7634 | 1,473.2120 | 54.77 | 61.35 | 0.155 |
2nd | Kean | 1,412.0498 | 1,373.4880 | 1,392.6355 | 51.66 | 59.21 | 0.109 |
3rd | Rowan | 1,389.2580 | 1,349.3979 | 1,369.1829 | 53.18 | 53.53 | 0.048 |
4th | Montclair St. | 1,383.5704 | 1,350.5404 | 1,366.9556 | 51.81 | 57.20 | 0.059 |
5th | Ramapo | 1,297.7039 | 1,266.7819 | 1,282.1497 | 47.95 | 52.50 | -0.033 |
6th | Rutgers-Camden | 1,265.8618 | 1,229.8219 | 1,247.7117 | 46.87 | 48.86 | -0.098 |
7th | Wm. Paterson | 1,238.4376 | 1,202.3520 | 1,220.2614 | 44.64 | 48.58 | -0.092 |
8th | Rutgers-Newark | 1,230.8963 | 1,198.1079 | 1,214.3914 | 47.48 | 48.56 | -0.106 |
9th | New Jersey City | 1,113.1496 | 1,075.1339 | 1,093.9766 | 43.32 | 37.13 | -0.226 |
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 | Stockton | 0.2643 | 39.15 | 12.72 | 36.08 | 48.59 | 3.68 | 10.32 |
2nd | Kean | 0.2235 | 36.46 | 14.10 | 33.57 | 50.59 | 2.78 | 8.79 |
3rd | Montclair St. | 0.2079 | 33.95 | 13.16 | 31.26 | 53.09 | 3.41 | 10.01 |
4th | Rowan | 0.1877 | 33.11 | 14.35 | 31.34 | 54.59 | 4.19 | 9.76 |
5th | Ramapo | 0.1415 | 27.60 | 13.46 | 26.15 | 62.07 | 2.97 | 9.81 |
6th | Wm. Paterson | 0.1371 | 27.64 | 13.92 | 26.03 | 60.47 | 4.04 | 5.36 |
7th | Rutgers-Newark | 0.1256 | 27.94 | 15.38 | 25.83 | 59.94 | 3.87 | 9.04 |
8th | Rutgers-Camden | 0.1122 | 27.39 | 16.17 | 24.77 | 57.53 | 4.62 | 8.80 |
9th | New Jersey City | 0.0325 | 22.42 | 19.16 | 20.44 | 65.29 | 4.43 | 7.87 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Stockton | 0.1097 | 27.97 | 17.00 | 25.54 | 57.20 | 5.43 | 5.97 |
2nd | Kean | 0.1150 | 27.54 | 16.03 | 25.50 | 57.24 | 5.49 | 7.78 |
3rd | Rowan | 0.1394 | 28.87 | 14.93 | 26.51 | 58.08 | 3.64 | 9.26 |
4th | Montclair St. | 0.1493 | 31.14 | 16.22 | 28.51 | 51.40 | 4.58 | 7.56 |
5th | Ramapo | 0.1743 | 30.96 | 13.53 | 29.61 | 57.52 | 2.94 | 7.07 |
6th | Rutgers-Camden | 0.2098 | 34.72 | 13.73 | 32.14 | 51.26 | 2.35 | 8.72 |
7th | Wm. Paterson | 0.2290 | 36.32 | 13.42 | 33.96 | 51.74 | 1.78 | 11.58 |
8th | Rutgers-Newark | 0.2315 | 36.51 | 13.36 | 33.74 | 51.30 | 2.23 | 11.48 |
9th | New Jersey City | 0.2580 | 39.03 | 13.23 | 35.66 | 48.64 | 2.94 | 13.48 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,295.6085 | 1,299.0412 | 1,297.2523 | 1,298.9390 | 1,297.7103 |
Difference | 3.4326 | 1.6437 | 3.3305 | 2.8023 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Ramapo | 72 | 1,550 | 947 | 204 | 131 | 61.10 | 7.6 | 11.8 | 1,142 | 519 | 78 | 117 | 54.55 | 14.6 | 9.8 |
Montclair St. | 109 | 2,024 | 1,147 | 244 | 161 | 56.67 | 8.3 | 12.6 | 1,608 | 714 | 167 | 187 | 55.60 | 9.6 | 8.6 |
Stockton | 128 | 2,491 | 1,363 | 251 | 247 | 54.72 | 9.9 | 10.1 | 2,004 | 857 | 151 | 240 | 57.24 | 13.3 | 8.4 |
Rutgers-Newark | 96 | 1,884 | 1,109 | 246 | 185 | 58.86 | 7.7 | 10.2 | 1,573 | 761 | 205 | 206 | 51.62 | 7.7 | 7.6 |
Kean | 122 | 2,476 | 1,262 | 235 | 254 | 50.97 | 10.5 | 9.7 | 2,203 | 963 | 199 | 222 | 56.29 | 11.1 | 9.9 |
Wm. Paterson | 75 | 1,586 | 863 | 139 | 61 | 54.41 | 11.4 | 26.0 | 1,388 | 696 | 152 | 156 | 49.86 | 9.1 | 8.9 |
Rowan | 120 | 2,158 | 1,125 | 227 | 184 | 52.13 | 9.5 | 11.7 | 2,103 | 1,058 | 225 | 216 | 49.69 | 9.3 | 9.7 |
Rutgers-Camden | 93 | 2,005 | 1,053 | 207 | 162 | 52.52 | 9.7 | 12.4 | 1,938 | 990 | 157 | 165 | 48.92 | 12.3 | 11.7 |
New Jersey City | 85 | 1,596 | 845 | 183 | 161 | 52.95 | 8.7 | 9.9 | 1,771 | 1,052 | 221 | 223 | 40.60 | 8.0 | 7.9 |
Conference Average | 100 | 1,974 | 1,079 | 215 | 172 | 54.93 | 9.3 | 12.7 | 1,748 | 846 | 173 | 192 | 51.60 | 10.6 | 9.2 |
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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 |
66.34 |
2019-10-01 | Glassboro, NJ |
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GAME |
65.04 |
2019-11-09 |
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GAME |
64.61 |
2019-10-29 | Union, N.J. |
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GAME |
64.34 |
2019-10-15 | Montclair, NJ |
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GAME |
64.30 |
2019-09-24 | Glassboro, NJ |
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GAME |
63.47 |
2019-10-08 | Union, N.J. |
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GAME |
61.48 |
2019-09-26 | Mahwah, NJ |
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GAME |
61.22 |
2019-10-15 | Mahwah, NJ |
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GAME |
61.12 |
2019-09-17 |
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GAME |
59.77 |
2019-09-26 | Montclair, NJ |
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Name | Team | Role |
---|---|---|
Julie Kohlhoff | Stockton | A |
Jesse Larkin | Kean | A |
Zoe Strozewski | Kean | A |
Carly Waterman | Montclair St. | A |
Maddie Valko | Montclair St. | D |
Brianna Calvano | Kean | S |
Emily Sullivan | Stockton | S |
Name | Team | Role |
---|---|---|
Gianna Arias | Montclair St. | A |
Kailey Gallagher | Rowan | A |
Caitlin Lange | Montclair St. | A |
Morgan Mulligan | Rutgers-Camden | A |
Natalie Ogden | Rowan | D |
Simone Sparano | Rowan | D |
Megan O'Rourke | Montclair St. | S |
Rank | Name | Team |
---|---|---|
1 | Emily Sullivan | Stockton |
2 | Carly Waterman | Montclair St. |
3 | Brianna Calvano | Kean |
4 | Megan O'Rourke | Montclair St. |
5 | Jesse Larkin | Kean |
Rank | Name | Team |
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1 | Carly Waterman | Montclair St. |
2 | Jesse Larkin | Kean |
3 | Zoe Strozewski | Kean |
4 | Morgan Mulligan | Rutgers-Camden |
5 | Kailey Gallagher | Rowan |
Rank | Name | Team |
---|---|---|
1 | Emily Sullivan | Stockton |
2 | Brianna Calvano | Kean |
3 | Megan O'Rourke | Montclair St. |
4 | Kristin Volavka | Wm. Paterson |
5 | Tori Mock | Rowan |
Rank | Name | Team |
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1 | Maddie Valko | Montclair St. |
2 | Simone Sparano | Rowan |
3 | Karina Almeda | Ramapo |
4 | Natalie Miller | Stockton |
5 | Kortnee Nelson | Kean |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Emily Sullivan | Stockton | 24.9355 |
2 | Carly Waterman | Montclair St. | 19.1564 |
3 | Brianna Calvano | Kean | 18.6733 |
4 | Megan O'Rourke | Montclair St. | 17.3846 |
5 | Natalie Ogden | Rowan | 17.2659 |
6 | Jesse Larkin | Kean | 15.9015 |
7 | Natalie Miller | Stockton | 14.9922 |
8 | Simone Sparano | Rowan | 14.6472 |
9 | Kortnee Nelson | Kean | 14.5421 |
10 | Maddie Valko | Montclair St. | 13.9950 |
Rk. | Name | Team | OWPA |
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1 | Emily Sullivan | Stockton | 16.9762 |
2 | Megan O'Rourke | Montclair St. | 11.9403 |
3 | Carly Waterman | Montclair St. | 11.3209 |
4 | Brianna Calvano | Kean | 11.2513 |
5 | Jesse Larkin | Kean | 11.0218 |
6 | Comfort Akinbo | Rutgers-Newark | 10.9473 |
7 | Zoe Strozewski | Kean | 10.6266 |
8 | Julie Kohlhoff | Stockton | 10.5149 |
9 | Karly Gregoire | Rutgers-Newark | 9.3273 |
10 | Kailey Gallagher | Rowan | 8.7465 |
Rk. | Name | Team | DWPA |
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1 | Kortnee Nelson | Kean | 14.6339 |
2 | Simone Sparano | Rowan | 13.7092 |
3 | Natalie Miller | Stockton | 13.4805 |
4 | Maddie Valko | Montclair St. | 13.0053 |
5 | Natalie Ogden | Rowan | 11.0351 |
6 | Morgan Fox | Rutgers-Camden | 10.7667 |
7 | Brione Lockett | Rutgers-Newark | 10.6279 |
8 | Karina Almeda | Ramapo | 10.2525 |
9 | Bella Sunahara | New Jersey City | 9.0781 |
10 | Siyara Herbert | Montclair St. | 8.3620 |
Rk. | Name | Team | WPA/S |
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1 | Emily Sullivan | Stockton | 0.2352 |
2 | Carly Waterman | Montclair St. | 0.2336 |
3 | Megan O'Rourke | Montclair St. | 0.1998 |
4 | Alexa Rivera | Rutgers-Newark | 0.1934 |
5 | Brianna Calvano | Kean | 0.1796 |
6 | Karina Almeda | Ramapo | 0.1786 |
7 | Karly Gregoire | Rutgers-Newark | 0.1753 |
8 | Natalie Ogden | Rowan | 0.1744 |
9 | Simone Sparano | Rowan | 0.1744 |
10 | Comfort Akinbo | Rutgers-Newark | 0.1686 |
Rk. | Name | Team | OWPA/S |
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1 | Emily Sullivan | Stockton | 0.1602 |
2 | Comfort Akinbo | Rutgers-Newark | 0.1422 |
3 | Carly Waterman | Montclair St. | 0.1381 |
4 | Megan O'Rourke | Montclair St. | 0.1372 |
5 | Karly Gregoire | Rutgers-Newark | 0.1196 |
6 | Brianna Calvano | Kean | 0.1082 |
7 | Alyson Toman | Wm. Paterson | 0.1042 |
8 | Jesse Larkin | Kean | 0.1011 |
9 | Julie Kohlhoff | Stockton | 0.1001 |
10 | Alexa Rivera | Rutgers-Newark | 0.0995 |
Rk. | Name | Team | DWPA/S |
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1 | Karina Almeda | Ramapo | 0.1709 |
2 | Simone Sparano | Rowan | 0.1632 |
3 | Maddie Valko | Montclair St. | 0.1548 |
4 | Brione Lockett | Rutgers-Newark | 0.1456 |
5 | Natalie Miller | Stockton | 0.1404 |
6 | Kortnee Nelson | Kean | 0.1343 |
7 | Bella Sunahara | New Jersey City | 0.1244 |
8 | Morgan Fox | Rutgers-Camden | 0.1158 |
9 | Natalie Ogden | Rowan | 0.1115 |
10 | Siyara Herbert | Montclair St. | 0.1045 |
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.