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 | Albany (NY) | 1,550.9871 | 1,566.9765 | 1,558.9613 | 42.35 | 54.23 | -0.048 |
2nd | Stony Brook | 1,560.5351 | 1,557.3339 | 1,558.9337 | 40.47 | 56.71 | -0.026 |
3rd | New Hampshire | 1,537.6769 | 1,531.5619 | 1,534.6164 | 40.37 | 54.80 | -0.053 |
4th | Binghamton | 1,520.5884 | 1,527.4411 | 1,524.0109 | 40.00 | 53.44 | -0.067 |
5th | UMBC | 1,518.1638 | 1,504.3582 | 1,511.2452 | 38.90 | 55.59 | -0.046 |
6th | Hartford | 1,442.6362 | 1,427.6995 | 1,435.1484 | 35.52 | 49.55 | -0.146 |
7th | UMass Lowell | 1,435.3748 | 1,413.4044 | 1,424.3473 | 35.09 | 50.21 | -0.157 |
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 | Stony Brook | 0.2026 | 33.87 | 13.61 | 32.26 | 52.43 | 5.44 | 5.01 |
2nd | Binghamton | 0.1813 | 34.58 | 16.45 | 31.87 | 48.12 | 8.48 | 5.44 |
3rd | New Hampshire | 0.1770 | 33.48 | 15.78 | 31.67 | 52.14 | 6.77 | 7.39 |
4th | Albany (NY) | 0.1672 | 32.38 | 15.66 | 29.78 | 53.16 | 5.46 | 4.34 |
5th | UMBC | 0.1667 | 32.47 | 15.79 | 30.77 | 53.92 | 5.74 | 4.79 |
6th | Hartford | 0.1239 | 31.14 | 18.75 | 28.57 | 52.80 | 7.21 | 6.72 |
7th | UMass Lowell | 0.1032 | 30.77 | 20.45 | 29.33 | 52.63 | 8.10 | 5.71 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | UMBC | 0.2131 | 37.16 | 15.85 | 34.89 | 48.27 | 5.87 | 6.46 |
2nd | Albany (NY) | 0.2152 | 35.68 | 14.16 | 32.95 | 51.25 | 4.65 | 7.04 |
3rd | Stony Brook | 0.2289 | 36.26 | 13.37 | 34.13 | 51.41 | 4.47 | 5.96 |
4th | New Hampshire | 0.2301 | 37.48 | 14.47 | 35.12 | 50.31 | 3.78 | 6.92 |
5th | Binghamton | 0.2485 | 38.28 | 13.43 | 35.17 | 48.45 | 4.02 | 6.15 |
6th | UMass Lowell | 0.2602 | 39.95 | 13.92 | 37.24 | 46.23 | 4.48 | 6.81 |
7th | Hartford | 0.2697 | 42.24 | 15.27 | 38.46 | 41.62 | 5.76 | 6.97 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
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Scores | 1,506.7519 | 1,512.7909 | 1,523.2908 | 1,524.0109 | 1,516.7111 |
Difference | 6.0390 | 16.5389 | 17.2590 | 13.2790 |
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 |
Stony Brook | 118 | 2,589 | 1,136 | 148 | 199 | 43.88 | 17.5 | 13.0 | 2,536 | 1,075 | 157 | 231 | 57.61 | 16.2 | 11.0 |
UMBC | 91 | 2,012 | 858 | 110 | 205 | 42.64 | 18.3 | 9.8 | 2,027 | 875 | 133 | 201 | 56.83 | 15.2 | 10.1 |
New Hampshire | 102 | 2,192 | 951 | 170 | 235 | 43.39 | 12.9 | 9.3 | 2,245 | 997 | 151 | 191 | 55.59 | 14.9 | 11.8 |
Binghamton | 102 | 2,195 | 960 | 137 | 198 | 43.74 | 16.0 | 11.1 | 2,232 | 1,001 | 139 | 184 | 55.15 | 16.1 | 12.1 |
Albany (NY) | 89 | 1,876 | 804 | 84 | 128 | 42.86 | 22.3 | 14.7 | 1,987 | 926 | 145 | 191 | 53.40 | 13.7 | 10.4 |
UMass Lowell | 90 | 1,856 | 746 | 121 | 163 | 40.19 | 15.3 | 11.4 | 2,066 | 978 | 141 | 193 | 52.66 | 14.7 | 10.7 |
Hartford | 92 | 1,874 | 752 | 137 | 244 | 40.13 | 13.7 | 7.7 | 2,138 | 1,021 | 145 | 190 | 52.25 | 14.7 | 11.3 |
Conference Average | 98 | 2,085 | 887 | 130 | 196 | 42.40 | 16.6 | 11.0 | 2,176 | 982 | 144 | 197 | 54.78 | 15.1 | 11.0 |
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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 |
75.17 |
2017-11-10 |
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GAME |
74.51 |
2017-10-06 | Durham, NH |
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GAME |
74.50 |
2017-10-15 | Albany, N.Y. |
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GAME |
72.53 |
2017-11-12 | Stony Brook, N.Y. |
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GAME |
72.27 |
2017-11-05 | Stony Brook, N.Y. |
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GAME |
71.73 |
2017-10-13 | Vestal, N.Y. |
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GAME |
71.61 |
2017-10-06 | Baltimore, Md. |
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GAME |
70.86 |
2017-10-13 | Durham, NH |
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GAME |
70.79 |
2017-11-12 | Baltimore, Md. |
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GAME |
70.29 |
2017-09-29 | Albany, N.Y. |
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Name | Team | Role |
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Gabby Alicea | Binghamton | A |
Mckyla Brooks | Stony Brook | A |
Gabri Olhava | New Hampshire | A |
Kennedi Smith | New Hampshire | A |
Kristin Watson | UMBC | D |
Sarah Ngo | Binghamton | S |
Leanne Sakowicz | Stony Brook | S |
Name | Team | Role |
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Cydney Bowman | Stony Brook | A |
Carmen Freeman | UMBC | A |
Kristella Morina | Binghamton | A |
Akuabata Okenwa | Albany (NY) | A |
Kiani Kerstetter | Stony Brook | D |
Kelly Cameron | Albany (NY) | S |
Krytsia Negron | UMBC | S |
Rank | Name | Team |
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1 | Sarah Ngo | Binghamton |
2 | Leanne Sakowicz | Stony Brook |
3 | Kennedi Smith | New Hampshire |
4 | Kelly Cameron | Albany (NY) |
5 | Krytsia Negron | UMBC |
Rank | Name | Team |
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1 | Kennedi Smith | New Hampshire |
2 | Gabby Alicea | Binghamton |
3 | Carmen Freeman | UMBC |
4 | Akuabata Okenwa | Albany (NY) |
5 | Erin Shultz | Binghamton |
Rank | Name | Team |
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1 | Sarah Ngo | Binghamton |
2 | Leanne Sakowicz | Stony Brook |
3 | Kelly Cameron | Albany (NY) |
4 | Krytsia Negron | UMBC |
5 | Mali Jereczek | New Hampshire |
Rank | Name | Team |
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1 | Kristin Watson | UMBC |
2 | Kiani Kerstetter | Stony Brook |
3 | Nicole Otero | Albany (NY) |
4 | Lindsey Visvardis | UMass Lowell |
5 | Logan Welti | New Hampshire |
Rk. | Name | Team | WPA |
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1 | Leanne Sakowicz | Stony Brook | 23.2563 |
2 | Sarah Ngo | Binghamton | 22.7582 |
3 | Emily Costello | Stony Brook | 21.6230 |
4 | Gabby Alicea | Binghamton | 19.1151 |
5 | Kiani Kerstetter | Stony Brook | 17.6334 |
6 | Kennedi Smith | New Hampshire | 17.4321 |
7 | Erin Shultz | Binghamton | 15.1016 |
8 | Kelly Cameron | Albany (NY) | 14.9832 |
9 | Krytsia Negron | UMBC | 14.5087 |
10 | Mckyla Brooks | Stony Brook | 14.0663 |
Rk. | Name | Team | OWPA |
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1 | Leanne Sakowicz | Stony Brook | 14.9725 |
2 | Sarah Ngo | Binghamton | 12.9078 |
3 | Emily Costello | Stony Brook | 10.0719 |
4 | Gabby Alicea | Binghamton | 9.5464 |
5 | Mckyla Brooks | Stony Brook | 9.3151 |
6 | Gabri Olhava | New Hampshire | 9.1312 |
7 | Krytsia Negron | UMBC | 9.0240 |
8 | Kelly Cameron | Albany (NY) | 8.7907 |
9 | Kennedi Smith | New Hampshire | 8.4763 |
10 | Maria Poole | Stony Brook | 8.3271 |
Rk. | Name | Team | DWPA |
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1 | Kiani Kerstetter | Stony Brook | 17.1829 |
2 | Kristin Watson | UMBC | 13.2347 |
3 | Logan Welti | New Hampshire | 13.1458 |
4 | Lindsey Visvardis | UMass Lowell | 12.9567 |
5 | Nicole Otero | Albany (NY) | 12.5489 |
6 | Samantha Gioiosa | Binghamton | 12.3352 |
7 | Emily Costello | Stony Brook | 11.5511 |
8 | Sarah Ngo | Binghamton | 9.8503 |
9 | Gabby Alicea | Binghamton | 9.5687 |
10 | Kennedi Smith | New Hampshire | 8.9558 |
Rk. | Name | Team | WPA/S |
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1 | Sarah Ngo | Binghamton | 0.2231 |
2 | Leanne Sakowicz | Stony Brook | 0.1971 |
3 | Krytsia Negron | UMBC | 0.1934 |
4 | Kelly Cameron | Albany (NY) | 0.1897 |
5 | Kennedi Smith | New Hampshire | 0.1874 |
6 | Gabby Alicea | Binghamton | 0.1874 |
7 | Emily Costello | Stony Brook | 0.1832 |
8 | Kristin Watson | UMBC | 0.1712 |
9 | Carmen Freeman | UMBC | 0.1610 |
10 | Lindsey Visvardis | UMass Lowell | 0.1530 |
Rk. | Name | Team | OWPA/S |
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1 | Leanne Sakowicz | Stony Brook | 0.1269 |
2 | Sarah Ngo | Binghamton | 0.1265 |
3 | Krytsia Negron | UMBC | 0.1203 |
4 | Kelly Cameron | Albany (NY) | 0.1113 |
5 | Gabby Alicea | Binghamton | 0.0936 |
6 | Kennedi Smith | New Hampshire | 0.0911 |
7 | Gabri Olhava | New Hampshire | 0.0895 |
8 | Emily Costello | Stony Brook | 0.0854 |
9 | Ashley Ramos | UMBC | 0.0797 |
10 | Mckyla Brooks | Stony Brook | 0.0789 |
Rk. | Name | Team | DWPA/S |
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1 | Kristin Watson | UMBC | 0.1741 |
2 | Kiani Kerstetter | Stony Brook | 0.1456 |
3 | Lindsey Visvardis | UMass Lowell | 0.1440 |
4 | Nicole Otero | Albany (NY) | 0.1410 |
5 | Logan Welti | New Hampshire | 0.1302 |
6 | Samantha Gioiosa | Binghamton | 0.1209 |
7 | Emily Costello | Stony Brook | 0.0979 |
8 | Sarah Ngo | Binghamton | 0.0966 |
9 | Kennedi Smith | New Hampshire | 0.0963 |
10 | Gabby Alicea | Binghamton | 0.0938 |
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.