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. |
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1st | Juniata | 1,463.1158 | 1,435.6281 | 1,449.3068 | 59.22 | 66.97 | 0.254 |
2nd | Scranton | 1,394.1351 | 1,364.4864 | 1,379.2311 | 54.51 | 62.23 | 0.158 |
3rd | Susquehanna | 1,388.5716 | 1,361.2676 | 1,374.8518 | 54.09 | 64.91 | 0.178 |
4th | Elizabethtown | 1,338.6135 | 1,301.8487 | 1,320.1031 | 48.97 | 60.90 | 0.106 |
5th | Catholic | 1,261.2648 | 1,239.9333 | 1,250.5536 | 49.21 | 56.32 | 0.021 |
6th | Moravian | 1,249.4971 | 1,233.9147 | 1,241.6815 | 47.75 | 55.13 | 0.014 |
7th | Goucher | 1,116.4954 | 1,112.3162 | 1,114.4038 | 39.07 | 51.68 | -0.103 |
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 | Susquehanna | 0.2768 | 39.56 | 11.88 | 35.84 | 48.61 | 3.66 | 8.80 |
2nd | Juniata | 0.2735 | 41.59 | 14.23 | 38.46 | 44.53 | 3.07 | 10.68 |
3rd | Scranton | 0.2444 | 37.50 | 13.06 | 34.57 | 49.43 | 3.75 | 10.08 |
4th | Elizabethtown | 0.2420 | 37.69 | 13.49 | 35.13 | 50.57 | 4.80 | 8.24 |
5th | Catholic | 0.1768 | 32.69 | 15.01 | 30.13 | 51.42 | 4.90 | 8.91 |
6th | Moravian | 0.1697 | 32.59 | 15.62 | 30.66 | 51.83 | 3.99 | 8.51 |
7th | Goucher | 0.1303 | 32.85 | 19.83 | 30.54 | 52.25 | 4.31 | 10.29 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Juniata | 0.0197 | 21.98 | 20.01 | 20.51 | 63.61 | 6.75 | 5.92 |
2nd | Scranton | 0.0862 | 26.63 | 18.01 | 25.42 | 58.79 | 4.98 | 7.36 |
3rd | Susquehanna | 0.0992 | 27.61 | 17.69 | 25.71 | 56.78 | 5.72 | 5.32 |
4th | Elizabethtown | 0.1365 | 30.91 | 17.26 | 28.79 | 54.31 | 4.29 | 5.87 |
5th | Moravian | 0.1560 | 31.27 | 15.67 | 29.61 | 56.82 | 3.92 | 6.48 |
6th | Catholic | 0.1563 | 30.58 | 14.95 | 28.28 | 57.19 | 3.72 | 6.50 |
7th | Goucher | 0.2329 | 36.73 | 13.44 | 33.23 | 52.21 | 4.06 | 9.26 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,304.3045 | 1,313.2842 | 1,315.1695 | 1,320.1031 | 1,313.2153 |
Difference | 8.9797 | 10.8650 | 15.7986 | 11.8811 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Scranton | 147 | 3,239 | 1,690 | 296 | 282 | 52.18 | 10.9 | 11.5 | 2,695 | 1,116 | 237 | 257 | 58.59 | 11.4 | 10.5 |
Juniata | 121 | 2,398 | 1,180 | 223 | 231 | 49.21 | 10.8 | 10.4 | 2,147 | 915 | 180 | 229 | 57.38 | 11.9 | 9.4 |
Susquehanna | 118 | 2,144 | 1,029 | 173 | 197 | 47.99 | 12.4 | 10.9 | 1,972 | 829 | 168 | 222 | 57.96 | 11.7 | 8.9 |
Elizabethtown | 103 | 1,931 | 928 | 195 | 226 | 48.06 | 9.9 | 8.5 | 1,761 | 744 | 147 | 216 | 57.75 | 12.0 | 8.2 |
Catholic | 122 | 2,111 | 996 | 189 | 164 | 47.18 | 11.2 | 12.9 | 2,123 | 1,004 | 207 | 209 | 52.71 | 10.3 | 10.2 |
Moravian | 122 | 2,255 | 1,034 | 191 | 254 | 45.85 | 11.8 | 8.9 | 2,334 | 1,118 | 190 | 241 | 52.10 | 12.3 | 9.7 |
Goucher | 81 | 1,499 | 592 | 156 | 261 | 39.49 | 9.6 | 5.7 | 1,790 | 904 | 187 | 177 | 49.50 | 9.6 | 10.1 |
Conference Average | 116 | 2,225 | 1,064 | 203 | 231 | 47.14 | 10.9 | 9.8 | 2,117 | 947 | 188 | 222 | 55.14 | 11.3 | 9.6 |
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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 |
68.86 |
2017-11-01 | Scranton, Pa. |
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GAME |
63.79 |
2017-10-14 | Bethlehem, Pa. |
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GAME |
63.36 |
2017-10-28 | Selinsgrove, Pa. |
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GAME |
61.90 |
2017-11-04 | Huntingdon, Pa. |
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GAME |
60.46 |
2017-09-30 | Elizabethtown, Pa. |
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GAME |
60.26 |
2017-10-28 | Selinsgrove, Pa. |
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GAME |
59.92 |
2017-10-28 | Selinsgrove, Pa. |
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GAME |
59.09 |
2017-09-30 | Elizabethtown, Pa. |
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GAME |
58.96 |
2017-09-30 | Scranton, Pa. |
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GAME |
58.64 |
2017-10-14 | Bethlehem, Pa. |
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Name | Team | Role |
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Mackenzie Garner | Elizabethtown | A |
Kristin Kriwan | Scranton | A |
Morgan Lowe | Susquehanna | A |
Marybeth Weihbrecht | Juniata | A |
Mary Zacher | Moravian | A |
Katie Bryne | Juniata | D |
Kindler Norman | Scranton | S |
Name | Team | Role |
---|---|---|
Victoria Capogna | Scranton | A |
Morgan Edwards | Juniata | A |
Megan Moroney | Juniata | A |
Sarah Schneider | Elizabethtown | A |
Jean Markovic | Moravian | D |
Gabby Anders | Elizabethtown | S |
Julie Kreutzer | Susquehanna | S |
Rank | Name | Team |
---|---|---|
1 | Kristin Kriwan | Scranton |
2 | Mary Zacher | Moravian |
3 | Kindler Norman | Scranton |
4 | Morgan Lowe | Susquehanna |
5 | Katie Bryne | Juniata |
Rank | Name | Team |
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1 | Kristin Kriwan | Scranton |
2 | Mary Zacher | Moravian |
3 | Morgan Lowe | Susquehanna |
4 | Mackenzie Garner | Elizabethtown |
5 | Victoria Capogna | Scranton |
Rank | Name | Team |
---|---|---|
1 | Kindler Norman | Scranton |
2 | Gabby Anders | Elizabethtown |
3 | Julie Kreutzer | Susquehanna |
4 | Michelle Seals | Catholic |
5 | Helen Foreman | Susquehanna |
Rank | Name | Team |
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1 | Katie Bryne | Juniata |
2 | Jean Markovic | Moravian |
3 | Aiyana Toro | Elizabethtown |
4 | Regina Schetroma | Scranton |
5 | Caroline Beohm | Susquehanna |
Rk. | Name | Team | WPA |
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1 | Kristin Kriwan | Scranton | 26.1623 |
2 | Mary Zacher | Moravian | 25.9425 |
3 | Kindler Norman | Scranton | 22.6705 |
4 | Jean Markovic | Moravian | 19.1956 |
5 | Morgan Lowe | Susquehanna | 18.4090 |
6 | Katie Bryne | Juniata | 16.7663 |
7 | Regina Schetroma | Scranton | 15.1856 |
8 | Victoria Capogna | Scranton | 15.0345 |
9 | Gabby Anders | Elizabethtown | 13.6837 |
10 | Amy O'Connor | Catholic | 13.6779 |
Rk. | Name | Team | OWPA |
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1 | Mary Zacher | Moravian | 15.9200 |
2 | Kindler Norman | Scranton | 15.5871 |
3 | Kristin Kriwan | Scranton | 15.5383 |
4 | Morgan Lowe | Susquehanna | 11.3035 |
5 | Victoria Capogna | Scranton | 10.2182 |
6 | Amy O'Connor | Catholic | 9.7698 |
7 | Gabby Anders | Elizabethtown | 9.6444 |
8 | Marybeth Weihbrecht | Juniata | 9.5462 |
9 | Victoria Kauffman | Moravian | 8.7703 |
10 | Mackenzie Garner | Elizabethtown | 7.3687 |
Rk. | Name | Team | DWPA |
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1 | Jean Markovic | Moravian | 17.9376 |
2 | Regina Schetroma | Scranton | 15.2042 |
3 | Katie Bryne | Juniata | 15.0485 |
4 | Caroline Beohm | Susquehanna | 11.3382 |
5 | Aiyana Toro | Elizabethtown | 11.2626 |
6 | Christina Ciola | Catholic | 11.2098 |
7 | Kristin Kriwan | Scranton | 10.6241 |
8 | Mary Zacher | Moravian | 10.0224 |
9 | Morgan Rentzheimer | Scranton | 8.9333 |
10 | Patricia Martinez | Catholic | 8.4895 |
Rk. | Name | Team | WPA/S |
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1 | Mary Zacher | Moravian | 0.2425 |
2 | Kristin Kriwan | Scranton | 0.2162 |
3 | Morgan Lowe | Susquehanna | 0.1918 |
4 | Kindler Norman | Scranton | 0.1858 |
5 | Michelle Seals | Catholic | 0.1793 |
6 | Jean Markovic | Moravian | 0.1777 |
7 | Katie Bryne | Juniata | 0.1644 |
8 | Gabby Anders | Elizabethtown | 0.1629 |
9 | Julie Kreutzer | Susquehanna | 0.1557 |
10 | Mackenzie Garner | Elizabethtown | 0.1541 |
Rk. | Name | Team | OWPA/S |
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1 | Mary Zacher | Moravian | 0.1488 |
2 | Mackenzie Garner | Elizabethtown | 0.1316 |
3 | Kristin Kriwan | Scranton | 0.1284 |
4 | Kindler Norman | Scranton | 0.1278 |
5 | Morgan Lowe | Susquehanna | 0.1177 |
6 | Julie Kreutzer | Susquehanna | 0.1164 |
7 | Gabby Anders | Elizabethtown | 0.1148 |
8 | Michelle Seals | Catholic | 0.1051 |
9 | Amy O'Connor | Catholic | 0.0987 |
10 | Marybeth Weihbrecht | Juniata | 0.0909 |
Rk. | Name | Team | DWPA/S |
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1 | Jean Markovic | Moravian | 0.1661 |
2 | Katie Bryne | Juniata | 0.1475 |
3 | Aiyana Toro | Elizabethtown | 0.1310 |
4 | Christina Ciola | Catholic | 0.1260 |
5 | Caroline Beohm | Susquehanna | 0.1219 |
6 | Regina Schetroma | Scranton | 0.1161 |
7 | Mary Zacher | Moravian | 0.0937 |
8 | Patricia Martinez | Catholic | 0.0913 |
9 | Kristin Kriwan | Scranton | 0.0878 |
10 | Sarah Weeden | Goucher | 0.0842 |
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.