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 | Maine Maritime | 1,302.6425 | 1,307.8771 | 1,305.2572 | 54.28 | 43.34 | 0.030 |
2nd | SUNY Delhi | 1,155.7228 | 1,153.6577 | 1,154.6898 | 50.82 | 34.23 | -0.162 |
3rd | Husson | 1,122.2777 | 1,125.9898 | 1,124.1323 | 46.46 | 38.73 | -0.172 |
4th | SUNY Canton | 1,095.3920 | 1,093.6888 | 1,094.5401 | 49.34 | 33.71 | -0.187 |
5th | NVU-Johnson | 1,073.4426 | 1,075.7523 | 1,074.5969 | 44.82 | 35.28 | -0.183 |
6th | Cobleskill St. | 1,062.2048 | 1,062.6956 | 1,062.4502 | 44.32 | 31.79 | -0.246 |
7th | Cazenovia | 1,025.7055 | 1,023.5578 | 1,024.6311 | 47.43 | 32.10 | -0.273 |
8th | Me.-Presque Isle | 975.6361 | 982.0622 | 978.8439 | 38.83 | 32.04 | -0.310 |
9th | SUNY Poly | 971.7469 | 968.8940 | 970.3194 | 44.60 | 26.79 | -0.321 |
10th | NVU-Lyndon | 703.3956 | 699.2968 | 701.3432 | 33.71 | 17.86 | -0.559 |
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 | Maine Maritime | 0.1875 | 35.50 | 16.75 | 33.37 | 49.70 | 4.26 | 9.94 |
2nd | NVU-Johnson | 0.0851 | 25.33 | 16.82 | 21.93 | 57.78 | 3.97 | 7.28 |
3rd | Husson | 0.0777 | 26.47 | 18.70 | 25.69 | 57.99 | 4.63 | 9.75 |
4th | SUNY Delhi | 0.0499 | 21.50 | 16.51 | 19.49 | 60.34 | 4.30 | 7.05 |
5th | SUNY Canton | 0.0357 | 20.37 | 16.80 | 18.76 | 68.19 | 3.53 | 6.40 |
6th | Cobleskill St. | -0.0029 | 22.01 | 22.30 | 20.22 | 61.62 | 4.86 | 6.12 |
7th | Cazenovia | -0.0051 | 18.72 | 19.22 | 16.03 | 62.24 | 4.80 | 7.61 |
8th | Me.-Presque Isle | -0.0199 | 18.03 | 20.01 | 17.04 | 69.66 | 5.10 | 6.02 |
9th | SUNY Poly | -0.0467 | 17.01 | 21.68 | 15.35 | 71.52 | 4.62 | 6.85 |
10th | NVU-Lyndon | -0.1718 | 10.35 | 27.53 | 8.45 | 78.75 | 4.43 | 4.41 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Maine Maritime | 0.1571 | 31.24 | 15.54 | 28.74 | 55.82 | 3.40 | 11.58 |
2nd | SUNY Delhi | 0.2123 | 33.98 | 12.75 | 30.23 | 49.70 | 3.15 | 10.20 |
3rd | SUNY Canton | 0.2227 | 37.53 | 15.27 | 34.05 | 47.24 | 3.68 | 14.80 |
4th | Cobleskill St. | 0.2430 | 39.28 | 14.98 | 36.17 | 45.69 | 3.33 | 12.77 |
5th | Husson | 0.2492 | 37.75 | 12.83 | 34.32 | 49.71 | 1.95 | 11.24 |
6th | Cazenovia | 0.2680 | 39.51 | 12.71 | 34.59 | 42.22 | 1.92 | 15.34 |
7th | NVU-Johnson | 0.2683 | 39.05 | 12.22 | 33.55 | 43.97 | 2.45 | 14.69 |
8th | SUNY Poly | 0.2746 | 41.20 | 13.74 | 36.99 | 46.67 | 2.93 | 19.13 |
9th | Me.-Presque Isle | 0.2897 | 40.97 | 12.00 | 38.14 | 48.95 | 1.16 | 15.12 |
10th | NVU-Lyndon | 0.3870 | 50.05 | 11.35 | 44.17 | 36.22 | 1.24 | 28.71 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,049.0804 | 1,060.5254 | 1,059.8657 | 1,064.0546 | 1,058.3815 |
Difference | 11.4451 | 10.7853 | 14.9742 | 12.4015 |
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 |
Maine Maritime | 80 | 1,835 | 1,135 | 247 | 189 | 61.85 | 7.4 | 9.7 | 1,434 | 748 | 160 | 177 | 47.84 | 9.0 | 8.1 |
NVU-Johnson | 74 | 1,482 | 870 | 241 | 257 | 58.70 | 6.1 | 5.8 | 1,433 | 812 | 203 | 184 | 43.34 | 7.1 | 7.8 |
Husson | 82 | 1,670 | 949 | 259 | 263 | 56.83 | 6.4 | 6.3 | 1,632 | 902 | 170 | 201 | 44.73 | 9.6 | 8.1 |
SUNY Delhi | 90 | 2,003 | 1,223 | 227 | 237 | 61.06 | 8.8 | 8.5 | 1,893 | 1,138 | 164 | 202 | 39.88 | 11.5 | 9.4 |
SUNY Canton | 75 | 1,520 | 911 | 153 | 147 | 59.93 | 9.9 | 10.3 | 1,586 | 982 | 228 | 183 | 38.08 | 7.0 | 8.7 |
Cazenovia | 103 | 1,980 | 1,155 | 241 | 274 | 58.33 | 8.2 | 7.2 | 2,323 | 1,440 | 314 | 246 | 38.01 | 7.4 | 9.4 |
Cobleskill St. | 80 | 1,538 | 826 | 170 | 181 | 53.71 | 9.0 | 8.5 | 1,740 | 1,084 | 204 | 205 | 37.70 | 8.5 | 8.5 |
SUNY Poly | 89 | 1,514 | 829 | 163 | 186 | 54.76 | 9.3 | 8.1 | 2,027 | 1,374 | 375 | 250 | 32.22 | 5.4 | 8.1 |
Me.-Presque Isle | 57 | 908 | 432 | 102 | 129 | 47.58 | 8.9 | 7.0 | 1,244 | 785 | 188 | 167 | 36.90 | 6.6 | 7.4 |
NVU-Lyndon | 67 | 663 | 280 | 58 | 156 | 42.23 | 11.4 | 4.3 | 1,562 | 1,172 | 458 | 161 | 24.97 | 3.4 | 9.7 |
Conference Average | 80 | 1,511 | 861 | 186 | 202 | 55.50 | 8.6 | 7.6 | 1,687 | 1,044 | 246 | 198 | 38.37 | 7.5 | 8.5 |
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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 |
54.99 |
2022-10-30 |
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GAME |
54.60 |
2022-11-05 |
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GAME |
51.38 |
2022-10-02 |
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GAME |
51.00 |
2022-10-15 |
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GAME |
50.25 |
2022-10-08 |
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GAME |
49.88 |
2022-10-19 |
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GAME |
49.24 |
2022-10-08 |
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GAME |
49.03 |
2022-10-16 |
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GAME |
48.95 |
2022-10-29 | Castine, ME |
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GAME |
48.80 |
2022-10-02 |
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Rank | Name | Team |
---|---|---|
1 | Rachel Melampy | Maine Maritime |
2 | Katie Albritton | Maine Maritime |
3 | Sydney Rich | Maine Maritime |
4 | Ila Smith | Maine Maritime |
5 | Kaylee Clark | SUNY Canton |
Rank | Name | Team |
---|---|---|
1 | Rachel Melampy | Maine Maritime |
2 | Ila Smith | Maine Maritime |
3 | Christina Betham | NVU-Johnson |
4 | Chloe Weeks | Maine Maritime |
5 | Julia Leavitt | Husson |
Rank | Name | Team |
---|---|---|
1 | Katie Albritton | Maine Maritime |
2 | Jaiden Venute | SUNY Delhi |
3 | Alyvia McIntyre | Husson |
4 | Kasey Orlowski | Cobleskill St. |
Rank | Name | Team |
---|---|---|
1 | Sydney Rich | Maine Maritime |
2 | Kaylee Clark | SUNY Canton |
3 | Hunnie Zuber | Maine Maritime |
4 | Stephanie Burke | SUNY Delhi |
5 | Makenna Middleton | Maine Maritime |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Rachel Melampy | Maine Maritime | 15.5931 |
2 | Kaylee Clark | SUNY Canton | 13.0492 |
3 | Christina Betham | NVU-Johnson | 11.1496 |
4 | Karissa Decosse | Cazenovia | 11.1051 |
5 | Taryn Anderson | Cazenovia | 10.9350 |
6 | Jaiden Venute | SUNY Delhi | 10.2802 |
7 | Stephanie Burke | SUNY Delhi | 9.4768 |
8 | Alyvia McIntyre | Husson | 9.3778 |
9 | Mackenzie Larson | Cobleskill St. | 9.2326 |
10 | Julia Leavitt | Husson | 8.7203 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Rachel Melampy | Maine Maritime | 9.3044 |
2 | Alyvia McIntyre | Husson | 6.7080 |
3 | Jaiden Venute | SUNY Delhi | 5.8610 |
4 | Christina Betham | NVU-Johnson | 5.7978 |
5 | Katie Albritton | Maine Maritime | 5.5104 |
6 | Ila Smith | Maine Maritime | 5.2313 |
7 | Taryn Anderson | Cazenovia | 5.0713 |
8 | Julia Leavitt | Husson | 3.9544 |
9 | Mason Lores | NVU-Johnson | 3.8604 |
10 | Sage Renneisen | SUNY Delhi | 3.6716 |
Rk. | Name | Team | DWPA |
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1 | Kaylee Clark | SUNY Canton | 11.1662 |
2 | Rebecca Heuler | SUNY Delhi | 9.3486 |
3 | Mackenzie Larson | Cobleskill St. | 9.2729 |
4 | Kimberly Rodriguez | Cazenovia | 8.5084 |
5 | Karissa Decosse | Cazenovia | 7.6432 |
6 | Stephanie Burke | SUNY Delhi | 7.3091 |
7 | Meghan Peek | SUNY Poly | 7.1700 |
8 | Amber Lemay | Husson | 7.1026 |
9 | Sydney Rich | Maine Maritime | 7.0416 |
10 | Sophia Ferri | Cazenovia | 6.5477 |
Rk. | Name | Team | WPA/S |
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1 | Rachel Melampy | Maine Maritime | 0.1949 |
2 | Kaylee Clark | SUNY Canton | 0.1812 |
3 | Christina Betham | NVU-Johnson | 0.1570 |
4 | Mackenzie Larson | Cobleskill St. | 0.1215 |
5 | Mason Lores | NVU-Johnson | 0.1160 |
6 | Alyvia McIntyre | Husson | 0.1144 |
7 | Jaiden Venute | SUNY Delhi | 0.1142 |
8 | Karissa Decosse | Cazenovia | 0.1111 |
9 | Taryn Anderson | Cazenovia | 0.1093 |
10 | Katie Albritton | Maine Maritime | 0.1084 |
Rk. | Name | Team | OWPA/S |
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1 | Rachel Melampy | Maine Maritime | 0.1163 |
2 | Alyvia McIntyre | Husson | 0.0818 |
3 | Christina Betham | NVU-Johnson | 0.0817 |
4 | Ila Smith | Maine Maritime | 0.0727 |
5 | Katie Albritton | Maine Maritime | 0.0716 |
6 | Jaiden Venute | SUNY Delhi | 0.0651 |
7 | Mason Lores | NVU-Johnson | 0.0544 |
8 | Taryn Anderson | Cazenovia | 0.0507 |
9 | Julia Leavitt | Husson | 0.0482 |
10 | Sage Renneisen | SUNY Delhi | 0.0413 |
Rk. | Name | Team | DWPA/S |
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1 | Kaylee Clark | SUNY Canton | 0.1551 |
2 | Mackenzie Larson | Cobleskill St. | 0.1220 |
3 | Rebecca Heuler | SUNY Delhi | 0.1039 |
4 | Jimmi Williams | NVU-Johnson | 0.1038 |
5 | Sydney Rich | Maine Maritime | 0.0891 |
6 | Victoria O'Bar | Cobleskill St. | 0.0876 |
7 | Amber Lemay | Husson | 0.0866 |
8 | Max Ludlow | NVU-Johnson | 0.0854 |
9 | Meghan Peek | SUNY Poly | 0.0844 |
10 | Kimberly Rodriguez | Cazenovia | 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.