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 | JWU (Providence) | 1,524.4987 | 1,521.8148 | 1,523.1562 | 55.74 | 69.88 | 0.245 |
2nd | Rivier | 1,324.7404 | 1,340.5197 | 1,332.6067 | 48.21 | 56.50 | 0.066 |
3rd | Simmons | 1,235.1432 | 1,255.5646 | 1,245.3120 | 43.59 | 52.59 | -0.038 |
4th | Colby-Sawyer | 1,199.5009 | 1,224.0919 | 1,211.7340 | 42.39 | 50.78 | -0.076 |
5th | Emmanuel (MA) | 1,153.0790 | 1,196.5549 | 1,174.6158 | 41.51 | 46.97 | -0.146 |
6th | Lasell | 1,152.9794 | 1,187.6443 | 1,170.1835 | 41.08 | 46.43 | -0.145 |
7th | Suffolk | 1,124.5556 | 1,165.4710 | 1,144.8306 | 38.55 | 46.70 | -0.122 |
8th | Regis (MA) | 1,114.2349 | 1,160.7479 | 1,137.2536 | 40.84 | 44.57 | -0.120 |
9th | Norwich | 1,103.8807 | 1,162.3264 | 1,132.7266 | 37.96 | 46.94 | -0.141 |
10th | St. Joseph's (ME) | 1,062.8076 | 1,111.0661 | 1,086.6690 | 37.44 | 44.13 | -0.173 |
11th | Albertus Magnus | 1,040.4799 | 1,081.2606 | 1,060.6743 | 35.10 | 41.51 | -0.227 |
12th | St. Joseph (CT) | 1,010.0561 | 1,060.7101 | 1,035.0733 | 35.86 | 40.08 | -0.256 |
13th | Anna Maria | 829.0424 | 886.2144 | 857.1518 | 29.58 | 27.58 | -0.442 |
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 | JWU (Providence) | 0.3248 | 43.14 | 10.66 | 40.13 | 46.28 | 1.97 | 8.77 |
2nd | Rivier | 0.1827 | 36.43 | 18.17 | 34.72 | 49.59 | 4.44 | 8.96 |
3rd | Simmons | 0.1345 | 31.22 | 17.77 | 29.87 | 52.50 | 5.41 | 11.44 |
4th | Colby-Sawyer | 0.1220 | 27.86 | 15.66 | 25.62 | 58.96 | 4.32 | 9.38 |
5th | Regis (MA) | 0.0863 | 27.13 | 18.50 | 25.43 | 61.18 | 4.58 | 7.89 |
6th | Emmanuel (MA) | 0.0845 | 26.05 | 17.60 | 24.19 | 59.67 | 5.59 | 7.12 |
7th | Norwich | 0.0813 | 26.17 | 18.04 | 24.82 | 62.49 | 5.31 | 5.78 |
8th | Suffolk | 0.0786 | 26.79 | 18.92 | 25.25 | 58.12 | 4.66 | 7.18 |
9th | Lasell | 0.0664 | 26.25 | 19.61 | 24.33 | 61.40 | 4.45 | 8.24 |
10th | St. Joseph's (ME) | 0.0525 | 24.04 | 18.80 | 23.30 | 63.81 | 4.85 | 6.85 |
11th | Albertus Magnus | 0.0329 | 21.75 | 18.46 | 20.55 | 66.22 | 4.80 | 5.95 |
12th | St. Joseph (CT) | -0.0068 | 21.09 | 21.77 | 19.47 | 66.37 | 5.23 | 6.66 |
13th | Anna Maria | -0.0982 | 13.53 | 23.34 | 11.56 | 75.04 | 5.82 | 7.14 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | JWU (Providence) | 0.0795 | 24.73 | 16.77 | 22.86 | 61.72 | 4.34 | 5.48 |
2nd | Rivier | 0.1162 | 29.49 | 17.87 | 27.54 | 56.60 | 5.89 | 7.43 |
3rd | Simmons | 0.1729 | 32.94 | 15.65 | 30.66 | 54.11 | 4.31 | 9.69 |
4th | Colby-Sawyer | 0.1979 | 35.30 | 15.51 | 32.55 | 51.80 | 3.61 | 9.76 |
5th | Suffolk | 0.2003 | 34.84 | 14.80 | 32.19 | 50.43 | 3.46 | 10.10 |
6th | Regis (MA) | 0.2062 | 38.28 | 17.66 | 35.81 | 46.09 | 5.51 | 12.09 |
7th | Lasell | 0.2115 | 35.52 | 14.37 | 32.97 | 53.39 | 2.10 | 11.01 |
8th | Norwich | 0.2226 | 37.16 | 14.90 | 35.06 | 49.89 | 2.95 | 13.71 |
9th | St. Joseph's (ME) | 0.2250 | 37.10 | 14.61 | 34.55 | 51.74 | 3.14 | 12.38 |
10th | Emmanuel (MA) | 0.2305 | 37.79 | 14.75 | 35.05 | 48.61 | 2.75 | 8.75 |
11th | St. Joseph (CT) | 0.2488 | 38.83 | 13.95 | 36.10 | 48.83 | 2.50 | 13.00 |
12th | Albertus Magnus | 0.2598 | 39.02 | 13.04 | 36.45 | 50.46 | 0.72 | 13.70 |
13th | Anna Maria | 0.3435 | 47.46 | 13.11 | 41.51 | 37.84 | 1.27 | 22.20 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,162.4606 | 1,157.4254 | 1,151.5555 | 1,151.1447 | 1,155.6465 |
Difference | -5.0352 | -10.9051 | -11.3158 | -9.0854 |
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 |
JWU (Providence) | 107 | 2,489 | 1,355 | 232 | 182 | 54.44 | 10.7 | 13.7 | 1,789 | 626 | 110 | 188 | 65.01 | 16.3 | 9.5 |
Rivier | 120 | 2,628 | 1,381 | 328 | 318 | 52.55 | 8.0 | 8.3 | 2,205 | 933 | 171 | 229 | 57.69 | 12.9 | 9.6 |
Norwich | 92 | 1,940 | 990 | 210 | 207 | 51.03 | 9.2 | 9.4 | 1,797 | 841 | 232 | 223 | 53.20 | 7.7 | 8.1 |
Colby-Sawyer | 119 | 2,557 | 1,245 | 298 | 287 | 48.69 | 8.6 | 8.9 | 2,478 | 1,149 | 236 | 254 | 53.63 | 10.5 | 9.8 |
Simmons | 104 | 2,264 | 1,091 | 299 | 352 | 48.19 | 7.6 | 6.4 | 2,188 | 1,012 | 225 | 238 | 53.75 | 9.7 | 9.2 |
Albertus Magnus | 101 | 2,054 | 1,012 | 222 | 240 | 49.27 | 9.3 | 8.6 | 2,112 | 1,070 | 271 | 240 | 49.34 | 7.8 | 8.8 |
Lasell | 110 | 2,035 | 985 | 247 | 211 | 48.40 | 8.2 | 9.6 | 2,132 | 1,089 | 253 | 256 | 48.92 | 8.4 | 8.3 |
Emmanuel (MA) | 93 | 1,890 | 900 | 184 | 127 | 47.62 | 10.3 | 14.9 | 1,989 | 1,005 | 178 | 199 | 49.47 | 11.2 | 10.0 |
Regis (MA) | 100 | 2,001 | 975 | 226 | 218 | 48.73 | 8.9 | 9.2 | 2,128 | 1,104 | 246 | 188 | 48.12 | 8.7 | 11.3 |
St. Joseph (CT) | 96 | 1,966 | 952 | 226 | 200 | 48.42 | 8.7 | 9.8 | 2,131 | 1,122 | 253 | 254 | 47.35 | 8.4 | 8.4 |
Suffolk | 102 | 2,076 | 953 | 221 | 273 | 45.91 | 9.4 | 7.6 | 2,245 | 1,129 | 220 | 256 | 49.71 | 10.2 | 8.8 |
St. Joseph's (ME) | 99 | 1,688 | 759 | 189 | 216 | 44.96 | 8.9 | 7.8 | 1,918 | 998 | 262 | 237 | 47.97 | 7.3 | 8.1 |
Anna Maria | 89 | 1,303 | 560 | 186 | 163 | 42.98 | 7.0 | 8.0 | 2,098 | 1,388 | 441 | 232 | 33.84 | 4.8 | 9.0 |
Conference Average | 102 | 2,069 | 1,012 | 236 | 230 | 48.55 | 8.8 | 9.4 | 2,093 | 1,036 | 238 | 230 | 50.61 | 9.5 | 9.1 |
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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 |
61.45 |
2018-11-03 | Providence, RI |
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GAME |
60.76 |
2018-10-13 | Providence, RI |
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GAME |
59.65 |
2018-10-20 | Boston, Mass. |
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GAME |
58.13 |
2018-10-17 | Newton, Mass. |
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GAME |
57.83 |
2018-10-03 | Providence, RI |
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GAME |
57.67 |
2018-10-06 | Boston, Mass. |
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GAME |
57.61 |
2018-10-30 | New London, NH |
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GAME |
57.37 |
2018-09-08 | New London, NH |
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GAME |
57.33 |
2018-09-14 | Northfield, Vt. |
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GAME |
57.21 |
2018-09-29 | Weston, Mass. |
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Name | Team | Role |
---|---|---|
Kelly Delaney | JWU (Providence) | A |
Hannah Dolan | JWU (Providence) | A |
Mary Shelow | Emmanuel (MA) | A |
Jessica Whyte | Rivier | A |
Taylor Dunster | Rivier | D |
Faith Gray-Williams | Simmons | D |
Anna Allen | Colby-Sawyer | S |
Rank | Name | Team |
---|---|---|
1 | Brylee Frank | JWU (Providence) |
2 | Maria Coniglio | JWU (Providence) |
3 | Hayley Macken | Rivier |
4 | Kate Walker | JWU (Providence) |
5 | Elyssa Nicholas | JWU (Providence) |
Rank | Name | Team |
---|---|---|
1 | Maria Coniglio | JWU (Providence) |
2 | Kate Walker | JWU (Providence) |
3 | Katie Leidhold | JWU (Providence) |
4 | Courtney Collins | Rivier |
5 | Hannah Dolan | JWU (Providence) |
Rank | Name | Team |
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1 | Brylee Frank | JWU (Providence) |
2 | Hayley Macken | Rivier |
3 | Anna Allen | Colby-Sawyer |
4 | Emily Oliver | Norwich |
5 | Talia Lombardo | Suffolk |
Rank | Name | Team |
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1 | Elyssa Nicholas | JWU (Providence) |
2 | Taylor Dunster | Rivier |
3 | Avery Pollard | Rivier |
4 | Morgan Flynn | Colby-Sawyer |
5 | Olivia Addington | Lasell |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Brylee Frank | JWU (Providence) | 17.8849 |
2 | Hayley Macken | Rivier | 16.1947 |
3 | Kiana Perez | Lasell | 15.5799 |
4 | Maddie Bromley | Colby-Sawyer | 15.2660 |
5 | Katryna Veasy | Regis (MA) | 14.9832 |
6 | Morgan Flynn | Colby-Sawyer | 14.9656 |
7 | Anna Allen | Colby-Sawyer | 14.9429 |
8 | Olivia Addington | Lasell | 14.8313 |
9 | Faith Gray-Williams | Simmons | 14.7308 |
10 | Jaiden Williams | Albertus Magnus | 14.5645 |
Rk. | Name | Team | OWPA |
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1 | Brylee Frank | JWU (Providence) | 11.0007 |
2 | Hayley Macken | Rivier | 10.0785 |
3 | Anna Allen | Colby-Sawyer | 9.6228 |
4 | Kate Walker | JWU (Providence) | 8.6293 |
5 | Jaiden Williams | Albertus Magnus | 8.5126 |
6 | Emily Oliver | Norwich | 8.1544 |
7 | Courtney Collins | Rivier | 7.2443 |
8 | Faith Gray-Williams | Simmons | 7.1366 |
9 | Maria Coniglio | JWU (Providence) | 7.0843 |
10 | Kiana Perez | Lasell | 7.0836 |
Rk. | Name | Team | DWPA |
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1 | Morgan Flynn | Colby-Sawyer | 14.1188 |
2 | Dakhensey Marcellus | Suffolk | 12.6911 |
3 | Elyssa Nicholas | JWU (Providence) | 12.5833 |
4 | Jenelle Thompson | St. Joseph's (ME) | 12.5096 |
5 | Jesselle Guzman | Albertus Magnus | 12.0064 |
6 | Janell Molina | St. Joseph (CT) | 11.2786 |
7 | Julia Fusco | Simmons | 10.7659 |
8 | Allie Amos | Lasell | 10.4523 |
9 | Olivia Addington | Lasell | 10.3080 |
10 | Maddie Bromley | Colby-Sawyer | 9.5808 |
Rk. | Name | Team | WPA/S |
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1 | Kiana Perez | Lasell | 0.1731 |
2 | Hayley Macken | Rivier | 0.1723 |
3 | Brylee Frank | JWU (Providence) | 0.1687 |
4 | Olivia Addington | Lasell | 0.1545 |
5 | Anna Allen | Colby-Sawyer | 0.1541 |
6 | Jaiden Williams | Albertus Magnus | 0.1533 |
7 | Katryna Veasy | Regis (MA) | 0.1498 |
8 | Kathryn Farnum | Norwich | 0.1481 |
9 | Emily Oliver | Norwich | 0.1468 |
10 | Maria Coniglio | JWU (Providence) | 0.1452 |
Rk. | Name | Team | OWPA/S |
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1 | Hayley Macken | Rivier | 0.1072 |
2 | Brylee Frank | JWU (Providence) | 0.1038 |
3 | Anna Allen | Colby-Sawyer | 0.0992 |
4 | Kate Walker | JWU (Providence) | 0.0928 |
5 | Emily Oliver | Norwich | 0.0927 |
6 | Jaiden Williams | Albertus Magnus | 0.0896 |
7 | Courtney Collins | Rivier | 0.0852 |
8 | Kiana Perez | Lasell | 0.0787 |
9 | Maria Coniglio | JWU (Providence) | 0.0746 |
10 | Kathryn Farnum | Norwich | 0.0742 |
Rk. | Name | Team | DWPA/S |
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1 | Jenelle Thompson | St. Joseph's (ME) | 0.1526 |
2 | Dakhensey Marcellus | Suffolk | 0.1308 |
3 | Morgan Flynn | Colby-Sawyer | 0.1295 |
4 | Allie Amos | Lasell | 0.1259 |
5 | Brianna Dawson | Norwich | 0.1228 |
6 | Jesselle Guzman | Albertus Magnus | 0.1225 |
7 | Elyssa Nicholas | JWU (Providence) | 0.1222 |
8 | Janell Molina | St. Joseph (CT) | 0.1175 |
9 | Katharine Journeay | Emmanuel (MA) | 0.1167 |
10 | Olivia Addington | Lasell | 0.1074 |
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.