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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

Atlantic 10 - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Dayton 1,570.8123 1,542.2271 1,556.4540 44.99 64.77 0.115
2nd VCU 1,541.1327 1,505.4145 1,523.1689 44.21 60.55 0.057
3rd La Salle 1,465.9091 1,440.4328 1,453.1151 40.20 57.45 -0.029
4th Saint Louis 1,450.6386 1,424.4278 1,437.4735 39.96 55.21 -0.041
5th Davidson 1,424.2515 1,386.9959 1,405.5002 39.70 54.04 -0.044
6th Duquesne 1,406.7599 1,384.2702 1,395.4698 39.38 53.62 -0.078
7th George Mason 1,408.6213 1,380.3589 1,394.4185 39.52 52.12 -0.091
8th Fordham 1,401.0308 1,372.7264 1,386.8064 37.81 53.82 -0.068
9th Rhode Island 1,402.9299 1,365.2889 1,383.9814 37.13 53.54 -0.089
10th George Washington 1,396.1205 1,371.7171 1,383.8650 38.10 53.25 -0.092

ViPR Adjusted Offenses and Defenses are adjusted to expected values against an average team in the same division.

ViPR Division Adjusted Offenses

Rnk. Team Hit% Kill% HE% AST% O_DIG% O_BLK% ACE%
1st Dayton 0.2865 41.49 12.84 38.37 44.00 4.83 5.24
2nd VCU 0.2179 36.51 14.72 34.10 49.59 5.39 6.44
3rd La Salle 0.2039 34.88 14.49 32.95 50.66 5.55 5.82
4th Davidson 0.1938 32.85 13.46 30.97 55.20 6.03 5.74
5th Saint Louis 0.1897 35.48 16.51 33.14 50.47 6.07 6.39
6th Fordham 0.1732 32.38 15.06 30.22 53.60 5.45 3.88
7th Duquesne 0.1629 32.51 16.22 31.04 53.65 6.15 5.35
8th Rhode Island 0.1424 31.78 17.54 29.95 52.94 7.98 5.51
9th George Mason 0.1389 31.29 17.40 29.71 52.93 6.02 5.84
10th George Washington 0.1376 30.83 17.07 28.76 55.67 5.84 5.38

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st VCU 0.1608 34.63 18.56 32.70 46.77 8.59 5.78
2nd Dayton 0.1719 33.59 16.40 31.57 51.38 6.95 5.33
3rd George Washington 0.2299 37.15 14.16 35.28 49.27 4.97 7.10
4th George Mason 0.2300 37.67 14.67 35.01 47.31 5.54 6.53
5th Saint Louis 0.2302 36.76 13.74 34.18 50.82 4.81 8.23
6th Rhode Island 0.2310 37.94 14.84 35.71 48.49 5.28 7.06
7th La Salle 0.2324 36.47 13.23 33.29 51.41 3.93 5.24
8th Davidson 0.2383 38.99 15.16 35.84 48.84 4.66 7.40
9th Fordham 0.2408 38.15 14.07 35.62 47.46 5.49 6.19
10th Duquesne 0.2410 38.16 14.06 35.63 48.17 4.98 6.87

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,432.0253 1,422.4917 1,412.1306 1,408.2155 1,418.7158
Difference -9.5336 -19.8947 -23.8098 -17.7460

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Dayton 118 2,593 1,127 143 259 43.46 18.1 10.0 2,383 898 138 201 62.32 17.3 11.9
VCU 105 2,326 1,025 155 209 44.07 15.0 11.1 2,213 893 125 196 59.65 17.7 11.3
La Salle 107 2,416 1,053 156 231 43.58 15.5 10.5 2,321 947 112 206 59.20 20.7 11.3
Fordham 108 2,221 933 110 196 42.01 20.2 11.3 2,282 1,003 149 216 56.05 15.3 10.6
Duquesne 102 2,216 937 130 167 42.28 17.0 13.3 2,289 1,019 155 225 55.48 14.8 10.2
Davidson 87 1,841 780 118 155 42.37 15.6 11.9 1,906 854 134 150 55.19 14.2 12.7
George Mason 87 1,824 779 123 116 42.71 14.8 15.7 1,923 889 123 166 53.77 15.6 11.6
George Washington 98 2,074 859 126 167 41.42 16.5 12.4 2,208 996 149 209 54.89 14.8 10.6
Rhode Island 96 1,970 795 118 204 40.36 16.7 9.7 2,112 947 148 215 55.16 14.3 9.8
Saint Louis 98 2,051 818 131 272 39.88 15.7 7.5 2,224 1,009 186 209 54.63 12.0 10.6
Conference Average 101 2,153 911 131 198 42.21 16.5 11.3 2,186 946 142 199 56.63 15.7 11.0
  • Sets - Team Sets Played
  • S - Serves
  • SP - Service Points
  • SA - Service Aces
  • SE - Service Errors
  • SP% - Service Point Percentage
  • S/SA - Serves Per Service Ace
  • S/SE - Serves Per Service Error
  • OS - Opponent Serves
  • SPA - Service Points Allowed
  • SAA - Service Aces Allowed
  • SEA - Service Errors Against
  • SO% - Team Sideout Percentage
  • OS/SAA - Serves Per Ace Allowed
  • OS/SEA - Serves Per Error Against

The Best Games in the Atlantic 10

Game Link EPIC Game Date Location Teams Sets Set 1 Set 2 Set 3 Set 4 Set 5
GAME

70.78

2018-09-21 Richmond, Va.
VCU
La Salle
3
1
30
28
25
19
26
28
25
20
GAME

70.73

2018-11-18 Richmond, Va.
VCU
Dayton
2
3
25
18
15
25
25
19
16
25
12
15
GAME

70.65

2018-11-17 Richmond, VA
Dayton
La Salle
3
1
25
20
25
20
24
26
25
22
GAME

70.02

2018-09-30 Dayton, OH
Dayton
VCU
1
3
25
18
17
25
22
25
22
25
GAME

69.37

2018-09-22 Washington, D.C.
George Washington
Dayton
1
3
26
28
26
24
22
25
20
25
GAME

69.34

2018-10-05 Philadelphia, Pa.
La Salle
Saint Louis
3
1
25
11
28
26
25
27
25
21
GAME

69.03

2018-11-16 Richmond, Va.
Duquesne
La Salle
1
3
25
17
21
25
25
27
26
28
GAME

68.29

2018-11-02 St. Louis, Mo.
Saint Louis
Dayton
1
3
25
22
22
25
20
25
17
25
GAME

68.14

2018-09-23 Richmond, Va.
VCU
Duquesne
3
1
25
22
24
26
25
21
25
23
GAME

67.89

2018-10-26 Richmond, Va.
VCU
Dayton
3
2
25
20
16
25
19
25
25
18
15
6

HuskerGeek Atlantic 10 All-Conference

1st Team

Name Team Role
A
A
A
A
D
S
S

2nd Team

Name Team Role
A
A
A
A
D
S
S

Player of the Year

Rank Name Team
1
2
3
4
5

Attacker of the Year

Rank Name Team
1
2
3
4
5

Setter of the Year

Rank Name Team
1
2
3
4
5

Defensive Player of the Year

Rank Name Team
1
2
3
4
5

WPA

Rk. Name Team WPA
1 23.5935
2 21.3023
3 20.0145
4 19.0824
5 18.9959
6 18.1729
7 17.7615
8 16.9118
9 16.6589
10 16.5544

Offensive WPA

Rk. Name Team OWPA
1 16.1394
2 15.3599
3 14.2685
4 13.6132
5 11.5845
6 11.5560
7 10.7639
8 9.6606
9 9.3353
10 9.0564

Defensive WPA

Rk. Name Team DWPA
1 19.0626
2 15.9997
3 14.7518
4 14.1026
5 13.8531
6 12.1859
7 12.0349
8 11.7201
9 11.5589
10 10.6190

WPA Per Set

Rk. Name Team WPA/S
1 0.2159
2 0.1999
3 0.1991
4 0.1975
5 0.1871
6 0.1799
7 0.1792
8 0.1741
9 0.1735
10 0.1645

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1368
2 0.1334
3 0.1332
4 0.1302
5 0.1272
6 0.1256
7 0.1170
8 0.1098
9 0.1086
10 0.0943

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1782
2 0.1569
3 0.1505
4 0.1383
5 0.1356
6 0.1329
7 0.1283
8 0.1221
9 0.1174
10 0.1061


Explanations

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.

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