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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

Lone Star - Conference Overview

Conference Division: Division 2
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Angelo St. 1,646.1598 1,643.0368 1,644.5975 54.13 69.59 0.226
2nd Tarleton St. 1,614.8851 1,622.9654 1,618.9202 52.41 67.23 0.156
3rd Tex. A&M-Kingsville 1,581.5067 1,580.8099 1,581.1583 51.59 64.94 0.129
4th West Tex. A&M 1,540.9857 1,555.8101 1,548.3802 49.53 62.82 0.114
5th Tex. A&M-Commerce 1,531.1344 1,540.7369 1,535.9281 51.51 60.60 0.097
6th Eastern N.M. 1,528.5725 1,536.7159 1,532.6388 48.16 62.18 0.091
7th Texas Woman's 1,472.1967 1,473.8550 1,473.0256 44.39 59.82 0.037
8th Midwestern St. 1,472.2522 1,470.2691 1,471.2603 46.53 58.46 0.055
9th Cameron 1,401.8154 1,391.8820 1,396.8399 41.31 54.91 -0.038

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 Angelo St. 0.3070 40.44 9.74 37.13 48.36 3.00 7.19
2nd Tarleton St. 0.2734 41.39 14.05 37.97 43.31 4.60 7.71
3rd Tex. A&M-Kingsville 0.2526 39.81 14.55 37.16 46.58 4.24 8.45
4th West Tex. A&M 0.2455 38.01 13.46 35.37 48.19 5.23 5.54
5th Eastern N.M. 0.2450 41.28 16.78 38.82 41.76 5.16 6.59
6th Midwestern St. 0.2166 36.78 15.11 33.37 47.01 4.19 8.50
7th Tex. A&M-Commerce 0.2140 37.62 16.22 34.98 44.62 4.99 8.20
8th Texas Woman's 0.2132 34.65 13.33 31.87 53.01 4.13 6.53
9th Cameron 0.1763 30.27 12.64 28.47 55.99 4.73 5.78

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Angelo St. 0.0806 25.05 16.99 23.02 60.14 5.84 3.12
2nd Tex. A&M-Commerce 0.1175 28.35 16.61 26.61 57.10 6.03 5.52
3rd Tarleton St. 0.1178 27.33 15.56 25.89 59.10 6.00 4.16
4th Tex. A&M-Kingsville 0.1234 29.34 17.00 27.13 57.19 6.63 4.14
5th West Tex. A&M 0.1315 30.69 17.54 28.93 53.56 6.24 4.39
6th Eastern N.M. 0.1537 30.65 15.28 28.46 55.76 4.49 3.69
7th Midwestern St. 0.1620 31.31 15.11 28.88 52.78 4.21 6.12
8th Texas Woman's 0.1762 31.98 14.36 29.91 55.11 4.63 6.20
9th Cameron 0.2144 35.11 13.67 33.31 53.09 2.96 6.55

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,533.6388 1,537.3302 1,534.2262 1,538.9824 1,536.0444
Difference 3.6914 0.5874 5.3436 3.2075

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Angelo St. 127 3,043 1,481 181 267 48.67 16.8 11.4 2,491 897 98 184 63.99 25.4 13.5
Tarleton St. 120 2,775 1,321 182 199 47.60 15.2 13.9 2,388 903 121 214 62.19 19.7 11.2
Tex. A&M-Kingsville 134 3,001 1,438 228 196 47.92 13.2 15.3 2,616 1,034 134 206 60.47 19.5 12.7
West Tex. A&M 124 2,723 1,220 120 122 44.80 22.7 22.3 2,626 1,111 140 186 57.69 18.8 14.1
Tex. A&M-Commerce 125 2,760 1,291 189 154 46.78 14.6 17.9 2,650 1,175 164 197 55.66 16.2 13.5
Eastern N.M. 119 2,514 1,088 144 214 43.28 17.5 11.7 2,528 1,088 119 179 56.96 21.2 14.1
Midwestern St. 118 2,345 995 177 302 42.43 13.2 7.8 2,488 1,153 179 188 53.66 13.9 13.2
Texas Woman's 112 2,333 939 122 166 40.25 19.1 14.1 2,499 1,122 174 188 55.10 14.4 13.3
Cameron 108 2,068 786 100 100 38.01 20.7 20.7 2,475 1,223 179 184 50.59 13.8 13.5
Conference Average 121 2,618 1,173 160 191 44.42 17.0 15.0 2,529 1,078 145 192 57.37 18.1 13.2
  • 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 Lone Star

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

77.67

2016-10-18 Kingsville, TX
Tex. A&M-Kingsville
Tarleton St.
3
2
23
25
25
21
23
25
25
22
15
12
GAME

75.35

2016-10-28 San Angelo, Texas
Angelo St.
West Tex. A&M
3
1
25
15
25
20
22
25
25
22
GAME

74.80

2016-09-24 Canyon, TX
West Tex. A&M
Angelo St.
3
2
25
23
19
25
20
25
27
25
15
11
GAME

74.13

2016-10-01 San Angelo, Texas
Angelo St.
Tex. A&M-Kingsville
3
1
25
16
25
23
20
25
25
23
GAME

74.04

2016-10-07 Kingsville, TX
Tex. A&M-Kingsville
West Tex. A&M
3
2
18
25
25
19
23
25
25
17
15
11
GAME

73.33

2016-11-04 Denton, TX
Texas Woman's
Eastern N.M.
1
3
23
25
29
27
23
25
10
25
GAME

72.89

2016-11-19 San Angelo, Texas
Angelo St.
Tarleton St.
3
0
25
20
25
17
25
20
GAME

72.85

2016-10-25 Denton, TX
Texas Woman's
Tex. A&M-Commerce
1
3
20
25
23
25
29
27
16
25
GAME

72.83

2016-11-01 Kingsville, TX
Tex. A&M-Kingsville
Angelo St.
0
3
22
25
21
25
22
25
GAME

72.43

2016-09-20 Stephenville, TX
Tarleton St.
Angelo St.
0
3
23
25
22
25
24
26

HuskerGeek Lone Star All-Conference

1st Team

Name Team Role
A
A
A
A
A
D
S

2nd Team

Name Team Role
A
A
A
A
D
D
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 33.5801
2 30.3243
3 29.5420
4 27.8999
5 25.5970
6 23.1320
7 23.1065
8 22.8955
9 21.9492
10 20.4322

Offensive WPA

Rk. Name Team OWPA
1 21.3603
2 19.0566
3 16.6906
4 16.6465
5 16.0552
6 15.1170
7 14.5816
8 14.4510
9 13.8855
10 11.6868

Defensive WPA

Rk. Name Team DWPA
1 18.3557
2 18.0337
3 16.8946
4 16.5118
5 16.0417
6 15.6565
7 15.3746
8 13.6779
9 13.3182
10 12.2199

WPA Per Set

Rk. Name Team WPA/S
1 0.2644
2 0.2527
3 0.2345
4 0.2255
5 0.2229
6 0.2133
7 0.2065
8 0.1925
9 0.1846
10 0.1777

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1682
2 0.1672
3 0.1391
4 0.1387
5 0.1348
6 0.1235
7 0.1225
8 0.1219
9 0.1103
10 0.1076

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1673
2 0.1517
3 0.1503
4 0.1325
5 0.1294
6 0.1260
7 0.1195
8 0.1173
9 0.1140
10 0.1119


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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