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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

OAC - Conference Overview

Conference Division: Division 3
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Muskingum 1,590.2749 1,550.3618 1,570.1916 60.12 65.67 0.258
2nd Ohio Northern 1,569.7569 1,528.6116 1,549.0476 59.05 65.57 0.237
3rd Otterbein 1,543.4939 1,505.9406 1,524.6016 57.13 63.86 0.216
4th Heidelberg 1,529.5795 1,496.3253 1,512.8610 57.35 63.10 0.185
5th Mount Union 1,509.7500 1,483.0337 1,496.3322 61.44 57.09 0.197
6th Baldwin Wallace 1,486.2602 1,444.0146 1,464.9852 54.48 62.06 0.159
7th John Carroll 1,409.1168 1,371.1837 1,390.0209 55.72 54.20 0.085
8th Marietta 1,387.5926 1,348.0522 1,367.6795 54.12 51.98 0.088
9th Capital 1,296.1767 1,256.3975 1,276.1321 48.49 48.16 -0.044
10th Wilmington (OH) 1,190.2024 1,155.4127 1,172.6785 48.17 44.03 -0.086

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 Muskingum 0.3074 41.28 10.54 37.50 44.76 2.86 9.14
2nd Otterbein 0.3068 43.06 12.39 40.34 41.55 3.67 11.81
3rd Ohio Northern 0.2946 38.49 9.04 35.81 49.27 3.58 9.21
4th Heidelberg 0.2800 39.74 11.75 37.28 48.14 3.26 9.10
5th Mount Union 0.2793 39.34 11.41 36.15 45.57 4.29 10.46
6th Baldwin Wallace 0.2515 39.54 14.39 35.61 47.81 3.73 10.83
7th Marietta 0.2345 35.97 12.52 33.36 52.10 3.79 9.61
8th John Carroll 0.2188 34.92 13.04 32.20 51.08 3.85 9.88
9th Capital 0.1440 31.59 17.19 29.90 54.46 5.32 9.86
10th Wilmington (OH) 0.0854 25.40 16.86 23.72 64.25 3.82 10.09

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Muskingum 0.0489 22.75 17.86 20.80 62.40 4.78 5.81
2nd Ohio Northern 0.0573 24.30 18.57 23.25 62.71 5.81 4.33
3rd Mount Union 0.0818 24.79 16.61 22.89 60.29 5.22 6.23
4th Otterbein 0.0904 26.08 17.04 23.87 60.38 5.22 4.82
5th Baldwin Wallace 0.0920 26.40 17.20 23.96 59.19 4.10 6.37
6th Heidelberg 0.0947 26.77 17.30 25.27 58.91 5.22 4.29
7th John Carroll 0.1340 28.99 15.60 26.79 55.90 3.32 6.30
8th Marietta 0.1465 30.49 15.84 28.11 55.01 4.55 9.24
9th Wilmington (OH) 0.1719 32.34 15.15 30.33 57.33 3.09 11.38
10th Capital 0.1883 33.64 14.81 31.03 53.81 3.38 8.97

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,432.4530 1,447.7075 1,459.4134 1,466.0498 1,451.4059
Difference 15.2545 26.9604 33.5968 25.2706

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Muskingum 98 2,128 1,241 150 141 58.32 14.2 15.1 1,578 666 115 160 57.80 13.7 9.9
Ohio Northern 117 2,524 1,342 174 138 53.17 14.5 18.3 2,131 910 115 191 57.30 18.5 11.2
Otterbein 109 2,377 1,231 236 288 51.79 10.1 8.3 1,958 840 122 187 57.10 16.0 10.5
Mount Union 102 2,044 1,165 187 132 57.00 10.9 15.5 1,820 927 140 148 49.07 13.0 12.3
Heidelberg 113 2,302 1,157 155 166 50.26 14.9 13.9 2,092 929 119 229 55.59 17.6 9.1
John Carroll 109 2,399 1,316 199 212 54.86 12.1 11.3 2,225 1,124 159 196 49.48 14.0 11.4
Baldwin Wallace 103 1,927 986 203 264 51.17 9.5 7.3 1,791 851 135 183 52.49 13.3 9.8
Marietta 109 2,165 1,122 179 192 51.82 12.1 11.3 2,248 1,199 235 230 46.66 9.6 9.8
Capital 91 1,394 667 157 125 47.85 8.9 11.2 1,626 917 193 181 43.60 8.4 9.0
Wilmington (OH) 73 1,096 481 107 161 43.89 10.2 6.8 1,601 988 199 140 38.29 8.0 11.4
Conference Average 102 2,036 1,071 175 182 52.01 11.7 11.9 1,907 935 153 185 50.74 13.2 10.4
  • 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 OAC

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

76.07

2019-09-24 Ada, Ohio
Ohio Northern
Muskingum
3
2
25
20
11
25
28
30
25
19
15
9
GAME

74.85

2019-11-02
Heidelberg
Muskingum
2
3
25
22
25
23
18
25
19
25
15
17
GAME

74.13

2019-10-29 Ada, Ohio
Ohio Northern
Otterbein
2
3
24
26
25
22
12
25
25
22
13
15
GAME

72.36

2019-10-15
Heidelberg
Baldwin Wallace
3
2
24
26
26
24
20
25
25
20
15
13
GAME

70.58

2019-11-05
Otterbein
Mount Union
3
1
23
25
25
19
25
11
25
18
GAME

70.44

2019-10-04
Otterbein
Mount Union
2
3
17
25
16
25
29
27
25
17
8
15
GAME

70.10

2019-10-18
Otterbein
Heidelberg
3
1
22
25
25
23
25
22
25
19
GAME

69.81

2019-10-04 Marietta, Ohio
Marietta
Ohio Northern
1
3
18
25
25
21
15
25
14
25
GAME

69.81

2019-10-05
Marietta
Ohio Northern
1
3
18
25
25
21
15
25
14
25
GAME

69.73

2019-10-29 Berea, Ohio
Baldwin Wallace
Mount Union
3
2
25
20
17
25
25
23
22
25
15
11

HuskerGeek OAC All-Conference

1st Team

Name Team Role
A
A
A
A
D
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 19.4336
2 19.2588
3 19.0341
4 18.9877
5 17.9869
6 16.7500
7 16.3602
8 16.3418
9 16.3233
10 15.5762

Offensive WPA

Rk. Name Team OWPA
1 11.5173
2 11.4404
3 11.0912
4 10.4412
5 10.3436
6 10.1278
7 9.7904
8 9.7049
9 9.6689
10 9.5369

Defensive WPA

Rk. Name Team DWPA
1 18.6710
2 15.8439
3 14.3128
4 12.9942
5 12.9147
6 12.3437
7 12.0251
8 11.9659
9 11.5091
10 10.4772

WPA Per Set

Rk. Name Team WPA/S
1 0.2349
2 0.1978
3 0.1920
4 0.1869
5 0.1854
6 0.1843
7 0.1763
8 0.1715
9 0.1709
10 0.1697

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1361
2 0.1255
3 0.1179
4 0.1167
5 0.1163
6 0.1142
7 0.1132
8 0.1024
9 0.1023
10 0.1019

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1682
2 0.1556
3 0.1523
4 0.1477
5 0.1452
6 0.1395
7 0.1368
8 0.1308
9 0.1293
10 0.1230


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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