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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

Metro Atlantic - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Fairfield 1,353.7264 1,337.4473 1,345.5623 40.45 55.63 -0.050
2nd Siena 1,337.7255 1,312.8022 1,325.2052 39.66 54.66 -0.046
3rd Niagara 1,320.6626 1,297.0236 1,308.7898 40.27 52.23 -0.070
4th Canisius 1,307.7043 1,296.5349 1,302.1076 39.09 52.76 -0.085
5th Iona 1,286.1978 1,262.9378 1,274.5147 37.38 53.68 -0.088
6th Manhattan 1,275.3392 1,266.0854 1,270.7039 36.95 52.42 -0.112
7th Loyola Maryland 1,237.8728 1,214.1215 1,225.9397 35.20 50.43 -0.124
8th Marist 1,225.6181 1,196.6740 1,211.0596 34.28 49.89 -0.165
9th Rider 1,201.7528 1,171.0225 1,186.2882 33.78 49.18 -0.153
10th Saint Peter's 1,042.8168 1,045.4803 1,044.1477 29.03 39.70 -0.306

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 Siena 0.1703 33.28 16.25 30.80 49.36 6.56 4.45
2nd Fairfield 0.1683 33.69 16.86 31.83 51.64 5.40 4.30
3rd Niagara 0.1673 31.24 14.51 28.92 55.35 5.31 5.39
4th Canisius 0.1611 31.07 14.95 28.95 54.81 6.65 4.80
5th Iona 0.1583 30.52 14.69 28.46 55.72 5.77 5.15
6th Loyola Maryland 0.1447 32.39 17.92 30.70 51.86 6.91 5.24
7th Manhattan 0.1419 29.82 15.63 28.34 55.32 6.86 3.20
8th Marist 0.1310 30.89 17.79 29.24 53.51 7.02 4.57
9th Rider 0.1222 26.53 14.31 24.74 57.46 6.11 4.17
10th Saint Peter's 0.0391 21.77 17.86 20.73 64.61 6.81 5.47

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Siena 0.2159 34.96 13.37 32.07 50.56 4.34 5.86
2nd Fairfield 0.2184 35.38 13.54 32.65 52.72 4.10 5.95
3rd Niagara 0.2371 37.58 13.87 34.50 48.57 3.76 6.51
4th Iona 0.2460 37.63 13.02 35.25 49.69 3.58 6.04
5th Canisius 0.2465 39.85 15.20 36.60 45.27 5.35 5.89
6th Manhattan 0.2537 38.09 12.72 35.31 48.73 3.28 6.90
7th Loyola Maryland 0.2690 39.77 12.87 36.30 48.48 4.10 5.99
8th Rider 0.2753 39.02 11.50 36.07 45.51 2.64 6.97
9th Marist 0.2961 42.94 13.33 39.94 42.69 4.93 8.36
10th Saint Peter's 0.3447 46.48 12.01 43.37 41.68 2.82 9.12

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,249.4319 1,263.0761 1,265.5192 1,268.3165 1,261.5859
Difference 13.6442 16.0873 18.8846 16.2054

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Fairfield 110 2,483 1,149 133 167 46.28 18.7 14.9 2,317 961 130 206 58.52 17.8 11.2
Siena 129 2,868 1,301 163 280 45.36 17.6 10.2 2,713 1,140 146 189 57.98 18.6 14.4
Niagara 111 2,449 1,127 160 216 46.02 15.3 11.3 2,373 1,050 140 192 55.75 17.0 12.4
Canisius 110 2,433 1,095 142 174 45.01 17.1 14.0 2,368 1,032 128 206 56.42 18.5 11.5
Manhattan 118 2,505 1,112 121 129 44.39 20.7 19.4 2,439 1,048 163 207 57.03 15.0 11.8
Loyola Maryland 108 2,291 980 153 248 42.78 15.0 9.2 2,374 1,063 130 184 55.22 18.3 12.9
Iona 110 2,337 987 144 168 42.23 16.2 13.9 2,419 1,071 138 212 55.73 17.5 11.4
Rider 110 2,300 979 138 189 42.57 16.7 12.2 2,395 1,075 154 197 55.12 15.6 12.2
Marist 107 2,125 885 123 144 41.65 17.3 14.8 2,257 1,028 181 172 54.45 12.5 13.1
Saint Peter's 105 1,870 686 132 181 36.68 14.2 10.3 2,561 1,416 221 204 44.71 11.6 12.6
Conference Average 112 2,366 1,030 141 190 43.30 16.9 13.0 2,422 1,088 153 197 55.09 16.2 12.3
  • 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 Metro Atlantic

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

69.59

2012-09-16 Fairfield, Conn.
Fairfield
Manhattan
3
1
27
25
30
28
23
25
25
19
GAME

67.14

2012-11-18 Fairfield, Conn.
Fairfield
Siena
3
2
20
25
25
27
25
21
25
20
15
11
GAME

66.83

2012-09-30 Riverdale, N.Y.
Manhattan
Canisius
1
3
21
25
25
20
24
26
24
26
GAME

65.59

2012-11-11 Lawrenceville, N.J.
Rider
Marist
2
3
25
22
25
19
20
25
23
25
14
16
GAME

65.15

2012-10-13 Buffalo, N.Y.
Canisius
Fairfield
3
2
23
25
22
25
25
21
25
15
17
15
GAME

64.17

2012-10-27 Fairfield, Conn.
Fairfield
Iona
3
2
27
29
24
26
25
21
25
21
15
5
GAME

63.89

2012-11-10 New Rochelle, NY
Iona
Canisius
3
2
26
24
21
25
14
25
25
19
18
16
GAME

63.68

2012-10-21 Buffalo, N.Y.
Canisius
Marist
3
1
25
22
27
29
25
21
25
18
GAME

63.54

2012-10-07 New Rochelle, NY
Iona
Siena
2
3
25
27
25
17
22
25
25
23
9
15
GAME

63.21

2012-11-04 Niagara Univ., N.Y.
Niagara
Manhattan
2
3
22
25
25
17
15
25
25
14
17
19

HuskerGeek Metro Atlantic All-Conference

1st Team

Name Team Role
A
A
A
A
D
D
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 27.1873
2 25.9108
3 25.5071
4 24.3989
5 24.3622
6 22.2206
7 21.5226
8 21.3138
9 18.8533
10 18.6343

Offensive WPA

Rk. Name Team OWPA
1 17.2107
2 16.6899
3 12.2804
4 12.2184
5 12.2173
6 12.1117
7 11.3951
8 10.9490
9 10.6952
10 10.2645

Defensive WPA

Rk. Name Team DWPA
1 25.8192
2 20.6839
3 18.5218
4 18.4019
5 18.2705
6 17.6013
7 17.5237
8 13.6924
9 13.5504
10 12.7858

WPA Per Set

Rk. Name Team WPA/S
1 0.2319
2 0.2159
3 0.2108
4 0.2056
5 0.2002
6 0.1957
7 0.1920
8 0.1918
9 0.1836
10 0.1726

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1517
2 0.1355
3 0.1106
4 0.1101
5 0.1072
6 0.1063
7 0.1055
8 0.1037
9 0.1004
10 0.0999

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2001
2 0.1880
3 0.1740
4 0.1684
5 0.1673
6 0.1615
7 0.1524
8 0.1291
9 0.1229
10 0.1196


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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