{"id":558893,"date":"2016-11-28T18:53:59","date_gmt":"2016-11-28T23:53:59","guid":{"rendered":"https:\/\/thebloguin.wordpress.com\/?p=558893"},"modified":"2016-11-28T18:53:59","modified_gmt":"2016-11-28T23:53:59","slug":"net-set-di-rankings-112816","status":"publish","type":"post","link":"https:\/\/thesportsdaily.com\/news\/net-set-di-rankings-112816\/","title":{"rendered":"Net Set DI Rankings 11\/28\/16"},"content":{"rendered":"

What is the difference between a \u201cpoll\u201d and a \u201cranking\u201d when applied to sports teams? A poll, sometimes known as a rating, involves an opinion of the team\u2019s performances by people who are knowledgeable about both the sport involved and the teams in question. Hence a poll is a vote and a subsequent ordering of teams based upon this vote. A ranking usually involves a mathematical calculation based on the performances of the teams in question and the performances of their opponents. Therefore, a ranking is a statistical concept which evaluates the performances of teams. In general, polls and rankings complement each other because each represents a different viewpoint and a different \u201cskill set\u201d in terms of evaluating volleyball.<\/p>\n

The Net Set Ranking is a numerical average based upon the performances of teams in four other polls or rankings. In the Net Set Ranking, the team\u2019s position in each of the four polls is summed and then averaged to create a Net Set Index. This net Set Index is then arranged, or ranked, in ascending order, with the lowest Net Set Index determining the number 1 team in the Net Set Ranking, and so forth. By combining polls and rankings into a single index number, we obtain both the mathematical benefits of the rankings and the human performance insights of the coaches from the polls.<\/p>\n

Net Set Rankings and the Net Set Index are an average from these four polls or rankings.<\/p>\n

1. The AVCA Coaches Poll, 11\/28\/16 (https:\/\/www.avca.org\/polls\/di-women\/index.html<\/a>).<\/p>\n

AVCA, or the American Volleyball Coaches Association, publishes an outstanding weekly poll for each volleyball division from its member coaches in that division. Thus, DI coaches are voting on the teams in the DI poll.<\/p>\n

2. The Rich Kern Poll, 11\/28\/16 (http:\/\/www.richkern.com\/vb\/FreePage.asp<\/a>).<\/p>\n

Richkern.com has a free portion and a much larger premium service. The premium service is well worth the modest subscription fee of $25.00 annually. This poll has been around for a long time and the pollsters are journalists and volleyball fans who really know their stuff. To see the Rich Kern Poll intact, and lots of other neat volleyball stuff, go to: (http:\/\/www.richkern.com\/vb\/rankings\/FreePageRankings.asp<\/a>).<\/p>\n

3. The Pablo Rankings, 11\/28\/16 (http:\/\/www.richkern.com\/vb\/FreePage.asp<\/a>).<\/p>\n

The Pablo Rankings are an incredibly ingenious ranking system that operates on a probabilistic, algorithmic approach and analyzes and measures the difference in abilities between two teams overall and in a match. In terms of accuracy and predictive analytics, the Pablo Rankings are the most accurate mathematical model available today. You can find a detailed explanation of the Pablo Rankings at this web location.<\/p>\n

http:\/\/www.richkern.com\/vb\/rankings\/PabloFAQ.asp<\/a> . View the Pablo Rankings, the best pure statistical ranking available, at RichKern.com:<\/p>\n

(http:\/\/www.richkern.com\/vb\/rankings\/FreePageRankings.asp<\/a>).<\/p>\n

4. The NCAA RPI Index, 11\/28\/16 (http:\/\/www.ncaa.com\/rankings\/volleyball-women\/d1\/<\/a>).<\/p>\n

The RPI ranking is one of the discriminators for determining the at-large bids to the National Championship Tournament. Here is the basic formula for the RPI rankings currently used by the NCAA. Please note that several variations of this formula exist, but the one below is the basic formula.<\/p>\n

RPI = (Winning %*.25) + (Opponent\u2019s Winning %*.50) + (Opponent\u2019s Opponents Winning *.25)<\/p>\n

(Winning % is calculated by dividing team’s wins by the number of games played.)<\/p>\n

As you can see from this formula above, 75% of the RPI comes from how a team\u2019s opponents performed (aka Strength of Schedule), while only 25% of the RPI is based on the team\u2019s actual performance. Quite frankly, that isn\u2019t correct, statistically or logically. Nonetheless, it is used by the NCAA for seeding and at-large bids. To see the all NCAA Division I RPI Index rankings, go to this web location:<\/p>\n

(http:\/\/www.ncaa.com\/rankings\/volleyball-women\/d1\/ncaa-womens-volleyball-rpi<\/a>).<\/p>\n

Now, on to the Net Set Ranking for November 28, 2016. As expected after their spectacular weekend, Minnesota moved to the top of the two polls while staying high in both rankings.\u00a0The NCAA DI women\u2019s regional tournaments are going to be quite a struggle.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Net Set #<\/b><\/p>\n<\/td>\n

\n

School <\/b><\/p>\n<\/td>\n

\n

Conference<\/b><\/p>\n<\/td>\n

\n

2016 W-L<\/b><\/p>\n<\/td>\n

\n

NS Index<\/b><\/p>\n<\/td>\n

\n

AVCA Poll<\/b><\/p>\n<\/td>\n

\n

Rich Kern Poll<\/b><\/p>\n<\/td>\n

\n

NCAA RPI <\/b><\/p>\n<\/td>\n

\n

Pablo Rank<\/b><\/p>\n<\/td>\n<\/tr>\n

\n

1<\/p>\n<\/td>\n

\n

Minnesota<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

25-4<\/p>\n<\/td>\n

\n

1.50<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

2<\/p>\n<\/td>\n

\n

2<\/p>\n<\/td>\n<\/tr>\n

\n

2<\/p>\n<\/td>\n

\n

Nebraska<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

27-2<\/p>\n<\/td>\n

\n

2.00<\/p>\n<\/td>\n

\n

2<\/p>\n<\/td>\n

\n

2<\/p>\n<\/td>\n

\n

3<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n<\/tr>\n

\n

3<\/p>\n<\/td>\n

\n

Wisconsin<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

25-4<\/p>\n<\/td>\n

\n

2.50<\/p>\n<\/td>\n

\n

3<\/p>\n<\/td>\n

\n

3<\/p>\n<\/td>\n

\n

1<\/p>\n<\/td>\n

\n

3<\/p>\n<\/td>\n<\/tr>\n

\n

4<\/p>\n<\/td>\n

\n

Texas<\/p>\n<\/td>\n

\n

Big 12<\/p>\n<\/td>\n

\n

22-4<\/p>\n<\/td>\n

\n

5.25<\/p>\n<\/td>\n

\n

5<\/p>\n<\/td>\n

\n

5<\/p>\n<\/td>\n

\n

4<\/p>\n<\/td>\n

\n

7<\/p>\n<\/td>\n<\/tr>\n

\n

5<\/p>\n<\/td>\n

\n

Kansas<\/p>\n<\/td>\n

\n

Big 12<\/p>\n<\/td>\n

\n

26-2<\/p>\n<\/td>\n

\n

5.75<\/p>\n<\/td>\n

\n

4<\/p>\n<\/td>\n

\n

4<\/p>\n<\/td>\n

\n

5<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n<\/tr>\n

\n

6<\/p>\n<\/td>\n

\n

Washington<\/p>\n<\/td>\n

\n

Pac 12<\/p>\n<\/td>\n

\n

26-4<\/p>\n<\/td>\n

\n

6.25<\/p>\n<\/td>\n

\n

7<\/p>\n<\/td>\n

\n

6<\/p>\n<\/td>\n

\n

6<\/p>\n<\/td>\n

\n

6<\/p>\n<\/td>\n<\/tr>\n

\n

7<\/p>\n<\/td>\n

\n

Stanford<\/p>\n<\/td>\n

\n

Pac 12<\/p>\n<\/td>\n

\n

21-7<\/p>\n<\/td>\n

\n

8.25<\/p>\n<\/td>\n

\n

9<\/p>\n<\/td>\n

\n

9<\/p>\n<\/td>\n

\n

11<\/p>\n<\/td>\n

\n

4<\/p>\n<\/td>\n<\/tr>\n

\n

8<\/p>\n<\/td>\n

\n

BYU<\/p>\n<\/td>\n

\n

WCC<\/p>\n<\/td>\n

\n

27-3<\/p>\n<\/td>\n

\n

9.25<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n

\n

7<\/p>\n<\/td>\n

\n

7<\/p>\n<\/td>\n

\n

13<\/p>\n<\/td>\n<\/tr>\n

\n

9<\/p>\n<\/td>\n

\n

UCLA<\/p>\n<\/td>\n

\n

Pac 12<\/p>\n<\/td>\n

\n

24-6<\/p>\n<\/td>\n

\n

9.75<\/p>\n<\/td>\n

\n

8<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n

\n

12<\/p>\n<\/td>\n

\n

9<\/p>\n<\/td>\n<\/tr>\n

\n

10<\/p>\n<\/td>\n

\n

Florida<\/p>\n<\/td>\n

\n

SEC<\/p>\n<\/td>\n

\n

26-3<\/p>\n<\/td>\n

\n

10.25<\/p>\n<\/td>\n

\n

11<\/p>\n<\/td>\n

\n

8<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n

\n

12<\/p>\n<\/td>\n<\/tr>\n

\n

11<\/p>\n<\/td>\n

\n

North Carolina<\/p>\n<\/td>\n

\n

ACC<\/p>\n<\/td>\n

\n

27-3<\/p>\n<\/td>\n

\n

11.00<\/p>\n<\/td>\n

\n

6<\/p>\n<\/td>\n

\n

12<\/p>\n<\/td>\n

\n

8<\/p>\n<\/td>\n

\n

18<\/p>\n<\/td>\n<\/tr>\n

\n

12<\/p>\n<\/td>\n

\n

Penn State<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

22-9<\/p>\n<\/td>\n

\n

13.75<\/p>\n<\/td>\n

\n

13<\/p>\n<\/td>\n

\n

11<\/p>\n<\/td>\n

\n

26<\/p>\n<\/td>\n

\n

5<\/p>\n<\/td>\n<\/tr>\n

\n

13<\/p>\n<\/td>\n

\n

Hawaii<\/p>\n<\/td>\n

\n

Big West<\/p>\n<\/td>\n

\n

22-5<\/p>\n<\/td>\n

\n

14.25<\/p>\n<\/td>\n

\n

12<\/p>\n<\/td>\n

\n

14<\/p>\n<\/td>\n

\n

23<\/p>\n<\/td>\n

\n

8<\/p>\n<\/td>\n<\/tr>\n

\n

T14<\/p>\n<\/td>\n

\n

San Diego<\/p>\n<\/td>\n

\n

WCC<\/p>\n<\/td>\n

\n

24-5<\/p>\n<\/td>\n

\n

14.75<\/p>\n<\/td>\n

\n

14<\/p>\n<\/td>\n

\n

13<\/p>\n<\/td>\n

\n

16<\/p>\n<\/td>\n

\n

16<\/p>\n<\/td>\n<\/tr>\n

\n

T14<\/p>\n<\/td>\n

\n

Michigan State<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

24-8<\/p>\n<\/td>\n

\n

14.75<\/p>\n<\/td>\n

\n

15<\/p>\n<\/td>\n

\n

15<\/p>\n<\/td>\n

\n

15<\/p>\n<\/td>\n

\n

14<\/p>\n<\/td>\n<\/tr>\n

\n

16<\/p>\n<\/td>\n

\n

Michigan<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

22-10<\/p>\n<\/td>\n

\n

15.75<\/p>\n<\/td>\n

\n

17<\/p>\n<\/td>\n

\n

16<\/p>\n<\/td>\n

\n

13<\/p>\n<\/td>\n

\n

17<\/p>\n<\/td>\n<\/tr>\n

\n

17<\/p>\n<\/td>\n

\n

Missouri<\/p>\n<\/td>\n

\n

SEC<\/p>\n<\/td>\n

\n

25-5<\/p>\n<\/td>\n

\n

17.00<\/p>\n<\/td>\n

\n

18<\/p>\n<\/td>\n

\n

20<\/p>\n<\/td>\n

\n

9<\/p>\n<\/td>\n

\n

21<\/p>\n<\/td>\n<\/tr>\n

\n

18<\/p>\n<\/td>\n

\n

Creighton<\/p>\n<\/td>\n

\n

Big East<\/p>\n<\/td>\n

\n

26-6<\/p>\n<\/td>\n

\n

17.75<\/p>\n<\/td>\n

\n

21<\/p>\n<\/td>\n

\n

23<\/p>\n<\/td>\n

\n

17<\/p>\n<\/td>\n

\n

10<\/p>\n<\/td>\n<\/tr>\n

\n

19<\/p>\n<\/td>\n

\n

Oregon<\/p>\n<\/td>\n

\n

Pac 12<\/p>\n<\/td>\n

\n

20-9<\/p>\n<\/td>\n

\n

18.75<\/p>\n<\/td>\n

\n

19<\/p>\n<\/td>\n

\n

17<\/p>\n<\/td>\n

\n

24<\/p>\n<\/td>\n

\n

15<\/p>\n<\/td>\n<\/tr>\n

\n

20<\/p>\n<\/td>\n

\n

Florida State<\/p>\n<\/td>\n

\n

ACC<\/p>\n<\/td>\n

\n

24-5<\/p>\n<\/td>\n

\n

22.75<\/p>\n<\/td>\n

\n

16<\/p>\n<\/td>\n

\n

18<\/p>\n<\/td>\n

\n

22<\/p>\n<\/td>\n

\n

35<\/p>\n<\/td>\n<\/tr>\n

\n

21<\/p>\n<\/td>\n

\n

Kentucky<\/p>\n<\/td>\n

\n

SEC<\/p>\n<\/td>\n

\n

22-7<\/p>\n<\/td>\n

\n

23.75<\/p>\n<\/td>\n

\n

24<\/p>\n<\/td>\n

\n

29<\/p>\n<\/td>\n

\n

19<\/p>\n<\/td>\n

\n

23<\/p>\n<\/td>\n<\/tr>\n

\n

22<\/p>\n<\/td>\n

\n

Western Kentucky<\/p>\n<\/td>\n

\n

C-USA<\/p>\n<\/td>\n

\n

30-2<\/p>\n<\/td>\n

\n

24.75<\/p>\n<\/td>\n

\n

20<\/p>\n<\/td>\n

\n

27<\/p>\n<\/td>\n

\n

14<\/p>\n<\/td>\n

\n

38<\/p>\n<\/td>\n<\/tr>\n

\n

23<\/p>\n<\/td>\n

\n

Utah<\/p>\n<\/td>\n

\n

Pac 12<\/p>\n<\/td>\n

\n

20-11<\/p>\n<\/td>\n

\n

25.00<\/p>\n<\/td>\n

\n

22<\/p>\n<\/td>\n

\n

21<\/p>\n<\/td>\n

\n

31<\/p>\n<\/td>\n

\n

26<\/p>\n<\/td>\n<\/tr>\n

\n

24<\/p>\n<\/td>\n

\n

Purdue<\/p>\n<\/td>\n

\n

Big 10<\/p>\n<\/td>\n

\n

18-13<\/p>\n<\/td>\n

\n

26.75<\/p>\n<\/td>\n

\n

35<\/p>\n<\/td>\n

\n

24<\/p>\n<\/td>\n

\n

29<\/p>\n<\/td>\n

\n

19<\/p>\n<\/td>\n<\/tr>\n

\n

25<\/p>\n<\/td>\n

\n

Iowa State<\/p>\n<\/td>\n

\n

Big 12<\/p>\n<\/td>\n

\n

18-10<\/p>\n<\/td>\n

\n

27.75<\/p>\n<\/td>\n

\n

27<\/p>\n<\/td>\n

\n

32<\/p>\n<\/td>\n

\n

27<\/p>\n<\/td>\n

\n

25<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

 <\/p>\n

LET\u2019S GROW VOLLEYBALL<\/a>\u00a0!<\/h2>\n

\"net-set-logo\"<\/p>\n","protected":false},"excerpt":{"rendered":"

What is the difference between a \u201cpoll\u201d and a \u201cranking\u201d when applied to sports teams? 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