{"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
\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 1<\/p>\n<\/td>\n Minnesota<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 25-4<\/p>\n<\/td>\n 1.50<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n<\/tr>\n 2<\/p>\n<\/td>\n Nebraska<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 27-2<\/p>\n<\/td>\n 2.00<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n<\/tr>\n 3<\/p>\n<\/td>\n Wisconsin<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 25-4<\/p>\n<\/td>\n 2.50<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n<\/tr>\n 4<\/p>\n<\/td>\n Texas<\/p>\n<\/td>\n Big 12<\/p>\n<\/td>\n 22-4<\/p>\n<\/td>\n 5.25<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n<\/tr>\n 5<\/p>\n<\/td>\n Kansas<\/p>\n<\/td>\n Big 12<\/p>\n<\/td>\n 26-2<\/p>\n<\/td>\n 5.75<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n<\/tr>\n 6<\/p>\n<\/td>\n Washington<\/p>\n<\/td>\n Pac 12<\/p>\n<\/td>\n 26-4<\/p>\n<\/td>\n 6.25<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n<\/tr>\n 7<\/p>\n<\/td>\n Stanford<\/p>\n<\/td>\n Pac 12<\/p>\n<\/td>\n 21-7<\/p>\n<\/td>\n 8.25<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n 11<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n<\/tr>\n 8<\/p>\n<\/td>\n BYU<\/p>\n<\/td>\n WCC<\/p>\n<\/td>\n 27-3<\/p>\n<\/td>\n 9.25<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n<\/tr>\n 9<\/p>\n<\/td>\n UCLA<\/p>\n<\/td>\n Pac 12<\/p>\n<\/td>\n 24-6<\/p>\n<\/td>\n 9.75<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n<\/tr>\n 10<\/p>\n<\/td>\n Florida<\/p>\n<\/td>\n SEC<\/p>\n<\/td>\n 26-3<\/p>\n<\/td>\n 10.25<\/p>\n<\/td>\n 11<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n<\/tr>\n 11<\/p>\n<\/td>\n North Carolina<\/p>\n<\/td>\n ACC<\/p>\n<\/td>\n 27-3<\/p>\n<\/td>\n 11.00<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n 18<\/p>\n<\/td>\n<\/tr>\n 12<\/p>\n<\/td>\n Penn State<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 22-9<\/p>\n<\/td>\n 13.75<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n 11<\/p>\n<\/td>\n 26<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n<\/tr>\n 13<\/p>\n<\/td>\n Hawaii<\/p>\n<\/td>\n Big West<\/p>\n<\/td>\n 22-5<\/p>\n<\/td>\n 14.25<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n 23<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n<\/tr>\n T14<\/p>\n<\/td>\n San Diego<\/p>\n<\/td>\n WCC<\/p>\n<\/td>\n 24-5<\/p>\n<\/td>\n 14.75<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n<\/tr>\n T14<\/p>\n<\/td>\n Michigan State<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 24-8<\/p>\n<\/td>\n 14.75<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n<\/tr>\n 16<\/p>\n<\/td>\n Michigan<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 22-10<\/p>\n<\/td>\n 15.75<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n<\/tr>\n 17<\/p>\n<\/td>\n Missouri<\/p>\n<\/td>\n SEC<\/p>\n<\/td>\n 25-5<\/p>\n<\/td>\n 17.00<\/p>\n<\/td>\n 18<\/p>\n<\/td>\n 20<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n 21<\/p>\n<\/td>\n<\/tr>\n 18<\/p>\n<\/td>\n Creighton<\/p>\n<\/td>\n Big East<\/p>\n<\/td>\n 26-6<\/p>\n<\/td>\n 17.75<\/p>\n<\/td>\n 21<\/p>\n<\/td>\n 23<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n<\/tr>\n 19<\/p>\n<\/td>\n Oregon<\/p>\n<\/td>\n Pac 12<\/p>\n<\/td>\n 20-9<\/p>\n<\/td>\n 18.75<\/p>\n<\/td>\n 19<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n 24<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n<\/tr>\n 20<\/p>\n<\/td>\n Florida State<\/p>\n<\/td>\n ACC<\/p>\n<\/td>\n 24-5<\/p>\n<\/td>\n 22.75<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n 18<\/p>\n<\/td>\n 22<\/p>\n<\/td>\n 35<\/p>\n<\/td>\n<\/tr>\n 21<\/p>\n<\/td>\n Kentucky<\/p>\n<\/td>\n SEC<\/p>\n<\/td>\n 22-7<\/p>\n<\/td>\n 23.75<\/p>\n<\/td>\n 24<\/p>\n<\/td>\n 29<\/p>\n<\/td>\n 19<\/p>\n<\/td>\n 23<\/p>\n<\/td>\n<\/tr>\n 22<\/p>\n<\/td>\n Western Kentucky<\/p>\n<\/td>\n C-USA<\/p>\n<\/td>\n 30-2<\/p>\n<\/td>\n 24.75<\/p>\n<\/td>\n 20<\/p>\n<\/td>\n 27<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n 38<\/p>\n<\/td>\n<\/tr>\n 23<\/p>\n<\/td>\n Utah<\/p>\n<\/td>\n Pac 12<\/p>\n<\/td>\n 20-11<\/p>\n<\/td>\n 25.00<\/p>\n<\/td>\n 22<\/p>\n<\/td>\n 21<\/p>\n<\/td>\n 31<\/p>\n<\/td>\n 26<\/p>\n<\/td>\n<\/tr>\n 24<\/p>\n<\/td>\n Purdue<\/p>\n<\/td>\n Big 10<\/p>\n<\/td>\n 18-13<\/p>\n<\/td>\n 26.75<\/p>\n<\/td>\n 35<\/p>\n<\/td>\n 24<\/p>\n<\/td>\n 29<\/p>\n<\/td>\n 19<\/p>\n<\/td>\n<\/tr>\n 25<\/p>\n<\/td>\n Iowa State<\/p>\n<\/td>\n Big 12<\/p>\n<\/td>\n 18-10<\/p>\n<\/td>\n 27.75<\/p>\n<\/td>\n 27<\/p>\n<\/td>\n 32<\/p>\n<\/td>\n 27<\/p>\n<\/td>\n 25<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" What is the difference between a \u201cpoll\u201d and a \u201cranking\u201d when applied to sports teams? A poll, sometimes known as…<\/p>\n","protected":false},"author":7,"featured_media":537732,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[547149048],"tags":[49668,4143520,49666,49665,49667,816272,5057374,192059,925295,709156,93550,62890,605038661,34134,692954,26251,141166,334708,228782255,30276,130881,1930834,228076869,126860179,1657,7525,16791,605039666,1916021,14042,70507518,2099324,60385,9827249,339849,605040139,1286550,305861,14041,762068,80136,59349,605040585,9850242,96877200,11110,255044,19886,28577,743196,290225018,6641326,3964859,11091,1639816,20037,55857,59358,605041502,4737319,60462074,4464,64803,1811,263778,17794933,8721,47475018,605041767,14821157,5690,36910,807178,825984,75661,651220,1575,986207,129023,72379,54701,860761,1769012,71605,438421,59361,277484,1745343,24641,21745218,580526620,515893,8439,34157,149874,804644,72400,11108,547231,468888,24405478,561133],"acf":[],"yoast_head":"\n |