ArmyVet wrote:It seems to me that Butler is way overvalued in the RPI with two really bad losses and a third loss that wasn't even a contest.
ArmyVet wrote:It seems to me that Butler is way overvalued in the RPI with two really bad losses and a third loss that wasn't even a contest.
ConnersvilleBulldog wrote:ArmyVet wrote:It seems to me that Butler is way overvalued in the RPI with two really bad losses and a third loss that wasn't even a contest.
Fair. But wins against Nova, Arizona (neutral court), Cincinnati, Xavier, IU (neutral court), Utah (away), & Northwestern more than make up for 2 really bad road losses (by a total of 4 pts).
On January 16th Fieldhouse Flyer wrote:
RPI Forecast – Teams # 1 to # 351 . . . RPI Forecast - Big East Conference
Big East Conference Projections - through games of Saturday Jan. 14, 2017.
Overall - Expected RPI Rank – Team – Projected Regular-season W-L (Projected Conference W-L)
4.0 - Villanova - 27-4 (15-3)
10.0 - Butler - 23-7 (12-6)
15.5 - Creighton - 25-5 (13-5)
20.9 - Xavier - 21-10 (11-7)
58.3 - Marquette - 19-11 (10-8)
59.5 - Seton Hall - 19-11 (9-9)
74.4 - Georgetown - 16-15 (7-11)
96.2 - Providence - 16-15 (6-12)
155.0 - St. John's - 12-19 (6-12)
223.5 - DePaul - 10-21 (3-15)
On January 25th Fieldhouse Flyer wrote:
UDPride RPI Rankings – Monday morning January 23rd
2 – Villanova
4 - Butler
12 - Creighton
15 - Xavier
36 - Seton Hall
50 - Providence
53 - Marquette
93 – Georgetown
154 - St. John's
212 – DePaul
Fieldhouse Flyer wrote:
On Selection Day, There Are Metrics, and Then There Are Advanced Metrics – Marc Tracy, New York Times - March 11, 2016Marc Tracy wrote:
“The common metrics most of us use are KenPom, Sagarin, L.R.M.C., B.P.I., and K.P.I.,” the committee chairman, Oklahoma Athletic Director Joe Castiglione, told reporters.
Fieldhouse Flyer wrote:----------------------------------------------------------------------------------------------------------
Big East Conference Projections - through games of Wednesday Jan. 25, 2017:
Expected RPI Rank – Team – Projected Regular-season W-L (Projected Conference W-L)
19.8 - Xavier - 21-10 (11-7)
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Big East Conference Projections - through games of Thursday Jan. 26, 2017:
Expected RPI Rank – Team – Projected Regular-season W-L (Projected Conference W-L)
20.9 - Xavier - 21-10 (11-7)
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RPI Forecast projected a Xavier loss at Cincinnati and consequently, it had a minimal effect on Xavier’s projected numbers.Fieldhouse Flyer wrote:
On Selection Day, There Are Metrics, and Then There Are Advanced Metrics – Marc Tracy, New York Times - March 11, 2016Marc Tracy wrote:
“The common metrics most of us use are KenPom, Sagarin, L.R.M.C., B.P.I., and K.P.I.,” the committee chairman, Oklahoma Athletic Director Joe Castiglione, told reporters.
For the purpose of formulating my own opinions concerning the relative quality of basketball teams, I personally favour: RPI Forecast, Bracket Matrix, and the current RPI Rankings (in that order) over the AP Poll, Coaches Poll, and the advanced metrics listed above.
RPI Forecast is my favorite, because it takes into consideration the statistically probable outcomes of future games, which is an important factor when pondering what a team’s likely W-L Record, RPI Ranking, and NCAA Tournament seeding will be on Selection Sunday. In late January, all of February, and early March, RPI Forecast is a valuable evaluation tool.
Bracket Matrix is also a valuable evaluation tool, because of its large sample size (82 Brackets) to which the principles of Normal Distribution apply.
RPI Rankings are the official metric published by the NCAA, and used by the NCAA Tournament Selection Committee (to an unspecified extent).
The AP and Coaches Polls are fixated on W-L records. If you win, you stay the same or move up a few spots. If you lose, you move down a few spots. On Monday, Xavier will likely drop out of the Top 25 in both the AP and Coaches Polls, while remaining in the Top 25 in every other metric. If an AP # 25 team loses an away game to the AP # 1 team, the # 25 team will drop out of the Top 25 in the polls, despite losing a game it clearly should have lost. Does that make it a ‘worse’ team? No – it doesn’t.
I have no time for the so-called ‘advanced metrics’, because I do not know what criteria are being evaluated, how those criteria are being evaluated, or what relative weights are being assigned to each criteria used in the formulae. I cannot agree with, nor disagree with an unknown methodology.
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