Massey #1

[CTtoSanDiego]

We have just edged past SC for #1 on Massey. I know it's early, and the only #1 that really matters is after winning the Natty, but still, it's nice be #1

 

[HuskyNan]

Massey Ratings - College Basketball Women's : NCAA D1 Ratings

Computer ratings and rankings for CBW (College Basketball Women's), with links to team predictions, scores, and schedules.

masseyratings.com

 

[FanFromMaine]

We have just edged past SC for #1 on Massey. I know it's early, and the only #1 that really matters is after winning the Natty, but still, it's nice be #1

You are very brave to post this!!!

 

[RockyMTblue2]

Surprised Massey did that off the close call.

 

[Boreifs]

Surprised Massey did that off the close call.

SOS favors UConn at this point of the season.

 

[HuskyNan]

Surprised Massey did that off the close call.

The Massey numbers are computer generated and not at all influenced by opinions, observations, etc

 

[Kat]

Yesterday seemed to be "pick a cupcake to play" day for the top teams. Utah sure seemed a step down after Michigan, but then I saw that South Carolina played a school named Queens University, and rolled 121 points on those poor kids. You don't get to be number 1 after that.

 

[CL82]

Man, I feel like I need to patrol every thread...

 

[reelfan]

Beware A I

 

[OldSchooler]

Where can I find what the column headings mean?

 

[YoDore]

Where can I find what the column headings mean?

Just above the team listings and to the left, you’ll see “Key.” Just click that.

 

[Cuango]

I guess I don’t get it? It looks like SC is #1 on this chart.

 

[stamfordhusky]

I guess I don’t get it? It looks like SC is #1 on this chart.

They are. It can change day to day whenthe two teams are this close. All it takes is a good win or a bad loss for a team that either of them has already played.

 

[oldude]

Yesterday seemed to be "pick a cupcake to play" day for the top teams. Utah sure seemed a step down after Michigan, but then I saw that South Carolina played a school named Queens University, and rolled 121 points on those poor kids. You don't get to be number 1 after that.

It’s pretty much been, in the words of Dick Vitale, “Cupcake City Baby!” Other than a couple of real basketball games yesterday and UConn’s typically strong OOC schedule, a lot of top teams are playing more cupcakes than you find at a Junior HS bake sale. I think LSU set a record reeling off 6 straight games when the scored 100 pts or more playing against the Sisters of the Poor.

Obviously, the P4 teams will pick up their competition once they start conference play. But at the risk of riling up the TN haters around here, Pat Summit’s philosophy that they would play “anyone, anywhere, anytime” was laudable, but no longer seems relevant for most teams.

 

[FanSince17]

It’s pretty much been, in the words of Dick Vitale, “Cupcake City Baby!” Other than a couple of real basketball games yesterday and UConn’s typically strong OOC schedule, a lot of top teams are playing more cupcakes than you find at a Junior HS bake sale. I think LSU set a record reeling off 6 straight games when the scored 100 pts or more playing against the Sisters of the Poor.

Obviously, the P4 teams will pick up their competition once they start conference play. But at the risk of riling up the TN haters around here, Pat Summit’s philosophy that they would play “anyone, anywhere, anytime” was laudable, but no longer seems relevant for most teams.

It must not matter analytically in terms of ranking and/or seeding. That could be bad for the product and fan enjoyment. The kids miss out too.

 

[Boreifs]

Texas could be number one tomorrow. Those were two very impressive wins, particularly with three rotation players injured.

 

[visitingcock]

This morning:

Uconn
Texas
SCar
UCLA

Unsurprisingly.

 

[Centerstream]

Love looking at LSU's SoS.
I'm guessing (?) that the ratings still include some of last season's (tournament) games? Otherwise, wouldn't Texas' SoS be better than ours?

 

[NycUcWbbFan]

Love looking at LSU's SoS.
I'm guessing (?) that the ratings still include some of last season's (tournament) games? Otherwise, wouldn't Texas' SoS be better than ours?

UConn’s opponents Ohio St., Louisville, MI and FSU have SoS as 8, 9, 10 and 12, respectively. Others are Utah (31) and Loyola (72).

TX’s opponents UCLA and South Carolina have SoS as 4 and 6, respectively. Others are Richmond (26), James Madison (32), Incarnate World (134), Louisiana-Lafayette (178), and Texas-Southern (359).

Massey’s undergrad thesis normally solves an n x n system of equations for the Ratings (maximum likelihood Bayesian estimation).

If I am reading this FAQ correctly, the pure Margin of Victory (MOV) model of his thesis (above) is proprietarily adjusted so that the MOV goes through a optimized normalization function that transforms the MOV to a number between 0 and 1 that is then input in the n x n equations. The transformation accounts for blowouts, venue and implicitly for strength of schedule (SoS). The “optimization” solves for the “equilibrium” transformation (per some measure) that yields Ratings and SoS.

 

[Vowelguy]

Love looking at LSU's SoS.
I'm guessing (?) that the ratings still include some of last season's (tournament) games? Otherwise, wouldn't Texas' SoS be better than ours?

Massey does indeed start out with last seasons ratings and then diminish their weight. I don’t recall at what point last years value is gone.

 

[Cuango]

UConn’s opponents Ohio St., Louisville, MI and FSU have SoS as 8, 9, 10 and 12, respectively. Others are Utah (31) and Loyola (72).

TX’s opponents UCLA and South Carolina have SoS as 4 and 6, respectively. Others are Richmond (26), James Madison (32), Incarnate World (134), Louisiana-Lafayette (178), and Texas-Southern (359).

Massey’s undergrad thesis normally solves an n x n system of equations for the Ratings (maximum likelihood Bayesian estimation).

If I am reading this FAQ correctly, the pure Margin of Victory (MOV) model of his thesis (above) is proprietarily adjusted so that the MOV goes through a optimized normalization function that transforms the MOV to a number between 0 and 1 that is then input in the n x n equations. The transformation accounts for blowouts, venue and implicitly for strength of schedule (SoS). The “optimization” solves for the “equilibrium” transformation (per some measure) that yields Ratings and SoS.

Huh!🤔

 

[Skeets]

UConn’s opponents Ohio St., Louisville, MI and FSU have SoS as 8, 9, 10 and 12, respectively. Others are Utah (31) and Loyola (72).

TX’s opponents UCLA and South Carolina have SoS as 4 and 6, respectively. Others are Richmond (26), James Madison (32), Incarnate World (134), Louisiana-Lafayette (178), and Texas-Southern (359).

Massey’s undergrad thesis normally solves an n x n system of equations for the Ratings (maximum likelihood Bayesian estimation).

If I am reading this FAQ correctly, the pure Margin of Victory (MOV) model of his thesis (above) is proprietarily adjusted so that the MOV goes through a optimized normalization function that transforms the MOV to a number between 0 and 1 that is then input in the n x n equations. The transformation accounts for blowouts, venue and implicitly for strength of schedule (SoS). The “optimization” solves for the “equilibrium” transformation (per some measure) that yields Ratings and SoS.

Thank you. Now I understand.