[teejers1]

The Massey Women's Basketball Ratings provide a tool for assessing the relative strength of all the D1 teams. Unlike the AP poll (which polls a group of sports writers each week to rank the top 25 teams) or the USA Today poll (which uses a group of coaches's votes to rank the top 25 teams) Massey uses mathematical algorithms which tap several variables of actual play to rank all 356 D1 teams.
Massey, a mathematician specializing in amateur and professional sports statistics, formulates data each week to arrive at a snapshot of relative team strength. He also has other tools on his site to offer other analysis. One of his tools, “Matchups," permits one to tap into Massey's massive databases to provide a “what if” scenario predicting scores, differentials, and winners of head-to-head action should the two teams meet on the court. For those of you wishing to pass the time between games by checking out how your team would fare against another team statistically, this tools for you!
I’ve used Matchups to compare Stanford against it’s likely matchups in the tournament —
STANFORD vs MONTANA STATE
  Most Likely Score: Stanford 83, Montana State 53
  WinProbability: 99%
STANFORD vs KANSAS
  Most Likely Score: Stanford 74, Kansas 61
  WinProbability: 87%
STANFORD vs GEORGIA TECH
  Most Likely Score: Stanford 75, Georgia Tech 61
  WinProbability: 87%
STANFORD vs MARYLAND
  Most Likely Score: Stanford 75, Maryland 68
  WinProbability: 70%
The results that I showed above are simply summaries of Massey's data, his site provides a set of colorful charts and graphs. Try it yourself using it with Stanford against South Carolina, UCON, or any other team that you wish to. Of course, the game has to be played on the court and the actual results are dictated by human factors, but it is fun to see how results can be extrapolated from the game data which has been accumulated throughout the season (it can also guide your bracket selection — it’s probably more reliable than the accumulated hunches of sports fans as assessed by bookmakers in Las Vegas).
To compare team results, you will find Massey's "Matchups" here:
Massey’s Matchups

FWLIW, Bilas picked Stanford to cut down the nets . . . the only person at ESPN to do so (as far as I know).

I'm mixed on that because while Bilas is obviously bright and knows the game, his sanctimony is over the top (especially when it came to paying college athletes).  But then again, lots of sports cognoscenti have that characteristic.  Give me Van Pelt (and Stanford Steve) all day, any day.  They have a good sense of humor and play it reasonably straight.

And there are several very good broadcasters in the ESPN stable, and Doris Burke, the NBA color commentator, is very near the top of the list.  She is excellent.  For PbP announcers, I like the versatile Kevin Harlan best.  BTW, the SF local crop of broadcasters is excellent overall, the SF Giants guys, Greg Pappa, etc.

[teejers1]

The Massey Women's Basketball Ratings provide a tool for assessing the relative strength of all the D1 teams. Unlike the AP poll (which polls a group of sports writers each week to rank the top 25 teams) or the USA Today poll (which uses a group of coaches's votes to rank the top 25 teams) Massey uses mathematical algorithms which tap several variables of actual play to rank all 356 D1 teams.
Massey, a mathematician specializing in amateur and professional sports statistics, formulates data each week to arrive at a snapshot of relative team strength. He also has other tools on his site to offer other analysis. One of his tools, “Matchups," permits one to tap into Massey's massive databases to provide a “what if” scenario predicting scores, differentials, and winners of head-to-head action should the two teams meet on the court. For those of you wishing to pass the time between games by checking out how your team would fare against another team statistically, this tools for you!
I’ve used Matchups to compare Stanford against it’s likely matchups in the tournament —
STANFORD vs MONTANA STATE
  Most Likely Score: Stanford 83, Montana State 53
  WinProbability: 99%
STANFORD vs KANSAS
  Most Likely Score: Stanford 74, Kansas 61
  WinProbability: 87%
STANFORD vs GEORGIA TECH
  Most Likely Score: Stanford 75, Georgia Tech 61
  WinProbability: 87%
STANFORD vs MARYLAND
  Most Likely Score: Stanford 75, Maryland 68
  WinProbability: 70%
The results that I showed above are simply summaries of Massey's data, his site provides a set of colorful charts and graphs. Try it yourself using it with Stanford against South Carolina, UCON, or any other team that you wish to. Of course, the game has to be played on the court and the actual results are dictated by human factors, but it is fun to see how results can be extrapolated from the game data which has been accumulated throughout the season (it can also guide your bracket selection — it’s probably more reliable than the accumulated hunches of sports fans as assessed by bookmakers in Las Vegas).
To compare team results, you will find Massey's "Matchups" here:
Massey’s Matchups

FWLIW, Bilas picked Stanford to cut down the nets . . . the only person at ESPN to do so (as far as I know).

I'm mixed on that because while Bilas is obviously bright and knows the game, his sanctimony is over the top (especially when it came to paying college athletes).  But then again, lots of sports cognoscenti have that characteristic.  Give me Van Pelt (and Stanford Steve) all day, any day.  They have a good sense of humor and play it reasonably straight.

And there are several very good broadcasters in the ESPN stable, and Doris Burke, the NBA color commentator, is very near the top of the list.  She is excellent.  For PbP announcers, I like the versatile Kevin Harlan best.  BTW, the SF local crop of broadcasters is excellent overall, the SF Giants guys, Greg Pappa, etc.