Cal in EAST in NCAAs...open at home 4:30 PST Friday against Wichita State

7,709 Views | 36 Replies | Last: 11 yr ago by OneKeg
stu
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BGGB2;842469099 said:

The #4 seed seems very generous, and then playing at home on top of that.


I'm loving it! I'd prefer playing at home against anyone to playing in some other time zone as a 6 or 7 or 8 seed.

Quote:

Then there's UConn looming in the next round.


If we advance we'll have to play a #1 sooner or later. Why not the best? Whatever may happen against UConn there will be no shame (unless we beat them).
really
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OneKeg;842468831 said:

[URL="http://www.rpiratings.com/womrate.php"][U]Sagarin weighs in[/U][/URL]:

1. [1st overall seed, East] Connecticut 111.02 (also 1st in Predictor, 118.10!), SOS #47
9. [3 seed, East] Louisville 92.03 (also 9th in Predictor, 92.74), SOS #40 - 3 seed
10. [3 seed, West] Oregon State 91.42 (11th in Predictor, 91.99), SOS #55
13. [3 seed, South] Arizona State 89.55 (also 13th in Predictor, 89.70), SOS #36
15. [4 seed, Midwest] Stanford 89.30 (16th in Predictor, 88.74), SOS #20
21. [2 seed, East] Kentucky 87.94 (24th in Predictor, 87.07), SOS #1
24. [5 seed, East] Texas 87.51 (17th in Predictor, 88.69), SOS #22
[COLOR="#0000FF"]32. [4 seed, East] California 85.95 (also 32nd in Predictor, 85.65), SOS #27[/COLOR]
34. [6 seed, Midwest] Washington 85.21 (31st in Predictor, 85.68), SOS #53
41. [12 seed, East] Western Kentucky 83.25 (42nd in Predictor, 83.05), SOS #131
47. [13 seed, East] Wichita State 82.05 (57th in Predictor, 80.87), SOS #226
72. [13 seed, West] Albany 78.77 (65th in Predictor, 79.75), SOS #259
77. [13 seed, Midwest] CSUN 77.68 (79th in Predictor, 77.22), SOS #156
117. [13 seed, South] Liberty 72.56 (120th in Predictor, 72.31), SOS #320


I'm curious how well Sagarin works in predicting tournament games (especially when such different conferences are matched up).... Definitely something off if UW is still predicted to beat Cal

Also, Wichita would be very close to #8 MN (54th) and #11 LSU (55th). And if you use the Sagarin overall rating (which includes the predictor), Wichita is also ahead of a few #10, 11 and 12s.

Cal was clearly the 4th seed, as deserved - but I don't think it was that generous cause I don't know the #5s have great arguments to move up. Texas is interesting because they were very impressive early vs a tough schedule but then lost their best player for the season and went into a tailspin before righting the ship a bit - still only finishing at .500 in their conference.

I don't know if the committee looks at Sagarin or other similar ratings; and RPI is not supposed to be the deciding factor. Does seem like Wichita is definitely a bit underrated at 13 even for the best 13th seed though, so hopefully the benefit of hosting more than outweighs the draw.
OneKeg
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really;842469507 said:

I'm curious how well Sagarin works in predicting tournament games (especially when such different conferences are matched up).... Definitely something off if UW is still predicted to beat Cal


It's just a computer algorithm, or actually a couple different ones. I think it's better than the RPI since it does not throw away key pieces of information (margin of victory, opponents' margins of victory over their opponents, and so on). The overall Sagarin rating aggregates 3 ratings, the Predictor, another rating that uses margin of victory called 'Golden Mean', and finally ELO-CHESS, which like RPI does not take margin of victory into account, only wins and losses (home and away), opponents' wins and losses, and so on.

Both the overall Sagarin rating and the Predictor are for judging aggregate accomplishment over the course of a season, just like RPI, except again RPI throws away margin of victory. It's probably good for predicting probable aggregate results if Cal were playing a whole bunch of peer-level teams. As you would expect, it's not so good at predicting individual games or else you could apply it blindly and make serious bank in Vegas (it's interesting though that Vegas lines, which try to equalize odds, often are fairly close to Sagarin Predictor differentials plus home-field advantage). And naturally, it does not take into account trends, injuries, good or bad match-ups, team morale and confidence. So Cal's rating includes all those games where Range was out or recovering. Blowout losses, like the one at Kansas, or even the ones against good teams like at home against ASU and on the road against Oregon State on their senior night really hurt the Predictor rating especially.

For the men, I think Ken Pomeroy's ratings might be even better than Sagarin, breaking down offensive and defensive efficiency. Not sure if Pomeroy has a rating for the women?
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