Top 3 player lineups vs Quad 1 teams

[ucmiami2]

Skim and most sites thrive and earn on controversy and discussion.

Sarah favorite for player of the year, but this stat shows others on UConn team may be more valuable.

This nugget sure to be controversial and generate responses.

That is only reason she is mentioned.

The truly interesting takeaway is UConn has 7 of top10 3 player combos in ncaa.

And to be clear Skim is not actually producing these stats, just reporting them. If you look the stats are created by a company CBB Analystics (subscription only) that creates stats for MCBB and WCBB. And they didn't 'select a player', they displayed the 10 most effective 3 player line-ups in tier1/tier1 competition - just so happens Uconn had 7 of them, and Sarah was represented in 3 of them.

And yes HuskyNan - please keep posting these kinds of things when you come across them - I find them very interesting as do a lot of folks I believe.

 

[Woof]

Other than getting our top 3 man combo correct, this is VERY flawed. There is no way where any of our top 10 combos does not contain Sarah. Most should contain Sarah and Azzi. Next most contains Sarah and KK and so on.

 

[Woof]

The “53.7” minutes against Quad 1 opponents does filter in only &1 11 3-player lineups from UConn; I suspect that similar numbers of lineups were also filtered-in from other teams.

• CBBAnalytics uses OffRtg and DefRtg (and derivatively NetRtg) derived using a regression based on Dean Oliver’s Four Factors (with data from play-by-play info at the rotation stint level) for its “D1 Leaderboard”.
• For a comparable statistic to NetRtg (with much less data requirements) see Per 40 +/-.

It’s very noteworthy that 7 (of the 11) UConn 3-Player Lineups are in the Top 10 “D1 Leaderboard”. This is perhaps due to UConn’s top rankings in the Four Factors vs Quad 1 opponents.

&1 Blanca being out for two Quad 1 games (Louisville and Tennessee) filtered out her combinations. This also affected Sarah in this statistic.

View attachment 116963

This looks better. Still not exactly what I would expect, based on my own analysis, but definitely better.

 

[BBallFan86]

That is an excellent observation.

I'm curious how they decided the cut off at 53.7 minutes, conveniently making sure that the 56 minutes played by Texas qualified. If my math is right, Texas is played nine quad one opponents for a total of 360 minutes, which means this lineup has been in the game a little under 16% of the time. 56 minutes is roughly 2 full games of play which seems pretty limited data to draw conclusions.

This is a fascinating thread. I use CBBAnalytic's a lot for my IRL job, and you're hamstrung to the cut-off it provides which seems to be an arbitrary number based on a few factors.

Looking at it right now, and using the same filters (Q1 games only, 3-player lineups), it looks like the minimum is now 60.1 minutes and that Texas group is outside of the Top 10 with 83 minutes played.