Per-40 data thru UCLA is available... | The Boneyard

Per-40 data thru UCLA is available...

JRRRJ

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...for download from the usual place.

I was very encouraged to see the weave reappear in the UCLA game. And the cutting. And a 3FG% north of 40. And Caroline continuing to move and shoot (and defend!). And Amari not looking lost.

For my comments below, and going forward until Paige returns, I've elected to elide her performance to date. This is the non-Paige era and I think we need to allow that everyone is (or should be) playing differently than during the period when she played.

So, we have a small sample size (2 games) again and everyone's in contention.

Six (of 8) players produced points at a double-digit rate. Evina leads at 14.55, Olivia is next at 12.94 in a virtual tie with Dorka at 12.86 followed closely by Christyn (12.47), Amari (12.31), then Caroline (10.49).

Dorka corraled O boards at a 3.57 rate, essentially tied with Olivia at 3.53. Amari's rate was 3.08, Aaliyah'w was 2.61
Defensive boards was Amari (12.31) followed by Dorka (11.43) and Olivia (7.06)
Total RBs was another virtual tie with Amari at 15.38 and Dorka with 15.00. Liv comes in at 10.59.

Evina has produced 6.75 assists per 40, Christyn 3.12. Olivia (1.76) is tied with Aaliyah (1.74). Only Evina has an A/TO ratio (3.25) greater than 1.

Olivia's block rate is 2.35, Caroline's is 1.31 and Christyn is at 1.04.

Lastly, Amari's one steal gives her the rate lead at 3.08, Dorka's 3 give her a 2.14 rate, and Evina's 4 produce a 2.08 rate.

None of the above is anything to pin an analysis on -- a change of 1 in the data values for most results would cause a wide swing in the rates. Just keeping in practice.

Note that if you double-click on a one of a player's totals in the top table a new tab with the data for each game for that player will open up. The most recent game will be at the top. This also works for the UConn and Opponent rows.
 

JRRRJ

Chief Didacticist
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???

Other than "Amari not looking lost", I believe all I've done is dump some data.

Draw your own conclusions, but be warned the sample size doesn't warrant it.
 

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