UConn stats.... How much scoring graduated..?? | The Boneyard

UConn stats.... How much scoring graduated..??

DavidinNaples

12 is way better than 3..!!
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Last season, UConn scored 3,269 points in 40 games. That comes out to an average of 81.7 points per game. That average was the highest per game number since the 2020-21 season. Between graduation & transfer, the Huskies lost players who scored 1,146 points. (Paige = 756, Kaitlyn = 277, Aubrey = 70 and Qadence = 43) That leaves the players that scored 65% of UConn's points or 2,123 total, plus 2 transfers and 3 freshman.

Here are the career scoring totals from players on this year's roster:
1. Serah = 1,494 points (Wisconsin)
2. Azzi = 1,014 points
3. Ashlynn = 727 points
4. Sarah = 657 points
5. KK = 565 points
6. Caroline = 500 points
7. Ice = 289 points
8. Kayleigh = 207 (USC)
9. Jana = 200 points
10. Allie = 92 points
11. Yana = 65 points
12. Morgan = 61 points
13-15. Blanca, Kelis and Gandy = 0 points

Paige's team leading 756 points will need to be replaced, but the Huskies return 5 of the next 6 top scorers. And, UConn adds Serah Williams, Kayleigh Heckel and this season's wildcard, Blanca Quinonez. This year's version of the Huskies is very talented, the roster is quite deep and the expectations are for #13.
Thoughts?
Go Huskies..!!
 
Maybe this sort of question is easier to address as points per minute than career or season scoring totals. For example, Azzi scored 462 in 34 games, or 13.6/game, but also 20.5 per 40 mins. By contrast, Paige scored 756 in 38 games and 26.5 per 40 mins. Sarah scored 657 in 40 games and 23.0 per 40 mins. Ash scored 308 in 40 games and 13.8 per 40 mins. KK scored 218 in 40 games and 10.8 per 40. And including Serah and Kayleigh from other programs, Serah scored 577 in 30 games and 24 per 40 mins. Kayleigh scored 207 in 34 games but 14.4 per forty mins. There’s not enough relevant data to say much about what Allie or Morgan or Blanca or Carol or Ayanna might bring to the season. But we might be able to extrapolate from the per 40 numbers to guess what the central 6 might be able to contribute.
 
I always maintain that WCBB stats need to be restricted to games of note. The number of blowouts against meaningless opponents completely skew the results otherwise.
 
I always maintain that WCBB stats need to be restricted to games of note. The number of blowouts against meaningless opponents completely skew the results otherwise.
I think this has to be strictly true. If the data set were large enough, this distinction would diminish in importance. But a single season will never be a large enough data set. However, as a shorthand, the errors that accrue from skewing by blowouts will not be so great as to entirely obscure basic trends, and most of us don’t have the time to filter sufficiently to eliminate the problem.
 

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