Can anyone point me in the right direction?

Statistics: Posted by shock3 — Sat Oct 22, 2016 4:54 am

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Statistics: Posted by rlee — Fri Oct 21, 2016 4:38 pm

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Giannis at PG might payoff in 2 years but not right away with ill designed roster.

A radical, contrarian idea came to me for consideration: bring Giannis off the bench. Start Delly, Snell, Beasley, Parker and Henson. Bring in Giannis for most of the bench perimeter minutes and Monroe for the bigs. They probably aren't going to win the starter minutes but this set might defend better than last season and better than with Giannis and Monroe. They have a better chance to win the other minutes if Giannis and Monroe are going against subs. And maybe better getting the other guys going first? Play 5 of these 7 as much as possible. Hope to build familiarity, execution.

An 8th seed might be a goal, at least for awhile. Once that fades, start trading into a better design for the future.

Statistics: Posted by Crow — Fri Oct 21, 2016 4:25 pm

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Statistics: Posted by rlee — Fri Oct 21, 2016 3:00 pm

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Shadow, it appears you are missing 3 wins leaguewide. Perhaps from the rounding.

Statistics: Posted by Crow — Fri Oct 21, 2016 1:56 am

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Statistics: Posted by rlee — Thu Oct 20, 2016 5:23 pm

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I will say in general that I don't think fractions of a win belong in the contest. Vegas has a market making reason to straddle but here it probably gives some advantage vs. projections that use whole numbers.

Statistics: Posted by Crow — Wed Oct 19, 2016 6:55 pm

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EDIT: I've changed this to use whole wins, per Crow's recommendation. Also fixed rounding issue so wins total to 1230.

GSW 66

CLE 59

SAS 57

LAC 50

BOS 49

UTA 49

HOU 49

TOR 48

OKC 46

POR 44

MEM 42

WAS 42

DET 41

ATL 41

CHA 41

DAL 41

SAC 40

CHI 39

IND 39

MIA 38

NOP 37

ORL 37

DEN 36

NYK 36

MIN 33

MIL 29

PHX 28

BRK 28

LAL 24

PHI 21

CLE 59

SAS 57

LAC 50

BOS 49

UTA 49

HOU 49

TOR 48

OKC 46

POR 44

MEM 42

WAS 42

DET 41

ATL 41

CHA 41

DAL 41

SAC 40

CHI 39

IND 39

MIA 38

NOP 37

ORL 37

DEN 36

NYK 36

MIN 33

MIL 29

PHX 28

BRK 28

LAL 24

PHI 21

Statistics: Posted by shadow — Wed Oct 19, 2016 6:42 pm

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Statistics: Posted by rlee — Wed Oct 19, 2016 5:10 pm

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Statistics: Posted by rlee — Wed Oct 19, 2016 2:16 pm

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Statistics: Posted by rlee — Tue Oct 18, 2016 3:02 pm

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care to provide an example?...

Statistics: Posted by bchaikin — Tue Oct 18, 2016 3:53 am

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For example, I have an expectation that a player averages 34/min a game and plays in 60 games (while filling out the rest of the team's roster to equal 240 team mins @ 82 games). Could you set up code to simulate a team's minutes by game over the course of a season, while fulfilling the constraints of all known player minute averages and games played?

Said player appears in 60 games, but can play 30-38 min to depending on game to fit 240 team minutes while still fulfilling the requirements of their 34 minute average and 60 games played?

Statistics: Posted by tarrazu — Mon Oct 17, 2016 11:53 pm

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...

Alternatively any ideas about how one would go about it ? Metric for how versatile teams are defensively? Overlapping shot charts? I know this is a bit of an abstract question and I'm not looking for something specific. Just curious what people know/think.

....

You could just do the brute force thing - calculate whatever metric you like pairwise and individually, and then, as long as your metric is not linear, you'll see some deltas. There probably isn't enough data for that though.

More generally, you can start with some idea - like finding players to usefully cover all the shooting areas on the floor. You could also look at where players spend their time on the floor, or which players draw attention, and which players are good at exploiting space.

Statistics: Posted by Nate — Mon Oct 17, 2016 8:06 pm

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Statistics: Posted by rlee — Mon Oct 17, 2016 4:09 pm

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