Stockton played 4 such years ; Payton and Reggie 3 each; Lenny Wilkens 2; Greer, Oscar, Drexler, and Jordan each once.

http://bkref.com/tiny/awjNP

Several of these guys didn't make it to age 36. Kobe is 36, and he had played more minutes than

Statistics: Posted by Mike G — Fri Oct 31, 2014 12:57 pm

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Is 26 mpg (x82) for Kobe more optimistic than most are guessing?

His (arbitrary) 1.33 eW/484 would be lowest since his 2nd season (when he also went 26 mpg).

I bet everything I have on Kobe that he will play more than 26 mpg. I don't have to look at any statistics or metrics to see that.

As a side not, Minnesota is going to get more wins than the most of you think.

Statistics: Posted by permaximum — Fri Oct 31, 2014 9:56 am

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Check out our 7 keys for yesterday's game against the Suns. We compare the stats for yesterday's Lakers-Suns game to league average stats for 2013:

http://bigleagueinsights.com/box-scores ... 0-29-20489

Statistics: Posted by BigLeagueInsights — Thu Oct 30, 2014 10:50 pm

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TmPT-PM Wins

CLE56

MIA50

TOR47

WAS46

ATL45

CHI45

IND43

BKN38

CHA37

DET37

BOS32

NYK32

ORL32

MIL30

PHI19

LAC55

GSW54

HOU51

MEM51

OKC51

SAS51

DAL50

POR50

PHX43

NOP37

MIN36

DEN33

UTA29

LAL25

SAC24

TmASPM Wins

CLE62

MIA40

TOR46

WAS42

ATL44

CHI39

IND39

BKN37

CHA36

DET43

BOS28

NYK40

ORL29

MIL29

PHI17

LAC55

GSW49

HOU48

MEM47

OKC58

SAS56

DAL49

POR45

PHX42

NOP38

MIN35

DEN42

UTA29

LAL32

SAC32

http://counting-the-baskets.typepad.com ... ition.html

Statistics: Posted by AJbaskets — Thu Oct 30, 2014 9:51 pm

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We went 5-0 with yesterday's picks, jump on the bandwagon!

http://bigleagueinsights.com/nba-day-2- ... 3-preview/

Statistics: Posted by BigLeagueInsights — Thu Oct 30, 2014 9:44 pm

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Statistics: Posted by rlee — Thu Oct 30, 2014 6:12 pm

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My predictions correlate LEAST with BobboFitos'.

CRAP!

I thought similarly when I saw that mine only had a .7 correlation with Bobbo's.

Statistics: Posted by nbacouchside — Thu Oct 30, 2014 2:13 pm

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... 23.2% of Davis’s blocks at home are not actually true blocks, much higher than the 10.6% on the road. If we adjust his stats to account for questionable blocks, Davis is only averaging 3.3 blocks per game at home. Adjusting his total number of blocks gives a grand total of 2.6 blocks per game, a half of a block lower than his current average.

This is good work, done by looking at video of all credited blocks by a player. But the 'adjusted' home and away rates still stand at 3.3 vs 1.9 bpg, respectively.What about actual blocks that went uncounted? These may not be numerous, but they'd be more likely on the road.

What about otherwise nice blocks that were called as a foul against him? Some of these may be 'questionable', and also more likely on the road.

And then, what of registered decent blocks that might/should have been fouls? Perhaps more likely at home?

Some of these are referee home bias, and some are scorekeeper home bias. I lumped them all together as 'home bias', however achieved. Ref bias affects the final score and becomes part of perceived 'playing better'. Of course you play better when you aren't in foul trouble, and in general you are more aggressive. But the refs have to allow it.

Davis seems to have played more aggressively at home last year: His FTA/FGA ratio was higher, he rebounded better, his TO were higher. And fouls were higher -- but perhaps artificially low?

Statistics: Posted by Mike G — Thu Oct 30, 2014 1:57 pm

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CRAP!

Statistics: Posted by bbstats — Thu Oct 30, 2014 1:32 pm

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2014 Lakers e484 mpg eWins

Carlos Boozer 1.50 26 6.6

Kobe Bryant 1.33 26 5.9

Jordan Hill 1.27 20 4.3

Jeremy Lin .95 26 4.2

Nick Young .97 24 4.0

Ed Davis 1.04 16 2.8

Ryan Kelly .61 22 2.3

Wesley Johnson .43 22 1.6

Julius Randle .63 14 1.5

Xavier Henry .56 14 1.3

Robert Sacre .50 12 1.0

Wayne Ellington .47 8 .6

Ronnie Price .16 8 .2

Jordan Clarkson .00 4 .0

. totals 242 36.3

Is 26 mpg (x82) for Kobe more optimistic than most are guessing?Carlos Boozer 1.50 26 6.6

Kobe Bryant 1.33 26 5.9

Jordan Hill 1.27 20 4.3

Jeremy Lin .95 26 4.2

Nick Young .97 24 4.0

Ed Davis 1.04 16 2.8

Ryan Kelly .61 22 2.3

Wesley Johnson .43 22 1.6

Julius Randle .63 14 1.5

Xavier Henry .56 14 1.3

Robert Sacre .50 12 1.0

Wayne Ellington .47 8 .6

Ronnie Price .16 8 .2

Jordan Clarkson .00 4 .0

. totals 242 36.3

His (arbitrary) 1.33 eW/484 would be lowest since his 2nd season (when he also went 26 mpg).

Statistics: Posted by Mike G — Thu Oct 30, 2014 12:49 pm

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i really hope that Dr Positivity is wrong about MIN.

I will be doing my projections a few days late - but I can't imagine MIN looking very good.

My college to pro projections doesn't like Wiggins much for a number of years.

Statistics: Posted by Statman — Thu Oct 30, 2014 5:15 am

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Just starting to understand all this.

"Shouldn't the net difference be closer to -5.9?" I think the math checks out. the lines add up into the top line total.

"what's usual? Is it based on location, single season data, what?" Depends what you select on the dashboard. They could perhaps add by traditional positions though.

"Or is the usual FG% calculated based on the category?" I think so.

Statistics: Posted by Crow — Thu Oct 30, 2014 12:08 am

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Mike G wrote:

If you don't correct for home scorekeeping bias, you can overrate certain players. Ben Wallace is a prime example.

In 2002-03, he blocked 140 shots at home and 90 on the road. Was he "given" an extra 50 or so blocks at home?

In '04 again an "extra" 52 blocks at home, in equal minutes as away.

In 2005, he had 58 blocks in away games and 118 in home games -- more than twice as many!

For his career, he avg'd 2.68 Blk/36 at home and 2.10 on the road -- 2.39 overall.

If you correct by the factor (2.10/2.39), then his career Blk% may be not 5.0 but 4.4

How does that affect his SPM ?

I just looked at my code and turns out I'm actually already doing this, in some way. I actually don't count any home blocks. Might be a little harsh, maybe multiplying home blocks with a factor <1 is better. The question, to me, is whether home scorekeeping bias affects all players (of one team) equally. I could imagine that some players have more home scorekeeping bias in their stats than others, from the same team. Think Rondo and his assists in Boston. I think there was at least one instance where the league took one of his assists away, after the game

When it comes to modern day home scorekeeping bias with blocks: Anthony Davis had 123 home blocks and 66 away blocks last season

Following up on the Twitter discussion last night, here is the graph that sums most of it up:

And here is the link to the full article: http://georgetownsportsanalysis.wordpre ... on-street/

Statistics: Posted by nbo2 — Wed Oct 29, 2014 11:00 pm

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I have a question about defense though. Here's an example:

http://stats.nba.com/player/#!/101106/tracking/defense/

DFG% is the field goal percentage of the guys Bogut is defending. Clear enough. FG% is the usual FG% of the guy who's being defended ... but what's usual? Is it based on location, single season data, what? For example, his overall net difference is -4.8. But his 2PT net difference is -5.9. But the ratio of two-point shots defended to three-point shots is like 15 to 1. Shouldn't the net difference be closer to -5.9?

Or is the usual FG% calculated based on the category? So if a guy shoots 50% overall, then what's what you use in the overall category. It doesn't matter if he shoots 60% inside and that's the only shot you defend him against.

Statistics: Posted by AcrossTheCourt — Wed Oct 29, 2014 10:33 pm

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