The idea I had was to find the league-wide HCA, and then translate the power ratings into points based on that. So if the HCA league-wide is 3 points, then, for example, Cleveland's rating is +6.49 points.
Also, I know that Neil said the ratings don't add to zero exactly, but if the sum is as close to zero as it is (0.00002), it's not worth worrying about.
]]>eWins makes team adjustments all along the process. Points and assists are scaled to opponent points, rebounds to opp. reb.
Monta Ellis is averaging 26 PPG, but for a team that allows 112 PPG. So, that 26 Pts are just (100/112) 89% as much a contribution as they'd be for an avg team. For Hou he might be expected to avg 23; for Cha, perhaps 21.5.
eWins doesn't bother to distinguish between offense and defense per se. Rather, productivity is scaled to 'rest of the league' performance in the games a player is in : vs GSW, in Ellis' case.
]]>Hedo Turkoglu, from '03 in Sac, to '04 in SA, to '05 in Orl, had his DRtg go from 102 to 94 to 110; his DWS from 1.5 to 4.5 to 1.0.
DWS per 484 minutes (.50 = avg) moved from .62 to 1.05 to .28 in this time, while his OWS/484 rose steadily from .47 to .52 to .60 .
Last year to this year, his DWS/484 has gone from .76 to .04, Orl to Tor.
This is "incredibly team-reliant".
Meanwhile, what about a column for WS per X minutes?
]]>I've noticed an increase, especially on BBR's blog, of measuring a player's greatness/talent by Win Shares. Win Shares, to my understanding, is incredibly team-reliant.
This is a common misperception. Two players (playing on different teams) with the same playing time, same number of possessions, same offensive rating, and same defensive rating will have the same number of Win Shares. Now, defensive rating does have a team component, but all in all I would not call Win Shares "incredibly team-reliant". More details are available here.
]]>Keep up the good work.
]]>I've noticed an increase, especially on BBR's blog, of measuring a player's greatness/talent by Win Shares. Win Shares, to my understanding, is incredibly team-reliant. Wouldn't it make more sense, perhaps, to measure a player's individual ability and impact by WS%? Adding a WS% column to BBR's advanced stats, IMO, would be beneficial. If Jordan's team won 50 games, while James' won 66, yet both have comparable WS then the disparity should be made readily available in an alternative form of WS (in this case, WS%).
Cheers.
Unless of course, my understanding of WS is completely wrong.
]]>It might have just been easier to say that this is a logistic regression, but I like getting people to think about the idea of maximum likelihood.
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