Complete NBA Player Rankings by WAR

Long time no update – but since the NBA All Star game starters will be announced tonight on TNT, it seemed apropos to step away from the college ratings for a day and get my NBA ratings updated.  So, all 461 NBA’ers who have seen any court time at all rated & ranked in each of my normal metrics (thru 1-21-15 games).  FAQ sheet included for those that may be confused:

1-22-15NBAPlayerRankings

Hopefully I’ll be publishing a quick article today over at Sporting News talking about the All Star starters based on my metrics.  I’ll post a link here when that article is up – it will obviously show up on my Sporting News author page as well.

Dan

COMPLETE NCAA Player Rankings thru 1-18-15

Click here for my write up about the Top 25 in all the land at the Sporting News.

3121 qualified (played more than 20% of available team minutes) ranked.

 Thru1-18-15CBBPlayerRatingsUPLOAD

Note I added last week’s rank and change in rating (for both HnR & HnI) to the spreadsheet.  There is a FAQ sheet that should answer any questions about any columns – as well as contact info if you have any additional questions or would like to book me at your next birthday party or bar mitzvah.

I will do a hopefully fairly extensive write up about the Top 25 guys with their weekly performances included to help one see the fluidity of the ratings from week to week.  The write up will appear at one of my new alternate gigs at Sporting News within 24 hours.  I’ll Tweet when the article is up, as well as post an update here at Hoops Nerd.

2015 College Player Ratings are here!

About time.  I’ve had some serious site issues trying to upload this file the last couple hours, but it appears to finally be resolved.

Anyway, 3127 D1 players rated & ranked in a spreadsheet to aid in sorting by player, conference, class, etc:

Thru1-11-15CBBPlayerRatingsUPLOAD2

I also added a FAQ sheet to help in understanding a few things about the ratings.  Nothing too complicated – I may add more info (ie ratings broken down into subsets) in upcoming weekly updates, we’ll see. (EDIT 1-13-15, I added player national % rank across 7 rating subsets to the spreadsheet).

Now, as for a write ups – the first should happen later today at a larger sports media site, which I’ll obviously link here when it’s up.  It’ll be my first contribution for them, hopefully it’ll go smoothly.

Thanks to those that have been asking me for these rankings for being patient.  The first college ratings for the season take forever because of so many errors I have to find & cross reference to fix involving the 4700 or so players.  Expect weekly updates (every Monday?) that should appear sooner in the day as the process becomes more streamlined.

Please tweet me what you think (click my name), or comment below – or both.  Let me know what information you’d like to see – or what you’d like to see me write about with my larger sports media partner that I’ll unveil soon.  Thanks.

Dan

Future Projects – & a revisit to ol’ > 100 points in a game (twice!) Jack Taylor.

This is actually just a straight copy/paste from a post I just made at the APBRmetrics board in response to the quote below.  Since I’m sure HoopDon isn’t the only guy that feels this way about the ratings he sees here – I figured I should  share my response on the blog.   Plus, I’ve done almost zero writing here for quite a while – I should fill space with more than just WAR rankings.  My rambling in this post gives a good idea on some things I should be tackling in the near future – in addition to the fairly regular NBA WAR player rankings I’ll keep posting & the complete NCAA player rankings that should begin in around 3 weeks – updating weekly I hope.
HoopDon wrote:
HoopNerd, I’ve scrolled through your website and stats multiple times, but I couldn’t find any data on how accurate they were (in terms of correlation to current and future team success), so I ignored them. If your numbers have excellent in-season accuracy, and can predict future performance as well as ASPM/BPM or even (gasp) XRAPM/RPM, I’d use them regularly. If your numbers can do it without using prior-seasons and artificial adjustments (all rookies getting an automatic negative value), I’ll be your #1 fan.More info on how you calculate your numbers will also be appreciated, cheers.http://hoopdon.weebly.com/


Well, stay tuned, I’ll just have to see how comfortable I am about how much I’ll reveal in terms of calculations. I might just, at the very least, project the next season of every single past season (since 1980) in terms of production per minute (adjusted for pace/blah blah blah) – & since we know the actual minutes played of every guy in their following seasons, plug in the projections tied to actual minutes and see how the compiled projected team results compare to actual results. I haven’t done this because, honestly, no one has ever asked until recently about the predictive nature of the results until the last couple of days – & I don’t know how much people trust someone “testing” their own work & giving results. But obviously it’s something I should do & try my best to do a comprehensive write up to show the honesty behind the results.

Now, the problem with this is that there has to be some trust in my testing my own projections. I think if I give ALL results of every player season projection from the previous season (all the good and all the bad) in a massive spreadsheet – then it’ll be pretty obvious that I’m trying to show full disclosure and not fudging things on the fly. There will be a ton of hits from player to player, but obviously a bunch of misses too. It’ll be interesting to see how close, in general, the projections are & where the standard deviations fall.

Similarly – I plan on projecting the NBA careers EVERY SINGLE D1 player since 1997 & ranking them all in terms of their NBA career projections. I’ll limit the posted results to just guys that project, at some point in a made up NBA career, to be above replacement level. This is a huge project (getting all the DoB’s for all guys that could project above replacement level in a NBA career might be a serious pain – since a good number might not ever appear on basketball-reference) – since I’m not going to try to do what it appears everyone else does & limit my scope to the 80 or so college guys on NBA draft radars (often just for simplicity, but sometimes masking the flaws of their own metric) – but EVERY guy. How much can my methodology be trusted if I pick & choose which college players I apply it to. A good methodology should give solid predictive results on any & every player. If I limit my data set to avoid players (say Javon McCrea last year – I noticed a couple draft projection metrics ignore him, I’m guessing possibly because he measured out too high) who might break the system, then what’s the point? I want to catch that undrafted guy – the Udonis Haslem & the like.

The good thing is, when I finish the above project, I’ll be able to rank every college prospect for every past season – & see if my rankings (without ANY scout, combine, or prospect rank bias) compare to the actual drafts. Since I did already do the college ratings of the last season of every guy that played at least 1 minute the following season as an NBA rookie (in order to create the conversions) – I am pretty confident the projections could very well out perform the actual draft positions. Most “busts” (occasional caveats – Beasley for example projected great) were obvious bust material by the projections. Most sleepers (2nd round studs – Boozer, Blair, etc) were very highly projected – MUCH higher than many of the guys drafted before them (Jarnell Stokes in this last draft would be a comp to those two btw). I can’t get them all right by any means (Bledsoe) – I just think I can do better than the general draft history of the past gms. I wanted to do all this before this last draft – never got anywhere close. Just producing college ratings for every single guy that played in the NBA as a rookie was majorly time consuming (I have to compile all the college ratings at the team level for all those guys). I will have all this done well before the next NBA draft – come hell or high water.

Also, another good thing about the draft project – I could run similarity scores with all past college players since ’97 – see which players who appear most similar to guys that succeeded in the NBA. I could run similarity scores of every projected NBA season to all NBA seasons at every age group since 1980, see if certain player types are being overlooked. This might be a 2nd approach I may eventually merge with the first if it improves the predictability. Have zero idea if I’ll have this fully workable by the next NBA draft. If I were working for a team, it would be because all other projects would probably be back burnered.

So, to answer your point before I went off on a massive tangent, yes HoopDon – I should run all the past projections and show how much they correlate to actual results, & post all the results. I’ll post on this board & on Twitter when I do if you are curious about the results.

If you are curious about how to apply the predictive power of the player ratings (if you trusted them at all) – scroll back to any of my numerous March madness game write ups. I predict the final score of in each write up based on predicted player minutes. Here’s the write up I did for the NCAA championship game:

http://hoopsnerd.com/?p=424

Note that my general team ratings going into that game had Kentucky winning by 1.1 points. But, when I compiled the optimized lineup player ratings, & with Kentucky without Cauley-Stein – my prediction came out to UConn by 1.3. I surmised going into that game that losing Cauley-Stein cost UK, theoretically, 2.1 points.

Hey – I forgot that I attempted to quantify how good Jack Taylor (the guys that scored over 100 points twice in a college game) really was relative to an average D1 player. I think some of my methodology & how it adjusts for team & pace (that is an EXTREME team in terms of pace) is made a little more evident there. I never saw anyone even dare to try to quantify his play. I noticed this because it was the article before the NCAA championship game. Good times:

http://hoopsnerd.com/?p=415

Dan

Complete NBA Player Rankings by WAR

Every player in the NBA ranked by Wins Above Replacement through yesterday’s games – other ratings included (WAR/48, HnR, & HnI) for your pleasure.  Fully sortable:

12-8-14NBAPlayerRankings

For quick reference, the Top 30:

Rank Player Age Tm G M/g P/g R/g A/g S/g B/g T/g TS% ProWAR
1 James Harden 25 HOU 20 36.9 25.2 6.3 6.6 1.9 1.2 4.4 0.566 25.08
2 Stephen Curry 26 GSW 19 32.8 23.2 5.1 7.7 1.9 0.2 3.2 0.625 22.42
3 Chris Paul 29 LAC 19 34.2 17.9 4.2 9.8 1.9 0.3 1.5 0.630 20.70
4 Anthony Davis 21 NOP 19 36.3 25.2 10.7 1.7 2.1 2.9 1.4 0.609 20.39
5 Damian Lillard 24 POR 20 34.8 19.9 5.1 6.3 1.5 0.2 2.6 0.593 17.78
6 Kyle Lowry 28 TOR 20 34.5 20.7 4.9 6.9 1.3 0.2 1.8 0.555 16.93
7 Marc Gasol 30 MEM 20 34.4 19.0 8.1 3.7 1.0 1.6 2.6 0.565 16.86
8 LaMarcus Aldridge 29 POR 19 35.2 22.3 9.9 2.2 0.5 1.3 1.2 0.510 16.04
9 LeBron James 30 CLE 18 38.1 24.6 5.8 7.9 1.4 0.6 3.9 0.556 16.04
10 John Wall 24 WAS 19 35.3 17.6 4.7 10.0 2.2 0.7 3.8 0.505 15.64
11 Kyrie Irving 22 CLE 18 38.0 22.0 3.4 4.8 1.7 0.5 1.7 0.602 14.51
12 Mike Conley 27 MEM 20 32.2 16.7 2.8 6.3 1.2 0.1 2.2 0.567 13.31
13 Jimmy Butler 25 CHI 18 39.9 21.7 5.6 3.4 1.5 0.3 1.7 0.585 12.93
14 Klay Thompson 24 GSW 18 33.3 21.2 3.8 3.5 1.4 0.8 2.1 0.570 12.80
15 Paul Millsap 29 ATL 19 34.1 17.1 7.7 3.2 2.4 0.9 2.4 0.552 12.72
16 Blake Griffin 25 LAC 19 33.7 22.9 7.5 4.0 0.6 0.3 2.3 0.540 12.60
17 DeMarcus Cousins 24 SAC 15 32.0 23.5 12.6 2.4 1.1 1.5 3.7 0.571 12.26
18 Chris Bosh 30 MIA 20 35.3 21.3 8.4 2.3 1.1 0.8 2.4 0.550 12.11
19 Tyson Chandler 32 DAL 22 29.5 11.3 11.9 1.3 0.7 1.5 1.5 0.705 12.07
20 Zach Randolph 33 MEM 20 30.9 15.6 11.0 1.4 1.1 0.1 1.7 0.512 12.07
21 Jeff Teague 26 ATL 19 31.3 17.3 2.4 7.1 1.5 0.4 3.2 0.585 11.82
22 Tim Duncan 38 SAS 18 29.9 13.9 10.3 3.1 0.8 2.1 2.0 0.519 11.58
23 Pau Gasol 34 CHI 17 35.9 20.1 11.9 2.1 0.6 1.8 2.2 0.524 11.25
24 Brandon Knight 23 MIL 22 32.1 17.6 4.7 5.8 1.5 0.1 3.3 0.570 10.96
25 Rudy Gay 28 SAC 18 36.4 21.1 6.3 4.5 1.0 0.4 2.7 0.553 10.51
26 Marcin Gortat 30 WAS 19 30.5 13.5 8.8 1.3 0.7 1.3 1.4 0.560 9.92
27 Kawhi Leonard 23 SAS 19 31.7 14.7 7.6 2.2 1.8 0.5 1.6 0.535 9.73
28 Deron Williams 30 BRK 18 36.6 17.3 3.5 6.2 1.2 0.4 2.7 0.561 9.70
29 Ty Lawson 27 DEN 19 36.5 15.8 3.2 10.3 1.5 0.1 3.0 0.497 9.61
30 Nikola Vucevic 24 ORL 19 35.4 18.6 11.7 2.0 0.7 1.1 2.7 0.536 9.49
Dan

Cyber Monday NBA Player Rankings by WAR – for FREE!

Best deal on the internet – the rankings are always free!

Every player in the NBA ranked by Wins Above Replacement through yesterday’s games – other ratings included (WAR/48, HnR, & HnI) for your pleasure.  Fully sortable:

12-2-14NBAPlayerRankings

Quick reference – Top 30:

Rank Player Age Tm G M/g P/g R/g A/g S/g B/g T/g TS% ProWAR
1 James Harden 25 HOU 17 37.3 25.2 6.2 6.8 1.9 1.1 4.1 0.562 25.37
2 Stephen Curry 26 GSW 16 32.4 23.8 5.3 7.8 1.9 0.2 3.3 0.637 23.50
3 Chris Paul 29 LAC 17 34.8 17.9 4.0 9.5 2.1 0.4 1.5 0.617 20.93
4 Marc Gasol 30 MEM 17 35.0 20.1 8.1 3.6 1.2 1.5 2.7 0.577 20.35
5 Anthony Davis 21 NOP 15 36.5 24.9 11.3 1.7 2.1 3.0 1.5 0.597 19.32
6 Damian Lillard 24 POR 17 34.9 19.9 5.0 6.8 1.5 0.2 2.8 0.607 17.31
7 John Wall 24 WAS 16 35.3 18.1 4.4 9.3 2.3 0.5 3.6 0.508 16.62
8 Kyle Lowry 28 TOR 17 33.8 19.2 5.2 6.6 1.2 0.2 1.6 0.542 15.47
9 Zach Randolph 33 MEM 17 32.1 16.3 11.7 1.5 1.2 0.1 1.8 0.515 14.71
10 Jimmy Butler 25 CHI 15 39.3 21.9 5.7 3.1 1.5 0.4 1.7 0.598 14.55
11 DeMarcus Cousins 24 SAC 15 32.0 23.5 12.6 2.4 1.1 1.5 3.7 0.571 14.32
12 LaMarcus Aldridge 29 POR 16 34.9 21.4 9.6 2.3 0.5 1.3 1.1 0.510 14.17
13 Chris Bosh 30 MIA 17 34.9 21.5 8.8 2.4 0.9 0.8 2.4 0.549 14.10
14 LeBron James 30 CLE 15 37.4 24.9 5.8 7.2 1.3 0.7 3.7 0.564 14.00
15 Mike Conley 27 MEM 17 32.4 16.3 3.1 6.4 1.1 0.1 2.1 0.543 13.67
16 Nikola Vucevic 24 ORL 19 35.4 18.6 11.7 2.0 0.7 1.1 2.7 0.536 11.81
17 Blake Griffin 25 LAC 17 34.2 22.6 7.5 3.8 0.5 0.3 2.3 0.530 11.80
18 Tim Duncan 38 SAS 15 29.9 14.0 9.9 2.7 0.9 2.1 1.9 0.536 11.68
19 Klay Thompson 24 GSW 15 32.9 20.9 3.6 3.2 1.3 0.7 2.2 0.570 11.68
20 Pau Gasol 34 CHI 14 34.9 19.4 11.0 2.0 0.6 2.1 2.1 0.530 11.57
21 Tyson Chandler 32 DAL 18 29.0 11.3 11.3 1.3 0.6 1.5 1.4 0.705 11.43
22 Brandon Knight 23 MIL 18 32.7 17.0 4.7 5.9 1.3 0.1 3.3 0.553 11.33
23 Kyrie Irving 22 CLE 15 37.4 21.1 3.5 4.8 1.7 0.5 1.7 0.586 11.21
24 Kawhi Leonard 23 SAS 16 31.6 15.1 7.7 2.1 1.9 0.6 1.7 0.553 10.93
25 Paul Millsap 29 ATL 15 34.5 16.7 8.2 2.9 2.3 0.9 2.4 0.540 10.69
26 Jeff Teague 26 ATL 15 32.1 18.0 2.3 7.2 1.3 0.5 3.3 0.577 10.46
27 Ty Lawson 27 DEN 16 35.8 16.2 2.9 10.1 1.4 0.1 3.1 0.501 10.44
28 Marcin Gortat 30 WAS 16 30.9 13.4 8.9 1.1 0.8 1.4 1.4 0.560 10.41
29 Dirk Nowitzki 36 DAL 17 28.6 19.4 5.7 2.1 0.5 0.6 0.9 0.587 10.15
30 Rudy Gay 28 SAC 15 36.3 21.1 6.5 4.0 1.1 0.4 2.8 0.553 9.74
Dan

Thanksgiving NBA Player Rankings by WAR

Every player in the NBA ranked by Wins Above Replacement through yesterday’s games – other ratings included (WAR/48, HnR, & HnI).  Fully sortable:

11-27-14NBAPlayerRankings

The Top 30 for quick reference:

Rank Player Age Tm G M/g P/g R/g A/g S/g B/g T/g TS% ProWAR
1 James Harden 25 HOU 15 37.2 25.3 6.4 6.7 1.8 1.1 4.0 0.548 25.53
2 Stephen Curry 26 GSW 14 32.8 24.2 5.5 7.7 2.1 0.1 3.4 0.643 23.31
3 Anthony Davis 21 NOP 13 36.7 25.4 11.2 1.8 2.1 3.4 1.2 0.602 21.81
4 Chris Paul 29 LAC 14 35.6 18.9 4.4 9.7 2.0 0.4 1.6 0.619 21.74
5 Marc Gasol 30 MEM 15 35.3 19.8 8.3 3.1 1.3 1.6 2.7 0.567 19.55
6 DeMarcus Cousins 24 SAC 15 32.0 23.5 12.6 2.4 1.1 1.5 3.7 0.571 17.83
7 Damian Lillard 24 POR 15 34.8 20.1 5.3 6.5 1.3 0.1 3.0 0.623 17.71
8 Kyle Lowry 28 TOR 15 33.5 18.1 5.1 6.6 1.1 0.2 1.6 0.561 17.05
9 John Wall 24 WAS 14 35.6 18.6 4.4 9.2 2.3 0.5 3.8 0.506 16.10
10 LeBron James 30 CLE 14 37.9 25.3 6.1 7.2 1.4 0.7 3.8 0.568 14.16
11 LaMarcus Aldridge 29 POR 14 34.8 21.2 9.1 2.4 0.4 1.3 1.0 0.505 14.14
12 Zach Randolph 33 MEM 15 31.9 16.1 11.6 1.4 1.0 0.1 1.9 0.518 14.08
13 Jimmy Butler 25 CHI 13 39.2 21.6 6.1 3.2 1.6 0.5 1.8 0.597 13.82
14 Mike Conley 27 MEM 15 32.1 16.4 2.6 6.2 1.2 0.1 2.1 0.550 13.80
15 Brandon Knight 23 MIL 16 33.3 18.0 4.9 6.2 1.4 0.1 3.5 0.555 13.28
16 Chris Bosh 30 MIA 15 35.1 21.7 8.8 2.4 1.0 0.7 2.3 0.549 12.98
17 Tim Duncan 38 SAS 13 30.1 13.7 10.2 2.7 1.0 2.1 2.1 0.536 12.23
18 Klay Thompson 24 GSW 13 32.6 21.7 3.5 3.2 1.2 0.8 2.2 0.585 12.12
19 Nikola Vucevic 24 ORL 17 35.5 18.8 12.2 2.2 0.7 0.9 2.7 0.541 11.57
20 Dirk Nowitzki 36 DAL 16 28.4 19.7 5.6 2.1 0.5 0.6 0.9 0.605 10.81
21 Pau Gasol 34 CHI 12 35.2 19.3 10.5 2.2 0.7 2.3 2.1 0.529 10.74
22 Dwight Howard 29 HOU 10 33.5 18.8 11.3 1.3 0.8 2.3 3.3 0.545 10.53
23 Rudy Gay 28 SAC 13 36.7 21.1 6.5 3.8 1.1 0.5 2.8 0.550 10.23
24 Darren Collison 27 SAC 12 35.3 15.9 3.5 7.0 1.6 0.4 1.9 0.547 10.17
25 Kyrie Irving 22 CLE 14 37.5 20.9 3.1 4.8 1.8 0.3 1.8 0.583 10.14
26 Ty Lawson 27 DEN 14 36.1 16.6 2.8 10.0 1.4 0.1 3.2 0.511 10.09
27 DeMar DeRozan 25 TOR 15 34.5 20.7 4.2 2.7 1.5 0.1 2.0 0.495 9.89
28 Tyson Chandler 32 DAL 16 28.4 10.8 11.3 1.3 0.4 1.4 1.4 0.696 9.84
29 Jeff Teague 26 ATL 13 32.7 18.3 2.2 7.0 1.5 0.5 3.2 0.571 9.82
30 Deron Williams 30 BRK 14 37.6 18.4 3.8 6.6 1.4 0.5 3.1 0.572 9.80
Dan

Updated NBA Player Rankings

Every player in the NBA ranked by Wins Above Replacement through Sunday’s games – other ratings included (WAR/48, HnR, & HnI).  Fully sortable:

11-21-14NBAPlayerRankings

The Top 30 for quick reference:

Rank Player Age Tm G M/g P/g R/g A/g S/g B/g T/g TS% ProWAR
1 Anthony Davis 21 NOP 10 36.7 25.5 11.4 2.0 2.3 3.9 1.0 0.607 23.66
2 James Harden 25 HOU 12 37.0 23.8 6.3 6.9 1.7 1.0 4.2 0.544 21.56
3 Stephen Curry 26 GSW 10 33.5 24.8 5.5 7.7 2.3 0.0 3.9 0.625 21.17
4 Chris Paul 29 LAC 11 35.5 18.0 4.5 9.9 2.1 0.5 1.5 0.588 19.80
5 Damian Lillard 24 POR 11 35.1 20.9 5.1 6.6 1.0 0.2 2.9 0.622 16.51
6 Kyle Lowry 28 TOR 11 33.5 18.3 4.6 5.9 1.3 0.1 1.6 0.571 16.46
7 Marc Gasol 30 MEM 12 35.8 18.0 7.8 3.3 1.4 1.5 2.7 0.536 16.19
8 John Wall 24 WAS 10 35.5 18.6 4.1 9.3 2.3 0.6 3.3 0.487 16.12
9 Zach Randolph 33 MEM 12 32.8 16.6 11.8 1.3 1.2 0.1 1.6 0.506 14.96
10 DeMarcus Cousins 24 SAC 12 30.8 22.5 11.8 1.9 1.1 1.4 3.3 0.557 14.79
11 Jimmy Butler 25 CHI 10 40.0 21.5 6.4 3.6 1.5 0.6 1.8 0.607 14.74
12 LeBron James 30 CLE 10 38.6 25.9 6.6 6.8 1.1 0.8 4.0 0.567 13.64
13 Mike Conley 27 MEM 12 33.1 17.1 2.5 5.9 1.4 0.2 2.1 0.534 13.45
14 Klay Thompson 24 GSW 9 33.2 23.6 3.2 3.3 1.2 0.9 2.6 0.613 12.96
15 Brandon Knight 23 MIL 12 33.9 17.9 5.6 6.8 1.3 0.1 3.8 0.535 12.82
16 Dwight Howard 29 HOU 10 33.5 18.8 11.3 1.3 0.8 2.3 3.3 0.545 12.61
17 LaMarcus Aldridge 29 POR 10 35.3 21.9 8.0 2.2 0.5 1.2 1.1 0.520 12.26
18 Rudy Gay 28 SAC 12 36.8 21.7 6.6 3.6 1.1 0.5 2.8 0.552 12.11
19 Chris Bosh 30 MIA 12 34.9 20.6 8.6 2.8 1.3 0.7 2.1 0.531 11.72
20 DeMar DeRozan 25 TOR 11 34.4 21.2 4.3 2.6 1.9 0.1 1.6 0.499 11.59
21 Nikola Vucevic 24 ORL 13 36.3 18.8 11.9 2.6 0.8 1.1 3.1 0.561 11.45
22 Courtney Lee 29 MEM 9 32.9 14.9 3.3 2.3 1.2 0.2 0.9 0.705 11.35
23 Dirk Nowitzki 36 DAL 12 27.5 19.1 5.3 2.3 0.4 0.4 1.2 0.629 11.18
24 Kyrie Irving 22 CLE 10 38.3 21.9 3.2 5.0 1.6 0.2 1.8 0.590 11.09
25 Darren Collison 27 SAC 11 35.5 15.6 3.6 7.0 1.6 0.5 1.7 0.533 11.08
26 Pau Gasol 34 CHI 10 34.8 18.6 10.6 1.9 0.4 2.5 2.1 0.530 10.93
27 Tyson Chandler 32 DAL 12 27.8 10.9 10.8 1.3 0.4 1.7 1.6 0.708 10.82
28 Tim Duncan 38 SAS 10 30.9 14.5 10.7 2.4 0.9 1.7 2.2 0.509 10.68
29 Marcin Gortat 30 WAS 10 31.2 13.7 8.8 0.9 0.8 1.2 1.3 0.581 10.53
30 Gordon Hayward 24 UTA 12 34.6 18.7 5.4 4.6 1.3 0.3 2.1 0.591 10.46
Dan

Updated NBA Player Rankings by WAR

Every player in the NBA ranked by Wins Above Replacement through Sunday’s games – other ratings included (WAR/48, HnR, & HnI).  Fully sortable:

11-19-14NBAPlayerRankings

Since everyone asks, Kobe & his 27.4 pts/g on 48.6% TS is currently ranked 108th in the NBA in WAR.

The Top 30:

Rank Player Age Tm G M/g P/g R/g A/g S/g B/g T/g TS% ProWAR
1 Anthony Davis 21 NOP 10 36.7 25.5 11.4 2.0 2.3 3.9 1.0 0.607 23.61
2 James Harden 25 HOU 11 36.9 23.7 6.5 6.9 1.7 1.0 4.0 0.530 22.71
3 Stephen Curry 26 GSW 10 33.5 24.8 5.6 7.7 2.3 0.0 3.9 0.625 21.27
4 John Wall 24 WAS 9 35.6 19.4 3.9 9.1 2.3 0.4 3.3 0.506 19.23
5 Chris Paul 29 LAC 9 36.3 17.3 4.8 9.8 2.2 0.6 1.4 0.563 17.86
6 Marc Gasol 30 MEM 11 35.3 17.6 7.4 3.3 1.4 1.5 2.6 0.537 16.56
7 Damian Lillard 24 POR 11 35.1 20.9 5.1 6.6 1.0 0.2 2.9 0.622 16.55
8 Kyle Lowry 28 TOR 10 33.2 18.3 4.8 5.8 1.2 0.1 1.7 0.575 16.14
9 Zach Randolph 33 MEM 11 32.4 16.5 11.2 1.5 1.1 0.1 1.5 0.513 15.83
10 LeBron James 30 CLE 9 39.1 27.1 6.7 6.6 1.1 0.8 3.9 0.578 15.82
11 Jimmy Butler 25 CHI 9 40.3 21.3 6.2 3.9 1.4 0.7 1.7 0.608 15.25
12 Dwight Howard 29 HOU 10 33.5 18.8 11.3 1.3 0.8 2.3 3.3 0.545 14.51
13 DeMarcus Cousins 24 SAC 11 30.5 22.5 11.6 1.7 1.1 1.5 3.2 0.561 14.51
14 Mike Conley 27 MEM 11 32.2 16.9 1.8 6.0 1.5 0.2 2.1 0.538 14.44
15 Brandon Knight 23 MIL 11 32.5 17.9 5.8 6.6 1.3 0.1 3.7 0.553 13.38
16 Courtney Lee 29 MEM 9 32.9 14.9 3.3 2.3 1.2 0.2 0.9 0.705 13.25
17 Klay Thompson 24 GSW 9 33.2 23.6 3.2 3.3 1.2 0.9 2.6 0.613 12.95
18 Pau Gasol 34 CHI 10 34.8 18.6 10.6 1.9 0.4 2.5 2.1 0.530 12.41
19 LaMarcus Aldridge 29 POR 10 35.3 21.9 8.0 2.2 0.5 1.2 1.1 0.520 12.23
20 Kyrie Irving 22 CLE 9 38.4 22.1 3.1 5.3 1.4 0.2 1.8 0.591 12.14
21 Marcin Gortat 30 WAS 9 31.3 13.3 9.1 0.9 0.9 1.3 1.3 0.577 11.69
22 Nikola Vucevic 24 ORL 12 36.8 18.8 11.8 2.7 0.8 1.2 3.1 0.558 11.67
23 Rudy Gay 28 SAC 11 36.9 21.8 6.5 3.6 1.2 0.5 2.8 0.541 11.53
24 Chris Bosh 30 MIA 11 35.3 19.9 8.7 2.9 1.4 0.7 2.3 0.519 11.46
25 DeMar DeRozan 25 TOR 10 34.0 21.2 4.2 2.5 1.9 0.1 1.7 0.504 11.38
26 Dirk Nowitzki 36 DAL 11 27.5 19.6 5.4 2.3 0.4 0.5 1.3 0.639 11.12
27 Trevor Ariza 29 HOU 11 35.4 14.6 5.6 2.5 1.8 0.0 1.8 0.579 11.05
28 Gordon Hayward 24 UTA 12 34.6 18.7 5.4 4.6 1.3 0.3 2.1 0.591 10.47
29 Tyson Chandler 32 DAL 11 27.3 11.5 10.3 1.4 0.4 1.5 1.6 0.716 10.31
30 Tim Duncan 38 SAS 9 30.6 14.0 10.8 2.3 0.8 1.7 1.8 0.516 10.23
Dan