2010-11 Projected NBA Standings
Posted by Neil Paine on October 25, 2010
It's that time of year again... Time to plug a ton of projected numbers into a computer, simulate the NBA schedule thousands of times, and see what kind of predictions it spits out. This year I ran three sets of 2,500 simulated seasons -- one based on statistical plus/minus (the raw version of which I posted here, but also adjusted for team using past franchise & coaching histories), one based on Win Shares (using the Simple Projection System method), and one based on a heavily regressed-to-the-mean version of last year's Simple Ratings (not so much for prediction purposes, but as an experiment to see how well the "dumbest" possible projections fare vs. complex methods). To see the individual minutes and ratings that went into these projections, click here.
Win Shares
Team | OWS | Rk | DWS | Rk | Wins | AvSeed | Playoffs | CSF | CF | Finals | Champs |
---|---|---|---|---|---|---|---|---|---|---|---|
Atlanta | 22.9 | 12th | 21.2 | 15th | 44.4 | 5.8 | 95.4% | 29.9% | 3.6% | 0.5% | 0.2% |
Boston | 25.5 | 9th | 30.9 | 1st | 56.1 | 2.7 | 100.0% | 84.2% | 36.8% | 11.3% | 5.9% |
Charlotte | 13.4 | 25th | 25.4 | 6th | 39.1 | 7.9 | 66.6% | 6.6% | 0.7% | 0.0% | 0.0% |
Chicago | 19.5 | 16th | 25.0 | 8th | 44.7 | 5.6 | 95.7% | 32.7% | 3.7% | 0.4% | 0.1% |
Cleveland | 22.1 | 13th | 23.8 | 10th | 46.0 | 5.1 | 98.2% | 44.0% | 4.4% | 0.6% | 0.2% |
Dallas | 25.9 | 8th | 23.6 | 11th | 48.3 | 5.5 | 92.5% | 39.2% | 12.2% | 3.7% | 0.5% |
Denver | 29.7 | 4th | 21.9 | 14th | 50.6 | 4.4 | 97.7% | 54.4% | 21.4% | 7.6% | 1.2% |
Detroit | 14.2 | 23rd | 13.3 | 28th | 28.6 | 12.5 | 1.1% | 0.0% | 0.0% | 0.0% | 0.0% |
Golden State | 19.3 | 17th | 15.9 | 21st | 35.2 | 11.1 | 3.4% | 0.3% | 0.0% | 0.0% | 0.0% |
Houston | 23.2 | 11th | 20.9 | 16th | 43.9 | 7.7 | 63.5% | 13.0% | 3.1% | 0.7% | 0.0% |
Indiana | 12.9 | 26th | 17.9 | 18th | 32.2 | 11.0 | 7.2% | 0.1% | 0.0% | 0.0% | 0.0% |
LA Clippers | 8.4 | 29th | 11.0 | 30th | 20.5 | 14.6 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
LA Lakers | 28.8 | 6th | 29.7 | 3rd | 57.4 | 1.8 | 99.9% | 82.9% | 55.4% | 34.6% | 11.4% |
Memphis | 17.6 | 21st | 16.1 | 19th | 34.0 | 11.5 | 2.6% | 0.2% | 0.1% | 0.0% | 0.0% |
Miami | 37.1 | 1st | 28.4 | 5th | 64.3 | 1.2 | 100.0% | 97.4% | 89.6% | 67.5% | 53.4% |
Milwaukee | 17.9 | 20th | 23.3 | 12th | 41.5 | 6.9 | 85.3% | 13.9% | 1.6% | 0.2% | 0.0% |
Minnesota | 8.8 | 28th | 13.5 | 27th | 23.0 | 14.1 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
New Jersey | 14.7 | 22nd | 16.1 | 20th | 31.8 | 11.2 | 6.1% | 0.1% | 0.0% | 0.0% | 0.0% |
New Orleans | 24.2 | 10th | 19.5 | 17th | 42.7 | 8.3 | 48.8% | 10.2% | 2.6% | 0.4% | 0.0% |
New York | 21.1 | 15th | 15.2 | 23rd | 36.6 | 9.0 | 35.2% | 2.3% | 0.4% | 0.0% | 0.0% |
Oklahoma City | 18.4 | 19th | 24.5 | 9th | 42.6 | 8.4 | 46.6% | 10.0% | 2.3% | 0.4% | 0.0% |
Orlando | 28.9 | 5th | 30.3 | 2nd | 58.2 | 2.2 | 100.0% | 88.6% | 59.3% | 19.5% | 12.2% |
Philadelphia | 11.2 | 27th | 13.5 | 26th | 26.1 | 13.4 | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% |
Phoenix | 31.8 | 3rd | 15.5 | 22nd | 46.2 | 6.5 | 83.0% | 26.2% | 9.1% | 2.4% | 0.4% |
Portland | 32.9 | 2nd | 25.2 | 7th | 56.5 | 2.1 | 100.0% | 80.1% | 54.6% | 32.4% | 10.2% |
Sacramento | 14.0 | 24th | 13.9 | 24th | 28.5 | 12.9 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
San Antonio | 26.6 | 7th | 28.4 | 4th | 53.4 | 3.2 | 99.5% | 69.6% | 35.6% | 17.2% | 4.2% |
Toronto | 19.2 | 18th | 11.7 | 29th | 32.4 | 10.8 | 9.2% | 0.2% | 0.0% | 0.0% | 0.0% |
Utah | 21.5 | 14th | 22.9 | 13th | 43.7 | 7.7 | 62.5% | 13.8% | 3.6% | 0.7% | 0.0% |
Washington | 6.6 | 30th | 13.6 | 25th | 21.3 | 14.7 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
Standings:
Team | Div | W | L | Team | Div | W | L | Team | Div | W | L |
---|---|---|---|---|---|---|---|---|---|---|---|
Boston | E-A | 56 | 26 | Cleveland | E-C | 46 | 36 | Miami | E-S | 64 | 18 |
New York | E-A | 37 | 45 | Chicago | E-C | 45 | 37 | Orlando | E-S | 58 | 24 |
Toronto | E-A | 32 | 50 | Milwaukee | E-C | 41 | 41 | Atlanta | E-S | 44 | 38 |
New Jersey | E-A | 32 | 50 | Indiana | E-C | 32 | 50 | Charlotte | E-S | 39 | 43 |
Philadelphia | E-A | 26 | 56 | Detroit | E-C | 29 | 53 | Washington | E-S | 21 | 61 |
Team | Div | W | L | Team | Div | W | L | Team | Div | W | L |
Portland | W-N | 57 | 25 | LA Lakers | W-P | 57 | 25 | San Antonio | W-S | 53 | 29 |
Denver | W-N | 51 | 31 | Phoenix | W-P | 46 | 36 | Dallas | W-S | 48 | 34 |
Utah | W-N | 44 | 38 | Golden State | W-P | 35 | 47 | Houston | W-S | 44 | 38 |
Oklahoma City | W-N | 43 | 39 | Sacramento | W-P | 29 | 53 | New Orleans | W-S | 43 | 39 |
Minnesota | W-N | 23 | 59 | LA Clippers | W-P | 21 | 61 | Memphis | W-S | 34 | 48 |
Playoffs:
Eastern Conference
(1) Miami def. (8) Charlotte
(4) Cleveland def. (5) Chicago
(2) Orlando def. (7) Milwaukee
(3) Boston def. (6) Atlanta
(1) Miami def. (4) Cleveland
(2) Orlando def. (3) Boston
(1) Miami def. (2) Orlando
Western Conference
(1) Lakers def. (8) Utah
(4) Denver def. (5) Dallas
(2) Portland def. (7) Houston
(3) San Antonio def. (6) Phoenix
(1) Lakers def. (4) Denver
(2) Portland def. (3) San Antonio
(1) Lakers def. (2) Portland
NBA Finals:
Miami Heat def. LA Lakers
Statistical Plus/Minus
Team | OPAA | Rk | DPAA | Rk | Wins | AvSeed | Playoffs | CSF | CF | Finals | Champs |
---|---|---|---|---|---|---|---|---|---|---|---|
Atlanta | 0.53 | 11th | -0.29 | 16th | 42.6 | 6.5 | 94.1% | 16.3% | 2.8% | 0.1% | 0.0% |
Boston | 1.15 | 9th | 3.04 | 9th | 52.3 | 3.4 | 100.0% | 72.0% | 21.4% | 2.9% | 1.2% |
Charlotte | -4.93 | 29th | 5.65 | 1st | 43.6 | 6.1 | 95.7% | 23.6% | 3.8% | 0.2% | 0.1% |
Chicago | -1.95 | 22nd | 3.60 | 5th | 46.3 | 5.2 | 98.9% | 35.8% | 3.6% | 0.3% | 0.0% |
Cleveland | -3.03 | 25th | 0.43 | 13th | 35.2 | 9.1 | 39.2% | 1.0% | 0.2% | 0.0% | 0.0% |
Dallas | 1.06 | 10th | 1.44 | 11th | 47.1 | 6.2 | 88.2% | 27.8% | 8.1% | 2.2% | 0.2% |
Denver | 5.58 | 2nd | -0.87 | 18th | 52.4 | 3.8 | 99.2% | 62.8% | 26.5% | 10.4% | 1.3% |
Detroit | -1.11 | 20th | -6.75 | 30th | 22.2 | 14.4 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
Golden State | 0.23 | 12th | 0.08 | 15th | 41.9 | 8.6 | 46.4% | 7.4% | 1.8% | 0.3% | 0.0% |
Houston | -0.27 | 15th | 0.40 | 14th | 41.5 | 8.9 | 39.2% | 6.3% | 1.6% | 0.4% | 0.0% |
Indiana | -2.94 | 24th | -1.14 | 19th | 31.6 | 10.8 | 9.0% | 0.1% | 0.0% | 0.0% | 0.0% |
LA Clippers | -5.11 | 30th | -3.55 | 26th | 20.1 | 14.7 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
LA Lakers | 2.29 | 8th | 3.40 | 7th | 54.6 | 2.9 | 99.8% | 73.2% | 39.6% | 19.0% | 3.0% |
Memphis | -0.73 | 17th | -1.22 | 20th | 36.1 | 11.1 | 6.6% | 0.5% | 0.0% | 0.0% | 0.0% |
Miami | 8.71 | 1st | 3.34 | 8th | 67.7 | 1.0 | 100.0% | 98.8% | 93.6% | 81.3% | 71.1% |
Milwaukee | -0.77 | 18th | 3.84 | 3rd | 49.3 | 4.2 | 99.9% | 61.9% | 8.6% | 1.4% | 0.4% |
Minnesota | -3.29 | 27th | -3.57 | 27th | 23.6 | 14.0 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
New Jersey | -0.79 | 19th | -1.92 | 23rd | 35.0 | 9.3 | 33.3% | 0.8% | 0.0% | 0.0% | 0.0% |
New Orleans | 3.56 | 5th | -0.82 | 17th | 47.4 | 6.0 | 89.3% | 30.4% | 9.4% | 2.2% | 0.1% |
New York | 0.07 | 13th | -2.92 | 25th | 34.2 | 9.7 | 24.7% | 0.7% | 0.1% | 0.0% | 0.0% |
Oklahoma City | -0.04 | 14th | 2.10 | 10th | 46.5 | 6.5 | 85.8% | 24.7% | 7.0% | 1.5% | 0.1% |
Orlando | 3.06 | 6th | 4.17 | 2nd | 57.8 | 2.2 | 100.0% | 88.9% | 66.0% | 13.8% | 7.9% |
Philadelphia | -2.33 | 23rd | -2.38 | 24th | 29.8 | 11.6 | 4.2% | 0.0% | 0.0% | 0.0% | 0.0% |
Phoenix | 3.72 | 4th | -5.13 | 28th | 36.9 | 10.7 | 8.8% | 0.9% | 0.2% | 0.0% | 0.0% |
Portland | 3.73 | 3rd | 3.74 | 4th | 57.7 | 1.8 | 100.0% | 84.4% | 60.0% | 40.9% | 10.3% |
Sacramento | -3.21 | 26th | -1.66 | 21st | 28.4 | 13.0 | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% |
San Antonio | 2.71 | 7th | 3.44 | 6th | 55.1 | 2.7 | 99.9% | 75.5% | 44.6% | 22.8% | 4.1% |
Toronto | -1.25 | 21st | -5.26 | 29th | 25.5 | 13.4 | 0.2% | 0.0% | 0.0% | 0.0% | 0.0% |
Utah | -0.29 | 16th | 0.50 | 12th | 41.2 | 9.0 | 36.6% | 6.1% | 1.1% | 0.3% | 0.1% |
Washington | -4.34 | 28th | -1.68 | 22nd | 26.3 | 13.0 | 0.7% | 0.0% | 0.0% | 0.0% | 0.0% |
Standings:
Team | Div | W | L | Team | Div | W | L | Team | Div | W | L |
---|---|---|---|---|---|---|---|---|---|---|---|
Boston | E-A | 52 | 30 | Milwaukee | E-C | 49 | 33 | Miami | E-S | 68 | 14 |
New Jersey | E-A | 35 | 47 | Chicago | E-C | 46 | 36 | Orlando | E-S | 58 | 24 |
New York | E-A | 34 | 48 | Cleveland | E-C | 35 | 47 | Charlotte | E-S | 44 | 38 |
Philadelphia | E-A | 30 | 52 | Indiana | E-C | 32 | 50 | Atlanta | E-S | 43 | 39 |
Toronto | E-A | 25 | 57 | Detroit | E-C | 22 | 60 | Washington | E-S | 26 | 56 |
Team | Div | W | L | Team | Div | W | L | Team | Div | W | L |
Portland | W-N | 58 | 24 | LA Lakers | W-P | 55 | 27 | San Antonio | W-S | 55 | 27 |
Denver | W-N | 52 | 30 | Golden State | W-P | 42 | 40 | New Orleans | W-S | 47 | 35 |
Oklahoma City | W-N | 46 | 36 | Phoenix | W-P | 37 | 45 | Dallas | W-S | 47 | 35 |
Utah | W-N | 41 | 41 | Sacramento | W-P | 28 | 54 | Houston | W-S | 42 | 40 |
Minnesota | W-N | 24 | 58 | LA Clippers | W-P | 20 | 62 | Memphis | W-S | 36 | 46 |
Playoffs:
Eastern Conference
(1) Miami def. (8) Cleveland
(4) Milwaukee def. (5) Chicago
(2) Orlando def. (7) Atlanta
(3) Boston def. (6) Charlotte
(1) Miami def. (4) Milwaukee
(2) Orlando def. (3) Boston
(1) Miami def. (2) Orlando
Western Conference
(1) Portland def. (8) Golden State
(4) Denver def. (5) New Orleans
(2) San Antonio def. (7) Oklahoma City
(3) Lakers def. (6) Dallas
(1) Portland def. (4) Denver
(2) San Antonio def. (3) Lakers
(1) Portland def. (2) San Antonio
NBA Finals:
Miami Heat def. Portland Trail Blazers
Simple Rating System
And just as a test, here's what we would have predicted from last year's SRS scores (in other words, any projection system that gets beaten by this will probably need a major overhaul after the season):
Team | W | Seed | Playoffs | CSF | CF | Finals | Champs |
---|---|---|---|---|---|---|---|
Atlanta | 49.8 | 3.4 | 99.4% | 66.0% | 30.4% | 12.6% | 6.6% |
Boston | 48.0 | 4.2 | 98.3% | 56.0% | 23.2% | 9.2% | 4.2% |
Charlotte | 43.7 | 6.2 | 89.0% | 28.6% | 8.4% | 2.2% | 0.9% |
Chicago | 38.1 | 9.0 | 42.2% | 7.3% | 1.4% | 0.4% | 0.1% |
Cleveland | 53.2 | 2.3 | 99.9% | 79.3% | 51.4% | 27.4% | 16.4% |
Dallas | 45.6 | 6.5 | 81.6% | 32.4% | 13.8% | 5.2% | 1.7% |
Denver | 48.5 | 4.8 | 93.5% | 48.0% | 24.3% | 12.2% | 4.6% |
Detroit | 31.9 | 12.3 | 4.2% | 0.3% | 0.0% | 0.0% | 0.0% |
Golden State | 34.6 | 11.7 | 3.2% | 0.5% | 0.0% | 0.0% | 0.0% |
Houston | 40.9 | 8.9 | 35.4% | 7.9% | 2.8% | 0.9% | 0.2% |
Indiana | 35.6 | 10.3 | 19.5% | 2.2% | 0.4% | 0.2% | 0.0% |
LA Clippers | 29.7 | 13.4 | 0.3% | 0.0% | 0.0% | 0.0% | 0.0% |
LA Lakers | 50.1 | 3.8 | 97.2% | 56.4% | 29.6% | 15.6% | 7.3% |
Memphis | 38.2 | 10.2 | 13.8% | 2.6% | 0.6% | 0.1% | 0.0% |
Miami | 44.4 | 5.8 | 90.6% | 35.9% | 11.3% | 3.6% | 1.4% |
Milwaukee | 43.7 | 6.2 | 88.6% | 30.7% | 9.7% | 3.2% | 0.8% |
Minnesota | 23.7 | 14.8 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
New Jersey | 24.2 | 14.7 | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% |
New Orleans | 35.9 | 11.1 | 6.4% | 1.0% | 0.2% | 0.0% | 0.0% |
New York | 33.5 | 11.5 | 8.4% | 0.8% | 0.2% | 0.0% | 0.0% |
Oklahoma City | 47.5 | 5.3 | 90.6% | 42.4% | 19.3% | 8.6% | 3.8% |
Orlando | 54.8 | 1.7 | 100.0% | 85.0% | 61.6% | 40.9% | 26.5% |
Philadelphia | 34.0 | 11.2 | 11.3% | 0.9% | 0.2% | 0.0% | 0.0% |
Phoenix | 49.4 | 4.2 | 96.1% | 53.0% | 28.0% | 13.8% | 5.9% |
Portland | 46.4 | 6.0 | 85.2% | 37.0% | 15.6% | 6.7% | 1.9% |
Sacramento | 33.0 | 12.4 | 1.2% | 0.2% | 0.0% | 0.0% | 0.0% |
San Antonio | 50.2 | 3.6 | 97.5% | 57.2% | 31.1% | 17.1% | 8.6% |
Toronto | 38.3 | 8.9 | 45.0% | 6.8% | 1.7% | 0.2% | 0.0% |
Utah | 50.9 | 3.3 | 98.0% | 61.5% | 34.7% | 19.8% | 9.2% |
Washington | 31.9 | 12.3 | 3.7% | 0.3% | 0.0% | 0.0% | 0.0% |
BBR Rankings
Finally, here are the first BBR Rankings of the season:
Rank | Prev | Team |
---|---|---|
1 | 13 | Miami Heat |
2 | 3 | Orlando Magic |
3 | 12 | Portland Trail Blazers |
4 | 1 | Los Angeles Lakers |
5 | 8 | San Antonio Spurs |
6 | 2 | Boston Celtics |
7 | 10 | Denver Nuggets |
8 | 9 | Dallas Mavericks |
9 | 20 | New Orleans Hornets |
10 | 16 | Chicago Bulls |
11 | 14 | Milwaukee Bucks |
12 | 11 | Oklahoma City Thunder |
13 | 6 | Utah Jazz |
14 | 7 | Atlanta Hawks |
15 | 17 | Houston Rockets |
16 | 4 | Phoenix Suns |
17 | 15 | Charlotte Bobcats |
18 | 5 | Cleveland Cavaliers |
19 | 24 | Golden State Warriors |
20 | 23 | New York Knicks |
21 | 18 | Memphis Grizzlies |
22 | 30 | New Jersey Nets |
23 | 21 | Indiana Pacers |
24 | 27 | Sacramento Kings |
25 | 19 | Toronto Raptors |
26 | 26 | Philadelphia 76ers |
27 | 25 | Detroit Pistons |
28 | 29 | Minnesota Timberwolves |
29 | 28 | Washington Wizards |
30 | 22 | Los Angeles Clippers |
October 25th, 2010 at 3:21 pm
To me, all of these seem pretty flawed. Cleveland, OKC, Washington all seem pretty off to me. But maybe I'll eat my words!
October 25th, 2010 at 3:44 pm
Miami Heat are more probable to win the title than the Lakers? Shows what stats know.
October 25th, 2010 at 3:46 pm
EJ - That one sounds about right to me.
October 25th, 2010 at 3:57 pm
Right, of all the things you can fairly take issue with about with these projections (believe me, I have my own problems with them, but hey, you work with the data you've got), you pick Miami over L.A. as your biggest complaint? Even Vegas has them as the favorites!
I mean, complain about Cleveland being rated too high in WS... complain about OKC being too low in both... complain about any team being led by a rookie, like John Wall or Blake Griffin, getting shafted (I gave all rookies a generic per-minute rate)... complain about SPM's love affair with Marcus Camby causing Portland's projection to skyrocket... etc.
There are plenty of legit issues to raise, but Miami being favored over L.A. really isn't one of them.
October 25th, 2010 at 4:04 pm
Yeah I just loved seeing Cleveland not only winning 46 games and the division but also winning the first round of the PLAYOFFS!
But hey, that's why they play the games you know. Stranger things have definitely happened.
October 25th, 2010 at 4:06 pm
"I gave all rookies a generic per-minute rate" Well, that explains my Wizards :-) Thanks for clearing that up.
October 25th, 2010 at 4:18 pm
Re #6 - Yeah, it's because I couldn't find a significant relationship between draft position and rookie performance. All rookies might as well be assigned a generic below-average rate.
Re #5 - I think it's funny that Miami plays Cleveland at some point in both playoff projections. Would that not be one of the most compelling early-round series of all time? Miami would be heavily favored, of course, so it may not be a long series, but the hype around the games would be surreal.
October 25th, 2010 at 5:03 pm
That would arguably be as compelling a series than the Lakers-Celtics series in recent years. Espeically with the commerical Nike just released that' is aimed at LeBron's critics regarding "The Decision", all the ingredients would be in place for must-see-TV.
BTW, is there a method that can give an "equivalent" for wins that a player's SPM score is worth? Or is it more practical to keep in in terms of point differential?
October 25th, 2010 at 6:26 pm
Can last year's actual results be posted in comparsion to the 2009-2010 projected standings? I'd like to see how historically accurate this projection has been.
October 25th, 2010 at 6:54 pm
Re: #9 - Sure, here were last year's WS projection results (found here - http://www.basketball-reference.com/blog/?p=3727):
Also, you can find last year's basic SPM projections here:
http://www.basketball-reference.com/blog/?p=3361
http://www.basketball-reference.com/blog/?p=3330
2011 is a strange year, with all the player movement... I think a lot of predictions, here and elsewhere, are going to be more inaccurate than ever before, because neither our eyes nor our numbers can really decontextualize a player's performance.
October 25th, 2010 at 8:00 pm
It's nice to see someone throw a little water on the OKC parade. Did anyone on that team (as opposed to Portland or Houston) ever get hurt last year? One unfortunate break to a key player and they might not make the playoffs.
October 25th, 2010 at 8:12 pm
Where in the hell did this insane love for Portland come from?
October 25th, 2010 at 8:17 pm
More proof that Win Shares is a flawed measurement of basketball ability. Cleveland is such an outlier it is embarrassing. 46 wins? Try a quarter of that.
October 25th, 2010 at 8:37 pm
May these projections be accurate for Portland! What a thrill that would be for me!
October 25th, 2010 at 8:41 pm
Celtics over Lakers in 7. Going to be another awesome final...
October 25th, 2010 at 8:53 pm
Sylvan, the Nets won 12 games last season with alot less talent than the Cavs sans LeBron, and you think they can't win more than that?
October 25th, 2010 at 11:17 pm
Yeah, Cleveland is going to win at least 30 games, but looking at the rankings, I'm almost inclined to say that Neil ran these without subtracting James from the Cleveland roster.
Last year's rankings were pretty terrible in a lot of ways. A third of the league was off by 10 wins or more. I distinctly remember posting on one of last year's predictions saying that the Bucks were way undervalued, and I'm glad to see the results posted again. The BBR Rankings look pretty good, except Portland over Los Angeles. However, the Win Shares, etc. ones are all over the place, and their bad track record from last year tells me to not put too much stock in them.
October 25th, 2010 at 11:20 pm
Hey, Neil! I put out my Advanced SPM projections today. An easy way for you to improve/complicate your projections would be to project the drafted players according to their pick--my research shows you can get pretty good differentiation from that. I've got my team win projections and each player's projection over at APBR.
How exactly did you project minutes? I've puzzled over that and haven't come to a great conclusion. I projected the SPM fine, but how to do the minutes is not easy. I used a weighted mix of the player's previous year MPG, an average for starter/backup/3rd string based on the ESPN depth charts, and an average based on the player's SPM projection.
For those interested, here are my (rough, because of the minutes issue) team projections:
It looks like I have more regression to the mean built in than the SPS. Both systems like Portland and San Antonio and Golden State as surprises.
October 26th, 2010 at 12:21 am
Hey, nice work! I was pretty frustrated with rookies this year -- I came up with a curve that gave some differentiation based on pick, but the r-squared was basically zero. Did you manage to get some level of significance in your curves?
As for minutes, I project games using this Ed Kupfer gem:
http://www.sonicscentral.com/apbrmetrics/viewtopic.php?t=859
Then I take a basic 6-3-1 weighted avg of previous 3 years' MP and try to leave that untouched for players not changing roles. For others, I eyeball it and try to get the bigs (PF/C) and non-bigs to add up to a certain arbitrary number for each team. D'Antoni teams that go small a lot kill this approach; does anyone really think Mozgov will get >1000 MP? But in general it seems to be OK. You and I both know projecting playing time sucks no matter what you do.
It looks like we're both getting generally the same ordering for teams, which is encouraging. I know we're vaguely working from the same playbook, but we also took two very different paths between point A & point B.
October 26th, 2010 at 12:25 am
Oh, and your results being closer to the mean is easy to explain... After running the SPM and making sure both offense & defense average zero across the league, I force the results to match the past few years' standard deviation of offensive/defensive efficiency above/below avg before feeding them into the Monte Carlo sim. I feel like this creates a more believable spread of team W-L, at least under ordinary circumstances where 3 of the league's 9 best players don't decide to play on the same team.
October 26th, 2010 at 12:33 am
Obviously this doesnt show how good Blake Griffin is
October 26th, 2010 at 9:11 am
I like the WinShares prediction A LOT but i think it needs more regression to the mean. Predicting the Clippers, Washington and Minnesota to win less than 25 games is probably dangerous
October 26th, 2010 at 9:56 am
Wow these projections are crazy. OKC missing the playoffs? Cleveland winning Central and advancing to the 2nd round? Portland winning 57 and the Wizards and Clippers finishing worse than last year?
October 26th, 2010 at 10:18 am
One of the things that Neil forgot to mention is that the Win Shares projections, which are based on a very simple method to begin with, are overly conservative for younger players. This has a big effect on a team like the Thunder. Another thing to keep in mind is that projecting playing time is extremely difficult
October 26th, 2010 at 12:25 pm
Revised my projections with a less conservative playing-time estimation. I took a weighted (and adjusted for aging) average of the last 3 years, an estimate based on projected ASPM, and an estimate based on the depth chart, and averaged the 3. This helps top-heavy teams and hurts less top-heavy teams.
The full results:
October 26th, 2010 at 12:27 pm
Again, Neil, I'm not artificially "expanding" the projections to match normal stdev of the league... The less conservative minutes projections just had that effect.
I doubt all of the Miami stars' offense will come through intact (like these numbers show--it would be a historic offense rivaling Dallas in '05), but their defense may be better than the player's numbers would project.
October 26th, 2010 at 12:41 pm
Full updated projections here:
Advanced SPM Player and Team Projections
October 26th, 2010 at 2:17 pm
You have a new fan....how could some writers pick the Cavs as the worst team in the league? Does that mean if LeBron went to Minnesotta they would win 61 games this year?
October 26th, 2010 at 3:07 pm
Re: #22,26 - The more I think about it, artificially forcing the distribution to fit past league stdevs was probably not the best idea. But it's always a double-edged sword -- regress to the mean too much, and people say "OMG, why do no teams have more than 52 wins?" Regress too little, and predictive accuracy certainly suffers.
On a barely-related topic, here's a page with simple per-36mp projections for every veteran player who played over the past 3 years:
http://www.basketball-reference.com/blog/?page_id=7954
That covers guys like Yao who didn't play in 2010.
October 26th, 2010 at 3:34 pm
"Re: #22,26 - The more I think about it, artificially forcing the distribution to fit past league stdevs was probably not the best idea. But it's always a double-edged sword -- regress to the mean too much, and people say "OMG, why do no teams have more than 52 wins?" Regress too little, and predictive accuracy certainly suffers."
Yeah, I even hear that over on APBRmetrics. Technically, it's not correct to do that, but the numbers certainly look prettier!
October 28th, 2010 at 8:39 am
If you just expand to match past stdevs, aren't you implicitly projecting that good teams will tend to be lucky while bad teams will tend to be unlucky?
October 28th, 2010 at 1:07 pm
Re: #31 - Interesting point. That is basically what we're implying when we regress to the mean -- that in any season, the handful of best teams have a "true" ability of 55 or so wins, and the team that comes out of that group with the best record and 60+ wins is just the one that happens to be the luckiest. Likewise, there aren't really any "true" <25 win teams, and the one that finishes 20-62 is the unluckiest. So by expanding, I'm implying a level of knowledge about future luck (in addition to skill) that can't be predicted in reality. In other words, we know some team is going to finish with 60+ wins, and we know some team is going to win <25. It happens every year. But which teams will those be?
It's a lot like the annual conundrum in picking NFL playoff teams... Logic would seem to tell us not to pick most of last year's playoff teams to return the following year, because historically there's a 50% turnover rate from year to year. But while we know 6 of the 12 teams that made the playoffs last year won't be back, and 6 new teams will take their place, we have no way of knowing which teams they will be. That's why picking 100% of last year's playoff teams produces a lower error in the long run than trying to determine the 6 teams dropping out and the 6 teams moving up, even though people will look at your picks and say, "you moron, don't you know that 50% of playoff teams drop out the next year?"
In the NBA, you minimize your RMSE by hedging your bets and having no team win more than 54 games, even though people will look at your picks and say, "you moron, don't you know there are 60-win and 60-loss teams every season?"
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