Photo Via: Chronicle-Telegram 

A popular way to look at the strength of teams on this site is through composite ratings. This is an act of compiling an aggregate of differing ratings and combining them into one. This time I will be doing this method for NBA Teams at the all-star break.

The original idea came from Ken Massey’s College Football and College Basketball Computer Composite Ratings, however, he does not publish such ratings for pro sports teams. There are indeed less available computer ratings for Pro Sports Teams than there are for college teams, however, there does exist an ampt amount. I took 25 different NBA Computer Ratings and Rankings and compiled them into one.

The methodology is as follows:

30-(Σ(Ranks)/Number of Ratings)+(Median of Ranks))/2

 

then I use a way of normalizing dubbed future scaling just to make the Numbers more clear and easy to read. T The future scaling formula forces all values to be between [0, 1], however I multiply it by 100.

 

Rough Rating Equilvinces: 

95-100: Finals Favorites

90-95: Elite

80-90: Very good but not Elite

70-80: Above Average Playoff Competing Team

60-70: Average Playoff Team

45-60: Borderline Playoff Team/Sub Par Playoff Team

30-45: Below Average NBA Team but Not Horrible

20-30: For Sure Lottery Team

0-20: Awful

 

 

(Rating of Team A-Min. Rating in Data Set)/(Max Rating in Data Set-Min Rating in Data Set) * 100

Here are the 25 Different Ratings I used:

1. NBA W-L%
2. ESPN BPI
3. RPI
4. Sagarin
5. Massey Ratings
6. Power Ratings Hoop Index
7. DRatings
8. Sonny Moore Ratings
9. SRS
10. Fivethirtyeight Full Strength CARMELO
11. Fivethirtyeight Current CARMELO
12. Fivethirtyeight Pure Elo
13. The Power Rank
14. Numberfire
15. Team Rankings Predictor
16. Team Rankings Overall Power Ratings
17. Compughter Ratings
18. Talismanred
19. Dolphin Standard Rankings
20. Dolphin Improved RPI
21. Dolphin Predictive
22. Simmons Ratings
23. Logan Sports Ratings
24. Time Travel Sports
25. Stat Fox

NBA Computer Ratings Composite at the All-Star Break:

1. Milwaukee Bucks (43-14): 100.00
2. Golden State Warriors (41-16): 96.65
3. Toronto Raptors (43-16): 92.94
4. Oklahoma City Thunder (37-20): 87.35
5. Denver Nuggets (39-18): 84.07
6. Boston Celtics (37-21): 79.94
7. Philadelphia 76ers (37-21): 78.90
8. Utah Jazz (32-25): 75.96
9. Indiana Pacers (38-20): 75.47
10. Portland Trail Blazers (34-23): 72.54
11. Houston Rockets (33-24): 69.74
12. San Antonio Spurs (33-26): 60.57
13. Los Angeles Clippers (32-27): 54.37
14. Minnesota Timberwolves (27-30): 51.08
15. New Orleans Pelicans (26-33): 49.06
16. Los Angeles Lakers (28-29): 42.49
17. Orlando Magic (27-32): 42.21
18. Dallas Mavericks (26-31): 41.02
19. Sacramento Kings (30-27): 40.75
20. Brooklyn Nets (30-29): 36.97
21. Miami Heat (26-30): 34.24
22. Detroit Pistons (26-30): 33.75
23. Charlotte Hornets (27-30): 26.07
24. Washington Wizards (24-34): 21.17
25. Memphis Grizzlies (23-36): 19.57
26. Atlanta Hawks (19-39): 12.65
27. Chicago Bulls (14-44): 9.36
28. New York Knicks (11-47): 3.42
29. Phoenix Suns (11-48) : 2.80
30. Cleveland Cavaliers  (12-46): 0.00

Division Ratings:

1. Northwest: 74.20
2. Atlantic: 58.43
3. Southwest: 47.99
4. Pacific: 47.41
5. Central: 43.72
6. Southeast: 27.27

Western Conference: 56.53

Eastern Conference: 43.14

 

Teams that no one can agree on:

1. Orlando Magic Std Dev: 4.32 High: #2 Low: 23
2. Sacramento Kings Std Dev: 3.84 High: #14 Low: #25
3. New Orleans Pelicans Std Dev: 3.52 High: #11 Low: #22
4. Los Angeles Lakers Std Dev: 3.40 High: #13 Low: #24
5. Washington Wizards Std Dev: 2.87 High: #14 Low: #25

Std Dev: Is Standard Deviation, and I am assuming most of you know what this statistic intales, however for those who do not know. It measures the amount of variation in a set of data values. Therefore teams with high standard deviations have individual rankings that differ greatly from one another or their central tendency.