So one thing has always bothered me about Hollinger's rating system, which is that he basis schedule strength on wins and losses, while he uses point differential for other aspects of determining the strength of the team. As point differential is a stronger stat with respect to predicting future winning, I took the schedule of each team, and created a strength of schedule based on the respective opponents point differential.
|Team||Point Differential||Expected Point Differential||Difference from hypothetical ave team|
|Portland Trail Blazers||8.3||2.841176471||5.458823529|
|Los Angeles Lakers||5.3||-0.142857143||5.442857143|
|San Antonio Spurs||4.2||-0.646153846||4.846153846|
|Oklahoma City Thunder||2.3||-1.326666667||3.626666667|
|New Orleans Hornets||-3.3||-2.4625||-0.8375|
|Golden State Warriors||-2.2||-0.614285714||-1.585714286|
|Los Angeles Clippers||-3.8||1.28125||-5.08125|
|New York Knickerbockers||-7.3||-0.26||-7.04|
|New Jersey Nets||-10.4||-0.746666667||-9.653333333|
To explain the headings point differential is the difference between the points the team has scored and the points other teams have scored against them. The Expected point differential is the average point differential for every team they have played thus far. An example would be so an average team on X's schedule would have beaten them by 4, so the expectation is a 4 point win, and so if they won by 5, after one game their 'Difference from the Hyopthetical Average Team' would be 1.
If a team has just played difficult competition that everyone else has also been losing to, then their expected point differential would be low, while if the team has had a creampuff schedule the expected point differential would be high. In this based upon point differential the Nuggets have played the weakest schedule so far, the Bucks the second weakest, and the Blazers the third, while the Bulls and Hornets have played the two roughest schedules to date.
While I do believe that this data does provide valuable insights and that I would stand by this as a ranking of the teams as to how they have played throughout the season up to now, this method does have its flaws. The most obvious being that teams that have played a creampuff schedule will have an artificially high Expected Point Differential, which will mess with the average for the couple of decent teams they have played. If anyone can think of a way to deal with this I can send you the data that I used (basketball-reference.com is where I initially downloaded it), or just feel free to take this yourself. The second most obvious being it doesn't take into account home-away or pace, as the previous stat fan-shot explained in a game with a slow pace a ten point lead can be more imperssive than a 20 point one in a Golden State - Knicks game.
Let me know what you guys think, and if anybody else is interested in combining some of these "advanced" stats for a BE power ranking.