MEGASTAT is here.
MEGASTAT is an amalgamated statistic that I threw together, which basically takes 3 of the foremost advanced stats and gives each of them an equal weight, in an attempt to remove some of the biases between the stats.
I gathered data from two websites, www.basketball-reference.com and www.thenbageek.com, and I included every player (for the last 3 seasons) who played more than 100 minutes over that period. For each of these players, I included their Player Efficiency Rating (PER), Win Shares per 48 minutes (WS/48), and Wins Produced per 48 minutes (WP48). I also included the True Shooting % and Minutes Played for fun, though they were not included in the creation of MEGASTAT, except to the extent that they are already included in the calculations of PER, WS/48, and WP48. Last, I weighted each year's MEGASTAT calculation by the percentage of that player's minutes over the 3 years.
Why did I put this together? What use does this have? Well, as the Clipper Nation began to dive deeper into the world of advanced stats, we came to see that there are some biases within each stat. This is most clearly evidenced by a player on our own team, Reggie Evans. We've seen the good that he does on the court, and we've heard the chants fill the Staples Center. Yet his PER and Win Shares are pretty below average. Then again, we know he can't create a shot to save his life, so maybe he is below average, right? Wins Produced thinks otherwise. Really otherwise. MEGASTAT seeks to even things out.
My thought process was that if PER and WS/48 think Reggie's not terrible, but not good, and WP48 thinks that Reggie is very good, then shouldn't the middle ground be somewhere above average? Or alternatively, if a player is considered to be pretty solid by a couple of the stats, but just terrible by the third stat, then shouldn't the middle ground be somewhere below average?
The results are not that surprising, for the most part. Kenneth Faried looks like the next Kevin Love (as discussed in this article). Jeremy Evans looks like a steal for Utah, but for some reason he's not playing much. If they aren't aware of what they have, it might be a good idea to take him off their hands. Kawhi Leonard is great and doing it in plenty of minutes, but it seems like San Antonio knows what they have.
Anyway, take a look for yourself, and let me know if the database isn't working.
Oh, I forgot to mention how to read this. 100% = the average player. Therefore, if someone is at 200%, they are presumably twice as good as the average player. Or if they are at 50%, they probably shouldn't be playing much. Maybe they're a rotation player (like Foye). You get the idea.