The season's over, with the San Antonio Spurs once again at the top of the basketball world, having proven once again that fundamental basketball, while less aesthetically pleasing to some, is still the way to win a championship. Or having proven that you must have a dominant big man to win a championship. Or that defense wins championships. Or whatever.
The point is that the season is over, and with it go any new stats for us to study. Our last gasp before the summer is to look at Finals MVP. It went to Tony Parker this year, marking the first time that Tim Duncan has been in the Finals and not won the MVP. He probably deserved it, if only for all the crowd shots of Eva Longoria he gave us. Let's take a quick look at the top contenders on the Spurs.
Tony Parker
Game 1: PAWS 1, PAWSmin 0.026
Game 2: PAWS 6.2, PAWSmin 0.174
Game 3: PAWS -3.6, PAWSmin -0.094
Game 4: PAWS 5.9, PAWSmin 0.150
Total: PAWS 9.5, PAWSmin 0.063
Tim Duncan
Game 1: PAWS 10.8, PAWSmin 0.278
Game 2: PAWS 5.5, PAWSmin 0.153
Game 3: PAWS -3, PAWSmin -0.090
Game 4: PAWS -4.9, PAWSmin -0.122
Total: PAWS 8.4, PAWSmin 0.056
Manu Ginobili
Game 1: PAWS 3.9, PAWSmin 0.140
Game 2: PAWS 9.4, PAWSmin 0.336
Game 3: PAWS -7, PAWSmin -0.258
Game 4: PAWS 2.3, PAWSmin 0.069
Total: PAWS 8.6, PAWSmin 0.074
If you at this in terms of Position-Adjusted Win Score per minute, then the surprising winner is Manu Ginobili, who's fantastic Game 2 canceled out his horrific Game 3, and he was consistently good in the other two games to garner a PAWSmin of 0.074. Manu consistently plays about 10 minutes less than Duncan and Parker, however. So the MVP in terms of overall Win Score is Tony Parker.
Parker really played better in these four games than his season average. His PAWSmin for the entire year, regular season and postseason stands at 0.027, good but not great. But he stepped up in the Finals (or, possibly, he was helped by the fact that the Cavaliers had no one who could stay in front of him). Either way, Parker had a good series. His Game 3 was poor, but he played well in Game 1, and was fantastic in both games 2 and 4. Looks like the voters got it right, and your Finals MVP is Tony Parker. Congratulations again to him and the Spurs.
As for this blog and the Win Score Stats site, we'll be taking a posting hiatus and working on programming over the summer. If you check this site from time to time over the summer, you'll probably see the occasional post commenting on some upgrade to the stats site, and I may post some analysis if I get bored. Please have us bookmarked for next year, however. I have a lot of upgrades planned, including being able to search through past years' stats.
Now is the time to leave ideas and requests for the stats site. I still have some previous comments stashed away that I plan on doing, but you are welcome to rehash old requests, or post any new ideas you have for next year. Again, thanks for all the support. Enjoy the summer.
(Points + Rebounds + Steals + ½Assists + ½Blocked Shots – Field Goal Attempts – Turnovers - ½Free Throw Attempts - ½Personal Fouls) / Minutes = Win Score per Minute
5 comments:
Thanks for some great insight this season. Looking forward to following along 2007/08.
Any chance you could add a "Winscore by Position" option? I guess this would be tricky with hybrid players, but it would be cool to search through a single position.
Maybe a filter so you could cull players with low minutes (e.g. Kyle Lowry).
Final recommendation - when users click on Winscore by Team, the default Sort is by minutes. Would it be possible to set the default to WP48? (high-to-low)
By the way, thanks so much for all your work. I check your blog and the accompanying stats every single day. It's like being a kid and devouring the baseball box scores. I appreciate it.
Does anyone know of a winscore for baseball or football?
The Wages of Wins has a "QB Score" that attempts to measure the productivity of quarterbacks. You can see that here:
Wages of Wins Blog
As far as baseball goes, there are already some pretty good measureable stats out there, notably OPS, which measures hitters pretty well.
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