Great job, but for this measurement, it's better if you use turnovers per possession. If you can't get it possessions per quarter stats, then turnovers per minute is suffice, but not ideal.
Your statement that "~15% of Lin's turnovers coming from traveling sounded really high!" sounds really weird to me, because your own calculation "Traveling: 14/185=7.6%" says Lin's traveling 7.6%.
Thanks for the great information. I know it's a touchy issue, but one explanation why Jeremy's turnover's drop off in the fourth quarter is that minutes drop off as well compared to the other quarters due to blow out wins or the coach thinking they need a more energy or a defensive stopper. A good way to answer this question is to see how many turnovers they get per minute in each quarter. It'd be interesting to see if Jeremy Lin is more effective in handling the ball in the fourth quarter.
62.9% of Delfino's TOs were bad passes. I think it's a direct result of him trying to play the playmaker role too much. 38.1% of Parsons' TOs came from lost ball, traveling and discontinued dribble. A possible cause for that I think is he tends to dribble a little too much. Also possibly when he tried to play the playmaker role, he dribbled before he found a teammate to pass the ball to. Also 37.3% of Parsons' TOs were bad passes. I think it's a bit too high for a small forward, but it fits in with McHale's offensive system for him to play some playmaker role. He just needs to improve his accuracy of passing. All of these stat percentages supported my eye test on them.
Merrrlo said he didn't get the graph in his first sentence. Guess it's the reason why he did the calculation himself based on numbers in the table.
Asik has way too many turnovers considering he's 1) not a primary ball handler, and 2) not a focal point of the offense.
Thank you very much, perfect example that we need to be careful when taking numbers. I trust the graphing software too much and forgot to double check the filter setting is correct. I have a big table and graph and calculate the percentage all based on the filter I set. So, sorry for the mess up, and thanks a lot for point it out. Here is the corrected graph, and it makes more sense.
Here's how I see it. If Harden sucks one night, there is a small chance that someone else on the team (including Lin) can carry the team to victory. If Lin sucks, then there's a larger chance that one of his teammates (of which includes Harden) will have a good enough game to get the win. I don't have stats to back this up, but this is what my feels are telling me.
I also want to say that I love that fans like the OP are willing to do this. Love the enthusiasm. Especially when its honed in a productively to induce productive conversation.
Neither of them sucked last game. But other starters and most of the bench sucked so hard that Harden/Lin couldn't carry the team anymore.
Exactly. Nice effort, some interesting data: thanks! I don't wanna play war between Lin and Harden though.