I'm pretty tired. Wish I had @Ron Mexico's debate endurance.
But if we're measuring streaks, what does it matter if they happen in a peak or a trough? Also, I'm not sure more constrains on which FG% matters. As long as you're being consistent, the fg% after hitting several shots should be better than after missing a bunch of shots.
I'm pretty tired. Wish I had @Ron Mexico's debate endurance.
Plotting rolling 8 or 10-shot averages for players known as "scorers" should show if there is a trend. This ought to be easy to do for someone with access to the data.
https://en.wikipedia.org/wiki/Hot-hand_fallacy
Glancing over that there seems to be more support in the last few years FOR the hot hand. I thought I had read something about it the last year or so.
Edit:
Dang, and here I was, 45 posts in thinking that link hadn't already been posted.
This may depend on how you define 'normal field goal percentage.' If you remove shooting streaks from the total population of shots, the players field goal percentage will be lower than their overall average field goal percentage.My hypothesis was that hitting any number of shots in a row does not improve your chances on the following shot. You'll still hit your percentages on any shot in a large sample regardless of whether you hit or missed the previous few shots. That's how I'm defining it.
If the hot hand is real, then after hitting, say, 5 shots, the 6th should go in at a higher rate than your normal fg%. This should show up regardless of any complexities because we're averaging out all the times you've hit that many shots, ideally.
Except that by construction, the total field goal percentage on all remaining shots will be lower after removing series of makes than after removing series of misses.But if we're measuring streaks, what does it matter if they happen in a peak or a trough? Also, I'm not sure more constrains on which FG% matters. As long as you're being consistent, the fg% after hitting several shots should be better than after missing a bunch of shots.
My hypothesis was that hitting any number of shots in a row does not improve your chances on the following shot. You'll still hit your percentages on any shot in a large sample regardless of whether you hit or missed the previous few shots. That's how I'm defining it.
If the hot hand is real, then after hitting, say, 5 shots, the 6th should go in at a higher rate than your normal fg%. This should show up regardless of any complexities because we're averaging out all the times you've hit that many shots, ideally.
Did you account for probability, 2 vs 3, and maybe somehow even missed shots leading to fouls that aren't recorded? Let's say a 2 point shooter hits .5, so the chances of making 3 in a row is .125. Now, it's obvious that the 3rd shot still has a statistical chance of .5 and not .125, but in games where someone goes on a streak did they hit that 3rd shot at a rate higher or lower than .125? Obviously they did.
So now we can establish a delta - how many times did a player shoot above and below their 3 in a row probability, then plot their standard deviations. I doubt if you did a bell curve of these standard deviations and calculated that standard deviation that players like Rodney Hood wouldn't be far from the middle. I'm almost certain you wouldn't find a 3 off deviation unless maybe you were plotting Shaq's free throws, but I'd bet you could find something approaching 2. I say those 2's are evidence of streak shooters/hot hand.
Except that by construction, the total field goal percentage on all remaining shots will be lower after removing series of makes than after removing series of misses.
I didn't really account for anything. Three years ago, the question about hot streaks occurred to me one evening, so I spent a couple of hours investigating it and then posted the results (it had graphs and ****). It is by no means a serious attempt at providing an answer that can withstand serious scrutiny. The code simply compares the FG% of the whole sample, to the probability of a shot hitting after 2, 3, or 4 previous hits.
During the discussion then, and today, it turns out that some analysis has been done on the subject. Earlier attempts went with similar approaches to mine, and showed similar results. It was generally considered that the hot streak phenomena is a myth. But apparently, there have been newer and more sophisticated analysis, that suggests the opposite. I'm going to have a bit about this to see where the thinking is on this.
I just don't think that you can statistically prove this either way. You can only disprove it with stats but human nature and the eyeball test say otherwise. Coaching says otherwise when they tell 3 point shooters to shoot of the hop. Rhythm and momentum are things that we can't quantify.
I don't agree. The world is full of things that people swear are so, but under examination they are clearly not so. If the phenomenon is true and has an effect on the real world, then that effect can be quantified. I don't see how it can be otherwise.
The Hot Hand fallacy.
https://en.m.wikipedia.org/wiki/Hot-hand_fallacy
Data does not support the hot hand hypotheses exept at the free throw line.
That's just it. The FT line, which, in a live game, has the least number of variables to show that in fact a hot hand can exist. During regular play, there are too many variables that come into play. I hit a few shots, my defender guards me closer, goes over the screen, etc. I hit four in a row, I might take a more difficult "heat check" shot. If I miss, it does not mean I don't have a hot hand.