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Regressed Career Three Point Shooting

(Bump for sometimes some of us forget how good Chris Hill was.)

After yesterday's post in which I gave the regressed three point shooting for the B1G Ten conference since the 2001-02 college season, SpartanDan commented he'd be more confident in this applied to individual players. So that's what I did.

For all of the back story on the method (simple regression), I'll just quote what I've already written:

Tom Tango, consultant to nearly every NHL team, a few MLB teams, author, and noted advanced baseball statistician blogger laid out regression very well in a post on his blog here. His post was on NBA free throw percentage and how much skill exists in that (a lot). I may appear to somewhat know what I'm talking about mathematically, but it's really more of a smoke screen. I didn't possess the knowledge to do something that turns out to be relatively simple, provided you've got a spreadsheet handy. Tom's post sparked my mind which prompted me to grab the shooting data for the Big Ten teams as far back as I could get them. It also sparked Matt Snyder, author of To Maroon and Gold, a blog on the Calvin Knights -- a D3 school in Michigan -- who ran a regression to estimate true talent team three point defense. (You may also know Matt from his wonderful baseball writing at Motor City Bengals on the Tigers.)

Star-divide

I extracted all the data from Sports Reference's College Basketball section, which gave me individual data from the 1998-99 season through yesterday.

First, let's take a look at the best three point shooters in this time frame by raw three point percentage. I'm using a cutoff for these leader boards at 500 attempted three's in a 'career'. I figure an average of 125 three's attempted per year in a four year career would be a good bench mark for the real shooters in the league. Onward to the data!

 

RkPlayerTM3PM3PA3P%
1 Chris Hill MSU 306 735 0.416
2 Jon Diebler OSU 370 893 0.414
3 Michael Thompson NW 273 663 0.412
4 Blake Hoffarber MINN 279 679 0.411
5 Drew Neitzel MSU 273 684 0.399
6 Luke Recker IOWA 203 508 0.400
7 Cory Bradford ILL 327 843 0.388
8 Kirk Penney WIS 217 561 0.387
9 Luther Head ILL 209 547 0.382
10 Danny Morrissey PSU 221 579 0.382

 

I tend to forget just how good of a three point shooter Chris Hill was. I remember him being good, but he's all-time good. There's Jon Diebler, who in my article yesterday, I mentioned likely wasn't a true talent 50% three point shooter even though he went 110-for-220 this year. His career three point percentage is closer to his real talents.

Here's the top ten in regressed three point shooting:

 

RKPlayerTM3PM3PAr3P%
1 Chris Hill MSU 306 735 0.407
2 Jon Diebler OSU 370 893 0.406
3 Michael Thompson NW 273 663 0.402
4 Blake Hoffarber MINN 279 679 0.401
5 Drew Neitzel MSU 273 684 0.392
6 Luke Recker IOWA 203 508 0.390
7 Cory Bradford ILL 327 843 0.383
8 Kirk Penney WIS 217 561 0.381
9 Luther Head ILL 209 547 0.377
10 Danny Morrissey PSU 221 579 0.377

 

Everyone is regressed downward and we see that basically, the best of the best are still just hitting around 40% of their three's. The level of regression on these guys ranges from 14% (Diebler) to over 20% (Luke Recker [22%], Kirk Penny [20%] and Danny Morrissey [20%]).

The amount of regression is based in the number of attempts. Given that, it makes sense that the individual season is regressed more. Let's focus on Jon Diebler. Diebler in his first two seasons was 260-for-673 which is 38.6% from deep. If we plug those in, we'd need to regress his numbers to about 18% towards league average. Basically, it's saying that 4/5ths of his skill from the three point line is Diebler and 1/5th is some sort of random variation -- be that luck, good coaching, playing with players who get him good looks -- or what have you.

This year, Diebler is 110-for-220 from three. If we look at his 2010-11 season alone, we would need to regress it 40% towards the league mean. Essentially, this is saying that this year, 60% of his three point prowess is attributed to Diebler with the remaining 2/5ths being attributed to some random variation. For his career, it looks like this:

 

PlayerClassSeason3PM3PA3P%3P REGr3P%Delta
Jon Diebler FR 2007-08 48 166 0.289 0.47 0.320 0.031
Jon Diebler SO 2008-09 96 231 0.416 0.39 0.392 -0.023
Jon Diebler JR 2009-10 116 276 0.420 0.35 0.398 -0.022
Jon Diebler SR 2010-11 110 220 0.500 0.40 0.443 -0.057
Jon Diebler N/A CAREER 370 893 0.414 0.14 0.406 -0.008

 

3P REG is the amount of regression you need to apply for that particular season. r3P% is his regressed three point shooting percentage. The Delta is the difference between his regressed three point percentage and his actual three point percentage. As you can see, his career r3P% isn't far from his raw career 3P%. Still, three point shooting is volatile enough that you need to regress a players career total -- even someone like Diebler who's shot nearly 900 treys in his career -- around almost 15% to the league mean.

So, how much do you regress at various levels? Well. . .

 

Regressing_individual_three_point_shooting_graph_medium

 

 

This is the amount you should regress based on the number of attempts taken by a player in either a season or career. You can click the image to enlarge. Basically, 1/5th of a players three point percentage once they reach 500 attempts is random variation/luck dragons/quality teammates/what have you, while 4/5ths is skill.

However, in a given season, you're likely to see around 250 attempts from your teams best three point shooter, which would mean you should regress their percentage a little over 1/3rd to the league mean. The amount of regression gets steeper the closer you get to 50 attempts.

This makes intuitive sense. Let's say you've got a standard coin. One side is heads and one side is tails. You flip it 75 times and it comes up heads just 29 times (38.7%) while it's tails the remaining 46 times (61.3%). The coin only has two sides so there's a 50-50 chance of flipping heads or tails. Yet, in this run of 75 coin clips, you've managed almost a 60-40 slant towards tails. This, is just random variation or luck or anything you'd like to call it.

For basketball, there's more randomness in shooting a three then there is in flipping a coin. Mike Tisdale is 29-for-75 from three point land in his career and given the small number of shots, we'd estimate his true talent at being a 36.6% three point shooter rather than a 38.7% shooter he is on the surface. If you look at the graph, 75 attempts would be regressed about 65% towards the league mean, which is exactly what I'm regressing Tisdale to. He is likely a bit above-average three point shooter (league average is around 35%), but we are fairly uncertain at just how much above-average (if at all) he is.

Below are the top 15 single-seasons by regressed three point percentage, with a minimum of 100 attempts.

 

RkPlayerClassSeasonPosSchool3PM3PA3P%3P REGr3P%Delta
1 Jon Diebler SR 2010-11 G OSU 110 220 0.500 0.40 0.443 -0.057
2 Blake Hoffarber JR 2009-10 G MINN 85 180 0.472 0.45 0.420 -0.052
3 Marshall Strickland SR 2005-06 G IND 69 144 0.479 0.50 0.417 -0.062
4 Jamar Smith FR 2005-06 G ILL 66 137 0.482 0.52 0.417 -0.065
5 Dane Fife SR 2001-02 G IND 66 140 0.471 0.51 0.412 -0.059
6 Chris Hill JR 2003-04 G MSU 84 185 0.454 0.44 0.411 -0.043
7 Chris Lutz SO 2006-07 G PUR 58 123 0.472 0.54 0.409 -0.063
8 Stanley Pringle SR 2008-09 G PSU 72 159 0.453 0.48 0.406 -0.046
9 Demetri McCamey SR 2010-11 G ILL 74 164 0.451 0.47 0.406 -0.045
10 Armon Bassett SO 2007-08 G IND 69 152 0.454 0.49 0.406 -0.048
11 John Shurna JR 2010-11 F NW 73 163 0.448 0.47 0.404 -0.044
12 Kyle Hornsby JR 2001-02 G IND 72 161 0.447 0.47 0.404 -0.043
13 Dee Brown JR 2004-05 G ILL 99 228 0.434 0.39 0.404 -0.031
14 Keaton Nankivil SR 2010-11 F WIS 57 125 0.456 0.54 0.402 -0.054
15 Chris Hill FR 2001-02 G MSU 66 148 0.446 0.50 0.401 -0.045

 

Lots of familiar names given the people we saw on the career leader board. In case you were wondering, Illinois' Jamar Smith had the largest difference between his r3P% and his actual 3P%, getting docked 6.5%. He shot 66-of-137 from three in 2005-06 which was 48.2%. His regressed 3P% was 41.7.

Here is a spreadsheet with career regressed three point percentages (min. 50 attempts) as well as individual seasons (min. 10 attempts). The data is on two separate tabs. To download, click the link and go to File > Download As > your medium of choice.

This is a FanPost, written by a member of the TOC community. It does not represent the official positions of The Only Colors, Inc.--largely because we have no official positions.

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Chris Hill and Lucas reputations are similar

Most people don’t remember how good Chris Hill was because his early years at MSU were very successful, but he didn’t improve significantly in his junior or senior years.

I think the same will happen when we look back at Lucas.

by JimmyB! on Mar 23, 2011 11:45 PM CDT reply actions  

Except

Lucas had one hell of a good excuse, and Chris Hill just kind of struggled for no reason (other than a ton of pressure on him) during his senior year.

I would think we’ll remember them differently simply for the fact that Lucas fought back amazingly from a very serious injury and Chris Hill didn’t.

I find Chris Hill’s senior year more analogous to Durrell Summers’.

by AlkalineKidAP on Mar 24, 2011 1:42 PM CDT reply actions  

Hill's role was changed later in his career

He went from a spot up shooter early on, to being a primary ballhandler his senior season. So his function on the team changed. He wasn’t necessarily the best passer, or best at penetration to set up others, but he had a good enough handle to keep his turnover numbers low.

by MSUDersh on Mar 24, 2011 1:59 PM CDT up reply actions  

Yes

It was not entirely his fault that he was not as good of a shooter his senior year. It was the team’s lack of a PG (Neitzel was just a freshman) that forced him more into a ballhandling role. Marcus Taylor’s leaving left those guys in a bind for a few years.

by AlkalineKidAP on Mar 24, 2011 2:13 PM CDT reply actions  

Interesting numbers.

I feel like the regression isn’t getting at a player’s “true” shooting ability, however. The vast majority of shooters probably get better as they get older and more comfortable within their offense (e.g. Diebler’s steady improvement above). It irons out the year-to-year “luck”, but it also disregards legitimate improvement as variation. Maybe it’s just nitpicking, but I view it as more of an average than a “true” shooting ability.

by Stuka on Mar 24, 2011 2:13 PM CDT reply actions  

You present Diebler and I present Chris Hill

Hill went .401, .386, .411, .361. I’m not so sure there is the steady improvement that feels like there should be, but there’s a better-than-average chance that I’m wrong in that assumption. I’m usually more cautious in that. It’s what I’m going to look at right now, actually.

by Mike Rogers on Mar 24, 2011 2:16 PM CDT up reply actions  

OK, from the regression chart on down it makes

a heckuva lot of sense. When you went into Diebler’s comparative regressions a couple paragraphs earlier, I had a “WTF?!” moment. It didn’t seem to square with me that for three years results were 80% skill, then for one year it was 60% skill; then I reread the narrative and saw the 18% regression was a cumulative of three years compared to one year.

"I'm not a psychopath, Anderson, I'm a high-functioning sociopath. Do your research." - Sherlock Holmes

by KenK on Mar 24, 2011 3:38 PM CDT reply actions  

Not a problem, Once I figured out the metrics, it was pretty clear. Again, this is really good analysis, thanks for your efforts.

"I'm not a psychopath, Anderson, I'm a high-functioning sociopath. Do your research." - Sherlock Holmes

by KenK on Mar 24, 2011 9:07 PM CDT up reply actions  

It's posts like these

That make me wish I understood math . . .

by MSUDersh on Mar 25, 2011 7:49 AM CDT up reply actions  

Calc 1
Ken 0
.. and so it goes.

"I'm not a psychopath, Anderson, I'm a high-functioning sociopath. Do your research." - Sherlock Holmes

by KenK on Mar 25, 2011 7:10 PM CDT up reply actions  

Not sure about this tool

So, I use a lot of statistics in manufacturing… I wouldn’t call myself a statistician, but I’m better than the average bear. Could someone point me in a direction of an instance where you would use regression like this in a physical example? I buy the explanation of variation and such, I just see the extrapolation to a regressed percentage as awfully fast and loose with a little data. I would never dream of taking a similar metric (maybe paint defects on a part), measuring an actual value, and then replacing it with a calculated one. Then saying the difference was due to some other random variation. For shooting, I would be more interested to know if the shooter was in statistical control or if the mean had, in fact, shifted.

Andy

by elmsandr on Mar 24, 2011 9:36 PM CDT reply actions  

I am certainly not a statistical expert,

but shouldn’t there be some sort of improvement factor that we should look at that takes into account the fact that we are comparing 18 year old freshmen with 22 year old seniors who have shot 1000’s of three pointers in the meantime. Woudn’t the average players mean that we are regressing towards change as he gets older?

by spartan37 on Mar 25, 2011 10:31 AM CDT reply actions  

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