[Patrick Barron]

Extra Possessions Created: A Stat for Measuring Defenders, by Craig Ross Comment Count

CR April 24th, 2019 at 3:48 PM

"Material possessions wear out and become a burden. Possessing the ball endures."

--Craig Ross (via Leon Blum)

At media day in 2018 Luke Yaklich said (something very close to) “what gets measured can get accomplished.” Looking at Michigan’s surprising (to me) 30-7 season, I wonder if a corollary might be even more salient; that “what isn’t measured, or isn’t measurable, isn’t appreciated.”

Michigan’s terrific season found the Wolverines to be pretty average in all elements of shooting the ball. Number 24 in offensive efficiency is hardly terrible, but the Wolverines were (slightly) below average from the line (70.1% versus 70.7%), slightly below average from 3 (34.2% versus 34.4%) and slightly above average from inside the line (51.8% versus 50.1%). These numbers are OK, but not this-team-is-winning 30 of its games OK. So, what’s up?

The answer, of course, is defense and the homily that “defense travels.” Shooting comes and goes, but the thinking is that defensive ability can remain within more narrow limits over a number of trials. Kenpom tracks defensive efficiency and Michigan (after clocking in at # 3 in 2018) was in the top five all year on this measure, finishing at # 2 (TTU, of course, was #1) and flirted with #1 over the last couple of months of the season.

Defense is a team game, of course, but I have had the luxury of sitting close to the floor and the trio of X, Matthews and Teske, was well, I dunno, enthralling for a basketball junkie. I watched Ricky Green and Gary Grant for their entire careers and I never thought I would see better defenders at the point in my lifetime of observing UM. I was wrong. X is a magician on D.

Charles Mathews has been a unique defender since he has the ability to erase a shooting guard or forward. He can cover a point. He won’t back down from a big man on an unhappy switch. From a defensive perspective, the only Michigan forward who matches Charles was Wayman Britt (Britt is the best UM defender I have ever seen) who could (and did) demolish Adrian Dantley (Britt was 6’ 2”) or switch and check a point with ease.

For the record, John Beilein says “Simpson and Matthews are the most driven defensive players I have ever coached.” By rumor, Beilein has coached for a long time.

Chris Webber was a phenomenal defender in his years at UM (let me get back to that) and Steve Fisher used to intentionally funnel ball carriers to the baseline due to Webber’s unusual ability to eliminate any ordinary advantage. Indeed, it was death to most possessions to try to beat those teams to the baseline. Of course, Webber was playing with Juwan Howard, a solid 6’ 10” quasi-post player who could help cover a player disengaged by Webber. The Fabs could play offense, but their defensive abilities weren’t far behind, if they were at all. Rose could defend. Jackson and King could defend. And, at the time, fouls were often called for breathing hard.

Taking Webber out of the comparative equation, I have been stunned by Jon Teske’s ability to play defense. It isn’t just me. When Mark Turgeon stepped to the podium after his impressive team’s loss in Ann Arbor, his first words were “Jon Teske” and how he limited Maryland in their inside game. “Teske,” Turgeon said, “was everywhere.” This is, I think, hard to appreciate if you are watching a game from distance or not watching in slow motion. Teske’s ability to cover the pick and roll---allowing the original defender to catch up---his ability to hedge off ball screens and still defend a big man in the paint, is at a level I have never seen at the NCAA; or maybe any level.

WHAT STATS WE HAVE

But this is pure holism, I concede. It is just an opinion, though I was gratified to see that Mark Turgeon shared it. So I began to wonder if there was some way to measure at least some elements of defensive ability and I came up with the construct of “Extra Possessions Created.” [I can’t swear someone else didn’t think about it before or isn’t tracking it comprehensively now.] I don’t suggest this is the entire way of measuring player value. Not even close. I don’t even claim it is a complete measure of defensive ability. It isn’t. But I think it may hold some kernel of “objectivity” concerning the “defensive” value of a player.

Start with a simple example. Team A shoots 47% as a matter of effective field goal percentage. This would be a dreadful number, what Northwestern did in 2018 at # 327 in the country. Assume they are playing Georgia, a team at 50.7 % and # 178, a very average number. HoeHow How many more shots does Northwestern have to take to balance the books? Assume an average number of shots per game (shot equivalents) is 65. I haven’t evaluated this, but I did run a few teams to see if this was close. If NU takes 65 shots and Georgia takes 65 shots NU loses by 5 points, 66 to 61. But what if NU can grind out 5 more shots? The game is now a push. Would we ordinarily consider 5 shots to be a big deal? Well, it seems like it might be.

This idea led me to consider the value of a “defensive” player in the number of “Excess Possessions Created.” This might be:

ORBs+Steals+ (%*Blocks)-TOs=EPC

Offensive rebounds seems obvious. You get an extra board? You just created an extra possession for your team. Same for a steal. Blocks are a bit more problematic, since not all blocks will lead to another possession. Sometimes the ball goes off the defender. Sometimes the ball lands in the hands of an offensive player. Originally I guessed about 1/3 of blocks resulted in an extra possession for the blocking team. But this has been studied in the NBA (“Kill Rate”) and it seems, at least with the pros, the percentage is between .5 and .68. For the moment my hypothesis is to work with .55, knowing this may be a placeholder and knowing that there is at least one other problem.

The problem is the (theoretical) “intelligence” of the guy blocking the shot. We have all seen players who are more interested in style points, the spectacular play. A ball being blocked about 5 rows into the stands is impressive. But less impressive blocks, those that fall into the hands of a teammate, are a lot more functional. Could it be that some players have a greater capacity to keep balls in play? Anthony Davis, in one study (50 blocks) had a 66% kill rate. Draymond Green? 50%. Andre Iguodala? 80%. My guess is you might have guessed this. On the other hand, the sample sizes are low. The macro data, averaging it all out, is around 55%.

Another problem is the question of TOs since TOs are of different quality. A charge, an illegal screen, or a ball thrown into the crowd isn’t as bad as being picked at mid-court. One results in an ordinary extra possession. The other is likely to lead to an easy run out. This leads to another question, whether it is logical to weight TOs and Steals equally. Since a steal is more likely to lead to a run out than a (say) charge, weighting this equally seems problematic. I am going to guess here, that a steal is about 10% better than a TO. With the caveat that this is a very preliminary stab, here’s my first idea for the construct for a “defensive” valuator of Excess Possessions Created. It is:

ORBs+ (1.1 * Steals) +(.55 * Blocks)-TOs=EPC

Using this, here are the numbers applied to some centers. Why centers? Good question. Partly because I mouthed off on radio and said, excepting Webber and Howard, Teske was the best center in UM history. Partly because I think the primary value of most centers is defensive. They have to be (a) the primary rim protector and (b) be able to get out on balls screens and make sure the offense doesn’t get easy looks off the pick and roll. Also, since most centers are not primary scorers, their value accrues in giving the offense the greatest number of opportunities. That’s my theory at least, with the admission that guys like Kareem or Olajuwan or even Ethan Happ have a value that doesn’t come close to being expressed in such an equation. Note that “Ad.EPC” normalizes to 1000 minutes.

Player OREBs Steals (1.1) Blocks (.55) TOs EPC
1 Jon Teske 73 30 41 18 126
2 Ethan Happ 77 42 24 104 39
3 Terry Mills[1] 81 41 15 75 62
4 Terry Mills[2] 71 22 27 77 43
5 Roy Tarpley[3] 105 31 36 87 85
6 Greg Oden[4] 113 20 58 64 127

Teske’s EPC amount to 3.4 extra possessions per game. Go back to the Northwestern and Georgia hypothetical to see how consequential this is.

Oden was tremendous in 2006-07. And his offensive numbers (1.63 points per shot compared to Teske’s 1.31 points per shot) are better than Teske’s despite the fact Teske was an above average three point shooter in Big Ten games (36.4%) though flopping out of conference (Teske was 3-22 OOC and Oden never attempted a three.) Holistically, I believe Teske creates more space on offense than Oden ever did, but, yeah, Oden. But Oden was known as a great defender and he was. Maybe as good as any center in the BT in a long time. Teske, however, is not all that far behind.

Webber? Well, let’s throw him into the chart.

Player OREBs Steals (1.1) Blocks (.55) TOs EPC
7 Chris Webber[5] 125[6] 54 50 105 124
8 Chris Webber[7] 117[8] 59 46 95 127

Not sure what to make of this at the moment. A work in progress. However, I will go through box scores to get a better number on C Webb’s offensive rebound numbers. Here’s a scan for all BT centers in the 2018-19 season:

EXTRA POSSESSIONS CREATED, 2018-'19 BIG TEN CENTERS

Rk Player School EPC
1 Jon Teske Michigan 126
2 Xavier Tillman MSU 115
3 Dererk Pardon Northwestern 96
4 JuWann Morgan Indiana 94
5 Myles Johnson Rutgers 81
6 Isaiah Roby Nebraska 80
7 Daniel Oturu Minnesota 81
8 Matt Haarms Purdue 68
9 Mike Watkins Penn State 68
10 Bruno Fernando Maryland 64
11 Kaleb Wesson Ohio State 52
12 Ethan Happ Wisconsin 39
13 Luka Garza Iowa 37
14 Giorgi Bezhanishvili Illinois 36
15 Nick Ward MSU 26

At the moment this is just the start of an idea of some creating some “objective” way of evaluating a center’s (at least) “defensive value,” with ORB added into “defense.” I will be curious about others impressions of the matter.

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Notes & Errata

  1. Senior Year
  2. Junior Season; ORBs estimated from his Junior Year
  3. Player of the Year in the BT. Estimated ORBs at .33.
  4. #1 Player in the NBA draft.
  5. Year 2.
  6. Estimated from 362 total rebounds
  7. Year 1
  8. Estimated
  9. No surprise to Brian Cook, on the Tillman train for some time.

Comments

NotADuck

April 24th, 2019 at 5:11 PM ^

I feel like the biggest reason Craig created this stat is to give himself some ammunition when he defends his absurd assumption that Jon Teske is the best center in Michigan basketball history.  He's really good Craig!  Really good!  But not the best!

Ezeh-E

April 24th, 2019 at 4:25 PM ^

Love it, but you've got no TOs for Teske. ESPN has him for 18 (so low!), which should change his EPC to 108. I think this undervalues him, as our team defensive approach doesn't let him go for offensive rebounds as often as Oden.

MichiganAggie

April 24th, 2019 at 4:55 PM ^

Nice analysis. I wonder if you can integrate EPC with defensive rebounds (likely have to adjust per rate) to come up with how many possessions a player contributes to their team

ST3

April 24th, 2019 at 4:57 PM ^

Z is a great defender, but Gary Grant remains the best Michigan defensive guard I've ever seen. Nothing against Z, but Grant was 6'3" and was able to shutdown taller guards. Taller guards can shoot over Z. That may be his only defensive liability, but it is extant. The General also averaged ~2.5 spg compared to Z's 1.4. That's an extra possession per game, which means something.

Bambi

April 24th, 2019 at 5:05 PM ^

Great article Craig. I'm sure Ira loves that you give some value to Turgeon's opinion /s.

There are a few minir errors like others have said (no TOs for Teske, TCU instead of Texas Tech). My one substantive note: if we're saying steals are 10% better than turnovers, hence the 1.1 multiplier, shouldn't a similar multiplier be applied to TOs? A live ball turnover is 10% worse than a dead ball one, then multiply the % of live ball turnovers (either use the league average or if possible % of each players turnovers that are live, don't know what data is available thete) by the .1 multiplier. It may be a small adjustment, but it feels a little more continuous with what you're doing.

Robbie Moore

April 24th, 2019 at 5:22 PM ^

Or, on a more personal note...

"So how about that, Mr. Smarty Pants Communist? Mr. College Professor? Mr. Beatnik? Mr. Hippie? What have you done for me lately?"

CR

April 24th, 2019 at 6:26 PM ^

I will answer that one, Mr. Moore (if that really is your name) by suggesting you cut off the heels of your shoes, climb into a tree and learn to play the flute, while searching for the last remnants of Communist Martyrs High School. 

Signed

The Real George Leroy Tirebiter

Inuyesta

April 24th, 2019 at 5:38 PM ^

Great post Craig.

One way I'd love to see this extended is if it could by normalized according the average/median EPC of the season being played? It seems to me like, with the offensive rebound component at least, comparing a player from one year to a player from another might produce some wonky results because how differently the game is played now. I don't have data to back this up, but modern players seem like they would get fewer OREBs than players from the past because (1) more shots are coming from distance, leading to longer rebounds that a center is less likely to get than a miss from up close; (2) as you pointed out in the Oden-Teske comparison, a modern center is more likely to be the one shooting from the outside, reducing OREB opportunities; and (3) teams these days seem to put a higher premium on getting back on defense to prevent transition as opposed to crashing the offensive glass. So it strikes me as plausible that Player A posting a given OREB% in 2019 is providing a different marginal value to his team than Player B posting the same OREB% in 2009, or Player C in 1999, and so on.

TrueBlue2003

April 24th, 2019 at 5:43 PM ^

Interesting stat. 

I don't think using raw numbers is the right thing to do because it gives credit for simply playing more minutes and possessions.  You'd need to control for that.  Probably the best way to do that is divide this number by the number of possessions played by that player to get a possessions created per possession played number.

OREBs isn't the only offensive stat included here.  So is TOs.  And raw TOs is very much a function of usage.  While Teske still has an absurdly good TO rate, his raw number of TOs is even more unbelievable because he has very low usage, which isn't something you necessarily want to reward.

In any case, I think it's solid indicator of the value a guy adds while not shooting and the numbers confirm what the eyes can see: Teske and Tillman are head and shoulders above the rest of the conference in terms of non-shooting contributions.

 

Inertia Policeman

April 24th, 2019 at 11:10 PM ^

Normalizing for usage is a good idea. Normalizing for minutes/possessions played may not accurately capture value. Being able to play more minutes, particularly as a center, is an invaluable asset. Look at Karl-Anthony Towns in the NBA. On a per-possession basis, he’s the best offensive center in the history of the league, and an average-ish defender. He also fouls a ton, and therefore doesn’t play that many minutes, thus becoming less valuable to his team’s chances of winning.

TrueBlue2003

April 25th, 2019 at 11:56 AM ^

I completely agree that an ability to play a lot of minutes matters to ones overall value.

I don't think this is a great measure of ones overall value, though. It is literally meant to be a measure of how many extra possessions one creates for his team.  And the raw number doesn't necessarily capture how effective you are at doing that.

To use another counter example, Xavier Tillman wouldn't have ranked as well in this category when Ward was starting and he was playing less than half of MSUs minutes.  But his endurance and foul rate had nothing to do with his lower minutes.  It was purely his coaches substitution decisions.  But a per possession analysis been done like this, it would have been very clear how good Tillman was at creating possessions.  And it would have been very clear that playing him for more possessions would make the team better, which it did.

Teske last year would be a good example too.  His minutes were relatively low because of who else played his position.  So he wouldn't have ranked very highly in these counting stats but on a per possession basis he was outstanding.  The team was better with him on the floor than Wagner even.  So if the counting metric here were normalized on a per possession basis it would have been pretty obvious that Michigan would be just fine this year with Teske playing more minutes.  These was the argument I made all offseason when arguing that Michigan would be just as good or better than last year, which they were.

 

Zeke21

April 24th, 2019 at 6:03 PM ^

Loved this CR.  And yes, I fell off my chair laughing when you stated Teske as the best center in M history.  Bill Buntin, Mills, Webber, Howard, Mccormick, Tractor Traylor, Tarpley would laugh too. 

But he was the Most Improved player in the country last year., 

Comparing X defensively to the General and the quickest guard I ever saw at M, Ricky Green is fine.  But Green and Grant could and would drop 20 on you as well.  If X averages 12 next year, we have something.

Teske numbers are all about his lack of turnovers this year.  Let's see what he does next year. I will be rooting for him. Love his game.

Finally, Tarpley was by far the most talented Big I have seen at M.  Including Webber, who was a man child. But Roy was unstoppable except by drugs.

Naked Bootlegger

April 25th, 2019 at 8:18 AM ^

I don't think that CR would argue with you about whether Tarpley and Webber were more physically talented than Teske, or were better offensive players. They were.   They were also much more voracious defensive rebounders than Teske.   But this is a defense and extra possession generator statistical analysis.    CR argues (correctly, in my opinion) that Teske's aggregate statistical profile proves his net worth, and those stats don't lie.   And something not being adequately captured by this statistical measure - Teske's uncanny ability to neutralize the pick and roll game.   

I truly appreciate with Teske does on the court.   He's somewhat limited offensively, but his defensive contributions make up for those shortcomings.   

jessebux

April 24th, 2019 at 6:25 PM ^

Love this metric that you've created, I think you also want to adjust for pace and number of games though. The raw numbers you're using are season totals but it's going to come from a really different number of possessions. Last year Michigan had 66.6 possessions per game (2464 possessions over the season) compared with 70.1 for MSU (2734 for the season). That's an extra 300 possessions for Xavier Tillman to generate stats compared with Teske. Really you care about the per-possession probability of getting a block/steal/OREB/TO, I think you're implicitly discounting the stats of teams that play at a slower pace.

Of course, this will only help your claim that Teske is really good...

TrueBlue2003

April 24th, 2019 at 6:37 PM ^

While the overall idea of controlling for pace is absolutely correct, Teske and Tillman didn't play 100% of their teams possessions.  Tillman shared time early almost 50/50 with Ward so he only ended up playing 60% of his teams minutes.  If he played 60% of possessions as well (reasonable to assume) he still would have played fewer possessions than Teske who played 70% of Michigans minutes.

In any case, the metric should be divided by the number of possessions that player played to get his impact on a possession by possession basis.

jbrandimore

April 24th, 2019 at 9:05 PM ^

With all due respect, I think you have a math error going on with respect to how you are handling blocks.

You are using an assumption that 55% of blocks end up in the hands of the defensive team - which seems reasonable- but what of the 45% of blocks that go back to the offense?

In that scenario, you have literally created an additional shot for the offense.

If you want to game this out, let’s take the example of a low post player who gets his shot blocked, but it goes right back to him, and is put in on a second attempt. That block then literally added zero value to the team. 

As we see this type of sequence fairly often, I do think it should be accounted for.

While it is hard to glean from a box score, I feel most basketball analytics is wrong for this reason. It equates a possession as a shot attempt or equivalent, whether or not possession of the ball actually changes hands.

Go Blue in MN

April 24th, 2019 at 9:58 PM ^

But if you block a shot, by definition it didn't go in the hoop.  So a blocked shot that the offense retains is sort of a mulligan.  The offense is right back in the same spot as before.  I think Craig has it right in assigning a zero to that scenario for purposes of his new metric.

The biggest weakness of this metric in terms of being a holistic evaluation of defense is that it doesn't account for what the defender does to the other team's FG%.  That's a huge component of good defense.  Just think of how much better our defense would have been if a certain player closed out more quickly and consistently on the shooter.  Think of how many times the opposing offense failed to get off a good shot because of Simpson and Matthews' clamp-down D.  Of course, that's much more difficult to measure. 

jbrandimore

April 24th, 2019 at 11:17 PM ^

A blocked shot that you don’t end up with has zero value as I said. I think we agree.

I also think all offensive rebounds are not equal. If I rebound my own missed shot, and then go on to miss again, I’m not sure I have really created any net value.

I’m also thinking that at the end of the day, there isn’t a substantial difference between offensive and defensive rebounds. In both cases, your team ends up with possession. 

The only justification I could see for treating them differently is if you knew that the eFG was higher after an offensive rebound vs after a defensive rebound. I suspect that is the case, but that’s purely anecdotal.

Mr Miggle

April 25th, 2019 at 9:10 AM ^

A blocked shot has some value, even when it goes back to the offense. 

It takes up some of the shot clock, which can be significant. If it's a shot block by the center, it was likely of an otherwise high percentage shot. On the aggregate, I'd expect possessions after a block to lead to fewer points on average.

I see differences between offensive and defensive rebounds. The nature of the sport is that teams trade possessions. Offensive rebounds add an extra possession. Contested defensive rebounds are just one of the ways the opponent takes over the ball. Defensive rebounds are often conceded by the offense. While preventing offensive rebounds and creating them are both important in the aggregate, the average offensive rebound has more impact on the number of possessions than the average defensive one.

Go Blue in MN

April 25th, 2019 at 11:57 AM ^

If it were true that an offensive rebound is worth more than a defensive rebound, a team that is great in OREB but terrible in DREB, and average in rebounding overall should be better than the opposite, a team that is terrible at OREB but great at DREB and average overall .  But I doubt that 's true.  The first team is getting a lot of high % shots, but it is also allowing its opponent a lot of high % shots.  The opposite team is doing, well, the opposite.  I think they wind up in the same place.

Mr Miggle

April 25th, 2019 at 12:45 PM ^

The math is that teams get more defensive rebounds than offensive, even when their average at both is terrible or great. So if you assign the same weight to offensive and defensive rebounding rates, then individual offensive rebounds are worth more.

Another way to look at it is that getting an offensive rebound is a bigger plus than not getting one is a minus. The average OREB rate is around 25%. Every time a team gets one, that's .75 above expectations. When they don't, it's .25 below them.

Go Blue in MN

April 25th, 2019 at 2:56 PM ^

Another way to look at it is that missing a chance for a defensive rebound is a bigger minus (-.75) than missing a chance for an offensive rebound (-.25).  It's all simply a mirror image of one another.

Take a low-scoring sport like hockey or soccer.  You wouldn't say defense or goalkeeping is less important because you expect the offense not to score on any individual shot.  You wouldn't say pitching is less important because you don't expect a baseball team to score on a particular AB.

I can win a game either by scoring or by stopping my opponent from scoring.  Both skills are equally valuable.

Mr Miggle

April 25th, 2019 at 4:32 PM ^

I'm not saying defensive rebounding is less important than offensive rebounding. I'm saying that each individual one is less important because there are many more of them and many are uncontested. There aren't equal chances for offensive and defensive rebounds. That becomes relevant when you are using raw numbers for a purpose like CR is doing.

The same principle applies in other sports. Pitching is as important as hitting, but the pitches don't all have the same value. The bad ones that leave the park matter a lot more. 

Same in hockey, When a goalie lets a shot in, that was an important shot. You could also have a big save, but most saves are routine. Having a high number of saves is far less important than giving up a high number of goals. This is most like our rebounding example. There aren't equal number of shots in games. There aren't equal numbers of difficult saves. Each save doesn't have the same value as each goal allowed. If you face 20 more shots than the opponent, you have to have a higher save %. If you face more routine shots, you should have a higher save %.

 

 

 

 

 

Go Blue in MN

April 25th, 2019 at 12:00 PM ^

If I'm reading Craig's formula right, he is using a 55% multiple because that's the percentage of time the defense gets the ball after a block.  So (ignoring that, as someone else has pointed out, different players have different "kill rates") he is effectively counting just those 55% of blocks on which the defense gains possession.  So I'm not understanding your criticism of his formula on that score.  I may be misreading the formula or misunderstanding your critique of it.

OwenGoBlue

April 25th, 2019 at 12:25 AM ^

It sounds like you sought EPC as a defensive stat but this ended up being a bigger idea given OREB and TO inclusion. 

I think Big Sleep will make a solid improvement next year in his game but it might not show up in the counting stats given ideally he's playing fewer minutes. Curious as to what this would look like as an efficiency stat if/as you refine the idea.

Great contribution and really enjoy hearing from you on the roundtable as well. 

k.o.k.Law

April 25th, 2019 at 12:50 PM ^

Most hoop stats are over my head, but this passes the eye test.

Another unmeasurable defensive value is how many times Teske forced the offense out of their offense and into less makeable shots by his presence.

 

So much more useful than unverifiable tales of paying for Old Blue Eyes' cocktail.

:)

egrfree2rhyme

April 28th, 2019 at 1:52 PM ^

This is a great stat! I think it's incorrect to say that EPC reflects the defensive value of a player considering that TOs and offensive rebounds are a factor in it.