Markieff Morris

Wizards Roll With NBA’s Worst Bench

tire-fire

Wizards bench.

With an average starting unit and the NBA’s worst bench, the Wizards are lurching toward an inevitable appointment with the 2017 draft lottery — assuming team president Ernie Grunfeld doesn’t trade the pick for the next Markieff Morris in an all-out dash for 9th or 10th.

The disastrous bench was in the works at least a couple years, as the franchise’s top strategists laid plans to have loads of cap space for an offseason in which almost half the league would be able to sign a maximum salary free agent. Their subsequent moves to restock the roster seem to reflect one of the defining characteristics of the Grunfeld era: an elite ability to misdiagnose the source of the team’s problems.

Missing the playoffs in 2015-16, according to public statements by Grunfeld and team owner Ted Leonsis, was due to injuries, a bad bench and poor chemistry caused by having so many players in the final year of their contracts. And they shoveled some blame on the coaching as well.

In reality, the Wizards were affected less by injuries last season than most teams in the league, and their bench was about average. I’ll defer to those closer to the team on the cause of whatever chemistry problems existed, although it’s worth noting that multi-year contracts haven’t seemed to fix the issue.

What’s happening this year? Their starters are (like last year) about average, but their bench is a worst in the league catastrophe. They’re the Secretariat of bad benches.

So far this season, the Wizards starters — Wall, Beal, Porter, Morris and Gortat — have a minutes weighted Player Production Average (PPA) of 135. In PPA, average is 100, higher is better, and replacement level is 45. That’s slightly better than the league average starting group (PPA: 132 so far), and ranks 12th. Not elite, but not terrible either.

The bench’s minutes weighted PPA: 28. The average bench: 66. The second worst bench belongs to Memphis, and its PPA is 44. These are the only two teams with benches that rate below replacement level. To put this in perspective, Trey Burke’s PPA this season is 28. Kevin Seraphin, who ended his Wizards career with PPA scores of 35 and 38 would be an upgrade. Kwame Brown was never this bad in Washington. Even Ike Austin (remember him?) managed a 35 with the Bullets.

The gap between Washington’s starters and bench is the third largest, behind the Clippers who have the second best starting unit and fourth worst bench, and Golden State, which has the best starters and the sixth best bench. How good are the Warriors? They’re starting five has a PPA of 211 — 32 points better than Washington’s best player.

This is the team built by Grunfeld and Leonsis, and their cherished Plan. It’s a disaster — not because of injuries or bad luck, but because of a series of poor decisions.

Player Production Average

There is some good news. Wall is having the best season of his career, Porter is producing at an All-Star level, and Beal is healthy and productive.

Marcin Gortat’s production is down, but I don’t think it’s related to aging (I’ll write about this next time). Morris has been worse than expected. To the numbers…

PLAYER GMS MPG 11/8 11/21 PPA
Otto Porter 20 34.4 173 177 179
John Wall 18 35.9 168 167 171
Bradley Beal 17 34.7 66 92 131
Marcin Gortat 20 35.4 135 146 130
Danuel House 1 1.0 119 116
Sheldon McClellan 7 11.1 478 88 81
Markieff Morris 20 31.7 67 78 59
Marcus Thornton 19 19.5 31 41 50
Kelly Oubre 19 15.5 18 17 41
Tomas Satoransky 18 16.6 18 43 29
Trey Burke 16 11.6 -48 28 28
Andrew Nicholson 14 10.1 33 35 9
Jason Smith 19 11.6 -93 -42 -23
Ian Mahinmi 1 14.0 -98
Daniel Ochefu 3 2.7 -181 -119 -117

Wizards Staggering to Start Season

otto-porter-v-mem

The Wizards fired Randy Wittman for this? Six games into the tenure of Scott Brooks, the team sits 14th in the East with a 1-5 record. Washington’s futility is comprehensive — they rank 23rd in both offensive and defensive efficiency.

There are four key team stats that determine who wins and loses in the NBA. Here’s where the Wizards rank so far on offense:

  • Shooting (eFG): 23
  • Turnovers (tov%): 26
  • Offensive rebounding (oreb%): 12
  • Free throw rate (FTM/FGA): 16

On defense:

  • Shooting (defensive eFG): 30
  • Turnovers (defensive tov%): 9
  • Defensive rebounding (dreb%): 12
  • Free throw rate (dFTM/dFGA): 14

Don’t get too encouraged by their top ranking in defensive turnovers. Forcing turnovers isn’t necessarily an indicator of defensive effectiveness. In the NBA, defense is overwhelmingly about shot defense. And the Wizards are dead last in that category so far.

Remember the old days when Wizards fans wanted Wittman fired because the team took two-point jumpers instead of threes? Welcome to the new Wizards, same as the old. So far this season, they’re 28th in three-point attempt rate, but have attempted the fourth most two-point jumpers.

On defense, they’re still keeping opponents out of the paint (they have the fourth lowest defensive at-rim attempt rate), but they’re allowing the second highest opponent three-point attempt rate, and the worst opponent 3FG%.

Back to those four key stats for a moment: while there are four, they’re not created equal. Dean Oliver, who first wrote about these factors in a comprehensive manner, determined these approximate historic weights: shooting 40%, turnovers 25%, rebounding 20%, free throws 15%.

In recent years, those values have shifted, according to my analysis. Last season, shooting was worth about 55%, rebounding 18%, turnovers 15%, and free throws 12%.

This is a long and tortured way of saying the Wizards are bad where it matters most. Being worst in shooting differential and 25th in turnover differential overwhelms their decent rebounding and break-even free throw rate.

Player Production Average

Player Production Average (PPA) is an overall rating stat I developed that credits players for things they do that help a team win and debits them for things that hurt the cause. PPA is similar to other linear weight rating metrics such as John Hollinger’s PER, David Berri’s Wins Produced, Kevin Pelton’s VORP, and the granddaddy of them all, Dave Heeren’s TENDEX.

PPA is pace neutral, and weighs a player’s performance per possession against the performance of his competitors season by season. While PPA falls into the category of linear weight metrics, the actual values for each statistical category floats a bit from season to season based on league performance.

PPA is pace neutral, accounts for defense, and includes a “degree of difficulty” factor based on the level of competition a player faces while on the floor. In PPA, 100 is average, higher is better, and replacement level is 45. Read more here.

Want some good news, look at Otto Porter, John Wall, and (to a lesser extent) Marcin Gortat. The first two have been highly productive so far. Gortat is the team’s only other above-average performer through six games — although his production has been markedly lower than it was last season.

Wall and Porter offer an interesting contrast. Wall’s high PPA is built on volume — he makes LOTS of plays, both good and bad. He uses more than a third of the team’s possessions when he’s in the game, and he’s racking up rebounds, assists, steals and blocks at a prolific rate. He also sports an astronomical turnover rate (7.8 per 100 team possessions).

Porter is all efficiency. He makes the few shots he attempts. He grabs rebounds at a decent rate, plays solid defense, and avoids turnovers and fouls.

The bad news: everyone else. Markieff Morris and Bradley Beal have been terrible, the bench just about useless.

Ernie Grunfeld’s Plan B offseason acquisitions are off to a rough start. Ian Mahinmi is sidelined with injury, Trey Burke has been the next Eric Maynor (but worse), and Jason Smith has been…well…Jason Smith. Tomas Satoransky needs more time to figure out the NBA game.

The numbers:

PLAYER GMS MPG PPA
Sheldon McClellan 2 3.0 478
Otto Porter 6 34.3 173
John Wall 5 34.4 168
Marcin Gortat 6 36.2 135
Markieff Morris 6 34.0 67
Bradley Beal 6 34.8 66
Andrew Nicholson 5 14.0 33
Marcus Thornton 6 17.0 31
Tomas Satoransky 6 13.8 18
Kelly Oubre 5 15.0 18
Trey Burke 6 11.5 -48
Jason Smith 5 10.0 -93
Daniel Ochefu 1 4.0 -181

Wizards Remain Mediocre and Will Miss Playoffs for Second Straight Season

Oklahoma City Thunder v Memphis Grizzlies - Game Six

Yeah, I know the season is underway. Many teams have three games in the books; the Spurs already have four. This still serves as my Wizards preview, because while I’ve watched their first two contests (both losses), I’ve used nothing from the 2016-17 in the projection.

The approach this year is similar to the one I used for previous seasons: every player gets run through my statistical doppelganger machine, which spits out similar players from my historical database (similar production at similar age). There’s a process to weed out players with dissimilar career patterns — it makes no sense to compare a guy who stunk four years and suddenly had a terrific season to a guy like John Wall (for example) who’s been consistently quite good.

Once the list of “similars” is assembled, the system looks at the future of those players as a guide to the potential performance of the players being projected for the upcoming season. When the predicted performance (expressed in terms of Player Production Average — PPA for short) for each individual player has been completed, I estimate minutes (using an approach that must be similar to Kevin Pelton’s since the results were so similar). That gets translated into individual wins, which are totaled to team wins. Wins league-wide are capped at the number of wins available in a season (1230).

What’s new this year? Volume. For the first time, I projected the top 10-12 rotation players of every team. In previous seasons, I ran numbers for only the Wizards. This year — in a never-ending quest to make wrong predictions — I looked at everyone.

The Wizards

The Wizards spent two years hording cap space for an offseason in which nearly half the league would have sufficient room under the cap to pursue free agents with a maximum salary offer. The big prize was hometown hero Kevin Durant, who declined to even meet with the team. The team’s braintrust went after Al Horford (who signed in Boston) before managing to get Ian Mahinmi — a career backup coming off a career year who’s about to turn 30.

Their other roster moves were less inspiring: free agent deals for Andrew Nicholson and Jason Smith, and a trade for Trey Burke. They did manage to sign international guard Tomas Satoransky to a reasonable contract.

Here’s a quick look at what my projection system had to say about this year’s roster:

  • John Wall — Good news: Wall’s similars were a collection of very good players (albeit with a penchant for reputations that were better than their production). Bad news: half of the 10 most similar reached their career peak before age 26. More than half saw production declines following their age 25 season. Last season, Wall finished with a PPA of 144. Projected PPA: 130.
  • Bradley Beal — Beal’s persistent injury troubles overshadow what may be a bigger problem: his consistently mediocre play when he’s been on the floor. His PPA by season (average is 100 and higher is better): 92, 96, 99, 98. Players like Beal tended to peak at “decent starter,” not All-Star or All-NBA. The Wizards awarded him a max contract. Projected PPA: 108.
  • Otto Porter — Porter has improved during his career, and his future looks terrific (projected peak PPA would put him at All-Star level). But, the exercise in projecting the performance of individual players makes clear that it’s unwise to assume a young player will a) improve at all, b) that improvement will be linear, and c) that he’ll ever achieve imagined potential. Similar were useful defensive SF types who were also efficient on offense. But, there was no pattern of improvement after seasons most similar to Porter’s last year. So, Porter projects “about the same” as last year. Projected PPA: 127.
  • Markieff Morris — Last season, Ernie Grunfeld and Ted Leonsis swapped their first round pick in 2016 for Morris, who was deeply unhappy in Phoenix. What they got was a career mediocrity with little chance of getting better. The average peak of players like Morris (in Washington) last season was fairly low (acceptable starter level), and came (on average) at age 25.9. Morris is 27. Projected PPA: 95.
  • Marcin Gortat — The big man has been very good and consistent in Washington. He defied the decline I predicted for last season, and will have to do the same this year. At age 32, a drop in performance is probable — eight of the ten players most similar to Gortat declined the following season, and a ninth maintained. One oldster (Robert Parish) actually improved significantly in his age 35 season. I don’t anticipate something similar in Gortat’s age 32 season. Projected PPA: 147.
  • Trey Burke — The Wizards got him for next to nothing, which was the right price to pay. Burke started his career well below average, and has been less productive each year since. His comps were mostly backups who had short NBA careers. Surprisingly, Eric Maynor didn’t make the list. I’m actually predicting a modest improvement for Burke, although he’s unlikely to be close to what Ramon Sessions provided. Projected PPA: 67.
  • Tomas Satoransky — No comps for Satoransky since he didn’t play in the NBA last season. Although he has experience overseas, the NBA is the world’s most competitive sports league, and most players struggle to make the transition. Projected PPA: 65.
  • Kelly Oubre — The second year swingman seems to have abundant potential despite a horrific rookie season. Unfortunately, the history of players who performed like Oubre isn’t a pleasant one. Improvement was surprisingly modest (I double-checked the spreadsheet cells to make sure they were calculating correctly), and peaks were depressingly low. It’s worth mention that the same was true after Porter’s rookie year, although Porter had an injury. Projected PPA: 37.
  • Andrew Nicholson — The PF is coming off his best season (PPA: 81), which could mean he’s figured things out and is ready to become a useful backup, or…it could be the best he’ll ever play and he’ll recede to previous levels. His comps are useful backup types, and my projection suggests the latter. Projected PPA: 86.
  • Ian Mahinmi — When the Wizards whiffed on their other free agent targets, they turned to Mahinmi. It’s not exactly a bad contract under the league’s new financial realities, but it’s a #SoWizards kinda move. Mahinmi was a career backup who finally got a chance to start and responded with a career year. That’s good, right? Sure, except a) he’s going back to the bench in Washington (the team’s most productive player per possession the past few years (Gortat) plays the same position), and b) he’s about to turn 30. His “most similar” list is mostly journeyman centers. Some had high peaks, but few sustained it. What’s most likely is that he’ll be decent, but not nearly as good as he was last year. Projected PPA: 112.
  • Jason Smith — The decision to give Smith a multi-year deal was puzzling. He has a career PPA of 59, posted a 57 last season, and is 30 years old. It’s another #SoWizards move: no chance of meaningful contributions and no upside. It’s a nice lotto payout for Smith, though. Projected PPA: 50.

A potential wildcard: new head coach Scott Brooks. Previous coach Randy Wittman had his strengths, but would have ranked in the bottom third in the NBA. Brooks figures to be better, but the relevant research suggests the differences between professional coaches is pretty small. The exceptions are the very best and very worst coaches, but there’s a broad middle ground where coaches help a little or hurt a little, but don’t fundamentally alter their teams’ trajectories. While I think Brooks is an upgrade from Wittman, I also think they both occupy that middle ground.

Options

As I projected the entire league, I found that my process tended to push each team back towards the middle. The gap between the strongest team (Golden State) and the weakest (Phoenix) was about 26.7 wins. In recent years, the difference has been almost double that amount. So, I came up with an alternate method that ranked every team by their projected production, and then applied the average win total for that rank over the past five seasons.

The Wizards project to be ninth team in the East, and 19th in the NBA. Don’t go betting the mortgage, because my approach produced some results that are at odds with my gut and with predictions made by others I respect, such as:

  • My system likes Chicago and thinks the Bulls could finish as a top four team in the East.
  • Orlando projects to make the playoffs (7th seed).
  • Milwaukee and Atlanta both project to be worse than the Wizards.
  • In the West, my system likes Oklahoma City, Minnesota, Utah and Houston more than Portland.

For the Wizards, the win total from my projection system: 41.0. From the average record by league rank approach: 37.5. Take your pick.

My prediction: 41 wins and 9th place in the East.

Those Disappointing Wizards

wittman confused

The surest way to get disappointed is to start with unrealistically high expectations. For exhibit gazillion, I present the 2015-16 Washington Wizards.

During the preseason, there was a fascinating disconnect between fans, media observers, and my statistical analysis. Many, including some of my stat pals at APBRmetrics thought the Wizards would be pretty good. The team seemed to fit a familiar narrative — they’d been bad, they’d gotten a taste of the playoffs (and even won a first round series) in 2013-14, and then had been better yet in 2014-15 (complete with a first round sweep of the Toronto Raptors). Fueled by All-Star John Wall and his young backcourt buddy Bradley Beal, the Wizards would take the next step and become Eastern Conference Contenders.

Over on the message board at RealGM, 76 members predicted the team’s final record. The average prediction: 48.0 wins. (Strictly speaking, 77 members made a prediction. I’m removing my own because it fits into a different category). A helpful soul compiled nine media predictions (strictly speaking, it was eight plus a betting service’s over/under line; also there are ten predictions listed, but 538’s belongs in a different category), which were only slightly less optimistic: 46.6 wins.

Roll all of those up, and it’s 85 predictions ranging from a high of 56 to a low of 37. The group pick: 47.9 wins.

The APBRmetrics crowd was less optimistic — average prediction: 44.8 wins.

My stat-based model predicted 41.4 wins, but I rounded up to 42 in my preseason analysis at Vice. The guys at 538.com predicted 41 wins.

What’s gone wrong? Nothing unexpected, really. Wall’s been maybe a little less productive than anticipated, but he’s quite close to my preseason prediction. Beal hasn’t been as good as I’d predicted — and he got hurt more than I’d expected — but that’s counterbalanced by Marcin Gortat and Otto Porter being healthier and more productive than projected.

So, was it injuries that doomed the Wizards? No. While the Wizards are near the league lead in games missed due to injury, most of the games were missed by bottom of the rotation guys — Alan Anderson, Drew Gooden, Gary Neal. Yes, Nenê and Beal missed their usual allotment. But among players who were on the roster since preseason, they’re fourth and sixth in per possession production. Washington’s three most productive players per possession (Wall, Gortat and Porter) have missed a total of 13 games.

There’s another whopping problem with the “injuries done ’em in” narrative: it’s hopelessly one-sided. For example, when I ran an estimate during the All-Star break on how many additional games the Wizards might have won at full health, I looked only at the Wizards. To do this analysis properly, however, it’s nonsensical to ignore injuries suffered by other teams.

Not having time today for a complete analysis of my own, I turn to ManGamesLost.com. That site lists the Wizards as having the third most games missed due to injury this season. They have two measures of the effect those injuries have had on the team. The Wizards rank 21st in one, and 19th in the other. In other words, injuries have cost Washington LESS in the win column than the average NBA team.

To put it more simply: the injury excuse is bullshit.

So what went wrong? Again, nothing surprising. Most of the players performed to reasonable preseason expectations. The team had been very average in preceding seasons, and several teams in the East improved while the Wizards tried to maintain their averageness.

The reason the Wizards are so disappointing is that fans and media (and apparently the players) set about constructing a narrative of a surging franchise. Unfortunately, the foundation for that narrative consisted of inflated win totals in a historically weak conference, and a massive overestimation of the importance of first round playoff wins.

Keep in mind that the playoffs represent tiny sample sizes. Last season’s postseason lasted 10 games. Washington’s record: 6-4. The previous season, it was 11 games. Their record: 6-5. At any other time in a season, such a performance would be expected for an average team. When it happens in the playoffs, it becomes a portent, an omen. And there’s a dose of that curious one-sidedness when it comes to injuries.

Many said (repeatedly) something to the effect of: “The Wizards might have beat the Hawks if only Wall hadn’t hurt his hand.” Acknowledged far less often is the reality that Washington’s first-round sweep of Toronto was helped by a serious back injury that hobbled Raptors star Kyle Lowry. If we’re going to imagine “what if” scenarios for a full-health Wizards against Atlanta, we also ought to recognize they might not have gotten out of the first round against a full-health Raptors squad.

With five games to go, the Wizards have a slim (about 2%) chance of reaching the postseason. All they need do is win out while Detroit loses three of their remaining four. But, as they limp toward the lottery (with the pick likely going to Phoenix), the team still embodies what I wrote in the preseason: it’s a mediocre roster that lacks an elite producer.

Player Production Average

The ratings below are from a metric I developed called Player Production Average (PPA). In PPA, players are credited for things they do that help a team win, and debited for things that don’t, each in proportion to what causes teams to win and lose. PPA is pace neutral, accounts for defense, and includes an adjustment based on the level of competition faced when a player is on the floor. In PPA, average is 100, higher is better, and replacement level is 45.

League-wide PPA scores through games played 04/05/16 are here.

PLAYER GMS MPG 11/10 11/22 12/3 12/13 12/21 12/30 1/6 1/13 1/27 2/11 3/1 3/14 4/5
Marcin Gortat 71 30.3 91 112 128 133 132 138 147 145 148 151 172 169 171
John Wall 77 36.2 153 129 136 168 157 157 149 144 142 146 153 148 145
Otto Porter 70 30.8 144 158 104 116 107 115 122 127 130 130 134 126 131
J.J. Hickson 11 7.4  –  –  –  –  –  –  –  –  –  – -14 96 108
Markieff Morris 24 26.2  –  –  –  –  –  –  –  –  –  – 41 58 95
Bradley Beal 52 31.3 128 108 96 87 87 86 85 86 98 108 94 94 95
Jared Dudley 76 26.1 36 92 90 85 98 103 100 105 99 104 106 98 89
Nene Hilario 53 19.1 58 90 80 74 79 78 79 88 92 84 86 90 82
Ramon Sessions 77 19.6 131 119 84 90 87 89 88 91 90 89 88 85 76
Alan Anderson 9 14.4  –  –  –  –  –  –  –  –  –  – 97 90 68
Marcus Thornton 11 12.3  –  –  –  –  –  –  –  –  –  –  – -6 65
Garrett Temple 75 24.6 38 106 57 54 70 63 68 79 79 69 59 56 57
Jarell Eddie 22 4.5  –  –  –  –  – 153 119 113 110 86 68 51 55
Kelly Oubre 59 9.8 -103 -4 -40 -44 9 37 43 39 36 29 22 25 27
Drew Gooden 28 10.6 99 51 57 56 56 56 38 47 34 31 26 22 22
DeJuan Blair 29 7.5 -345 -129 -112 -45 -34 -38 -38 -28 -6 -15  –  –  –
Gary Neal 40 20.2 23 49 64 75 78 74 75 78 71 70 69  –  –
Kris Humphries 28 16.6 90 121 95 80 78 76 79 79 78 76  –  –  –
Ryan Hollins 5 9.6  –  – -40 60 59  –  –  –  –  –  –  –  –

Good news: Gortat and Porter continue to play well. Leaving aside the issue of the crummy trade that acquired him, Markieff Morris has been solid after his first four games with the team.

Bad news: Wall remains significantly below the game’s elite performers, Beal continues to rate a bit below average, and key role players (Jared Dudley, Ramon Sessions and Nenê) have all seen production slip over the past few weeks.

In the “puzzling” category goes Randy Wittman’s playing time decisions. The team’s top lineup with more than 100 minutes this season has been Wall-Beal-Porter-Morris-Gortat. Their second best lineup is exactly the same except with Dudley instead of Morris. The second lineup has been together for precisely zero minutes over the past month.

Also puzzling has been the benching of Dudley, who has been a solid player for them throughout the season. Dudley seems ideal as a league average caliber player who gets around 24 minutes per game divided between SF and PF. The Wizards started him at PF much of the season, and have now slashed his minutes from 27.0 minutes per game through the first 72 games to just 14.0 over the last five — 4.5 minutes per game fewer than Garrett Temple.

The Surprising Problem for the Wizards

wall frustrated

One of The Official Narratives of the 2015-16 Washington Wizards season is that point guard John Wall is terrific, but is getting sideswiped by a substandard supporting cast. Last month, The Washington Post’s Dan Steinberg lamented that, “The saddest thing here is that the Wizards might be in the process of sacrificing a year of John Wall’s prime.”

In Michael Lee’s excellent article at Yahoo!, Wall echoed Steinberg, saying: “I ain’t trying to waste a season.

Adam McGinnis and I touched on the subject during our podcast last week.

Alas, as is the case with many Official Narratives, there are problems.

  1. On a per-possession basis, Wall isn’t Washington’s most productive player. That honor goes to center Marcin Gortat. Because Wall plays five more minutes per game than Gortat, Wall leads the team in total production.
  2. Wall is not an elite player.
  3. The overall production difference between Wall (Washington’s top producer) and Gortat (second in total production) has been vastly overstated.
  4. The quality of Wall’s “supporting cast” isn’t bad.

Wall’s PPA (see below) is 148 this year. Among players with at least 500 minutes this season, he ranks 54th. Among point guards, he ranks 11th. Wall has had stretches of dominant play, but his performance continues to be plagued by the same bugaboos he’s had throughout his career: turnovers, poor shot selection and poor shooting. Gortat, by the way, ranks 29th in PPA.

Wall isn’t an elite player. For the past few seasons seasons (including this one, most of the year), he’s rated as a top 8-10 point guard and a top 40-50 player overall. That’s very good, but well short of the impact from elite point guards and elite players. He could be great — he was in December, for example. But his performance game-to-game is a mix of fantastic and horrible. Which averages out to very good, not elite.

The average PPA of top total producers for each team is 179 — 31 points better than Wall. Among those top 30 producers, Wall ranks 24th in per possession production — ahead of Carmelo Anthony, Rajon Rondo, Nerlens Noel, Gordon Hayward, Tyson Chandler and Jordan Clarkson.

The average top producer has provided 22.0% of his team’s production. Wall is about average at 21.8%.

The average gap between a top producer and his team’s “number two” is about 4.5%. For Wall and Gortat, it’s 2.7%. Want a player who actually fits The Official Narrative? Try New Orleans where Anthony Davis has a PPA of 189, provides 26.3% of his team’s production, and (at 13.2%) sports the biggest drop to his team’s second most productive.

Since you’re wondering, the top five in total production shares:

  1. Stephen Curry, GSW — 29.6%
  2. Russell Westbrook, OKC — 26.7%
  3. James Harden, HOU — 26.4%
  4. Lebron James, CLE — 26.3%
  5. Anthony Davis, NOP — 26.3%

And, here’s the top five in drop-off to “number two”:

  1. Anthony Davis, NOP — 13.2%
  2. Stephen Curry, GSW — 12.7%
  3. James Harden, HOU — 8.5%
  4. Kawhi Leonard, SAS — 8.3%
  5. Kyle Lowry, TOR — 8.2%

Wall and the Wizards are 20th.

That’s all fine, you might be saying, but The Official Narrative isn’t necessarily that Wall’s “Robin” sucks, it’s that the roster lacks depth. That lack of depth means Wall has to carry a heavier load than other franchise leaders. Unfortunately, this is also wrong.

For this question, I calculated minutes-weighted PPA (mwPPA) for each team — after deducting the production of its top player. mwPPA provides a handy way of measuring the relative quality of each team’s roster.

The league average “supporting cast” posted an mwPPA of 92. The Wizards rank 14th so far this season with a 93. Since you were wondering, here’s the top five in supporting cast mwPPA:

  1. SAS — 124
  2. GSW — 121
  3. ATL — 107
  4. OKC — 105
  5. BOS — 104

So, to recap:

  • Wall isn’t elite.
  • The gap between Wall’s total production and Gortat’s is smaller than average for a number one to a number two.
  • The Wizards “supporting cast” is mediocre, not terrible.

The real problem for the Wizards is in that first bullet. Their problem: they don’t have an elite player.

Player Production Average

The ratings below are from a metric I developed called Player Production Average (PPA). In PPA, players are credited for things they do that help a team win, and debited for things that don’t, each in proportion to what causes teams to win and lose. PPA is pace neutral, accounts for defense, and includes an adjustment based on the level of competition faced when a player is on the floor. In PPA, average is 100, higher is better, and replacement level is 45.

League-wide PPA scores through games played 3/14/16 are here.

PLAYER GMS MPG 11/10 11/22 12/3 12/13 12/21 12/30 1/6 1/13 1/27 2/11 3/1 3/14
Marcin Gortat 60 30.2 91 112 128 133 132 138 147 145 148 151 172 169
John Wall 66 35.9 153 129 136 168 157 157 149 144 142 146 153 148
Otto Porter 59 30.1 144 158 104 116 107 115 122 127 130 130 134 126
Jared Dudley 65 27.7 36 92 90 85 98 103 100 105 99 104 106 98
J.J. Hickson 6 7.5  –  –  –  –  –  –  –  –  –  – -14 96
Bradley Beal 42 30.6 128 108 96 87 87 86 85 86 98 108 94 94
Nene Hilario 42 18.8 58 90 80 74 79 78 79 88 92 84 86 90
Alan Anderson 8 14.0  –  –  –  –  –  –  –  –  –  – 97 90
Ramon Sessions 66 20.3 131 119 84 90 87 89 88 91 90 89 88 85
Markieff Morris 14 26.0  –  –  –  –  –  –  –  –  –  – 41 58
Garrett Temple 64 25.4 38 106 57 54 70 63 68 79 79 69 59 56
Jarell Eddie 21 4.7  –  –  –  –  – 153 119 113 110 86 68 51
Kelly Oubre 53 10.7 -103 -4 -40 -44 9 37 43 39 36 29 22 25
Drew Gooden 28 10.6 99 51 57 56 56 56 38 47 34 31 26 22
Marcus Thornton 3 15.0  –  –  –  –  –  –  –  –  –  –  – -6
Ryan Hollins 5 9.6  –  – -40 60 59  –  –  –  –  –  –  –
Kris Humphries 28 16.6 90 121 95 80 78 76 79 79 78 76  –  –
Gary Neal 40 20.2 23 49 64 75 78 74 75 78 71 70 69  69
DeJuan Blair 29 7.5 -345 -129 -112 -45 -34 -38 -38 -28 -6 -15  –  –

A Bit More on the Trade for Markieff Morris

markieff-morris

In talking with fans, I’ve pulled up all kinds of information about Markieff Morris. Here are a few observations that came mostly from examining the claims made by folks who support the acquisition:

  • 2014-15 was the best season of Morris career. He posted a Player Production Average (PPA) of 102 (see below for a brief explanation). Among the 81 players identified by Basketball-Reference as PF who received at least 500 minutes, Morris ranked 36th.
  • Morris ranked 17th among PFs in total production last season, which would sound better if I omitted mention that he was second in total minutes played.
  • Last season, among the 27 PFs who played at least 500 minutes and had a usage rate of 20% or higher (I had Morris at 22.0% last season), Morris ranked 24th in offensive efficiency.
  • In the defense part of PPA, Morris rated slightly better than average last season. Not a good defender, but not terrible either.
  • Among those 81 PFs last season, Morris ranked 62nd in rebounds per 100 team possessions. This season, Morris ranks 49th among 66 PFs with at least 500 minutes.
  • While his work on the boards is a weakness, Morris could actually improve Washington’s rebounding by taking minutes from Jared Dudley. It was a bad idea for the team to rely so heavily on Dudley — a poor rebounder at SF — as the team’s PF. Dudley is the worst rebounding PF in the league. He trails second worst Luc Mbah a Moute by more than a rebound per 100 team possessions.
  • Morris has played badly this year. Some trade supporters have mentioned Morris averaging 20.6 points and 7.6 rebounds per game in the month of February. Two primary problems here — first: the “month” is five games so far, which is to say Small Sample Size Theater; and second: Morris has scored more by shooting more. His offensive rating in those five “good” games was a below-average 102 points per 100 possessions, and his rebound rate was below average. Overall, Morris posted a PPA of 86 in February. Better than the season average by a bunch, but still below the league average.
  • There’s a false narrative circulating that Morris saw his production drop last season (2014-15) after the Suns traded away their backcourt. His PPA was 147 15 games into the season. It bounced around in the 120-130 range, but trended down for the next 30 games. His PPA fell below 120 in the 48th game of the season — January 30 — and continued to decline from there. As of the last game BEFORE the trades, his PPA was just 103. With his new teammates the rest of the way, his PPA was 101. He finished the season with a PPA of 102.

markieff 2014-15 rolling ppa

Player Production Average (PPA) is a metric I developed in which players are credited for things they do that help a team win, and debited for things that don’t, each in proportion to what causes teams to win and lose. PPA is pace neutral, accounts for defense, and includes an adjustment based on the level of competition faced when a player is on the floor. In PPA, average is 100, higher is better, and replacement level is 45.

A First Look at the Wizards Trade for Morris

markieff

In a trade deadline deal, the Washington Wizards acquired power forward Markieff Morris from the Phoenix Suns in exchange for power forward Kris Humphries, forward/center DeJuan Blair, and a first round pick (protected through the top nine picks).

It’s a heavy price to pay for a player who combines Morris’ lack of production with personality issues. It’s also a signal of the front office’s desperation to make the playoffs.

The issue, of course, is that first round pick. Humphries has been injured and below average this season; Blair apparently forgot how to play basketball when he arrived in DC.

What’s that pick going to be worth? Three or four years ago, I used PER to evaluate the expected value of draft picks. Picks 10-14 (where Washington’s pick is likely to fall when they miss the playoffs) have an average four-year PER of 14.5. Morris’ career PER: 14.8. In PER, average is 15.

According to PER, Morris’ peak (so far) was an 18.4 coming off the bench in 2013-14. He followed that up with a 15.8 last season, and an 11.1 this year. So hey, crummy players and a pick who might turn out to be average for a guy who’s been average and had some personal problems this year. Not bad, right?

Well, in my analysis Morris hasn’t been that good. According to Player Production Average (PPA), the metric I developed, Morris has a well-below average 79 (in PPA, average is 100, higher is better, and replacement level is 45). Here’s his year-by-year PPA scores:

  • 2011-12 — 52
  • 2012-13 — 70
  • 2013-14 — 97
  • 2014-15 — 102
  • 2015-16 — 27

What’s behind the difference between PPA and PER? Three key items:

  1. PER rewards players for taking more shots so long as they make about 28% of them; PPA does not.
  2. PPA accounts for defense; PER does not.
  3. PPA includes a “degree of difficulty” factor based on the level of competition faced; PER does not.

What to like about the trade? Morris isn’t old — at 26, he should be entering his prime years. And he’s signed at a flat $8 million per year for the next three seasons after this one. With the cap expected to rise $40 million over the next two seasons, that salary could end up being a relative bargain even with meh production.

What kind of player are the Wizards getting? I ran Morris’ best year (2014-15) through my statistical doppelganger machine — just waving away his crummy play this year. The machine kicked out names like Lamond Murray, Keith Van Horn, Tim Thomas, Morris Peterson, Al Harrington, and Thaddeus Young, with repeat seasons from Thomas and Harrington.

Bucks fans probably remember Grunfeld trading for Thomas, and then awarding him a massive contract — despite thoroughly pedestrian play from Thomas.

Best case scenario, the Wizards get the Morris of 2014-15. He was inefficient on offense and was basically average in the non-scoring part of his game, but he’ll at least be as good as Jared Dudley overall.

Quick addendum: I used PPA to project the Wizards record over their final 31 games assuming they’d get the Morris from 2014-15. That’s a PPA of 102, and represents the best he’s played over a sustained stretch.

For the projection, I assumed perfect health (no one misses any games for any reason), and the following nine-man rotation:

  • Wall 36 mpg
  • Beal 33
  • Porter 32
  • Gortat 32
  • Morris 32
  • Dudley 28
  • Nenê 16
  • Sessions 15
  • Temple 12

After a bit of math, my PPA Wins Projection Machine says Washington will go 16-15 over its final 31 games. That would leave the team with a 39-43 record, and a likely ninth or tenth place finish. Odds are: Phoenix would get the pick in this year’s draft.