Wizards Update: Rolling in the East

It’s good to be a Wizards fan right now. The team is 9-3, and reasonable forecasts suggest they’re probably the second best team in their conference. That the conference is historically weak isn’t their fault. The front office put together a solid, veteran squad, and the rest of the conference backed up.

So far this season, the NBA’s collective record vs. Eastern Conference teams is 111-85. That’s a .566 winning percentage, which works out to about 46 wins over an 82-game schedule.

Against the Western Conference, the NBA’s collective record is 86-112, which is a .434 winning percentage. That means about 36 wins over an 82-game schedule.

In other words, we would expect an average team facing the East to win about 46 games…which is what Basketball-Reference forecasts for the Wizards. To highlight the relative power differential between conferences, Basketball Reference predicts the Wizards will finish the season as the second best team in the East, but with an SRS (a robust and “simple” rating system that combines a team’s scoring differential with that of its opponents) that would land it 11th in the West.

But, this is a “moment in time” snapshot. The picture changes a bit with every game played. And there are still a ton of games on the schedule.

Before I get to this week’s stat update, I wanted to address a recurring sentiment I’ve been hearing from an array of Wizards fans. Basically, it’s some variation on the theme that Kevin Seraphin is having a good season or a breakout game or a coming out party or developing into a valuable reserve.

He’s not. At least not so far.

In fact, he’s playing poorly, even compared to his previous performances, which ranked him as the league’s least productive center (per minute) two seasons ago, and the second least productive center last season.

On offense, he’s shooting a good percentage this season, but continues to be a poor passer and a turnover machine. He rates as having very little defensive impact,because of his anemic defensive rebounding and rampant fouling.

The measuring stick on Seraphin is so off that one fan (who later suggested it was the beer talking) tweeted a rave about Seraphin being a revelation on a night the big fella shot 2-7 from the floor.

Here’s Seraphin’s game-by-game PPA scores for this season:

GMS	MIN	PPA
1	7.7	-202
2	1.9	-1003
3	22.1	184
4	13.9	-84
5	18.1	64
6	19.5	139
7	16.7	-70
8	16.1	-36
9	10.6	-36
10	23.4	83
11	13.1	-29

In PPA, 100 = average and higher is better. In 11 games, Seraphin has managed an above-average production rate twice. He’s been a net negative seven times — six, if you prefer to throw out the two-minute stint in the second game of the season.

I like Seraphin, the person. But, he’s not a good NBA player. He hasn’t become one. He’s showing very few signs of developing into one. The Wizards need to find another option as their backup center.

Below is the Player Production Average (PPA) update. 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 per-minute, 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 = average, higher is better and replacement level is 45.

PLAYER	GMS	MPG	10-Nov	18-Nov	PPA
John Wall	12	35.7	185	180	180
Marcin Gortat	12	30.9	181	186	170
Paul Pierce	12	27.5	140	138	165
Bradley Beal	3	30.7			122
Rasual Butler	8	16.4	60	131	116
Otto Porter	11	24.4	97	106	101
Garrett Temple	12	26.8	121	112	96
Andre Miller	12	12.6	72	69	92
Kris Humphries	11	15.6	46	87	90
Nene Hilario	11	27.1	108	102	68
Drew Gooden	7	18.0	42	40	59
Kevin Seraphin	11	14.8	38	13	17
DeJuan Blair	3	3.7	-41	-40	-40
Glen Rice	5	8.6	-120	-117	-117

This week, I’ve added a column to show each of the previous PPA updates. I’ll keep doing that as long as there’s space.

Wall seems to be settling in at a very high performance level. It’s scary to think there’s still lots of room for improvement too. Seth Partnow at BBall Breakdown did a nice job of summarizing the problem with Wall’s shot selection. Improved decision-making would likely improve the PG’s individual efficiency, and give his team a much-needed boost.

I don’t see how the Wizards could have hoped for more from Pierce, who is performing at a high level in the early going this season.

Nenê suffered a plantar fascia injury to his right foot in the win over Milwaukee. While it’s not good to lose a starter, Nenê has been playing nothing like a starter. His defense shows up as a slight net positive, but doesn’t come close to offsetting his awful offensive efficiency.

Wizards Update: Still Cause for Concern

The Wizards are 7-2 to start the season, which ought to be cause for celebration. And, judging by media reports and fan reaction, that’s mostly what’s happening. So what’s wrong with me?

I’m unconvinced that the good record is particularly meaningful. This is not to suggest the Wizards need to apologize for the competition they’ve faced. They don’t make the schedule, and it’s not their fault that the East is possibly weaker than it was last season — when it was aggressively bad. All Washington can do is keep beating whoever’s on the calendar, which is what they’ve been doing so far.

But…I’m still concerned because of the way they’ve been winning. In sports, the best teams typically have the highest scoring differentials. The Wizards this season stand 11th in scoring differential at +2.22, which doesn’t sound bad except that their opponents have a collective scoring differential of -2.52. In other words, the Wizards are winning by less than the rest of the league against their opponents. At least so far.

There’s a strong sentiment that’s something like: Hey, the Wizards are winning games they should win, which is real progress for this franchise. To an extent, I agree. But, what often happens to an average team (and the numbers are suggesting the Wizards are pretty average) is that over time, they’ll lose games they “shouldn’t.” And there are a TON of games left on the schedule.

Some have pointed out that Washington has played so far without Bradley Beal, which is true but perhaps not as meaningful as some think. Beal was pretty average last season, and didn’t project to make a huge leap this year (at least not in my preseason analysis). Much of what I anticipated he’d provide has been produced by Garrett Temple and Rasual Butler thus far.

Perhaps the best reason to think Washington might be able to win 48-50 games this season is the good fortune of playing in a historically weak conference. Just six Eastern Conference teams have a positive scoring differential so far, and the sixth (Brooklyn) is us by one point total so far this season. All that said, in Basketball-Reference’s simple rating system (which combines scoring margin with strength of schedule), the Wizards currently sit 16th overall and 6th in the East. If they want to make some noise this season, they need to play better.

Below is the Player Production Average (PPA) update. 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 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 = average, higher is better and replacement level is 45.

PLAYER	GMS	MPG	LW	PPA
Marcin Gortat	9	31.3	181	186
John Wall	9	35.6	185	180
Paul Pierce	9	27.4	140	138
Rasual Butler	5	19.2	60	131
Garrett Temple	9	31.1	121	112
Otto Porter	9	24.2	97	106
Nene Hilario	8	28.6	108	102
Kris Humphries	8	13.9	46	87
Andre Miller	9	12.9	72	69
Drew Gooden	6	19.5	42	40
Kevin Seraphin	8	14.5	38	13
DeJuan Blair	3	3.7	-41	-40
Glen Rice	5	8.6	-120	-118

The numbers show Gortat and Wall playing outstanding basketball. Both are performing at an All-Star level. Wall could push his way into All-NBA consideration, if he continues. Gortat’s PPA is currently sixth among centers behind Tyson Chandler, Omer Asik, DeAndre Jordan, DeMarcus Cousins and Robin Lopez.

Biggest improvers this week were Butler and Humprhies. Largest drop was from Seraphin, whose field goal percentage dropped while his rebounding, turnovers and fouling remained poor.

Wizards Update: The Worries

The Washington Wizards are off to a 5-2 start, tied with Miami for first place in the NBA’s Southeast Division, and sitting on pretty good odds of getting to 7-2 before they face Dallas at Verizon Center. And yet…in classic Wizards’ follower fashion, I’m actually a little worried.

Yep, it’s good they’re winning. But, they should be winning given the quality of the opponents they’ve faced so far. No, this isn’t one of those “they would be X record if they’d faced teams A, B and C” critiques. I don’t believe a team (or its fans) should ever have to apologize for the schedule, which is something they don’t control.

What has me a little worried is how pedestrian the Wizards have looked so far this season. They’ve outscored their opponents by 1.57 points per game so far this season; the league has outscored their opponents by 1.99 points per game.

I’d be more willing to buy the injury excuse if they weren’t getting career-best play from Garrett Temple standing in for Bradley Beal and Martell Webster.

But, this is this “little worry” because we’re still in the annual performance of Small Sample Size Theater. A study by Kevin Pelton, then-writing for Basketball Prospectus, showed that team-level stats tend to stabilize around the 25th of the season. Other research has shown that per minute stats for individual players begin to have validity as quick as 150 minutes. More is better, though.

Still, the early indications are that, despite the good record early on, the Wizards are an average team again this season. They’ve been good defensively, but a bit below average on offense. The hope is that getting Beal and Webster will help bolster the team offensively when they can return from injury.

Here’s the first Player Production Average (PPA) update of 2014-15. 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 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 = average, higher is better and replacement level is 45.

PLAYER	GMS	MPG	PPA
John Wall	7	35.7	185
Marcin Gortat	7	32.7	181
Paul Pierce	7	28.0	140
Garrett Temple	7	33.7	121
Nene Hilario	6	29.2	108
Otto Porter	7	24.7	97
Andre Miller	7	12.9	72
Rasual Butler	3	14.3	60
Kris Humphries	6	9.8	46
Drew Gooden	6	19.5	42
Kevin Seraphin	6	13.8	38
DeJuan Blair	3	3.7	-41
Glen Rice	5	8.6	-120

Wall and Gortat should jump out immediately (they are at the top of the chart). Both guys have produced at an All-NBA level in the first seven games. This could be The Leap from Wall that fans have been waiting for. If he keeps it up. Gortat has actually performed at a 180ish PPA for a full season (2011-12).

Pierce has been everything Washington could have hoped he’d be. Over the summer, I went hunting through the stats to find players who’d be most likely to replace what Trevor Ariza had provided. The top name on the list: Paul Pierce. His offense could be more efficient, but he’s producing at about the level Ariza did last season — and his defense has been outstanding.

Nenê appears to have picked up more or less where he did last season, and that’s not such a great thing for the Wizards. He’s still a good defender, but his offensive efficiency seems to be departed.

It’s good to see Porter hovering around average. He’s been an asset off the bench, and seems to be figuring out the NBA game. Porter hasn’t been helped much by his oldster bench mates Miller and Gooden, who have been awful defensively since arriving in Washington.

And check out Porter look-alike Garrett Temple, who has so far played at the level of an almost-average NBA starter. Major kudos to Temple for all the work he’s done on his jumper. It shows in his form — especially in the way he sets his feet for takeoff, freezes the follow-through, and plants the landing.

I know folks are going to wonder about Kevin Seraphin, who rates below replacement level yet again. Seraphin is shooting 63% from the floor, and has had a couple nice games. His offensive efficiency is above average. And yet…he continues to be plagued by the same problems he’s had since his rookie year. Specifically, his rebounding is sub-par, he’s turnover prone, and he fouls too much.

Also worth noting are Kris Humprhies and DeJuan Blair, who were acquired in the offseason to provide frontcourt depth. So far, they’ve been behind Seraphin on the depth chart, which is astonishing. Humphries at least has some excuse — he missed three weeks of preseason with a hand injury. Blair has apparently been healthy, but can’t get on the floor despite dreadful play from Seraphin.

At some point, I gotta believe they’ll end the Seraphin experiment and give playing time to Humphries and/or Blair. Based on what they’ve done on the court so far this season, it’s fair to say that neither has made a case for playing ahead of Seraphin. At least not yet.

Projection: Wizards Will Win 45 and Return to the Playoffs

Improvement from the Washington Wizards youngsters, and an infusion of frontcourt depth will be offset by missed time due to injuries and declines from the team’s older players to keep the team in the middle of the NBA pack for another year. However, the team could be a dangerous playoffs matchup if they’re able to enter the postseason healthy.

Below, I’m offering up projections done a couple different ways. The first is built on the similarity scores I’ve posted after the past week. This approach finds players in NBA history with similar production at a similar age, and then looks at what they did in subsequent seasons. Those findings are then applied to the Wizards roster and combined with a playing time estimate for each player.

For this estimate (and the other one, which I’ll get to later in this post), I’ve used my overall metric Player Production Average (PPA), which is calibrated to explain individual player contributions to winning and losing. 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 court. In PPA, 100 = average, higher is better, and 45 = replacement level.

Statistical Doppelganger Projection

POS	PLAYER	MIN	LAST SEASON PPA	PROJECTED PPA	PROJECTED kWins
PG	John Wall	2812	139	156	9.0
C	Marcin Gortat	2464	154	132	6.7
SG	Bradley Beal	2325	96	112	6.1
SF	Paul Pierce	1800	139	108	4.0
SF	Otto Porter	1800	15	85	3.2
PF	Kris Humprhies	1608	132	133	4.4
F/C	DeJuan Blair	1450	97	97	2.9
PF	Nenê	1430	102	90	2.7
PG	Andre Miller	1165	86	65	1.6
G/F	Glen Rice Jr.	1029	20	78	1.2
F/C	Drew Gooden	1002	106	100	2.1
G/F	Martell Webster	1000	77	74	1.5
POS	TEAM	19885	107	110	45.4

MIN = projected TOTAL minutes for the upcoming season

Projected kWins = how many wins that player will contribute based on his projected PPA and projected total minutes.

Over the past few seasons, the Wizards’ front office has converted the team from being one of the league’s youngest to being one of the league’s oldest. Gortat, Nenê, Pierce, Gooden and Miller all figure to play prominent roles this season, and all are past 30. Well past 30 for Pierce and Miller.

Projections for Porter and Rice were difficult because they played so little last season. For both, I elected to throw out their rookie numbers and rely instead on projections based on the rookie seasons of the players they were most like from college. Using the rookie numbers would lower Porter’s projected PPA to 66 and Rice’s to 30. That would drop Washington’s projected win total 43.8.

Note that I didn’t include Kevin Seraphin, Garrett Temple or Rasual Butler in the above table. They’ll get some minutes along the way, but — barring several catastrophic injuries — none should see enough court time to have a major effect on the team’s fortunes. For those interested, this is what I project for the end-of-the-bench trio:

Garrett Temple: 33
Kevin Seraphin: 49
Rasual Butler: 55

I can hear the cockeyed optimists already: “Why do you just assume the old guys will get worse? What if they maintain for a year?” Quick answer (and one I’ve given before): athletes past 30 tend to two things — get hurt and get worse.

But, let’s say the “Ancients” are able to do this season what they did last year. In that event, Washington’s projected win total would climb to 48.5. Which would be hella fun.

On the other hand, there are scenarios where there are more injuries than expected, younger players don’t make anticipated improvements and/or older players decline more steeply. That gives a potential “bottom” of 40.7 wins.

Simple Rating System Projection

POS	PLAYER	MIN	LAST SEASON PPA	SRS PROJECTED PPA	PROJECTED kWins
PG	John Wall	2812	139	143	8.3
C	Marcin Gortat	2464	154	144	7.3
SG	Bradley Beal	2325	96	111	5.3
SF	Paul Pierce	1800	139	117	4.3
SF	Otto Porter	1800	15	63	2.3
PF	Kris Humphries	1608	132	133	4.4
F/C	DeJuan Blair	1450	97	135	4.0
PF	Nene Hilario	1430	102	102	3.0
PG	Andre Miller	1165	86	108	2.6
G/F	Glen Rice	1029	20	82	1.7
F/C	Drew Gooden	1002	106	118	2.4
G/F	Martell Webster	1000	77	102	2.1
G/F	Rasual Butler	0	63	81	0.0
C	Kevin Seraphin	0	35	53	0.0
G	Garrett Temple	0	24	54	0.0
POS	TEAM	19885	107	117	47.9

The guys over at Basketball-Reference have up Simple Rating System projected stats for everyone who played in the NBA last season. Go here for an explanation. They don’t estimate minutes, which I can understand because it’s frigging hard to do.

The SRS approach is more optimistic than the one I used — at least at the bottom line. SRS generally predicts less of a decline for older players, but also not as much improvement from the younger ones. The SRS approach would suggest the Wizards will win 48 games this season — with a low end prediction of 43 and a high of 52.

Here’s a table comparing results from the two approaches:

POS	PLAYER	DOPP PPA	SRS PPA	DOPP kWINS	SRS kWINS
PG	John Wall	156	143	9.0	8.3
C	Marcin Gortat	132	144	6.7	7.3
SG	Bradley Beal	112	111	6.1	5.3
SF	Paul Pierce	108	117	4.0	4.3
SF	Otto Porter	85	63	3.2	2.3
PF	Kris Humprhies	133	133	4.4	4.4
F/C	DeJuan Blair	97	135	2.9	4.0
PF	Nenê	90	102	2.7	3.0
PG	Andre Miller	65	108	1.6	2.6
G/F	Glen Rice Jr.	78	82	1.2	1.7
F/C	Drew Gooden	100	118	2.1	2.4
G/F	Martell Webster	74	102	1.5	2.1
G/F	Rasual Butler	55	81	0.0	0.0
C	Kevin Seraphin	49	53	0.0	0.0
G	Garrett Temple	33	54	0.0	0.0

DOPP PPA = projected PPA using the Statistical Doppelganger approach

SRS PPA = projected PPA using the Simple Rating System numbers published by Basketball-Reference

DOPP kWINS = projected individual wins contributed using the Statistical Doppelganger approach

SRS kWINS = projected individual wins contributed using the Simple Rating System numbers published by Basketball-Reference

Final Word

In the end, I’m using my own projection system. Last year, I projected the Wizards would win 43 — they won 44, albeit not exactly in ways that I expected. I’ve refined my projection system (I hope), although I’m hoping the team outperforms my prediction by a wide margin.

While still lacking an elite producer, the Wizards could be a tough out in the playoffs when rotations shorten and there’s more rest between games (especially in the first round). If they can get there healthy, of course.

I’m projecting the Wizards will win between 41 and 48 games this season. Final projection: 45 wins and the fifth seed in the Eastern Conference playoffs.

Wizards Doppelgangers: The Ancients

In the classic mode of a franchise finished with rebuilding, and ready to repeat their overwhelming success of the previous season, the Washington Wizards went out this offseason and got older. Yes, I’m sure they’d much prefer if we all thought of it as adding “veterans,” and that’s a fine way of looking at it, if you like.

Understand, I’m not against “veterans,” I’m just aware of the reality that athletes over 30 years old typically do two things: get hurt and get worse. Hopefully, Father Time will give the Wizards a reprieve until the summer of 2016 when Kevin Durant is a free agent.

It could happen.

Last week, I ran the Wizards young backcourt (John Wall and Bradley Beal) through my statistical doppelganger machine. Today, let’s look at the oldsters Washington has added in recent years: Nenê, Marcin Gortat, Paul Pierce, Andre Miller, Drew Gooden and Rasual Butler. (Please take a look back at that link above for notes about the method.)

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Nenê	PF	2013-14	31	WAS	100	102	176
Danny Manning	PF	1996-97	30	PHO	90	107	157
Clifford Robinson	PF	1997-98	31	PHO	90	131	143
Ruben Patterson	SF	2006-07	31	MIL	89	126	165
Mickey Johnson	PF	1983-84	31	GSW	88	83	145
Elton Brand	PF	2009-10	30	PHI	87	100	224
Christian Laettner	PF	1997-98	28	ATL	87	127	146
Jermaine O’Neal	C	2008-09	30	TOR/MIA	87	93	166
Matt Harpring	SF	2005-06	29	UTA	87	105	161
Frank Brickowski	C	1992-93	33	MIL	87	117	123
Antoine Carr	PF	1992-93	31	SAS	87	106	109

The good news is that these doppelgangers were pretty good players. Nenê had the second highest peak PPA behind Elton Brand’s 224. He also peaked about a year later than the average for this group. Frank Brickowski and Clifford Robinson each peaked past 30.

But, Nenê’s production has slipped the past couple years, as has his availability, and there isn’t much reason to think he’ll regain something close to that peak performance. His comps offer an ideal optimist vs. pessimist test: five of his ten most similar players performed better the following season, give performed worse.

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Marcin Gortat	C	2013-14	29	WAS	100	154	186
Bill Laimbeer	C	1986-87	29	DET	93	154	175
Mike Gminski	C	1989-90	30	PHI	90	129	170
Bill Laimbeer	C	1988-89	31	DET	90	144	175
Dave Robisch	C	1979-80	30	CLE	90	132	132
P.J. Brown	PF	1998-99	29	MIA	89	127	150
Bill Laimbeer	C	1985-86	28	DET	89	156	175
Billy Paultz	C	1977-78	29	SAS	89	164	164
Tom Gugliotta	PF	1999-00	30	PHO	89	147	176
Maurice Lucas	PF	1981-82	29	NYK	89	149	149
Luis Scola	PF	2008-09	28	HOU	88	143	143

Obviously, Gortat isn’t really an “ancient.” He’s just 30 years old, he’s played relatively few minutes for a player his age, and he’s a fitness fanatic. But, eight of the ten most similar seasons to the one Gortat posted last year were followed by a less productive season.

If I throw out the two least similar seasons from Laimbeer, each of the 10 seasons most similar to Gortat last season were followed by a season that was less productive. Bright side here: it’s not like these comps became catastrophic failures. In general, they remained productive…just not quite as good.

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Paul Pierce	SF	2013-14	36	BRK	100	131	173
Toni Kukoc	PF	2002-03	34	MIL	85	113	164
Vince Carter	SF	2012-13	36	DAL	84	107	200
Chris Mullin*	SF	1997-98	34	IND	84	156	182
Sam Perkins	PF	1996-97	35	SEA	84	119	147
Bob Lanier*	C	1983-84	35	MIL	83	152	138
Chris Mullin*	SF	1998-99	35	IND	83	168	182
Sam Perkins	PF	1994-95	33	SEA	83	132	147
Sam Perkins	PF	1995-96	34	SEA	82	114	147
Chucky Atkins	PG	2006-07	32	MEM	82	111	111
Terry Porter	PG	1998-99	35	MIA	82	114	211

Gotta say that Pierce’s set of doppelgangers may be the weirdest assemblage of players I’ve gotten from The Machine. I think the challenge here is that not very many players even last to age 36 (plus), so the pool is shallow. Note that Pierce’s most similar player has a Sim Score lower than the 10th most similar for Wall, Beal, Nenê and Gortat. In other words, the list above are kinda similar, but not super close.

Overall, this is a terrific group of players that tended to peak young (around age 25-26 — Pierce peaked at 24), but had long-lasting careers. As would be expected for a group of mid-30s athletes, most declined the following season. However, most remained decent players for another year or two.

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Andre Miller	SG	2013-14	37	TOT	100	89	172
Rod Strickland	PG	2003-04	37	ORL/TOR	90	81	176
Terry Porter	SF	2001-02	38	SAS	88	87	211
Mark Jackson	PG	2002-03	37	UTA	86	66	181
Don Buse	PG	1983-84	33	KCK	86	96	148
Toni Kukoc	SF	2004-05	36	MIL	85	84	164
Muggsy Bogues	PG	1998-99	34	GSW	85	111	153
Maurice Cheeks	PG	1992-93	36	NJN	85	89	180
Rod Strickland	PG	2002-03	36	MIN	85	95	176
Gary Grant	PG	1997-98	32	POR	84	108	115
Rickey Green	PG	1991-92	37	BOS	84	57	157

Miller’s comps are an interesting assemblage of good-to-great players. I was surprised to see Muggsy Bogues make the list, primarily because I’d forgotten the 5-3 Bogues played so many seasons. Just about everyone on this list had a good career, but…as should be expected for a group this old — all 10 either declined or were out of the league completely the following season.

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Drew Gooden	C	2013-14	32	WAS	100	106	169
Nazr Mohammed	C	2010-11	33	CHA/OKC	86	98	150
Chris Wilcox	PF	2010-11	28	DET	86	121	165
Antonio McDyess	PF	2006-07	32	DET	86	115	175
Joe Smith	PF	2005-06	30	MIL	85	89	143
Nazr Mohammed	C	2009-10	32	CHA	85	150	150
Antonio McDyess	PF	2005-06	31	DET	85	91	175
Jermaine O’Neal	C	2012-13	34	PHO	83	83	166
Chris Kaman	C	2012-13	30	DAL	83	101	130
Frank Brickowski	PF	1991-92	32	MIL	83	107	123
Chris Gatling	PF	1995-96	28	GSW	83	82	131

For Gooden, I wonder whether these comps are particularly meaningful given that he was signed late in the season and played in fairly few games. This group basically split between those who declined the following season and those who got better. The net effect is that the group average was “about the same.” So, it could be a case of lather-rinse-repeat with Gooden this season — albeit with more total minutes.

PLAYER	POS	SEASON	AGE	TEAM	SIM SCORE	PPA SEASON	PPA PEAK
Rasual Butler	SG	2013-14	34	IND	100	63	89
Steve Kerr	PG	1999-00	34	SAS	92	59	124
Jalen Rose	SF	2006-07	34	PHO	89	72	117
Matt Bullard	PF	1998-99	31	HOU	87	49	98
Jaren Jackson	SG	2000-01	33	SAS	87	44	90
Anthony Bowie	SG	1997-98	34	NYK	86	72	97
Eric Piatkowski	SG	2004-05	34	CHI	86	79	121
Rashard Lewis	PF	2012-13	33	MIA	85	60	165
Steve Kerr	PG	2001-02	36	POR	85	64	124
Eric Piatkowski	SF	2007-08	37	PHO	84	34	121
Eric Piatkowski	SG	2005-06	35	CHI	84	16	121

Last up for today: the 15th man, Rasual Butler. You’ll notice this list is heavy on Eric Piatkowski, which isn’t exactly a great thing. Piatkowski hung around into his late 30s for some reason I don’t remember. Perhaps he had a contract that was being passed around. Perhaps he’s a really nice guy. There wasn’t much reason to keep him because of his on-court performance.

Otherwise, it’s mostly swingmen who peaked at the level of an average starter (Rashard Lewis excepted) and then declined. In limited minutes, Butler will probably play a little above replacement level this season. I’d have preferred this roster spot went to someone younger and with potential to improve.

Tomorrow: the rest of the roster.

Wizards 2014 Playoffs Wrap-Up

NBA Washington Wizards vs Chicago Bulls Play-Offs Game 4 — Trevor Ariza dominated in the playoffs despite low-blow karate chop from Mike Dunleavy.

Just in time for the start of training camp, here’s a look back at the Wizards run in the playoffs this year. For those with short memories, Washington beat the Bulls in round one, and lost to the Pacers in round two. It was a good couple weeks for a franchise that’s been among the league’s worst the past several years.

I’ve finally gotten around to crunching the data to produce the Player Production Average (PPA) numbers. PPA is an overall rating metric I developed that credits players for things they do that help a team win, and debits them for things that don’t. It’s a per-minute stat that’s 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 = average, higher is better, and 45 = replacement level.

Like any stat extracted from a small sample size, there’s a grain of salt factor. For example, Bradley Beal led the team with 458 playoff minutes — the cut when I look at regular season numbers is usually 500 minutes. Only 21 players reached 500 or more playoff minutes this year. That said, here are the numbers:

PLAYER	GMS	MPG	RS PPA	PS PPA
Trevor Ariza	11	37.0	145	193
Marcin Gortat	11	34.7	154	148
Bradley Beal	11	41.6	96	139
John Wall	11	38.2	139	82
Trevor Booker	9	16.2	123	75
Nene Hilario	10	32.5	102	49
Drew Gooden	10	14.6	106	37
Martell Webster	11	17.7	77	35
Andre Miller	11	9.8	86	12
Al Harrington	7	8.4	24	-22
Garrett Temple	10	.9	24	-33
Otto Porter	3	2.0	15	-49
Kevin Seraphin	4	1.5	35	-274

RS PPA = regular season

PS PPA = post-season

The numbers reflect Ariza’s tremendous playoffs performance. A 193 in the regular season would be worthy of All-NBA selection in most years. Among playoff performers with at least 100 total minutes, it ranked third overall behind Lebron James (263) and Chris Paul (211).

Gortat’s production improved as the playoffs went on. His first round PPA was a shade below average, but his play against Indy in round two pulled his full playoffs rating into the vicinity of his regular season performance.

The team’s only other above-average playoffs producer was Beal, who was terrific in round one (152) and solid in round two. A promising post-season debut for a talented kid who will still be among the league’s youngest players when he starts his third season in a few weeks.

The post-season wasn’t so kind to Beal’s backcourt partner, John Wall. In the first round, Wall’s overall production wasn’t overwhelming, but he thoroughly outplayed Chicago’s guards. Indiana did a better job of forcing him out of comfortable plays, and Wall struggled.

Now-departed Trevor Booker was solid in the first round, but played little in the second round. Friend of the blog Ben Becker wondered if Washington might have won against the Pacers if they’d played Booker instead of Gooden and/or Harrington. And, that’s definitely possible. The games were close and hard-fought, and the Wizards got next to nothing from Gooden and less than nothing from Harrington. Booker was fifth on the team in per minute production during the post-season, but 10th in round two minutes.

Against the Pacers, the Wizards got good production from Gortat, and little else from the front-court. Using the trio of Nenê, Gooden and Harrington with so little court time for Booker may well have cost Washington a trip to the Eastern Conference Finals.

Similarity scores coming soon.

That Path to the Eastern Conference Finals

In my last post, I alluded to a kind of parting of the seas for the Wizards in the Eastern Conference playoffs. The reasoning is pretty simple: the Wizards should be considered strong favorites over either the Pacers or the Hawks. That’s right, either.

If this was a “normal” NBA season, Washington would be a heavy underdog to the top seeded Pacers. But, if this was a “normal” season, the Wizards wouldn’t have been the fifth seed with 44 wins, Atlanta wouldn’t have been in the playoffs with a sub-.500 record, and Indiana wouldn’t have disintegrated over the last two months of the season (and wouldn’t have had to fight and claw to get to a seventh game against such a pedestrian opponent).

This is an abnormal season, though, and the weak Eastern Conference coupled with the stumble-bum Pacers at the top have given the Wizards their best chance of reaching the NBA’s final four since…1979.

That the Wizards would be favored vs. Atlanta is unsurprising. The Hawks weren’t much good during the regular season. They struggled after center Al Horford tore a pectoral muscle (again), and limped into the playoffs. The Pacers need a bit more explanation — which I provided nearly a month ago when I wondered whether Washington should tank for seventh so they could face Indiana in the first round.

If you want more detail, please click and read on that link. The upshot is this: since the All-Star break, the Pacers have been a very different team. They’ve actually had a negative scoring differential, which is something I don’t think I’ve ever seen for an extended stretch from a highly seeded team. Indeed, since the All-Star break, the Pacers have had the scoring differential of a 34-win team (over an 82-game schedule), just one game better than the eighth seed Hawks. Over that same time frame, Washington’s differential was that of a 52-win team.

Don’t go getting too excited about that differential: the Wizards played an incredibly easy schedule after the All-Star break. Still, it’s illustrative of the significant changes in the Eastern Conference. Since that All-Star break, the Wizards had the third best efficiency differential of the East’s playoff teams. The Pacers had the second worst.

So, what are the odds? Applying a combination of full season numbers, post All-Star break numbers, and playoff performance, I estimate Washington having the following chances of beating these possible Eastern Conference playoff opponents:

Indiana — 64%
Miami — 27%
Toronto — 50%
Chicago — 100%
Washington — 0%
Brooklyn — 67%
Charlotte — eliminated
Atlanta — 81%

The odds will fluctuate a bit after that seventh game, but the fundamental point remains: Washington is in a terrific position to reach the Eastern Conference Finals. Getting farther is a dicier proposition, especially if they end up facing Miami.

Round One Wrap-Up

The 4-1 first round win over the Chicago Bulls is done, but there are still a few points worth making. While there’s been some chatter about how flawed the Bulls are (including by me), Chicago actually looked pretty strong entering the post-season. It’s trademark defense was excellent down the stretch, and its offense was about average. The Eastern Conference team with the best efficiency differential after the All-Star break? The Bulls.

Washington’s first round victory wasn’t a case of getting a crappy opponent, it was a case of the Wizards outplaying a decent team. Give credit where it’s due: a big reason the Bulls looked so bad is that the Wizards were on their game.

Finally, here’s a look at the Player Production Averages (PPA) for the series. PPA is an overall rating metric I developed that credits players for things they do that help a team win, and debits them for things that don’t. It’s a per-minute stat that’s 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 = average, higher is better, and 45 = replacement level. (Don’t pay much attention to the extreme scores at the bottom of the table — tiny sample sizes don’t mean much of anything.)

TEAM	Player	GMS	MPG	PPA
CHI	Taj Gibson	5	30.8	210
WAS	Trevor Ariza	5	39.0	193
WAS	Bradley Beal	5	41.0	152
CHI	Mike Dunleavy	5	32.6	139
WAS	Trevor Booker	5	24.2	134
WAS	John Wall	5	38.6	128
WAS	Martell Webster	5	18.0	113
WAS	Nene Hilario	4	35.8	107
CHI	Joakim Noah	5	42.0	97
WAS	Marcin Gortat	5	36.0	97
CHI	Jimmy Butler	5	43.6	88
CHI	Carlos Boozer	5	24.2	58
CHI	Kirk Hinrich	5	33.4	22
WAS	Andre Miller	5	10.4	10
CHI	D.J. Augustin	5	28.2	5
WAS	Kevin Seraphin	1	1.0	0
WAS	Drew Gooden	4	9.0	-35
CHI	Tony Snell	5	9.2	-47
CHI	Nazr Mohammed	2	2.5	-189
WAS	Al Harrington	3	2.3	-364
WAS	Garrett Temple	4	0.3	-1889

Interesting that the most productive player in the series was Taj Gibson, who played just 30.8 minutes per game. Meanwhile, Chicago started Carlos Boozer and played him 24.2 minutes per game despite production that wasn’t much better than replacement level.

Also interesting to me is how the production numbers differ from popular perception. One “experts” poll named Nenê as Washington’s first round “MVP.” When it comes down to doing the things that cause teams to win, he rated sixth best for the Wizards — behind Ariza, Beal, Booker, Wall and Webster.

In total, eight players rated “above average” in this series. Six of those players wore Wizards uniforms. While Gibson was good throughout the series, the only other Bull above average was Dunleavy, and most of his production came in a single game.

Path Opening for Wizards to Make Deep Playoff Run

As enjoyable as the Wizards-Bulls series has been so far (for Wizards fans, at least), there’s a tangible feeling that Washington has drawn to an inside straight. (That’s a fancy poker way of saying they’ve gotten lucky.) Yes, I’m aware the Wizards have looked good in the playoffs — teams look good when they win.

I’m also aware that the “experts” at ESPN and TNT (and elsewhere) have declared this Washington as a near-perfect squad with “no weaknesses.” But, much (most?) of the commentary has been a veritable catalog of cognitive biases. Over the course of six months and 82 games, the Wizards were average. A perfectly average team playing against their schedule would be expected to win 43-44 games. They won 44. That’s not a team without weakness — it’s an average team.

In the playoffs, they’re beating the Bulls — a slightly better than average team overall this season, but also a team with a major flaw: one of the league’s worst offenses.

Meanwhile, the Indiana Pacers have continued their post-All-Star break swoon and are struggling to keep pace with the sub.500 Atlanta Hawks. The Wizards should be favored against either team in a second round matchup. Which would put Washington into the conference finals against (probably) the Miami Heat.

It’s the 2013-14 NBA Eastern Conference, where being meh is good enough because nearly everyone else is meh-er.

In many ways, the Wizards this season are a fascinating experiment in perception. On one hand, there’s a solidly average regular season and no top-end production. On the other hand, there’s a likely first-round win against the Bulls and a good chance they make a run to the Eastern Conference Finals.

Folks in the “they’re really not that good” camp can point to the historically weak conference and Indiana’s meltdown, which carved out the path. But…it’s not Washington’s fault their opponents suck. The only thing they can do is play their game and beat whoever’s put in front of them. Being average when others are bad might be a functional equivalent of being good.

For me, it’s clear that the Wizards are an average team that’s drawn a flawed opponent in the first round and has a very good chance of getting a flawed opponent in the second round as well. That said, being average this season and next is probably good enough to hang around in the playoffs for the next year or two before Washington’s older players decline and other teams rebuild sufficiently. Washington won’t be a realistic title contender (even if they make the Eastern Conference Finals), but it’ll be fun to see them playing in May.

In other words, have fun, but don’t go overboard revising conclusions drawn from six months and 82 games worth of data over a few weeks against a couple opponents. What would be cause for some revision? Beating the Heat and making it to the Finals.

At any rate, here are a couple looks at the Wizards-Bulls first round series through the first four games. First up, here’s Player Production Average. PPA is an overall evaluation stat I developed. It’s designed to credit players for things they do that help a team win and “debit” them for things that don’t — each in proper proportion. It’s a pace-adjusted, per minute stat that 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 = average, higher is better and 45 = replacement level.)

Player	TEAM	G	MPG	PPA
Taj Gibson	CHI	4	32.3	215
Trevor Ariza	WAS	4	39.5	212
Mike Dunleavy	CHI	4	32.3	168
Bradley Beal	WAS	4	40.8	161
Martell Webster	WAS	4	18.5	135
John Wall	WAS	4	38.5	121
Trevor Booker	WAS	4	24.5	99
Marcin Gortat	WAS	4	36.8	86
Joakim Noah	CHI	4	41.8	85
Carlos Boozer	CHI	4	23.3	76
Nene Hilario	WAS	3	34.7	74
Jimmy Butler	CHI	4	43.8	70
Andre Miller	WAS	4	10.8	63
D.J. Augustin	CHI	4	29.5	43
Kirk Hinrich	CHI	4	32.0	0
Kevin Seraphin	WAS	1	1.0	0
Drew Gooden	WAS	4	9.0	-33
Tony Snell	CHI	4	10.3	-59
Nazr Mohammed	CHI	2	2.5	-180
Al Harrington	WAS	3	2.3	-346
Garrett Temple	WAS	3	0.3	-1408

The top two producers have been Taj Gibson and Trevor Ariza. Mike Dunleavy’s high rating is largely a product of a single terrific game in a small sample size. Bradley Beal is having a good series. John Wall and Martell Webster have also been solid.

Folks have gotten excited about Nenê’s play, but the big man hasn’t really played all that well outside of game one.

Want to see why Chicago is struggling? Their only above average performers in these four games have been Gibson and Dunleavy. Noah, Boozer and Butler have been subpar. Augustin and Hinrich have been wretched — especially Hinrich who has given the Bulls 32.0 minutes per game of nothing.

Last, here’s a look at estimated wins added (call them eWins) for the series:

Player	TEAM	G	MPG	eWINS
Trevor Ariza	WAS	4	39.5	0.68
Taj Gibson	CHI	4	32.3	0.56
Bradley Beal	WAS	4	40.8	0.53
Mike Dunleavy	CHI	4	32.3	0.44
John Wall	WAS	4	38.5	0.38
Joakim Noah	CHI	4	41.8	0.29
Marcin Gortat	WAS	4	36.8	0.26
Jimmy Butler	CHI	4	43.8	0.25
Martell Webster	WAS	4	18.5	0.20
Trevor Booker	WAS	4	24.5	0.20
Nene Hilario	WAS	3	34.7	0.16
Carlos Boozer	CHI	4	23.3	0.14
D.J. Augustin	CHI	4	29.5	0.10
Andre Miller	WAS	4	10.8	0.05
Kirk Hinrich	CHI	4	32.0	0.00
Kevin Seraphin	WAS	1	1.0	0.00
Nazr Mohammed	CHI	2	2.5	-0.02
Drew Gooden	WAS	4	9.0	-0.02
Garrett Temple	WAS	3	0.3	-0.03
Tony Snell	CHI	4	10.3	-0.05
Al Harrington	WAS	3	2.3	-0.05

This eWins approach uses total production to estimate each player’s individual share of team wins. It works reasonably well over the full season. For the series, it has the Wizards with a 2.4 to 1.7 eWins lead, which is reflective of a couple very close games (Washington’s overtime win in game two, and Chicago’s narrow game three victory.)

Wizards Slouching Toward the Playoffs

The numbers in the table below are this week’s Player Production Average (PPA) update. PPA is a metric I developed that credits players for things that contribute to winning and debits them for things that don’t — each in proper proportion. PPA is pace adjusted, accounts for defense and includes a degree of difficulty factor. In PPA, 100 = average, higher is better and 45 = replacement level. PPA is a per minute stat.

PLAYER	GMS	MPG	LW	PPA
Marcin Gortat	77	32.9	150	153
Trevor Ariza	73	35.7	151	143
John Wall	78	36.6	141	138
Trevor Booker	68	21.4	115	119
Drew Gooden	20	18.6	127	114
Nene Hilario	50	29.9	101	100
Andre Miller	24	14.4	104	91
Bradley Beal	69	34.7	89	89
Martell Webster	74	28.1	82	80
Jan Vesely	33	14.2	68	68
Kevin Seraphin	50	11.4	35	37
Chris Singleton	24	10.4	34	32
Garrett Temple	71	8.9	25	25
Glen Rice	11	9.9	20	20
Otto Porter	33	8.2	13	19
Al Harrington	30	14.9	13	8
Eric Maynor	23	9.3	8	8

Rough week for the Wizards, which is reflected in the individual numbers. On the positive side were Marcin Gorat, (who continues to have a good season), Trevor Booker (who many fans want removed from the rotation), and Otto Porter (who performed better, but still rates well below replacement level).

Even with a bad week, Trevor Ariza is having a career season. He gets a bit of a pass for the last few games — he’s been beset with the flu, and really shouldn’t have even been on the floor.

John Wall’s production fell for a third straight week. It’s been fashionable to celebrate Wall’s improvement and his ascendancy to All-Star status, but it’s worth noting that his 138 PPA this season is virtually identical to the 139 he posted last year.

Here’s a visualization of each player’s PPA through the season. Since this is basically a weekly rolling season average, the larger fluctuations at the beginning followed by a flatter line toward the end is to be expected. Note the fairly steady climb of Gortat’s PPA — he’s been playing better as the season has progressed. The production slip from Wall the past three weeks is also apparent.

Check out the steady production from Booker. Webster’s season-long decline is apparent in his graph.

Drew Gooden’s production has fallen steeply after a hot start. He may not be the godsend Wizards fans had hoped for. Andre Miller’s play has been up and down, but at least sorta trending up.

Wizards Weekly: Playoffs Clinched

Since the Wizards cemented a spot in this year’s playoffs, I’m going to focus more on the stellar play of Trevor Ariza and Marcin Gortat, and sorta gloss over the things that bug me a bit in this week’s numbers.

Some positives:

Al Harrington had a good enough week that he no longer rates as the league’s least productive power forward. That honor belongs to Brandon Davies.
Marcin Gortat’s PPA rose to 150 — the highest its been since December 11.
I missed it last week, but the Wizards have no one with a negative PPA. The team’s least productive player is Eric Maynor, but he’s not in the NBA after being released by Philadelphia.
Otto Porter scored nine points in five minutes, and added 10 points to his PPA.

Below is this week’s Player Production Average (PPA) update. PPA is a metric I developed that credits players for things that contribute to winning and debits them for things that don’t — each in proper proportion. PPA is pace adjusted, accounts for defense and includes a degree of difficulty factor. In PPA, 100 = average, higher is better and 45 = replacement level. PPA is a per minute stat.

PLAYER	GMS	MPG	LW	PPA
Trevor Ariza	70	35.7	151	151
Marcin Gortat	74	32.7	145	150
John Wall	75	36.6	144	141
Drew Gooden	17	18.9	148	127
Trevor Booker	65	21.0	116	115
Andre Miller	21	14.8	81	104
Nene Hilario	49	30.1	101	101
Bradley Beal	66	34.5	90	89
Martell Webster	71	28.2	81	82
Jan Vesely	33	14.2	68	68
Kevin Seraphin	49	11.5	36	35
Chris Singleton	23	10.7	40	34
Garrett Temple	69	9.1	22	25
Glen Rice	11	9.9	20	20
Al Harrington	28	15.5	1	13
Otto Porter	32	8.2	3	13
Eric Maynor	23	9.3	8	8

Okay, I can’t help myself — now for the stuff that worries me:

Wall’s PPA is down to 141. That’s a good score, but his PPA last season was 139. And his offensive efficiency has slipped back below average.
Gooden’s PPA dropped sharply this week. His efficiency numbers are still insanely good — heck, all his numbers are, except for defense. There are way too many defensive breakdowns when he’s on the floor, and he continues to lose points in the defense portion of PPA.
Beal and Webster both rate solidly below average. This isn’t a surprise — Beal’s still a kid trying to figure out his spot in the league, and Webster is basically regressing to his mean this season. But, it does mean the Wizards aren’t getting a ton of production from their SG — and both rate as below average defenders.

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