2011 WNBA Regularized Adjusted Plus-Minus: Who Were The Top Offensive & Defensive Performers?
Yesterday I took a look at plus/minus ratings with a focus on four-year Regularized Adjusted Plus Minus as a metric that measures player impact (click here to revisit that).
Today, I continue looking at RAPM, but narrow the scope to a one-year perspective to get a sense of how RAPM matches conventional wisdom about the top performers of the 2011 WNBA season. Before jumping in to these, it's worth noting Dan Rosenbaum's point from 2005: he suggested then that adjust plus/minus required half a NBA season's worth of games (41 games at 48 minutes each) to produce stable results; a WNBA season does not meet that standard at 34 40-minute games. That's why I began with the four-year ratings yesterday.
Nevertheless, Jeremias Engelmann put together the one-year results as well (click here) and they offer some interesting food for thought as we think about how our favorite teams can improve during the long WNBA off-season.
Just as we did yesterday, it sometimes helps to compare a new metric to existing metrics to help establish a common frame of reference for how exactly it's challenging the status quo. So in addition to the top RAPM ratings, I'm providing three other metrics that we might be more familiar with:
- Net plus/minus: This is an obvious one as those "raw" numbers ultimately underpin RAPM. The differences between the one-year data RAPM data and NPM are very interesting although it's worth noting that they're not the same because they're not supposed to be - that's the purpose of the adjustment. Net plus/minus, its strengths and limitations were described in yesterday's post. But for our purposes here, we'll be comparing only the on court data from NPM to the RAPM data for offense and defense and comparing that to league average. So the rule of thumb is that if, for example, there's a player whose offensive "on court" rating is above league average and in above average minutes will probably have a good offensive RAPM. It's similar for defense, with the normal contextual caveats of course. For your reference, the league average for both team and opponent on court data is just under 77 points per 40 minutes, which makes sense given that the average points per game scored in 2011 was 77.3.
- PER: This is John Hollinger's Player Efficiency Rating and James Bowman described that previously here. It arguably correlates best - but still not well - with RAPM.
- MEV: This is the David Sparks Model Estimated Value metric*, which I like because of how it fits into a variety of team and individual stats in the Sparks constellation of metrics. It's not widely used ... at all ... but I like what it enables for analysis. Click here for more on that metric.
So with that, here are the top 15 players in 2011 by RAPM are as follows, along with other metrics used in the WNBA:
| Name | Offense per 100 | Defense per 100 | Off+Def per 200 | Net Plus/Minus |
PER | MEV |
| 1. Angel McCoughtry | 2.6 | 0.8 | 3.5 | +8.6 | 26.05 | 16.37 |
| 2. Taj McWilliams-Franklin | 2.1 | 1.2 | 3.4 | +9.0 | 14.38 | 10.78 |
| 3. Maya Moore | 1.6 | 1.5 | 3 | +12.1 | 20.35 | 13.42 |
| 3. Tamika Catchings | 1.5 | 1.5 | 3 | +12.7 | 24.65 | 18.22 |
| 5. Rebekkah Brunson | 1.7 | 1.2 | 2.9 | +6.7 | 18.54 | 12.35 |
| 6. Armintie Price | 1.6 | 1.1 | 2.8 | +10.6 | 17.12 | 10.86 |
| 6. Sancho Lyttle | 1.5 | 1.2 | 2.8 | +6.5 | 17.65 | 12 |
| 8. Lindsay Whalen | 2.2 | 0.2 | 2.4 | +3.5 | 23.05 | 17.34 |
| 9. Penny Taylor | 1.8 | 0.5 | 2.3 | +10.8 | 25.41 | 19.85 |
| 9. Sophia Young | -0.1 | 2.4 | 2.3 | + 12.2 |
16.71 | 12.77, |
| 11. Seimone Augustus | 2 | 0 | 2 | - 0.1 | 21.62 | 14.07 |
| 12. Camille Little | -0.3 | 2.2 | 1.9 | +10.1 | 13.6 | 8.71 |
| 13. Lindsey Harding | 1.4 | 0.4 | 1.8 | + 6.6 | 13.43 | 12.04 |
| 13. Plenette Pierson | 1 | 0.8 | 1.8 | + 4.9 |
18.21 | 11.45 |
| 15. Kalana Greene | 0.1 | 1.3 | 1.4 | - 3.7 |
11.06 | 8.85 |
| 15. Asjha Jones | 0 | 1.4 | 1.4 | 7.5 | 15.25 | 10.47 |
Top 15 players in the 2011 WNBA regular season by RAPM in comparison to net plus/minus, MEV & PER.
What might immediately stand out here looking at this as a whole is that 8 of this top 15 are also among the top 15 in net plus/minus.
Top defensive players by RAPM in 2011
Looking at those 7 players who "fell off" after the adjustment, so to speak, one thing that stands out is that all of them might have benefited from "the backup effect" - most were high usage players that were significantly better than the player that replaced them. But before we dig too deeply into that matter, let's look at the top players by defense and offense.
| Name | Offense per 100 | Defense per 100 | Off+Def per 200 | On Court Opp Pts/40 |
PER | MEV |
| 1. Sophia Young | -0.1 | 2.4 | 2.3 | 72.0 | 16.71 | 12.77 |
| 2. Camille Little | -0.3 | 2.2 | 1.9 | 67.3 | 13.6 | 8.71 |
| 3. Maya Moore | 1.6 | 1.5 | 3 | 72.6 | 20.35 | 13.42 |
| 3. Tamika Catchings | 1.5 | 1.5 | 3 | 72.6 | 24.65 | 18.22 |
| 5. Asjha Jones | 0 | 1.4 | 1.4 | 75 | 15.25 | 10.47 |
| 6. Kalana Greene | 0.1 | 1.3 | 1.4 | 77.1 | 11.06 | 8.85 |
| 7. Taj McWilliams-Franklin | 2.1 | 1.2 | 3.4 | 72.7 | 14.38 | 10.78 |
| 7. Rebekkah Brunson | 1.7 | 1.2 | 2.9 | 73.2 | 18.54 | 12.35 |
| 7. Sancho Lyttle | 1.5 | 1.2 | 2.8 | 80 | 17.65 | 12 |
| 10. Armintie Price | 1.6 | 1.1 | 2.8 | 76.3 | 17.12 | 10.86 |
| 10. Essence Carson | 0 | 1.1 | 1.2 | 73.6 | 19.05 | 9.24 |
| 10. Erin Phillips | -0.1 | 1.1 | 1 | 87.1 | 16.91 | 9.11 |
| 10. Courtney Vandersloot | -0.1 | 1.1 | 1 | 72.8 | 7.99 | 7 |
| 10. Jayne Appel | -0.7 | 1.1 | 0.4 | 70.7 | 12.75 | 5.44 |
| 10. Tanisha Wright | -1 | 1.1 | 0.1 | 69.4 | 13.52 | 9.69 |
Top 15 defensive players by RAPM for the 2011 WNBA season.
So 11 of these players and their defensive abilities were discussed by Richard Cohen in our winding exchange about All-Defensive teams previously (click here to revisit that). As an example of the on court rating rule of thumb, Camille Little has a good defensive RAPM and opponents scored only 67.3 points/40 when she was on the court, which is well below league average in a lot of minutes.
By that on court raing logic, Erin Phillips really jumps out on this list. But rather than go over the players we "left out", I'd actually rather return to the discussion of Sophia Young, a player who has solid defensive statistics and made the top 15 RAPM list overall almost entirely due to her defensive ability.
What Young does well defensively is get steals, with a 3.25% steal percentage - her athleticism certainly makes her disruptive and she has great awareness, instincts, and sense of space defensively. There's no doubt that she's a smart defender. But what still makes her inclusion on a list like this interesting is that she's also an undersized defender, which allows bigger players to both rebound and score over her around the basket.
Again, as Clay Kallam already commented on my All-Defensive team post, defense is "not me vs. you, it’s us vs. them." So while any quantitative defensive rating is going to be incomplete, a lot of these are justifiable by observation; a few might require a bit of convincing.
In any case, not one of the 7 top net plus/minus players who "fell off" with adjustment and regularizing were among the top 30 defensive players by RAPM, with Becky Hammon being the highest rated (#32, 0.6).
But interestingly, for all the praise McCoughtry gets for her defense, it was her offense this season that carried her to the top of the RAPM ratings.
Top offensive players by RAPM
Defensively, McCoughtry is #22 by RAPM. Offensively, she tops the list.
| Name | Offense per 100 | Defense per 100 | Off+Def per 200 | On court team pts/40 |
PER | MEV |
| 1. Angel McCoughtry | 2.6 | 0.8 | 3.5 | 85.1 | 26.05 | 16.37 |
| 2. Lindsay Whalen | 2.2 | 0.2 | 2.4 | 83.5 | 23.05 | 17.34 |
| 3. Taj McWilliams-Franklin | 2.1 | 1.2 | 3.4 | 83.2 | 14.38 | 10.78 |
| 4. Seimone Augustus | 2 | 0 | 2 | 82.9 | 21.62 | 14.07 |
| 5. Penny Taylor | 1.8 | 0.5 | 2.3 | 90.5 | 25.41 | 19.85 |
| 6. Rebekkah Brunson | 1.7 | 1.2 | 2.9 | 83.2 | 18.54 | 12.35 |
| 7. Maya Moore | 1.6 | 1.5 | 3 | 84.1 | 20.35 | 13.42 |
| 7. Armintie Price | 1.6 | 1.1 | 2.8 | 82.4 | 17.12 | 10.86 |
| 7. Diana Taurasi | 1.6 | -0.7 | 1 | 91.3 | 23.75 | 16.92 |
| 7. Candice Dupree | 1.6 | -0.7 | 0.9 | 90.1 | 19.65 | 15.75 |
| 11. Tamika Catchings | 1.5 | 1.5 | 3 | 79.6 | 24.65 | 18.22 |
| 11. Sancho Lyttle | 1.5 | 1.2 | 2.8 | 85.5 | 17.65 | 12 |
| 13. Lindsey Harding | 1.4 | 0.4 | 1.8 | 81.5 | 13.43 | 12.04 |
| 14. Plenette Pierson | 1 | 0.8 | 1.8 | 78.1 | 18.21 | 11.45 |
| 14. Alison Bales | 1 | 0.2 | 1.2 | 79.7 | 15 | 8.54 |
Top 15 offensive players in the 2011 WNBA season by RAPM.
First, it's just sort of interesting to note that this list apparently had an unspoken "Conference Finals only" rule attached to it, with only Plenette Pierson crashing the party. That's not entirely arbitrary - the majority of this list of top offensive players played for four of the top six offensive teams in the league by points per possession. With the exception of the Catchings, they were also all on teams that played at a fast pace.
Continuing the discussion about Seimone Augustus from yesterday, she might not have a great net plus/minus (-0.1) but her team was above on offense when she was playing and she obviously played a lot of minutes.
But what remains interesting is that there were All-Star players among the top 15 in net plus/minus who weren't in the top 30 by RAPM offensively or defensively: Becky Hammon (#39 offensively), Danielle Adams (#40 offensively), Crystal Langhorne (#48 offensively), Sue Bird (#68 offensively). Trying to figure out what that set of otherwise very good players have in common - and yet don't have in common with some of the others - is difficult.
Yet digging through some stats revealed something potentially interesting about this subset of players that ranked high in net plus/minus but lower than one might expect in RAPM offensive ratings.
All but two players in the top 30 RAPM offensive ratings were in the 63rd percentile or above in something called "floor percentage", which is described here as "the fraction of a team’s or individual possessions on which there is a scoring possession" or here as "the probability that his team scores at least 1 point" when a player uses a possession. When you think about what RAPM is trying to do - measure a player's impact on the score - it makes a lot of sense that floor percentage would matter to the offensive portion of the rating.
But what separates Harding, who is at exactly that 63rd percentile in floor percentage, from Bird, who's in the 60th percentile? Usage rate. And in fact, the effect is even larger for post players - Tina Charles and Sylvia Fowles have two of the highest floor percentages in the league and Langhorne isn't far behind at 6th. All three of them are relatively high usage (24% +) post players; low usage post players not in the top 30 (or so) have two-point percentages under 50% and high turnover ratios almost as a rule. In other words, RAPM offensive ratings place a high value on players that maximize touches by producing points for their team without the expense of wasting possessions in the process.
Conceptually, that makes a lot of sense, but begins to break down outside that top 30 and there's a lot to be said about that - and floor percentage in particular* - as it relates to what players contribute and whether we find RAPM useful.
Notes:
* In putting MEV side-by-side with PER, it's worth noting that the league-high in 2011 was 20.20 (Sylvia Fowles) and the league average was 6.88 (somewhere between Marissa Coleman and Kalana Greene), with a large "middle class" and small elite. So not only does the discrepancy between those numbers not mean much, but every player listed above is "above average" by MEV; no so for PER.
** Five of the top 30 floor percentages in the league belong to the Lynx starters (the same five you see above). That's more than any team in 2011. The Lynx were also the highest synergy team in the league. To me, that's not a coincidence - again, it's not just that they were talented, but they had a mix of players that worked extremely well together to get shots.
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2011 WNBA Regularized
I’m as big of a math geek as anybody – but I’m a little dubious. Let me also say that any stat that shows what a great player Arminti Price is plays well with me. But, having said that, I’m wondering if the RAPM takes into account this sort of thing – with the Dream they played terrible the first 12 games. Somewhere around then the following sequnce of events took place – Arminti moved into the starting lineup, Izi and her terrible problems shooting went to the bench. Sancho returned and started gettig into the flow. Angel got over her early season knee problem and Lindsey Harding started to click. So all these things happened around the same time roughly, creating a correlation of positive events that might conspire to make some of the numbers for Dream players a bit off. While everyone seems to think Arminiti is a great defensive player, her offense amounts to playing really smart – taking only her shot (mostly layups and putbacks – if only Josh Smith would play like that….) but she’s not a good shooter. So her high ranking on offense seems questionable. So I wonder if the RAPM really does what its supposed to do – which was to washout the effect of those sorts of things – esp. 50% shooting for AP, replacing Izi’s dismal numbers.
The discussion provided in the other article doesn’t help much – it would be better if the actual formula was presented since the discussion of regressions leaves a lot to the imagination.
Anyway, still really interesting stuff, and hope AP’s agent gets to see it.
Great point and thanks for your honesty about the other piece
For the actual math, I recommend the Eli Witus article referred to in the other article (there is no neat way to present that, which is why I linked to it and moved on):
http://www.countthebasket.com/blog/2008/06/01/calculating-adjusted-plus-minus/
This link to a 2004 Dan Rosenbaum article details which specific stats most influence adjusted plus/minus.
http://www.82games.com/comm30.htm
But you’re right to be dubious of Price. Price is an example of three possible things:
1. As stated above, a one-year sample for WAPM is not enough. That’s part of why 10 players from the WNBA Finals ended up among the top 15 offensive players – those teams were strong offensively and all of the players who played got more credit than they might actually be due.
2. Head over to Rosenbaum’s article and check out the two stats that most heavily influence RAPM: steals are a heavy #2, points per 40 is #5, free throw attempts per 40 are #5. Price does well in all of those factors and is top 15 in the league in both of those offensive factors.
3. My observation above about low usage players: Price has a top 30 floor% (58.89%) and a low usage percentage (16.20%) and a reasonable true shooting percentage (55.40%). In other words, when Price is on the court, she creates points without the expense of throwing away many possessions.
In watching Price – I rewatched Game 3 after getting these numbers – this is what stands out from your comment above: “her offense amounts to playing really smart”. As much as one might assume her to be a liability on offense, she does absolutely nothing to hurt it. And her passing has improved dramatically this year, which only adds to that assessment.
Again – sample size is a problem, Dream players definitely benefited from that, so these numbers should be viewed with caution, but in terms of what Price adds I would say this: within Atl’s system – that does not shoot threes and thus relies heavily on having a set of players that can get to the basket – how does she hurt the team? I think that more than anything else in this 1-year analysis conceptually is what adds to Price’s value.
Twitter: @NateP_SBN.
At least some of Price's high one-year RAMP has to do with her improvement, no?
Many of the other players who participated in this year’s Finals — McCoughtry, McWilliams-Franklin, Brunson, Augustus, Lyttle, Bales, Harding and Whalen, to name them — are high on the four-year list as well.
I'd say so.
She was an objectively much better player this year, even if we wouldn’t normally place her this high (similar to your point about Toliver).
Twitter: @NateP_SBN.
2011 WNBA Regularized
Thanks for the link. I’ll take a look. I do think that part of AP’s score might reflect the fact that Atl’s offense keys off the defense – when the other side is missing or getting the ball stolen – its often AP leading the break, scoring and even getting to the line. She can outrun other players while she’s dribbling. Look at the LA game and you will see what I mean. So she’s not a liability on offense, but her score makes her look like one of the top ten players in the WNBA offensively (assuming I understand that right) which even I thought was a bit more than I expected. Still she shot over 50% this year and gets to the line a lot. (Wish she could shoot free throws better.) She scored 11% more than Izi but took 1/3 less shots. So replacing Izi in the lineup probably helps the numbers on offense.
There is no stat that can measure it, but she’s got to be one of the most exciting players in the league as well.
Instead of "best" offensive players...
I might say “most impactful on their team this season”, which might seem like a merely semantic distinction but is more about the influence they have on their team (in one year ratings) than an objective statement about a hierarchy of “talent”.
Even with all the 1-year caveats, I’d argue that most of these top players are the types of players you’d seek out if you were putting together a winning team, given style of play.
I think you’re also right about Atl’s style – especially in the 2nd half, they thrived on creating turnovers and scoring in transition or via “secondary break”/early offense. Price is going to look extremely good in that situation on top of her improvement this year.
An impact statement still seems to be off with how far Bird, Hammon, etc fell, but I think that’s a standard problem of stats generally undervaluing what point guards do.
Twitter: @NateP_SBN.
Ditto
Steals and blocks per 40 are helping her out considerably (top 15 in each)… but there’s definitely room for debate: her on court opp pts/40 is only average…
Twitter: @NateP_SBN.
Kristi Toliver fairs much better in one-year RAMP than she does in the four-year data
The three players above Toliver in one-year RAMP are Jia Perkins, Jantel Lavender and Epiphanny Prince, and the three players below are Carolyn Swords, Crystal Langhorne and Lauren Jackson. Contrast that with four-year RAMP, for which the six names are Doneeka Lewis, Quianna Chaney, Loree Moore, Allison Feaster, Shannon Bobbitt and Quanitra Hollingsworth. I’ll chalk this up to rebounding from a disappointing second season rather than noisy data.
Personal opinion of the one year data:
There are more results that are explained by performance than by noise.
And many of the players whose value might seem inflated can also be interpreted as a matter of minutes. As Shannon noted in the other post, it challenges dominant perception of some underheralded players.
Twitter: @NateP_SBN.
by Nate Parham on Oct 15, 2011 12:57 PM EDT up reply actions

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