For the first time all year – and certainly not the last – it’s time to turn our attention to WNBA advanced stats. As veteran StormTracker readers know, we’ll be going over these stats on a weekly basis (usually on Monday) throughout the regular season to offer a more accurate perspective on how teams and players are performing. For a primer on the statistics used here, check out our updated Statistical Analysis 101 page.
OFFENSIVE/DEFENSIVE RATINGS
Team ORtg Team DRtg
------------------- -------------------
Seattle 105.5 Atlanta 87.9
Connecticut 102.2 Indiana 92.4
San Antonio 101.6 Washington 93.2
Atlanta 99.1 Connecticut 94.6
New York 98.5 Phoenix 95.6
Washington 98.4 San Antonio 95.8
AVERAGE 97.4 Seattle 96.8
Minnesota 96.0 Tulsa 96.8
Chicago 95.9 AVERAGE 97.4
Phoenix 95.1 Los Angeles 102.4
Tulsa 94.0 Minnesota 102.4
Indiana 92.3 Chicago 106.1
Los Angeles 91.5 New York 106.6
Would you believe that the best offensive team so far this season has been your Seattle Storm? The Storm has made up for inaccurate shooting (the team is 12th in effective field-goal percentage) by ranking in the league’s top three in all three of the other Four Factors, including the league’s lowest turnover rate on offense.
Of course, the most important caveat looking at these statistics is that it is incredibly early. Ridiculously early. Phoenix has played two games thus far, and something tells me the Mercury’s offense won’t be worse than its defense by season’s end. At the same time, the Storm’s Offensive Rating will probably slide a little, but that should be accompanied by an improvement at the defensive end. Besides simply sample size, schedules have yet to come anywhere close to evening out.
Some other notable numbers: New York has been all offense thus far, ranking fifth in Offensive Rating but dead last in the league in Defensive Rating. There’s a giant gulf between Tulsa, which ranks eighth in Defensive Rating but has been better than average, and the bottom four teams in the league, all of whom are giving up a ton of points.
EXPECTED WINS STANDINGS
Team Exp. W% Team Exp. W%
------------------- -------------------
Seattle .754 Atlanta .773
San Antonio .622 Washington .658
Tulsa .467 Connecticut .642
Phoenix .418 Indiana .526
Minnesota .335 New York .260
Los Angeles .260 Chicago .253
As usual, this is expected winning percentage based on point differential. Usually, we’ll show expected wins, but since some teams have played two more games than others so far, we’ll look strictly at winning percentage for now. The Storm and Atlanta have paced the league, with the East far more impressive than the West in terms of differential so far. It’s early.
PACE
Team Pace
-------------------
Tulsa 85.1
Phoenix 83.6
Atlanta 82.2
Minnesota 81.7
Los Angeles 81.2
San Antonio 79.6
Connecticut 77.7
Seattle 77.0
Washington 76.1
New York 76.1
Indiana 75.2
Chicago 73.2
I wanted to show this in large part to highlight just how fast Nolan Richardson has the Shock playing thus far. Tulsa is averaging 1.5 more possessions per 40 minutes than the Mercury. Beyond that, who has played whom makes a big difference right now. The Storm’s pace, for example, was much faster against Phoenix than in the team’s other two games.
WARP LEADERS
Player Tm Win% WARP
-------------------------------------
Monique Currie WAS .819 1.2
Lauren Jackson SEA .797 1.0
Tamika Catchings IND .763 1.0
Angel McCoughtry ATL .756 1.0
Charde Houston MIN .716 0.9
Michelle Snow SAS .832 0.8
Sylvia Fowles CHI .648 0.7
Shay Murphy IND .760 0.7
Tina Charles CON .722 0.7
Crystal Langhorne WAS .624 0.7
Monique Currie is making an early case for Most Improved Player, shooting 50% from the field, better than 40% from three-point range and better than 90% at the free throw line. More on her in tomorrow’s Insider Preview as the Storm prepares to host the Mystics. Currie might have had a claim for Eastern Conference Player of the Week, but it’s hard to argue with the selections of Lauren Jackson and Angel McCoughtry. Give Michelle Snow a lot of the credit for San Antonio starting so well, and Tina Charles looks like an elite player within her first month in the WNBA. Still, it’s definitely early.


E-mail feedback
RSS Feed
These are some great stats I look forward to reading them all season
Could you keep us up to date on PER as well. I would do it myself but I have no idea how to calculate it.
Thanks