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2018 WNBA Team Stats Update

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Now that the regular season is complete, let’s take a look at how teams fared in a variety of statistical categories and how those compare to their performances last year.

Net Rating:

This chart shows offensive rating in blue and defensive rating in red for each team and is sorted by points per 100 offensive possessions.  The difference between the two is the net rating as all four non-playoff teams had negative net ratings and all eight playoff teams had positive net ratings.  Defense was a common thread among the worst teams in the league as the five with losing records had the five worst in the league.  The two teams that were worst on offense ended up struggling the most as their porous defenses also did not help them pick up wins.  The two teams that ended up with the best records had different approaches.  Seattle’s dominance was built at both ends of the court, ranking second at both types of efficiency.  Atlanta had the league’s best defense, getting just enough on offense to win a number of close games.

Change from 2017:

Teams are ranked by their offensive improvement as the blue bar represents the change in offensive rating and the red bar represents the change in the defensive rating.  Team win totals changes are listed next to the team name.  A negative change in defensive rating is good because it means fewer points were given up per 100 possessions.  Even though Bill Laimbeer has a reputation as a defensive coach, it was the offensive change that was in the right direction for the Aces as they had a greater improvement in that category than any team.  Seattle’s improvement was on both ends of the court, especially defensively and Atlanta’s similar improvements showed why both increased their win totals the most.  Washington and Dallas also improved in both categories even though Dallas did not improve their record.  The three teams that had the best net ratings a season ago all saw them drop drastically, contributing to the three worst drops in wins.  The Liberty had the third best defense a year ago, but ended up with the third worst this season and their offensive efficiency also decreased.  Minnesota was the leader in both categories last year and saw large drops while Los Angeles still maintained the second best defense even with a decrease while watching their offense suffer as well.

Rebounding:

Defensive rebounding is shown on the y-axis while offensive rebounding is shown on the x-axis and both are expressed in percentages of opportunities available.  Separating the two is especially important in evaluating defensive rebounding as different teams show different levels of interest in offensive rebounds compared to getting back on defense.  Minnesota featured two of the top rebounders of all time and as a result were the best in the league at limiting their opponents’ opportunities.  Chicago was the only team to fail to even grab 70% of their opponents’ misses, which may have contributed to their league-worst defensive efficiency.  Connecticut and Dallas were among the league leaders in both categories, but were especially dangerous on the offensive end.  The Sparks were average on the defensive end, but were the only team to grab less than 22% of their own misses, which may reflect a strategic decision.  Phoenix was second worst in both categories.

Change from 2017:

The x-axis represents change in offensive rebound percentage and the y-axis represents change in defensive rebound percentage.  Both are measured in absolute terms and not as a percentage change.  Three teams improved in both categories with Seattle’s new look frontcourt clearly helping them on the glass with the biggest gains in both categories.  Four teams decreased in both categories, but none as severely as the Liberty as their general downfall was shown quite clearly as they were the league leader in both categories last season, but fell back into the pack this year.  The Sun had a big jump to become the league’s best offensive rebounding team while Minnesota shored up their defensive rebounding even though they had a similar decrease on the offensive end.

There were few other interesting team stats changes this year in other categories.  Minnesota was the only team to not improve their assist to turnover ratio this season.  The biggest improvement was shown by Las Vegas, which saw the amount of possessions ending in a turnover drop by five and a half percentage points, which had to be a factor in their improved offensive efficiency.  Free throw rates dropped for most teams, leading to a decreased reliance on the stripe as a source for points while most teams got a higher percentage of their points from the behind the arc with the Aces as a notable exception due to finally having a post presence.  New frontcourt players also changed the rates at which teams block shots as Seattle and Dallas had the biggest jumps.

Points by Type and Opponent Stats:

The chart on the left shows how teams got their points while the chart on the right shows how they gave them up on the defensive end.   The bottom of each bar is two pointers, the middle is three pointers, and the top is free throws.  Las Vegas was the team that was least reliant on generating offense behind the arc, 7 percentage points below the next closest team and the only team to not score at least 20% of their points from distance.  Unsurprisingly they were first in percentage on points from inside the arc and second in percentage on points from the line.  Phoenix was the only team to score less than half their points from inside the arc while Seattle was the only team to get more than 30% of their points from long range.  There was much less variation on the defensive end, but the Liberty gave up the highest percentage of opposition points on three pointers and free throws.

Looking at the stats put up by opponents can also be useful in other categories.  The Sparks forced a greater percentage of turnovers than any other team, helping their opponents have a worse collective assist to turnover ratio than any individual team.  The Sky were in the middle of the pack when it came to forcing turnovers so the high assist to turnover ratio of their opponents should be attributed to a large number of assisted field goals.  Los Angeles was the best team at avoiding having their shots blocked while Chicago had the worst percentage.  The Liberty gave their opponents the most free throws compared to field goal attempts while the Lynx and Storm gave up the lowest free throw rates.

Home vs. Road:

The blue bars represent the difference in offensive rating on their home court and on opposing courts and the red bar represents the difference in defensive rating on their home court and on opposing courts.  A negative number for defensive rating means that the team has a more efficient defense at home and teams were sorted in order of the biggest difference in offensive rating.  Each team the difference between home wins and road wins next to their name.  Four teams were more than three wins better on their home courts and they were better on defense on their home courts.  Dallas and Connecticut were five wins better at home as they had the two biggest offensive advantages while Washington was the only other team to be more efficient on both ends of the court.  Los Angeles and Atlanta, on the other hand, had the two biggest defensive improvements at home, but both had less efficient offenses.  Indiana and Phoenix were the only teams to win more games on the road than at home and it appears that worse defense should be blamed as both teams were better offensively at home.  All teams were better on at least one end of the court at home.

The y-axis shows the difference in defensive rebound percentage at home compared to the road while the x-axis shows the difference in offensive rebound percentage at home compared to the road.  Scale is based on absolute percentage points and not the ratio between the two.  Five teams grab a higher percentage of misses at both ends of the court at home while Indiana is significantly worse at home on both ends and Minnesota less so.  The Sun are the best team overall at offensive rebounding, but that advantage seems to come primarily on the road where their percentage is more than five and a half points higher than their closest competition.  The Sky and Mercury are the two worst defensive rebounding teams in the league, but that should be blamed more on their inability to secure rebounds on the road than at home.

Seattle and Los Angeles turned the ball over more at home than on the road, leaving them as the only two teams with a worse assist to turnover ratio at home while Chicago managed to avoid a similar fate despite difficulties hanging on to the basketball at home.  There was no overall trend for block percentage, but the league’s best shotblocking team Atlanta made sure to give their home fans a little extra to cheer about defensively while Connecticut was more likely to be silencing the opposing fans.  Free throw attempts as a ratio of field goal attempts was a little higher at home, but not dramatically so.

2018 WNBA Individual Stats Update

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With more and more types of statistics available, let’s take a look at the league leaders in a variety of non-traditional measures.  Players who were on the court for 700 possessions are included with the last team listed for players who appeared for multiple teams this year.

Usage:

24 players were responsible for terminating at least 23% of their team’s possessions while they were on the court.  While there are plenty of recognizable players on the list, there are also a number of new faces as four rookies and three players who were out last season are in this group.  The impact of the return of Liz Cambage to the Wings was obvious as she had a higher usage than anyone else while A’ja Wilson was certainly called on to carry the load for Las Vegas early.  Tina Charles continues to be the main force for the Liberty as the higher number of possessions that she played meant that she terminated more possessions than any other player.  Using usage instead of counting statistics is a good way of better understanding the impact of bench players and starters who may play fewer minutes.  Amanda Zahui B played fewer possessions than the other players on this list, but when she was in, she was often the endpoint of the possession.  A couple midseason moves also had clear impacts as Cappie Pondexter changed the dynamics around the Indiana Fever, which had been giving plenty of opportunities to Kelsey Mitchell in their rebuilding process.  The trade of Alex Bentley also led to a high usage player switching teams, which could turn out to be critical after Atlanta lost Angel McCoughtry.

Effective Field Goal Percentage:

Using the effective field goal percentage instead of the traditional field goal percentage helps take into account the value of the three pointer, allowing those who rely on shooting from the outside to be included among post players who take higher percentage opportunities.  20 players were over 55% once the added point from three pointers is taken into account.  This method favors post players who can also shoot from outside so it was Jonquel Jones who led this category by a wide margin.  Even in this measure, Sylvia Fowles finished second, showing the reliability of her offensive contributions even though she does not venture beyond the arc.  While plenty of traditional posts are on this list, some of the league’s renowned sharpshooters got a solid boost with this method.

Free Throw Rate:

Free throw rate measures the ratio of free throw attempts to field goal attempts.  15 players attempted at least 40% as many free throws as field goals.  Alaina Coates did not play much in her rookie season, but a significant portion of her offensive attempts came at the stripe as she attempted less than twice as many field goals as free throws, the only one on the list to hit that level.  Liz Cambage leads the higher usage players on this list and that helped Dallas have the highest rate as a team.  The group is a mixture of post players, who often find themselves getting fouled as they try to generate offense, and slashers whose style lead to trips to line on their drives.

Rebound Percentage:

Using percentage instead of simply relying on rebounding totals helps us identify some of the players who play fewer minutes who are still proficient at grabbing boards.  Separating offensive and defensive rebounding is also important because different teams have different strategic approaches to rebounding, especially on the offensive end.  19 players grabbed at least 8% of the available offensive rebounds while they were on the court and 19 players grabbed at least 20% of the defensive rebounds available when they were on the court.

It does not matter which end of the court that we are talking about when it comes to Sylvia Fowles crashing the boards.  She was the league leader in both categories and the amount of time she spent on the court compared to her closest competitors make those margins even more impressive.  Courtney Paris did not play as many minutes, but when she did, she rebounded prolifically as her addition to Seattle frontcourt was part of the reason that they had league high improvement in both categories this year.  9 players appeared on both lists.  Brittany Boyd stands out as the lone guard on these lists as the Liberty’s decrease in rebounding prowess this year cannot be blamed on her.

2018 WNBA Career Stats Update

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With the regular season complete, let’s take a look at the players who moved up the career charts this year.  Players who were active this season are highlighted.

Points:

This was a landmark season for a number of players on the scoring charts as Diana Taurasi pushed past the 8,000 point barrier while Sue Bird and Candice Dupree reached 6,000 points, and Angel McCoughtry, Tina Charles, and Candace Parker all crossed the 5,000 point mark.  There will still be plenty of milestones for next season as Taurasi is poised to also hit the 9,000 mark and Cappie Pondexter will be trying to make one more push before the end of her career.  Maya Moore should reach 5,000 points shortly with Sylvia Fowles not far behind.  The newest member of this list is Monique Currie as 13 of the players were active this season.

Rebounds:

The story of the season in this category was Rebekkah Brunson’s chase for the career mark, which she surpassed late in the season.  Tamika Catchings will have her career total chased again next season when Sylvia Fowles can pass it easily with a comparable season to this year after hitting the 3,000 mark.  Tina Charles figures to be the next member of the 3,000 rebound club while it would take an impressive effort from Candice Dupree to be able to do it next year.  DeWanna Bonner is the newest member of this list, while Lindsay Whalen was unable to move into the top 25 before retiring, making it easier for those just below this group to catch her in the future.  For now, this remains a tough group to crack with only 9 active players.

Assists:

While four of the top six all time played this season, the attention went to Courtney Vandersloot, who assisted at an even more impressive clip this year than last year, propelling her into the top ten and probably within two seasons of the top five.  Tanisha Wright returned from a year’s absence to move up one spot in the list.  Four players reached 1,000 assists as Kristi Toliver and Renee Montgomery surpassed Alana Beard while doing so as Briann January entered this list for the first time alongside Danielle Robinson, who is still just short of quadrupile digits.  Having 12 active players on this list has led to plenty of movement over the course of the year.  DeLisha Milton-Jones was bumped out of this group, leaving Tamika Catchings as the only player present on all five lists, although Diana Taurasi (Rebounds) and Candace Parker (Steals) should be in position to join that elite club.

Blocks:

Margo Dydek’s record is still well out of reach, but Brittney Griner continues to beat her pace towards the top as she tied Sylvia Fowles this season in their mutual chase up the ranks.  Candace Parker recorded her 500th block this year and Tina Charles reached 300.  Elizabeth Williams joined the list for the first time, making it 11 active players.

Steals:

Nobody looks set to approach Tamika Catchings anytime soon, but the return of Angel McCoughtry did give us a new member of the top ten.  Lindsay Whalen will finish at an even 500 for her career.  Maya Moore is the newest player on this list, among 10 active players present as she and Cappie Pondexter were the latest to hit the 400 steal mark.  A similar season next year could see Moore jump past a number of players well into the top 15.

2018 All Star Break Team Stats Comparison

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With the stretch run approaching, let’s take a look at how teams have been performing statistically with the playoffs standings being so close at this point.

Net Rating:

The teams are ranked in order of offensive rating with the blue bars representing their offensive rating and the red bars representing their defensive rating as each number refers to points scored or given up per 100 possessions.  The difference between the two is their net rating as all eight teams currently in playoff places have had a positive net rating this season.  It is no surprise that Seattle is on top of the standings right now as they boast the league’s most efficient offense as well as an excellent defense.  Atlanta has the next best record with a very different formula, having the eighth best net rating right now, but being the most efficient defense in the league.  At the other end of the standings, the teams that look set to miss the playoffs have one thing in common, occupying the bottom three spots when it comes to defensive efficiency.

Change from 2017:

Teams are ranked in order of change in net rating.  The blue bar represents the change in offensive rating and a positive number is good.  The red bar represents the change in defensive rating and a negative number is good.  The green bar combines the two for the change in net rating and a positive number is good.

Seattle’s improvement is clear this season as their net rating has improved the most of any team, combining improvement on both ends of the floor.  Dallas has also improved in both categories while Phoenix has had smaller increases compared to last season.  The spotlight in Atlanta may be on the players added with offensive pedigree, but their big improvement so far has been on defense.  While Las Vegas is still chasing a playoff place, the improvement from their last year in San Antonio is clear as their offensive efficiency has improved more than any other team in the league.  One factor that could be contributing is taking better care of the basketball as they turned it over on 21% of their possessions in 2017, the worst mark in the league by nearly two full percentage points, but have only turned it over on 16.1% of their possessions this season, within a tenth of a percentage point of the best in the league.  Interestingly, Chicago’s offense remains efficient despite taking over the lead in turnover percentage after being second last season.

The league has been marked by the dominance of Minnesota and Los Angeles in recent seasons and their fall back into the middle of the pack in the standings is mirrored by a drop in efficiency on both ends of the court.  The Lynx had the top offense and defense last season, but have fallen to eighth on offense while still being third on defense.  The Sparks were second in both categories, but now have the sixth most efficient offense and the fourth most efficient defense.  While both teams had the biggest drop on offense, the biggest drop on defense belongs to New York.  Their vaunted defense was the third best a year ago, but has become the second worst to follow their move down the standings exactly.  A possible culprit for their drop has been a decrease in rebounding prowess at both ends of the court as they had the highest offensive and defensive rebounding percentage last season, but have seen both drop more than five percentage points this season to put them in the bottom half of both categories.

Home vs. Away:

The expectation in basketball is that the home team will have an advantage, but how has that played out in the 2018 season so far?  Home teams are 81-72 so far this season, but have some teams performed better than others at home?  Teams are placed in order of how much their net rating is higher at home than on the road.  The blue bar represents offensive rating and a positive number means that the team is more efficient at home than on the road.  The red bar represents the defensive rating and a negative number means that the team has a more efficient defense at home than on the road.  The green bar combines the two and a positive number means that the team performs better overall at home.  The values represent points per 100 possessions either scored or given up.

Interestingly, exactly half the teams have a higher offensive efficiency at home and exactly half of the teams have a better defensive efficiency at home.  When you combine them and take into account magnitude, ten teams play better overall at home than on the road.  The two teams that do not are worse in both categories at home.  In the case of Seattle, their record no matter where they play has been excellent so having the worst disparity is clearly not affecting them.  Phoenix is a different story as they are the only playoff contender with a losing home record.  Their road record is excellent and right behind the Storm, but with six home games and only two road games remaining, they may want to figure out how to improve their play at home.

Three teams play better at both ends of the court at home, but none have as big of a difference as the Wings, who have the worst road record among playoff contenders.  Interestingly, the two teams that have the biggest offensive improvements at home are the ones playing in new venues as the Aces and Liberty are each more than 8 points per 100 possessions better at home than on the road.  Indiana also has a stronger offense at home and those are three teams  who play significantly worse defense at home than on the road.  The Sparks may have the worst disparity in offensive efficiency at home compared to the road, but their defense has the best margin of difference between venues, making them more efficient at home overall.  Similarly, Chicago’s offensive is less potent at home, but their league worst defense is less bad as well.

Cold As Balls with Candace Parker and Kevin Hart! Hilarious!

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February 17, 2018

Comedic superstar Kevin Hart recently began a series called “Cold As Balls” where he talks with professional athletes while sitting in tubs full of ice; a play on how athletes recover after training. He’s had very candid and quite hilarious conversations with the likes of Lavar Ball, Blake Griffin, Draymond Green and now Candace Parker. Candace didn’t back down from Keven’s line of questioning and actually challenged Hart on how much he actually knew about her. Find out why Parker decided to play basketball, who her favorite WNBA player is, why she’s so competitive and much more. Check out the hilarious video below where you get a look into Candace’s personality as she and Kevin have some good-natured banter.

 

The International Draft Disparity

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February 14, 2018

It may not be the most well-known part of the CBA, but draft rules have become a larger focus in the WNBA in recent years when it comes to international players.  With one of the more highly regarded international prospects in several years becoming eligible for selection in 2018, those who have not thought much about rules differences are considering them now.  An initial bout of confusion came last season when the Lynx signed Cecilia Zandalasini, a free agent who somewhat surprisingly went undrafted in her year of eligibility in 2016.  Since she had at one time considered playing in the NCAA, American WNBA fans were more familiar with her age than other prospects and some were unclear on how she could arrive in the WNBA when other players her age were still in school.  The rules as they are currently constructed make for some tough choices for players with both WNBA aspirations and interest in collegiate play.  One of the top prospects in the 2019 Draft has a difficult decision ahead of her as she will likely be a high pick next year, but will be barred from that draft and the 2020 Draft if she opts to attend college.  Early entry has been a part of men’s college basketball discussions for years, but has not been a talking point on the women’s side.

The Rules:

Draft eligibility is covered on pages 105 and 106 of the current CBA.  Subsection (b)(i) of Section 1 of Article XIII lays out they basic criteria of eligibility as “(b) A player is eligible to be selected in the WNBA Draft if she: (i) will be at least twenty-two (22) years old during the calendar year in which such Draft is held and she either has no remaining intercollegiate eligibility or renounces her remaining intercollegiate eligibility by written notice to the WNBA at least ten (10) days prior to such Draft;”.  While that covers college players, Paragraph’s (d) and (e) provides rules for  international players as “(d) Notwithstanding Section 1(b) above, an international player is eligible to be selected in the WNBA Draft if she will be at least 20 years old during the calendar year in which such Draft is held. (e) For purposes of this Section 1, an “international player” means any person born and residing outside the United States who participates in the game of basketball as an amateur or a professional. An international player who exercises intercollegiate basketball eligibility in the United States shall be subject to the eligibility rules set forth in Section 1(b)(iii) above.”  That means that players are either classified as non-international or international players with the former not being allowed to play in the WNBA until their age 22 year and the latter being allowed as early as their age 20 year. [Read more…]

Calling all Creators; Adidas Commercial Featuring WNBA Players C. Ogwumike and Parker!

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December 22, 2017

Adidas has been in the forefront in their quest to differentiate themselves from other traditional sports brands. They’ve done this by taking an unorthodox approach to who we typically see in ad’s and commercials. Adidas has found a way to reach the “culture” by using musical artists and influencers to spread their message. Most notably, Kanye West, whose Yeezy line has taken the world by storm, and has helped to make Adidas a recurring name in and around pop culture. In their latest spot, Adidas is ‘Calling All Creators’ “Those with the need, to make something new. The game changers, the difference makers, the boundary breakers, the tomorrow takers.” A call for everyone to bring their ideas to the table, to be fearless and to just create! During their round table discussion, featuring some of the most influential stars of sports and pop-culture, you first hear from WNBA player Chiney Ogwumike when she joins in on the conversation stating that “The game will never be the same.” Check out the video below and let us know what you think.

International Names to Know for 2018 WNBA Draft

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November 10, 2017

The international flavor of the draft varies from year to year, but 2018 has been circled as a year to watch since the 1998-born international players emerged on the youth national team scene.  With a number of them now emerging on the club level, there is plenty of time for fans to familiarize themselves with the players that could be late round picks for their team. Several players are in contention for going much earlier in the draft than typical international players.  The main concern with some of these foreign players will be the likelihood of them ever showing up to their WNBA teams, but with the difficulties in finding late round collegiate gems, there will be players worth taking the risk for.  Here are some of players who could hear their name called next year and some lesser known players who could be surprise picks (name, potential position, national team, club team with country listed if not the same as national team):

Vadeeva began her professional career with Sparta&K Moscow in 2014

Maria Vadeeva, 6′ 3″ C, Russia, Dynamo Kursk

The spotlight has been shining on Maria Vadeeva for several years.  Given a big club role early in her career and fast-tracked to the national team, there is no shortage of evidence of what she can do.  A center with a dazzlingly full array of offensive weapons, Vadeeva’s lengthy experience playing with and against top players has given her the toughness that would allow her to transition more quickly should she choose to make the jump immediately.  With the availability of international players on a year to year basis up in the air, it will be interesting to see which team might be willing to use a higher than expected pick on a well known player.

 

Raisa Musina, 6’4” PF, Russia, UMMC Ekaterinburg

Musina currently plays for Polish club CCC Polkowice

While one top Russian prospect has been on the radar for a while, the other has taken a little longer to emerge, but has done so spectacularly.  Raisa Musina’s breakout season came last year when she was given bigger responsibilities on the club level and was able to showcase her skill and physical development.  A change in clubs over the summer has changed her role, but she has developed the ability to be a high level complementary player in addition to the creative abilities she has in the halfcourt.  With no competitive games over the summer for Russia’s senior squad, a team trying to get her to arrive in her draft year could accelerate her play to the next level.

 

Park Ji-Su, 6’5” C, South Korea, KB Stars 

Park is one of the best players in the WKBL this season averaging a double double for KB Stars.

Placed on the national team at an extremely young age, Park Ji-Su has taken turns in and out of the limelight.  South Korea’s scholastic system for young players kept her out of the spotlight during the club season, leaving only glimpses of national team play available to try to discern her improvements.  That changed last season when she turned 18 and joined the professional league, making an immediate impact.  Projected first as a player with defensive potential, Park does have a feathery touch on her jumper and the building blocks for a more complete offensive game in the future.  As a December-born player, she is about as young as any draft prospect out there and should a team try to bring her over at some point, her transition will need to be managed well as she is still working on being more assertive.

[Read more…]

WNBA All-Time Career Stats Leaders

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With the 2017 regular season complete and recent new career marks set, it is a good time to take a look at all of the career lists.  The league has provided the top 30 in the five main counting stats.  Highlighted players appeared during the 2017 season.  After the retirement of Tamika Catchings, no active players are on all five lists as she and DeLisha Milton-Jones are the exclusive members of that list.  Four active players, Alana Beard, Candace Parker, Diana Taurasi, and Lindsay Whalen appear on four lists.

Points:

It was a major season for broken records, and having a new all time scoring leader was certainly part of it as Diana Taurasi leaped past two players to top the top.  Sue Bird’s other milestone gained more recognition, but she reached the top ten in this category and was joined by a resurgent Candice Dupree.  There are two newcomers on the list as Maya Moore and Sylvia Fowles joined, showing the experience of the Lynx as they have six players on this list, nearly half of the active players.  Plenty of movement should be expected on this list next year, especially when Angel McCoughtry makes her return and jumps well past the 5,000 point mark.

Rebounds:

Tamika Catching set the career mark in this category last season, but her retirement has given Rebekkah Brunson the chance to pass her next year after she moved into the top three and surpassed 3,000 rebounds.  Sylvia Fowles and Tina Charles moved into the top ten, but will have to have great seasons again to reach 3,000 next year.  Camille Little is the latest player to join this list.

Assists:

The most recent milestone was Sue Bird’s climb above Ticha Penicheiro for the all time assists mark.  This was certainly viewed as a possibility before the season, but really required a second straight big year to accomplish.  Courtney Vandersloot was a big gainer on this list this year and a similar performance next year should push her well into the top ten.  There are three newcomers on the list as Candace Parker surpassed the 1,000 mark and Renee Montgomery and Kristi Toliver also check in at the bottom.

Steals:

It will be a long time before anyone threatens this career record, but there has been plenty of movement.  Alana Beard passed several players to reach fourth, but is just shy of Sheryl Swoopes with a question of retirement looming.  Sue Bird looks set to move further up this list next season.  Camille Little and Cappie Pondexter are the newest players to join this list.

Blocks:

This is also not currently within reach, but the chase pack is more clearly defined as Sylvia Fowles and Brittney Griner both had strong seasons in this category and could both make it into the top five in a year.  Diana Taurasi is actually still higher on this list than she is on the steals list.  Jessica Breland, Elena Delle Donne, and Alana Beard are the newest players on the list, giving Beard membership on her fourth list.

2017 Team Stats Update

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Now that the regular season has concluded, it is a good time to see how teams stack up in some less traditional statistical categories now that the league is in it’s second year of providing additional information.

Net Rating:

Using offensive and defensive rating is a good way of comparing teams because it equalized the number of possessions being accounted for with both expressed as points per 100 possessions.  The blue bar represents offensive rating while the red bar represents defensive rating.  The difference between the two is the net rating.

The team win-loss records are pretty clear for this season after looking at this chart.  The four non-playoff teams all have substantially worse offenses than the playoff teams.  The top four defenses had the best records in order while the three offenses were among those teams.  Minnesota and Los Angeles continue to lead in both categories while New York continues to rely on a stingy defense to pick up wins.  Dallas and Seattle were the last teams in the playoffs and their solid offenses were betrayed by below average defense.  Atlanta’s defense was very solid, but their lack of offense stifled their attempts to sneak into the playoffs.  San Antonio’s offense continues to lag behind the rest of the league as they finished at the bottom of the standings again.

Change vs. 2016:

With two seasons of statistics, it is now much more simple to compare the two years.  The blue column represents the change in offensive rating, the red column represents the change in defensive rating, and the green column represents the change in net rating from 2016 to 2017.  The changes in wins is included in the team labels.

Looking at the the teams with dramatic changes in fortune between the seasons, it is clear why the number of wins changed.  Connecticut, Dallas, and Washington improved both defensively and offensively.  Indiana’s collapse happened on both sides of the ball, while Chicago and Atlanta saw their decline occur on the defensive end.  Minnesota and Los Angeles were viewed as having dominant regular seasons last year, and this year has seen both of them improve in on court performance, even though there was a negligible difference in their records.

Rebound Percentage:

Separating the two rebound percentage statistics gives a better picture of team at each end of the court.  The x-axis represents the percentage of available offensive rebounds that the team grabs while the y-axis represents the percentage of available defensive rebounds that the team grabs.  Since offensive rebounding is often the result of strategy decisions, measuring defensive rebounding on its own is useful.  Strong defensive rebounding limits the opposition’s chances and gives the team more chances on offense.  Strong offensive rebounding can give the team more chances, but if it is the result of sending more players to crash the board, could result in giving up more transition points.

New York continues to be one of the league’s better rebounding teams, leading in both categories.  Connecticut follows them on the defensive end while Minnesota is the next team on the offensive end while also being among the leaders on the defensive end.  Indiana, Seattle, and Chicago struggle at both ends while the rest of the teams hover around the average defensively, but range widely at the offensive end.  The top five defense rebounding teams also have the top five defense and include the four teams in the league with the best records.  Offensive rebounding does not share the same relationship with offense.

Points Breakdowns:

The first chart is a breakdown of how each team scores its points while the second chart show how each team gives up its points.  The blue bars represent points from two pointers, the red bars show points from three pointers, and the green bars show the percentage of points coming from free throws.  While some of the extremes from other seasons are not replicated in this seasons figures, there are still some interesting observations.  Seattle scores a larger percentage of its points from behind the arc, but it also gives up the largest percentage from distance.  Dallas scores the lowest percentage of its points from two point field goals, but a larger percentage of the points scored on them come from inside the arc than for any other team.

Correlations:

Measuring correlation between various statistics can lead to rethinking of the relationships between them.  It is difficult to determine whether or not these relationships exist, but R-Squared, which ranges from 0 to 1 can determine how strong that relationship is within the data that is available with higher numbers being stronger.  The first chart shows correlations calculated with offensive rating and the second chart shows correlations calculated with defensive rating using team data.

Unsurprisingly, teams with strong assist to turnover ratios at higher offensive ratings.  Assists signify good offense while turnovers prevent more scoring opportunities, which is also shown by teams with higher turnover percentages having lower offensive ratings..  Teams with better defenses also tended to have better offenses, which is likely due to those teams having better personnel among other factors.  What is interesting is that defensive rebounding percentage had a higher correlation than offensive rebounding percentage, although neither had a particularly large R-Squared.  In theory, offensive rebounds should result in more chances to score, but this may represent different strategic choices.  Defensive rebounding could indicate talent disparities, but less energy expended on defense could also boost offense.  Pace and free throw rate have positive, but weak correlations.

It is no surprise that defensive rebounding has a strong correlation with better defense.  The ability to limit opponents to single chances on the offensive end is clearly useful.  Offensive rebounding also had a correlation in the same direction, which could indicate that crashing the boards could help prevent the opposition from getting into their offense quickly.  Block percentage and pace had correlations in direction that would be expected, with teams blocking more shots and teams that played in slower games having better defensive ratings, but neither correlation was particularly strong.