
CHICAGO BULLS
Thereās something frustrating about the Chicago Bulls as an NBA fan. Derrick Rose can never stay healthy, the frontcourt is a mess, the minutes balance is out of whack, and they havenāt been good enough to strongly challenge great teams. But they keep plugging along, year-after-year, and now that Tom Thibodeauās totalitarian regime has ended itāll be intriguing to see how the team responds.
2015 in review:
For a season where they introducedĀ Pau Gasol, Rose played over 1500 minutes, and Jimmy Butler emerged as an all-star, it was pretty disappointing. They hit 50 wins and looked like, roughly, the 10th best team in the league, depending on how one adjusts for playoff rotations. Their defense was the worst itās been in the Thibodeau era, but thanks to Butler and Pau the offense kept them high in the eastern conference rankings. The season ended with a series against LeBron, naturally, and with Thibodeau making a blanket fort in the arena as he held out against the front office, but alas,Ā he was eventually sent packing.
Rotation players in: Bobby Portis.
Rotation players out: Ghost of Tom Thibodeau.
Chicago is actually bringing back the entire rotation, and save for a coaching change it looks like the same team. Bobby Portis is a rookie and probably wonāt play much ā but I felt I had to include someone. Heās already making a name for himself, however, and might have a shot at a few stretches on the court provided he can get through Chicagoās deep frontcourt.
2016 Projected
Unfortunately, there are some valid reasons to be pessimistic about the Bulls going forward. The first one, simply, is age, as they got Pauās best seasons in years with heavy minutes and theyāre relying on a few veterans, including key contributors like Mike Dunleavy and Taj Gibson. Taj is surprisingly already in his 30ās, and Dunleavy is moving deep into his mid-30ās. The latter has been one of the NBAās unheralded role players. Heās a good team defender and knows where to position himself, and he regularly draws a large number of offensive fouls, including a season with 63 in Golden State and as many as 34 as recently as 2014. But thereās a concern heās on the verge of breaking down[1. Especially as he starts the season on the shelf with a back injury.] and the Bulls canāt afford to lose his combination of steady outside shooting and defensive acumen.
Joakim Noah will likely have a better season, but his offense was just plain sadĀ last season and he doesnāt have a skillset that ages well. Heās been the backbone for Chicago for a long time, but the new Chicago staff should start planning now on how you preserve him for games that matter.
Of course, here comes the discussion about their frontcourt rotation: given their depth, itās only natural to use it for an advantage and let players rest and recover when necessary. Noah clearly wasnāt right for a large chunk of the season, and Chicago had enough talent to get by with him on the sidelines. Factoring in how awkward the Pau/Noah fit was withĀ both most effective asĀ centers, and it should be an easy move.
The other major age concern is with Chicagoās backup guards: Aaron Brooks is a short point guard now into his 30ās and his defense was already atrocious even in his prime.Ā KirkĀ Hinrich is 34 and people openly wonder why heās still in the league. Tony Snell, fortunately, offers some young legs and some 3/D potential.
Injuries are a concern for most of their players, but it hits one key guy: Rose, obviously. Now that weāve seen post-injury Rose in a few games, you can see a pattern. Heās not letting go on being a star, as his usage rate remains the same as it was during his MVP season. But his efficiency has plummeted in predictable ways. His free throw rate has declined by around 50% and his field-goal percentage has slipped as well. Heās taking a few more outside jumpers, but heās not capitalizing on them. With his turnoversĀ ballooning and a few of his soft skills like passing failing to progress, he rates as a below average player in a few respects. He needs a major overhaul, and itās related to his body. He needs a combination ofĀ drastically remodeling his game based on fewer shots and picking his spotsĀ as well as a Ginobili treatment of heavily reduced minutes and skipping a game during a back-to-back set. Others have noted how much better he plays with more rest.
Jimmy Butler, a player still in his 20ās without major injury issues, doesnāt get ignored here: heās a regression to the mean candidate because his season was significantly better than his last and heās not super young. Based on similar players, one would expect a modest decline, and my own system agrees. More specifically, last year he had the unusual combination of increasing both his usage and efficiency significantly at the same time. Itās reasonable to expect some regression in hisĀ shooting stats as heās forced intoĀ tougher shots and drawing moreĀ adjustments in terms ofĀ opponentās defending him.
The one guy without warts is shiny new toy Nikola Mirotic, who long ago was considered an international stud prospectĀ and finally came to the states and delivered on his potential. Even though he didnāt shoot well from outside, he was still an efficient scorer based on his shot selection.
Chicago played much better with him on the court. He had defensive question marks, but theyāre probably overstated and with a good partner at center itās workable. The problem is that Noah may neverĀ be āthat guyāĀ again and Pau Gasol had defensive issues whenever he was outside of the paint while being routinely pushed around for offensive rebounds. The Bulls actually rebounded better when he was off the court, contrary to his per game averages. How Fred Hoiberg, their new coach, finds a remedy for the frontcourt swamp might determine the teamās fate.
Quick statistic/graph
Mirotic is being tagged with the āsmallball floor spacerā designation, but heās much more than that. Heās fantastic at drawing fouls, and heās one of a rare breed of players who combine a largeĀ free throwĀ rateĀ with high volume three-point shooting. To illustrate this, I compiled a stat called the āMorey indexā[1. To create this stat,Ā I add free throw attempts per field goal attempt and three-point attempts per field goal attempts. Last season, Mirotic led the league with an index near the hallowed mark of 1.000. Kyle Korver was second ā heās not the only player whoās that three-point reliant but heās good enough at other parts of the game that heāll rate well in various other measures. James Harden, a Morey target, is an annual member of this club. DeAndre Jordan shows up too, and a few big men rate well simply because of their free throw rate. Tweaking the measure, I created a geometric mean Morey Index, which simply means itās better to have balanced FT/3PT rates.]
Table: Morey Index leaders 2015, min. 1500 MP
Player | FTA/FGA | 3PTA/FGA | Morey Index | Geom. Morey Index |
Nikola Mirotic | 0.455 | 0.502 | 0.957 | 0.478 |
Kyle Korver | 0.197 | 0.748 | 0.945 | 0.384 |
James Harden | 0.561 | 0.378 | 0.938 | 0.460 |
Lou Williams | 0.426 | 0.482 | 0.907 | 0.453 |
DeAndre Jordan | 0.882 | 0.007 | 0.890 | 0.081 |
Robert Covington | 0.287 | 0.590 | 0.877 | 0.412 |
Isaiah Thomas | 0.437 | 0.434 | 0.871 | 0.435 |
Marcus Smart | 0.266 | 0.570 | 0.836 | 0.390 |
Jason Terry | 0.108 | 0.724 | 0.832 | 0.279 |
Devin Harris | 0.309 | 0.508 | 0.817 | 0.396 |
Summary
Most projection systems are down on the Bulls this season for some of the reasons discussed above, primarilyĀ age and general regression. Thereās a chance a new set of rotations and a different coach will jumpstart the team with Mirotic and Butler leading on offense and better frontcourt healthĀ keying a decent defensive. But for all his quirks, Thibodeau is a defensive mastermind, and it would surprise no one if ChicagoĀ got worse on that end. And sadly, the Bulls should plan their future without Rose because even if they can get him to play well, itāll probably be in reduced minutes.
PBP-Metric[2. This is the initial version of my own metric, which uses a full range of stats collected from play-by-play logs and tested extensively to avoid overfitting.]: 44.0
PT-PM: 47
Nickās[3. For a short description, the predictionsĀ use regression models and neural networks to apply various stats like BPM, RAPM, and Win Shares to 10,000 simulations of the season game-by-game to select the ābestā result.]:Ā 49
Nathan Walkerās[1. Methodology coming on Friday!]: 46