This is the fourth annual NBA Player Tiers project, in which Seth Partnow names the top 125 players in the league after each season and then separates them into five distinct categories of value, each with their own sub-categories to further delineate them. These are not meant to be read as firm 1-125 player rankings. Rather, they’re meant to separate solid starters from the very best superstars, and every level in between. This is how NBA front offices assess player value across the league when building their teams.
Previous NBA Player Tiers: ’20 | ’21 | ’22 | ‘23: Tier 5| Tier 4
Now into the NBA’s Top 40, this is the group where I start to think of players as “stars.” Using the rubric used by many teams — as with many aspects of NBA life, this has been exported around the league by former members of the San Antonio Spurs front office — these are “Core” players. Not quite “Franchise” level players, which as I wrote about on Monday, is a key distinction to make since Tier 1 franchise guys have almost three times as much impact toward winning a title as do those at this level:
You might notice there are some recent All-Stars — from 2023 even! — who aren’t included in the “Star” tier and more than a few who have never been All-Stars that are here. In part, this is a difference of opinion between me and the voting consensus, largely over the value of bulk scoring, which isn’t attached to great efficiency, playmaking or defense. But it also reflects the degree to which certain types of regular-season impact aren’t transferable. Domantas Sabonis will win you more regular-season games than a bunch of players in Tier 3, but do those wins translate to playoff dangerousness?
Tier 3C: 34-39
Rudy Gobert, Bradley Beal, DeMar DeRozan, LaMelo Ball, Mikal Bridges, Tyrese Haliburton
This is the group I’m probably fuzziest about in the entire exercise. Having just waxed poetic about the value of stars over and above top role players, I half wonder if this group should not have been the top of Tier 4 rather than here. But c’est la vie. Rudy Gobert is here.
Gobert’s reputation has certainly taken its hits over recent years. Much of last season in Minnesota did not go well for him, and there are more than a few examples of enormous humans declining rapidly once they hit the wrong side of 30. However, he was still a force defensively. According to Cleaning the Glass, the Wolves were 5.7 points per 100 possessions better on defense with Gobert on the floor and were in the 86th percentile of defensive rating in those minutes.
He had a down year defending the rim, not quite keeping up with Jaren Jackson Jr. or Brook Lopez — or even, sadly for Gobert partisans, Walker Kessler. But in context of Gobert’s career, a down rim protection season was still an excellent-bordering-on-elite display of interior impact. The offensive struggles were real, but lineups with Gobert as the lone big on the floor played offense at a league-average level. Regardless, there is very little chance Gobert is in this spot next year; either he bounces back toward his Utah level, or last season proves to be less a blip and more a sign that he’s on the inevitable downward slope.
Bradley Beal and DeMar DeRozan are, in contrast, offense-only players about whom I’m similarly confused about what to do. Beal’s post-contract-extension purgatory means he hasn’t played a meaningful game in several years. He’ll certainly have every chance to prove he can play winning basketball in Phoenix, especially on the defensive end, where the hope is his poor impact according to most metrics was more because of indifference than inability. DeRozan is similar to several Tier 4 players in terms of playoff success not following from regular-season excellence. His playmaking, tough shot making and ability in the clutch are just enough to push him to this level.
At risk of being a broken record, LaMelo Ball remains something of a mystery. Injuries and a mess of a roster in Charlotte haven’t given us a great look at him, but his ability to score and pass suggests he can be the fulcrum of an elite offense. I also think his length and feel for the game give him potential on the defensive end that he hasn’t really gotten to show. He might be too slight to ever be an on-ball stopper, but alongside solid teammates in a good scheme, could he not perform at a similar level as a Steph Curry on defense?
In many ways, Tyrese Haliburton is a more fully realized version of Ball, as the Pacers surrounded him with shooting and played as fast as possible in his first full season after being traded from Sacramento. I’ve been a fan of Haliburton’s game since his freshman year at Iowa State but always saw him as much more of a later-career Andre Iguodala multi-skilled connector type than a primary offensive engine. He always had the passing skills, but the improvement in his ability to break down set defenses has been a surprise and has translated into higher volume scoring than expected while also putting Haliburton in more positions to use those passing skills.
Speaking of players I’ve long been in the tank for, for many years, Mikal Bridges was the avatar of the difference between elite role players and Tier 3-plus stars until he got traded to Brooklyn and showed plenty of potential as a higher usage on-ball scorer than he ever got to show as an uber-qualified 3-and-D player in Phoenix. I’ll admit I’m possibly getting ahead of myself projecting that he can maintain that level, but in 27 games in Brooklyn, he had a 60.7 true shooting percentage on 30.3 percent usage. Only 25 players have managed that feat over a full season playing 1,500-plus minutes since the introduction of the 3-pointer, though it is a bit easier these days with league average efficiency at a high-water mark. Given his All-Defensive-level ability to guard, Bridges even has a decent amount of room to fall off offensively and still perform at this level.
Jalen Brunson has proven himself to be a viable playoff performer. (Jim Rassol / USA Today)
Tier 3B: 25-33
Trae Young, Kyrie Irving, Khris Middleton, Jrue Holiday, Draymond Green, Pascal Siakam, Zion Williamson, Jalen Brunson, Lauri Markkanen
I’ve been skeptical of Jalen Brunson since before his NBA career began. How would an undersized power guard with limited athletic pop function at the NBA level? Then the question became: Would such a player be a viable playoff performer? Could he be a starter? Could he become the best player on a playoff-level offense? He’s answered yes to each question so definitely that there is no conclusion to draw other than he is much better at basketball than previously given credit for. I still don’t think that makes him a franchise-level player. But considering how aggressively teams look to extend the contracts of their top players these days, it might be years before we see a player acquired as a free agent make as large an impact as Brunson has done in New York.
Trae Young and Kyrie Irving should undoubtedly be higher in the tiers based on talent and production, but there is the question of trust. How can you trust either player to play winning basketball, or at times in Irving’s case even play at all, against top competition.
Young showed flashes of becoming a postseason difference-maker in Atlanta’s run to the conference finals in 2021 but has stagnated and perhaps even backslid a little from there with a dreadful 2022 postseason followed up by posting below league average scoring efficiency for the first time since his rookie year in 2022-23.
But more than the numbers has been the seeming failure to improve either his off-the-ball play, where he has tended to spectate rather than participate after passing even as Atlanta has added more offensive creators, or on the defensive end. Given Young’s size and slight build, the latter is always likely to be a problem in the playoffs, one which will require him both to score efficiently in his own right but reliably drive elite offense even against top defensive teams.
The upcoming season might represent a last hurrah of sorts for Khris Middleton, Jrue Holiday and Draymond Green as Top 40 players. Between injuries (Middleton and Green), loss of shooting confidence (Green) and signs of athletic decline (Holiday took fewer than 20 percent of his shot attempts inside of 3 feet for the first time in his career, with his rim-attempt rate dropping by a third over the last two seasons), last year was a bit worrying. With all three getting a full summer to recover, they could certainly maintain their status, but it’s something to keep an eye on.
I don’t know what to make of Zion Williamson at this point. His offensive impact is elite. He gets to the rim at an absolutely ludicrous rate, nearly 50 percent more often per possession than any other player in the last 25 years. However, he remains mediocre at best defensively and can’t stay on the floor. But if he can stay reasonably healthy…
It would be interesting to see Pascal Siakam returned to a more natural offensive role. He was a wonderfully efficient complementary scorer and do-everything connector on Toronto’s 2019 championship squad. Since Kawhi Leonard left in free agency that summer, he has been thrust into a primary offensive role, jumping from 20.8 percent usage in the title campaign to 26.8 percent usage in the four seasons since. He’s managed this load at roughly league average efficiency, which is solid, but Toronto’s overall offense has been average-ish as well. Unlike players in earlier tiers who have profiled as “basically fine” primaries, we have seen Siakam excel in a slightly smaller role, which makes me think he could do so again.
Lauri Markkanen was the breakout player in the NBA last year. He scored in multiple ways and at multiple levels. One of the more impressive aspects was nearly doubling his career FTA/100 rate, as he managed 4.5 FTA/100 over his first five seasons an a robust 8.4 FTA/100 a year ago. He continued to show some of the surprising defensive prowess that allowed him to survive and even thrive as a “small” forward in Cleveland’s monster starting unit in 2021-22, while his ability to move seamlessly across frontcourt positions promises Utah a wide variety of possible lineup options going forward. I would not be surprised to see him continue to climb in future editions if these improvements can translate to a postseason environment.
The shadow of Jaren Jackson Jr., the NBA’s Defensive Player of the Year for 2022-23, looms large in the paint. (Joe Murphy / NBAE via Getty Images)
Tier 3A: 19-24
Bam Adebayo, Jaylen Brown, Donovan Mitchell, Jaren Jackson Jr., Anthony Edwards, De’Aaron Fox
Is there a ceiling on the impact a player can have who can’t function as a primary offensive hub? This is the relevant question regarding the ceiling of Bam Adebayo and Jaren Jackson Jr. In the past, I’ve had Gobert a tier above this, but I am both reconsidering whether I overvalued his defense and think that neither Adebayo nor reigning DPOY Jackson is the level of “one-man top-10 defense” that Gobert was in his prime.
In terms of offense, Adebayo has pumped up his usage into the mid 20s. At least in the regular season. In the postseason, we’ve seen teams almost dare him to try to take over from a scoring standpoint, and while he still has managed to maintain above average efficiency, he hasn’t been willing or able to take on the scoring volume that might be expected. Over the last three seasons, his usage is 24.7 percent across the combined regular seasons but only 21.6 percent across the same three postseasons. This isn’t to say he isn’t a useful and in fact very good offensive player; more that he is perhaps underqualified as a championship-level second option.
In contrast to Adebayo’s abilities as a playmaker, among the 68 players who appeared in at least 1,000 minutes with a usage rate of 24 percent or higher, nobody had a lower Assist/100 than Jackson’s 1.6. While he has had some seasons of solid efficiency, he hasn’t been able to translate that effectiveness to postseason play, even for a team that has been in desperate need of a second scoring option.
It is certainly possible that either player could ascend higher strictly on the basis of their defense, but the more likely path would be increased offensive impact.
I have long been a fan of De’Aaron Fox. He seemingly plateaued and perhaps even regressed across the past couple seasons, trending more toward the “big numbers/limited impact” group of players in Tier 4. But he turned in his best season by far in 2022-23. Many have suggested that he made a mistake in trying to add more muscle to his frame, as that additional bulk blunted his speed, his best weapon. On the evidence last year, those suggestions appear to be correct, as Fox’s ability to reach warp speed made him a nightmare for defenders to stay in front of each night. His 58.4 percent accuracy on 2-pointers was exceptional for a guard, and finishing over 80 percent of his attempts at the rim is up there with the best of the dive-and-dunk bigs, but Fox was doing his work off the dribble. He capped the season with a more than credible performance in his first postseason series, though he (and the rest of the Kings) ran out of gas in Game 7.
I’ll cop to a certain degree of stylistic distaste for Donovan Mitchell’s game. It’s hard to quantify with any precision, but my strong impression is that few are as quick as Mitchell to go “full hero ball” when facing tough situations in the playoffs — which isn’t necessarily a bad thing, as Mitchell has had several postseason runs where his ability as a tough shot maker has kept his team afloat.
However, I’m not sure he’s quite good enough at it to not somewhat limit his team’s postseason offensive ceiling. Further, he has been exploited quite badly on defense numerous times. Comparing him to a player (Devin Booker) we’ll get to in the top two tiers, illustrates the sort of fine distinctions that separate players at this level. They have some strong similarities and in fact have identical true shooting percentages over the last three seasons combined. But Booker is just a little bigger, a little more willing to play off the ball and has turned himself into a significantly better playoff defensive player, which is why Booker is up a little higher and Mitchell isn’t.
Jaylen Brown and Anthony Edwards are higher than their regular-season metrics might indicate. Over the past three years, they have been 99th and 128th in RAPM, respectively, while both have hovered right around league-average efficiency in their careers. But both have games that have translated well to the postseason, more definitely in the case of Brown, as he’s played nearly 10 times as many playoff games (105) as Edwards (11).
Their physicality and elite, quick-burst athleticism mean they have the chance to overwhelm even a perfectly schemed defense. Both have limitations — Edwards’ inconsistency as a jump shooter and decision-maker and Brown’s shaky handle in traffic would have to be rectified for either to progress higher — but even with those foibles, they have still been highly effective.
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Tier 3
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$37.1/$29.7/$22.3
33
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.0/$25.6/$19.2
58
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$40.4/$32.3/$24.2
22
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$38.2/$30.6/$22.9
29
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$26.1/$20.9/$15.6
99
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$24.2/$19.3/$14.5
110
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$36.0/$28.8/$21.6
38
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$47.1/$37.7/$28.2
12
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$29.8/$23.8/$17.8
73
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$52.1/$41.7/$31.3
7
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$39.8/$31.8/$23.9
24
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$35.3/$28.3/$21.2
41
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$41.2/$33.0/$24.7
18
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$29.9/$23.9/$17.9
72
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.8/$26.2/$19.6
53
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$45.1/$36.0/$27.0
14
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$34.5/$27.6/$20.7
44
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.2/$25.8/$19.3
57
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$21.9/$17.5/$13.1
140
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$34.7/$27.7/$20.8
43
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$21.4/$17.1/$12.8
145
(2500/2000/1500 min. played)
Million
Tier 4
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$40.2/$32.1/$24.1
23
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$27.4/$21.9/$16.4
89
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$30.6/$24.5/$18.4
65
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.3/$25.8/$19.3
55
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.2/$25.8/$19.3
56
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$23.2/$18.5/$13.9
120
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$35.5/$28.4/$21.3
40
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$39.7/$31.7/$23.8
26
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$36.0/$28.8/$21.6
39
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$29.2/$23.3/$17.5
78
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$33.0/$26.4/$19.8
49
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$37.3/$29.8/$22.4
32
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$37.9/$30.3/$22.7
30
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$44.7/$35.7/$26.8
15
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$14.5/$11.6/$8.7
244
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$39.8/$31.8/$23.9
25
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$39.2/$31.4/$23.5
28
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$36.5/$29.2/$21.9
36
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$29.9/$23.9/$17.9
70
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$18.6/$14.9/$11.2
179
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$33.6/$26.9/$20.1
47
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$33.0/$26.4/$19.8
52
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$30.2/$24.2/$18.1
68
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$36.0/$28.8/$21.6
37
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$33.0/$26.4/$19.8
51
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$27.3/$21.8/$16.4
90
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$34.1/$27.3/$20.5
46
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$32.7/$26.2/$19.6
54
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$22.6/$18.1/$13.5
129
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$25.9/$20.7/$15.5
100
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$24.2/$19.3/$14.5
111
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$20.8/$16.6/$12.4
154
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$18.2/$14.6/$10.9
186
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$9.9/$7.9/$5.9
328
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$25.5/$20.4/$15.3
102
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$23.4/$18.7/$14.0
118
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$37.1/$29.6/$22.2
34
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$16.8/$13.5/$10.1
209
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$18.1/$14.5/$10.9
188
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$17.2/$13.8/$10.3
200
(2500/2000/1500 min. played)
Million
Tier 5
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$23.1/$18.5/$13.8
124
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$28.0/$22.4/$16.8
83
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$21.3/$17.0/$12.7
149
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$28.0/$22.4/$16.8
84
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$24.8/$19.9/$14.9
107
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$25.3/$20.3/$15.2
104
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$24.0/$19.2/$14.4
114
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$31.7/$25.4/$19.0
59
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$14.5/$11.6/$8.7
243
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$16.9/$13.5/$10.1
207
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$19.3/$15.5/$11.6
173
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$30.5/$24.4/$18.3
67
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$21.2/$16.9/$12.7
152
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$40.5/$32.4/$24.3
21
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$16.5/$13.2/$9.9
217
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$16.1/$12.8/$9.6
222
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$36.5/$29.2/$21.9
35
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$29.2/$23.3/$17.5
79
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$18.8/$15.0/$11.2
176
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$22.5/$18.0/$13.5
131
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$25.3/$20.2/$15.1
106
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$37.6/$30.0/$22.5
31
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$26.3/$21.0/$15.8
96
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$7.9/$6.3/$4.7
357
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$21.3/$17.0/$12.7
148
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$22.2/$17.8/$13.3
134
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$28.9/$23.1/$17.3
81
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$34.1/$27.3/$20.5
45
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$9.9/$7.9/$5.9
330
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$27.8/$22.2/$16.7
85
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$24.0/$19.2/$14.4
115
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$20.7/$16.5/$12.4
157
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$14.8/$11.9/$8.9
242
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$16.6/$13.2/$9.9
215
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$9.8/$7.8/$5.8
334
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$26.7/$21.4/$16.0
93
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$15.6/$12.4/$9.3
230
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$31.1/$24.8/$18.6
62
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$23.0/$18.4/$13.8
125
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$18.3/$14.7/$11.0
182
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$9.9/$7.9/$5.9
327
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$34.8/$27.8/$20.9
42
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$17.1/$13.7/$10.3
204
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$6.7/$5.4/$4.0
379
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$15.1/$12.1/$9.0
236
(2500/2000/1500 min. played)
Million
About this story: Edited by Rob Peterson. Development by Marc Mazzoni. Design by Drew Jordan. Design direction by Amy Cavenaile and Ray Orr. Support and production by Brooks Varni.
(Illustration: John Bradford / The Athletic; Photos: Sarah Stier, Stephen Maturen / Getty Images)
