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.
NBA Player Tiers: ’20 | ’21 | ’22 | ‘23: Tier 5| Tier 4| Tier 3
“Can he be the best player on a championship team?”
When we’re talking about differentiating between stars, superstars and franchise players, that becomes the operative question.
For those in Tier 1, the answer is a clear yes. For those in Tier 3, it’s an easy no.
Tier 2 is the area where we have to answer “It’s complicated.”
Indeed, there are players in this tier who have reached the Finals as a team’s best player while situated in Tier 2 (as well as a couple who did so while in Tier 1, but have since slipped a little).
But the margin for error is smaller. Looking at past research, the gap in championship value between Tier 1- and Tier 2-level players has been about the same as the value of a Tier 3 player.
To put it another way, building a team around a Tier 2 guy, as opposed to someone in the rarefied air of Tier 1, requires an additional All-Star level supporting player. This is doable, and teams have done it — the most recent title-winning examples would be the 2014 Spurs and 2011 Mavericks. I didn’t create tiers for those seasons, but I’m fairly confident the late-career versions of Tim Duncan and Dirk Nowitzki on those two teams were high Tier 2 rather than Tier 1 players in the league at the time.
Even if it’s harder to do so, then, Tier 2 becomes the area of the league where we can see a shift from players you can build with to those you build around. It’s not a strict binary: there might be a line somewhere between Tier 2C and Tier 2B.
So who are the 12 in this tier and how do they stack up?
Jamal Murray has been crucial to Denver’s recent playoff success, including in this year’s NBA Finals. (C. Morgan Engel / NBAE via Getty Images)
Tier 2C: 15-18
Paul George, Shai Gilgeous-Alexander, James Harden, Jamal Murray
I’m slightly concerned I’m overreacting to a smallish sample by having Jamal Murray this high. He has never made an All-Star or All-NBA team, and his regular season impact metrics are more in line with the middle of Tier 3 than the bottom of Tier 2. But “Playoff Murray” appears to be a thing. He has played 53 postseason games with shooting splits of 51.1 percent on two-pointers, 40.4 percent on 3s and 91 percent on free throws, and has done so while increasing both his overall efficiency and usage rate compared to the regular season.
From 2018-19 through 2022-23 his 56.3 true shooting percentage on 25.3 percent usage during regular seasons jumped to 58.7 percent and 27.4 percent, respectively, across the 2019, 2020 and 2023 playoffs. While the largest share of credit for Denver’s championship goes to Nikola Jokić, Murray won several games for Denver across the run. His reintroduction in the 2023 postseason illustrated exactly how much the Nuggets missed him in 2021 and 2022 when he was out because of an ACL injury.
Injuries, both to himself and other Clippers, has largely kept Paul George out of sight and out of mind over recent seasons. However, by most available metrics, he is still an extremely impactful player on both ends of the court. As he has aged, he has slipped some as a defender, to the point where he’s closer to “really good” than “All-Defense” or even the “Defensive Player of the Year-level” he was during his Pacers’ prime.
Interestingly, his offensive game has few of the normal indicators usually associated with athletic decline as players move through their 30s. His rim attempt rate has never been particularly high, but his finishing once he gets there has remained around career norms. His foul draw rate — a useful indicator of advantage creation — has held steady. Last season, he posted his highest dunk rate since 2014-15. On top of all this, his playmaking has improved as he’s aged.
His persistent health concerns keep me from slotting him any higher, while his bouts with a wayward jumper have marred his last few postseasons. Even including those concerns, a healthy PG remains among the league’s elite.
To slightly break the fourth wall, the 125 players who made the tiers were finalized weeks, if not months ago. I bring this up to note that if those determinations were still fluid heading into this week, I would have James Harden a step lower, in the Kyrie Irving and Trae Young group of “incredibly talented but can’t trust them” Tier 3A players, instead of here
Having already declined from the Tier 1A group in which he was located for our first edition of the tiers, with injuries and age removing some of the burst that made him a one-man engine of top-level offense, this is now the third time in fewer than three seasons Harden has blown up a team. There are two sides to most stories, and we should be willing to accept that sometimes situations become untenable through no fault of the player involved. But when it keeps happening with the same player multiple times …
Harden’s play during his first campaign in Brooklyn suggested he was still at the level to be worth the headache. However, with each passing season, it becomes harder to credibly make the argument he still is.
In recent years, Shai Gilgeous-Alexander has been the league’s most fascinating case study in deciding whether a player is in fact good enough to build around rather than with. The Thunder, by remaining patient with their stack of young players and stash of draft capital, have mostly operated as if he is in the latter group. But with the emergence of Josh Giddey and Jalen Williams, plus the delayed addition of Chet Holmgren, OKC’s years of waiting around are likely over, which makes this year an important chance for SGA to prove he belongs in the “build around” company.
Gilgeous-Alexander is the most difficult perimeter player in the league to contain off the dribble, with only Zion Williamson and Giannis Antetokounmpo averaging more points in the paint than he did. However, he is largely unproven at maintaining that effectiveness against a fully prepared playoff-level defense. So it’s a pretty big “prove it” year for Gilgeous-Alexander.
But he’s done just about all he can do until given the opportunity to offer said proof.
Tier 2B: 12-14
Damian Lillard, Ja Morant, Anthony Davis
In Tier 2, I wondered about the ceiling of those who can’t operate as offensive initiators. For a number of years, Anthony Davis has been the high-water mark in this category. An extremely versatile defensive player whose skill set on that end seems tailor-made for the playoffs, AD is among the top two or three play finishers in the NBA.
Unfortunately, he lacks a reliable jumper, with the contrast between his long-range shooting during the 2020 bubble and virtually every other period of his career being particularly stark. According to Basketball-Reference.com, Davis has made just 38.2 percent of his career long 2s and 30 percent of his career 3s in the regular season. During the 2020 Playoffs, those figures skyrocketed to 55.2 percent on long 2s and 38.3 percent on 3s, respectively, which was a major factor in the Lakers’ title run. He did shoot well on long 2s last postseason, but at much lower volume than previous efforts.
Further, he isn’t much of a playmaker, as his average of 4.1 assists per 100 possessions ranks 32nd among 33 players who have played at least 2,500 minutes with usage rates of 27.5 percent — the league’s high volume scorers — over the past three seasons.
On top of those drawbacks, there are real questions about durability if he were to be placed back into a role as full-time first option. The opening months of last season were a good illustration. The Lakers needed him to run some hard miles to even keep them in games early in the season, which played a part in him missing 20 consecutive games across December and January.
I don’t want to dwell on Ja Morant’s off-floor difficulties, other than to say they are of his own making and are the kind of things that would push him to the “unreliable” group in Tier 3 if they persist. But I’m not ready to write him off in that way quite yet, and instead I am choosing to focus on the degree to which he’s appeared playoff ready from his first series back in 2021.
That said, once he returns from his 25-game minimum suspension, this is a big year for Morant in terms of shoring up some of his impact numbers. He and Murray are the only players in Tier 2 or higher who didn’t rank in the Top 27 in my Minutes Per Win metric, with only Gilgeous-Alexander (27th) outside the Top 19. While Morant’s playoff resume doesn’t offer much to pick at, it isn’t quite to the level of Murray’s. In some regard, the Grizzlies’ decision to trade Tyus Jones could give Morant an ideal platform, as part of his less-than-stellar ratings in those impact metrics are a result of Memphis’ excellent regular-season performance with Morant off the floor. No longer having one of, if not the best backup/spot-starter point guards in the league could give a truer indication of what a team is likely to miss with him off the floor.
In 2022-23, we saw a renaissance from Damian Lillard, proving that he still has it after finally undergoing surgery for a lingering abdominal issue. How much longer he can stay at this level and, by proxy, exactly how much should a team be willing to give up in a trade for the approximately $215 million he will be owed over his age 33-to-36 seasons is a question beyond the remit of my approach to the tiers. But for this coming season at minimum, he would make a strong impact for a title-curious team.
Tier 2A: 7-11
Kawhi Leonard, Jimmy Butler, Jayson Tatum, Devin Booker, LeBron James
Perhaps the most interesting “Who ya got?” argument to be had in the league is between Jayson Tatum and Devin Booker.
Booker’s development from non-impactful scorer to not just a winning player, but also an engaged and locked in two-way player over the past four-to-five seasons has been nothing short of sensational. It’s the kind of trajectory that gives hope to every team with a developing star wing, whether it’s Anthony Edwards in Minnesota (who has made great strides himself) Jalen Green in Houston (who has a long way to go) or even Scoot Henderson in Portland (who has yet to play a real NBA game).
Heading into last season, we knew Booker was a dynamic and multifaceted offensive player. He’s a top-level shot creator and excellent playmaker, and unlike some high volume scorers, he’s wiling to play off the ball as well as initiating offense himself. Somewhat unusual for a player at Booker’s level of offensive centrality, he has taken massive steps forward defensively. After spending the first six years of his career as a bottom tier defender — he ranked no higher than 414th in Defensive RAPM and the 26th percentile in Defensive EPM over that span — Booker has graded out as roughly average in regular-season defensive impact over the last two years and, to my eyes, raised his defensive output even further in the 2023 postseason.
In the case of Tatum, 90 percent of the time he looks like a Tier 1 player. That 10 percent where he is less than that is a problem, as he goes through bouts of turnover-proneness and poor transition defense. To a large degree, Tatum is representative of the Celtics as a team in that regard, where long stretches of dominance can be undone by moments of seeming madness. Strictly by virtue of his size and frame, Tatum can be, and has been, a more impactful defender than Booker. If that was paired with a little more of Booker’s steadiness and willingness to make quick decisions with the ball more often, I don’t think this would be a discussion, as Tatum would be in the next group up.
If I had to pick one of the two with the explicit goal of winning a championship, I would go with Tatum mostly because of the heightened possibility of an extra gear. But if Booker ultimately enjoys more success because he is less prone to Tatum’s streakiness, I would not be the least bit surprised.
Apply a lot of what I said about Murray in Tier 2C to a player who performs at an All-Star level in the regular season, and you might get something approximating Jimmy Butler: A very good regular-season player who, for whatever reason, has a little something extra in the tank for the playoffs. I’ve written numerous times over the years about the degree to which Butler’s offensive aggressiveness, especially in terms of taking 3s when the opportunity presents itself, has been greater in the playoffs than over the course of the season. But even beyond the directly measurable impacts, he just makes basketball plays, and I don’t know how else to put it.
While much of the credit for Miami outperforming its talent level in recent postseasons goes to Bam Adebayo, the rest of the roster stepping up, the organizational philosophy and, of course, Erik Spoelstra, do those things even matter if they don’t have a player of Butler’s calibre to rely upon? Not a chance.
Time waits for no man, not even one on the GOAT very-shortlist like LeBron James. I’ve been sitting with it for months, but it still feels slightly blasphemous to have him outside the top tier. As I’ve noted before, I first started looking for signs of age-related decline from James in January 2016, and I forget what happened after that.
LeBron James blocks Andre Iguodala in Game 7 of the 2016 NBA Finals. (Garrett Ellwood / NBAE via Getty Images)
Oh, yeah.
But seriously, much like you only need to learn to touch a hot stove once, I wasn’t going to call time on James’ tenure as a Top 5 player too early a second time. But it is time.
He still has the “any given night” ability to be transcendent, but any given night is in contrast with “every” or even “most” given nights, a capacity he used to have and the players in Tier 1 still do. The biggest declines have come, very visibly, on defense, where his level of concentration and intensity frequently waver during the long season. In the right matchup, he can still use his strength to dial up the defensive effort, but his lateral quickness isn’t what it was.
And I still feel weird writing this about him, but … he will turn 39 this coming season, with nearly 66,000 combined regular season and playoff minutes on his odometer. That he’s even this high, still, tells you everything you need to know about how good he was at his peak and how long he stayed there.
Substitute concerns about age with those about injuries, and much of the analysis of LeBron applies with equal force to Kawhi Leonard. In terms of “still got it:” from Jan. 8 until the end of the regular season, Leonard played 35 of the Clippers’ 40 games, in which he put a 64.8 percent True Shooting on 27.8 percent usage, while falling just under the 4.0 percent “STOCK” (combined Steal and Block) rate that is usually a strong indicator of excellent wing defense. He then followed that up with a two-game stretch of 67.0 percent True Shooting on 30.1 percent usage in two playoff games before getting shut down (again) by a knee injury. It’s hard to keep someone with such significant “best player on the floor” equity in any matchup out of Tier 1, but he’s missed more than two out of every five regular season games over the past five seasons in which he’s appeared – and that figure does not include the entirety of 2021-22 he spent recovering from the ACL tear he suffered in the 2021 playoffs.
At this point, you need to ask if you can count on him to be able to finish a lengthy playoff run on the court. That question is enough to move him down to Tier 2, even if the output when he is available might warrant a higher spot.
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Tier 2
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$50.3 / $40.2 / $30.2
9
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$59.1 / $47.3 / $35.4
3
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$48.4 / $38.7 / $29.0
11
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$52.0 / $41.6 / $31.2
8
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$43.0 / $34.4 / $25.8
16
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$40.6 / $32.5 / $24.3
20
(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
50
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$46.6 / $37.3 / $28.0
13
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$41.1 / $32.9 / $24.6
19
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$50.0 / $40.0 / $30.0
10
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$30.8 / $24.6 / $18.5
64
(2500/2000/1500 min. played)
Million
3-yr Avg. Estimated +/-
per 100 possessions
3-yr Regularized Adjusted +/-
per 100 possessions
Prod. Value Est.
$39.5 / $31.6 / $23.7
27
(2500/2000/1500 min. played)
Million
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.
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(Illustration: John Bradford / The Athletic; Photos: Adam Pantozzi, Nathaniel S. Butler / Getty Images)
