Attorney | basketball, draft | words on @thehwcollectlve dbbjasonb@gmail.com

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Cumulative record-keeping thread of basketball projects I've created that I still like:
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The 82 v 16 answer isn’t binary but still says a lot about one’s hoops philosophy How much of player playoff performance is explained by: (i) the current regular season (ii) the previous year regular season (iii) their most recent postseason BRef AIOs used as performance proxy
Replying to @EuroHarden
82>16
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Also extends to how much March Madness performance is over/undervalued in the draft space compared to the full season sample
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Net rating/lineup data has (for better or worse) become a go-to form of player analysis on here I’ve been interested in how coaches can influence that data by how often they ask players to keep “bad” lineups afloat Here’s how often players play in bad lineups + how they perform
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For the purposes of this post, a “bad lineup” is a lineup where three or more players on the court have a DARKO that is below the median team DARKO, only including the players who appeared in the game that day Bad is obviously team relative here
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Some player-specific thoughts - Lauri and JJJ numbers are crazy with UTH/MEM giving a lot of time to develop young players - Wemby 1 of 1 - Luka is his own system - Thibs and Finch live up to their reputations - No excuses for Brown or Banchero
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While my article is going to focus more on when to re-adjust expectations in a negative sense, it’s also interesting to see how fast a star can be born Here are the top 20 projected DARKO peaks from the last 30 years based on a player’s first 1143 NBA mins (the .5 R^2 threshold)
The NBA is a cruel league for young players, but it should probably be even crueler. My next article is about finding the point at which a player’s peak can be more explained by what we’ve already seen than any “development” or intangibles. The answer: only about 1100 minutes
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The big miss here is obviously Bron but he was also thrown into the fire in a way unlike anyone else, which likely stunted his projection Of over 1700 players drafted from 96 to 25, LBJ was the single fastest to hit the minutes threshold, averaging 40 MPG over 29 games to do it
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Also, in case it’s not obvious, I’ve been using DARKO for this project because it allows one to track game-to-game “progress” across every single career game for every player drafted in the last 30 years. Unparalleled in that sense.
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The NBA is a cruel league for young players, but it should probably be even crueler. My next article is about finding the point at which a player’s peak can be more explained by what we’ve already seen than any “development” or intangibles. The answer: only about 1100 minutes
The Atlanta Hawks have waived Devin Carter, league sources told @hoopshype. The 24-year-old guard averaged 8.9 points, 3.3 rebounds and 2.7 assists in 18.4 minutes during 38 games played for the Sacramento Kings last season.
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Jason retweeted
With college basketball rapidly approaching, here are the top incoming freshmen as projected by my model! The model is trained on AAU, FIBA, and International league production and the target variable is first year BPR @EvanMiya's all-in-one metric!
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The Trail Blazers believe Jrue Holiday, Damian Lillard, and Ja Morant can all play together, per @JakeLFischer
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Cody Williams is example 1,000,000 of why you shouldn’t be the first team to try to develop the raw, "project" prospect That said, his brother was also a late bloomer who wasn’t ever particularly impactful, relative to age and competition, until the equivalent of Cody’s 4th year
The Minnesota Timberwolves are trading Josh Green and cash to the Utah Jazz for Cody Williams and John Konchar, sources tell ESPN.
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Historically, after 2691 minutes (Cody’s MP), about 55% of the variance in peak impact can be explained by what we’ve already seen (age, draft capital, past performance) My projections think Cody PEAKS as the equivalent of the 182nd best player. Ironically, right below Rob Dilly
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CDub was a very poor draft prospect and lottery selection, is a terrible NBA player, and will probably never amount to anything but, given the financial and time constraints, is probably a fine bet for Josh Green. A better EV play than Konchar imo
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Jason retweeted
Will probably try to put up a Substack about this, but based on the last 8 years of data, the best active coaches at increasing a player’s defensive impact are (roughly): 1. Kelvin Sampson 2. Jon Scheyer 3. Rick Barnes 4. Tommy Lloyd 5. Brian Dutcher 6. Mark Few 7. Randy Bennett
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Jason retweeted
I’m happy to present my long-form Swish Theory debut! I teamed up with the great @AtTheLevel to analyze our two favorite small guard prospects: Tyler Tanner and Chance Mallory. Show some love ⬇️
Small guards are an endangered species in today's NBA. Tyler Tanner and Chance Mallory are here to prove they're not extinct. New at Swish Theory! A collaboration between @AtTheLevel and @MaxiMonster111. ⬇️ READ BELOW ⬇️
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Russ’ defensive rebounding is an underrated part of his offensive value here. Some say statpadding, but being able to play fast + get into offense ASAP is a tangible advantage Ex. in ‘18, OKC possessions after Russ REBs had a 1.14 PPP, 16% higher than when teammates got a board
the overwhelming difference between Westbrook's massively negative INDIVIDUAL transition scoring and his massively positive impact on his TEAM's transition scoring and volume is a testament to his gift of setting up his teammates' to convert on the slightest of advantages
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These possessions were also over a second faster on avg. And it’s not purely a fastbreak thing — having the ball in the primary decision maker’s hands from the jump reduces the time required to get into secondary or half court actions, as well as the time defenses have to get set
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