Looking at Hawk's 8th and 23rd pick through the PRISM model (created by Nate Silver, Joseph George, and Eli McKown-Dawson)
Back in March, Silver Bulletin dropped their new PRISM draft model and the full methodology explainer. Last night, I was curious to see who the ideal picks would be based on their model. It was an interesting exercise running the numbers against the Hawks pick because PRISM is built specifically to attack the biases from a statistical POV. In general, I'm not vouching for anybody as my draft board is completely different and I'm not a "pro" basketball scout. This was purely for my curiosity and I thought I would share it here.
- PRISM model explainer: natesilver.net/p/how-our-prism-nba-draft-model-works
- Full 2026 Raw PRISM dataset: Google Drive link
- Silver Bulletin March 2026 Ranking and Full Analysis: natesilver.net/p/prism-2026-nba-draft-rankings
Quick PRISM primer
PRISM is a CatBoost gradient-boosted machine learning model built on the 2010 to 2021 draft classes.
What does that mean? Think of it like teaching a computer to spot future NBA players. You hand it info on every draft from 2010 to 2021 and tell it who turned out good. It starts by making a dumb guess. Then it learns one tiny rule to fix its mistakes ("tall guys with lots of blocks tend to pan out"). Then another tiny rule to fix what is still wrong ("but only if they can shoot free throws"). After thousands of these tiny stacked rules, it spots patterns no person could spell out by hand. Nobody calls it "fade Trae Young types" or "productive bigs like Okongwu are gold." It figured those out on its own from past drafts.
The big design choice: instead of projecting one number like future WAR, it does pairwise comparisons. Essentially, every prospect gets matched up head-to-head against every other prospect, and a player's PRISM score is his average win rate across all those matchups.
The core thesis behind the PRISM model:
- Teams systematically overvalue potential and undervalue production
- Current college production is the strongest predictor of future NBA success
- "Silhouette scouting" (drafting based on what a guy looks like) consistently misses
- Bigs and helpers tend to peak earlier, which matters for rookie-scale value
- Age does a ton of the work. 19-year-olds have the steepest development curves.
- Steals are a cognition metric and correlate with long-term EPM growth
- Combine measurements are amplifiers, not drivers. If you want an athletic guard, take one who already gets to the rim.
- Self-creation is overvalued. High college self-creation does not actually predict stronger NBA development (see Johnny Davis).
Past year model predictions via '25
The scouting consensus rankings serve as a Bayesian prior that fades as the season progresses, meaning at the start of the season in November, there is barely any game data, so the model leans on what scouts say about them. As more games get played, the model starts trusting the actual stats more and the preseason rankings less. So by February, the statistical model has more weight. By March, PRISM's ranking is mostly driven by what actually happened on the court, not by what scouts said back in October.
Raw PRISM (stats only) and why skepticism is warranted
Silver Bulletin also publishes a "raw PRISM" ranking that strips out the scouting prior entirely. This is the pure statistical model output. Looking at it side by side with the official rankings is useful because it shows where the model is leaning hard on its own math and where it is being pulled toward consensus.
| Rank | Player | Raw PRISM | Tier | Trajectory | Volatility |
|---|---|---|---|---|---|
| 1 | Cameron Boozer | 90.1 | Superstar | Steady | Low |
| 2 | AJ Dybantsa | 83.9 | All-Star | Late riser | Low |
| 3 | Kingston Flemings | 81.4 | All-Star | Strong development | Medium high |
| 4 | Keaton Wagler | 81.3 | All-Star | Late riser | Low |
| 5 | Patrick Ngongba | 80.4 | All-Star | Immediate impact | High |
| 6 | Brayden Burries | 78.8 | Quality starter | Late riser | Low |
| 7 | Caleb Wilson | 77.9 | Quality starter | Late riser | Medium high |
| 8 | Yaxel Lendeborg | 77.0 | Quality starter | Early peak | High |
| 9 | Darius Acuff Jr. | 74.8 | Quality starter | Strong development | Medium high |
| 10 | Aday Mara | 74.2 | Quality starter | Immediate impact | Medium high |
| 11 | Morez Johnson Jr. | 74.1 | Quality starter | Immediate impact | Medium high |
| 12 | Darryn Peterson | 73.6 | Starter | Strong development | High |
| 13 | Tyler Tanner | 72.9 | Starter | Late riser | Average |
| 14 | Dailyn Swain | 72.8 | Starter | Late riser | Medium high |
| 15 | Allen Graves | 72.1 | Starter | Steady | Medium high |
A few things jump out for the Hawks specifically. For some reason, Patrick Ngongba moves up to #5 in the raw model, which makes him a more credible BPA option at 8 than the official rankings suggest. Mara stays in roughly the same range. Burries holds at #6. Acuff actually drops slightly. None of those changes really alter the Hawks board discussion below.
Why I'm skeptical with the model: Darryn Peterson's ranking
The most skeptical ranking on this table is Peterson at #12 raw. He came into the season as the consensus #1 overall prospect. Most mainstream boards still have him in the top 3. The raw PRISM model thinks he is barely a starter-tier prospect.
That gap is a good example to be careful with how much weight this analysis puts on the PRISM model. A few things the raw model is missing on Peterson, and by extension on every prospect:
Injuries it cannot see. Peterson played through real injuries this season that suppressed his statistical output, drove down his minutes, and limited his ability to create for teammates. The Silver Bulletin write-up itself notes those issues "may have suppressed his ability to create." The raw model has no way to distinguish injury-suppressed production from genuine production. Anyone with a similar injury context (which is part of why the Mikel Brown back injury section above hedges so carefully) gets the same blind treatment.
Athletic tools that have not translated to box scores yet. Peterson is widely regarded as the best pure athlete in the class, with the kind of physical profile NBA scouts get paid to identify. The PRISM methodology explainer is explicit that combine measurements are "amplifiers, not drivers" and that "if you want an athletic guard because athletic guards get to the rim, a guard who already gets to the rim is a good bet." That logic is internally consistent but it has a real failure mode: a player whose tools are real but whose context (injuries, role, team scheme) is suppressing the rim pressure shows up as a non-prospect.
Strength of role. Peterson was carrying a team that washed out of the tournament early. His usage was forced. The model adjusts for context to some degree but it cannot fully reconstruct what his stat line would look like in a normal offensive environment.
Sample size on a young player. Peterson missed real chunks of the season. Bayesian padding helps, but it pads toward role-group means rather than what a healthy version of the player would have done.
Even Silver Bulletin themselves do not trust the raw output. The official PRISM rankings boost Peterson from #12 raw to #6 with the scouting prior. That is the model's own authors saying "the stats alone are missing something here, the scouts know more than the data does on this guy." If the model needs to be hand-corrected six slots for the consensus #1 prospect, every other ranking in the model carries a similar humility tax. It just is not made explicit for the others.
What that means for reading the rest of this post
The Hawks-specific analysis below is PURELY on PRISM and not film study. That is not because the model is right and the scouts are wrong. It is because PRISM is the most structured public framework available, and it does explicitly capture certain patterns (production over pedigree, age curves, role clarity, defensive event creation) that NBA teams have historically underweighted. The argument is "this is what PRISM sees and here is why it might be worth taking seriously," not "PRISM is correct and the front office should defer to it."
The Peterson example is a healthy reminder that:
- A "model-aligned" pick that ignores injury context can be a real miss
- The pure-Creator small-guard archetype concern that drives the Acuff and Brown analysis is also a structural opinion baked into the math, not a neutral truth
- The non-NCAA blind spots (Daniels, Risacher, Kuminga) are not the only places the model can be wrong. Even D1 prospects with injury or role context can be mispriced.
With that caveat in place, on to the Hawks-specific reads.
Atlanta Context
Best 5-man lineup last year was reportedly CJ McCollum / NAW / Dyson Daniels / Jalen Johnson / Onyeka Okongwu, 391 minutes, 123.1 ORtg, 102.8 DRtg, +20.3 Net. That is sample-size inflated but the core impact numbers are real:
- Jalen Johnson: +2.0 CPM
- Dyson Daniels: +2.0 CPM
- Onyeka Okongwu: +1.1 CPM
- NAW: +0.9 CPM
- CJ McCollum: +0.1 CPM
The rookie at 8 does not need to be a star. He needs to replace some of CJ's creation without breaking the defensive identity. Pick 23 needs to be a clean rotation bet.
What PRISM would have said about the current Hawks core
Before the 2026 picks, it is worth running the existing roster through the PRISM lens. This is the actual filter that tells you what the model values, what it would have flagged on the way in, and where the blind spots are. It directly informs how to read the board at 8 and 23.
Trae Young (2018, drafted 5th)
College: 27.4 PPG, 8.7 APG, 37.1% USG, 48.6% AST%, 11.1 BPM, 9.7 OBPM, 1.3 DBPM, 18.2% TOV%, 1.7% STL%, 0.7% BLK%, 36% from three.
PRISM would have been very nervous. Elite offensive production, but small guard with weak defensive event indicators, high turnover rate, and on the older side for a freshman. This is basically the prototype of what PRISM is built to fade now. The Silver Bulletin write-up directly cites Trae as the cautionary example for the small-guard archetype.
PRISM probably would have flagged him as a "high volatility" prospect: huge ceiling, but the structural concerns (size plus defense plus turnovers) are exactly what the model penalizes.
The lesson is not that Trae was a bad pick. He has clearly been a positive offensive player. The lesson is that PRISM is specifically designed to discount this profile. That matters for the Darius Acuff and Mikel Brown discussions below.
Nickeil Alexander-Walker (2019, drafted 17th)
College at Virginia Tech (sophomore): 16.2 PPG, 4.0 APG, 4.1 RPG, 6.0 BPM, 39.4% from three, 6'5 combo guard with real defensive activity.
PRISM probably would have rated NAW fine but not spectacular - exactly the kind of solid two-way mid-first prospect the model is built to find. Decent size for a guard, good shooting, age-appropriate two-way production, not an outlier on any one metric. He went 17th, which is roughly where PRISM and consensus would have agreed.
The big point: he just won Most Improved Player in his late 20s after years of being a rotation guy. That is the long-tail of betting on productive two-way guards with size instead of small-guard offensive engines. It is the exact archetype Burries fits. Synder's system rewards this archetype.
Onyeka Okongwu (2020, drafted 6th)
College: 16.2 PPG, 8.6 RPG, 2.7 BPG, 61.6% FG, 11.7 BPM, age-appropriate freshman big with elite rim protection.
PRISM would have loved Okongwu. The methodology explicitly notes that productive bigs tend to peak earlier and provide more rookie-scale surplus, which is why PRISM tends to rate them above consensus. Okongwu's profile (high block rate, efficient finishing, age-appropriate, helper-anchor defensive archetype) is exactly what PRISM is built to favor.
The fact that Okongwu has settled in as a +1.1 CPM player on rookie-scale money is the kind of outcome PRISM optimizes for. Also important for what comes later: Okongwu's presence on this roster directly shapes how PRISM-aligned bigs (Aday Mara, Patrick Ngongba) should be valued at 8.
Jalen Johnson (2021, drafted 20th)
This is the most interesting one. Tiny Duke sample (only 13 games before he left the team), but at +2.0 CPM he has clearly outperformed his #20 draft slot.
PRISM would have leaned hard on the scouting prior because of the small NCAA sample, and the prior gets weighted higher for prospects with less reliable in-season data. But the productive aspects of his game (athletic wing, defensive activity, age) would have lined up with what the model values.
Jalen Johnson is essentially the case study for PRISM's central thesis: consensus systematically undervalues productive players whose translatable skills are visible early. He is exactly the type of "raise" the model claims to find. That matters for the Allen Graves and Chris Cenac discussions at 23.
Asa Newell (2025, drafted 23rd)
This one matters because it is the same slot Atlanta is picking at this year. Newell at Georgia: 15.4 PPG, 6.9 RPG, 54.3% FG, 29.2% from three, 74.8% FT, 1 SPG, 1 BPG as an age-appropriate freshman big. SEC All-Freshman.
PRISM in '25 was moderately positive on Newell. The '25 model has him as a steal at 23 (PRISM ranked 10th). Productive freshman big checks the structural bias toward bigs that peak early and provide rookie-scale surplus. Efficient finisher. Decent foul-line touch suggests shooting development upside, which is a PRISM signal.
The three-point profile (29.2% on low volume) is thin, the rebound rate is solid rather than elite for a 6'10 big, and the block rate (1 per game) is below what PRISM wants from a true rim-protection archetype. The Steals signal (1 SPG) is fine but not a cognition outlier.
Newell's specific profile suggests the floor is quality starter. Useful baseline for what 23rd-pick value looks like.
The relevant takeaway for this year: at 23, the Hawks have a real recent comp for what a "productive freshman big with shooting questions" turns into. If Chris Cenac or another similar big is on the board, that comp is informative both ways - the Newell pick is reasonable but does not raise your ceiling much.
The PRISM blind spots: Dyson Daniels, Zaccharie Risacher, Jonathan Kuminga
Now the interesting part. Three of the Hawks' most important recent additions all have one thing in common: PRISM would not have rated any of them at all.
The methodology is explicit that the model currently only evaluates players with at least some Division I NCAA experience. That excludes:
- Dyson Daniels (2022, drafted 8th, G League Ignite): now arguably Atlanta's best two-way player at +2.0 CPM. Drafted at the same slot Atlanta is picking this year.
- Zaccharie Risacher (2024, drafted 1st, JL Bourg/France): The Silver Bulletin write-up specifically name-checks him as one of those "weird big wing prospects" who give NBA teams pause - which is interesting because PRISM cannot even evaluate him directly.
- Jonathan Kuminga (2021 draft, G League Ignite, traded to Atlanta in February 2026): Hawks gave up Porzingis for him. He has been a big lift since arriving (Atlanta reportedly +15.5 per 100 with him on the floor in the regular season) and immediately moved into the starting lineup for a few games.
That is three core Atlanta contributors, two of them at premier draft slots and one as a major trade target, all sitting completely outside PRISM's evaluable universe.
The takeaway is not that PRISM is broken - it is honestly scoped as a model of college statistical production. But for Atlanta specifically, three of their last four big swings have come from non-NCAA paths, and all three have worked out. That is worth keeping in mind when reading PRISM's 2026 board: the model has real signal, but the Hawks have repeatedly found value in profiles the model literally cannot see. If the front office is choosing between a PRISM-favored D1 prospect at 8 and a non-NCAA prospect they like better, history says do not assume the model wins by default. Again this whole analysis is through the PRISM lens.
The takeaway before the 2026 board
PRISM is essentially a structured argument against the kind of pick Atlanta made in 2018 with Trae and in favor of the kind of picks they made with Okongwu, NAW, and Jalen Johnson. The model is going to tell you to take the productive, age-appropriate big or two-way wing over the high-ceiling small offensive guard almost every time, and to fade prospects whose pedigree outruns their production.
It is also going to be silent on prospects who never played D1, which is a real limitation for a team that has hit on Daniels, Risacher, and Kuminga without help from a model like this.
Now to the actual 2026 board.
Pick 8
Based on the PRISM model, best case is that Kingston Flemings or Keaton Wagler falls. Wagler is the cleanest modern guard fit in the class. Flemings is the best true two-way lead guard (according to the model). If either is there, that's who the model picks.
Realistically though, both are top-five PRISM prospects, and they will probably go before 8. So the live board at 8 is something like:
Brayden Burries (PRISM #7, Arizona)
The most likely "best player available" if Flemings and Wagler are gone. PRISM has him just outside the top tier. Comps for him include Josh Hart, Donovan Mitchell, Brogdon, Podziemski, Bane, Suggs. Translation: safe playoff-rotation profile. Maybe not a lead guard but a clean plug-and-play wing for Atlanta. The model loves his shooting, defense, rebounding for position, and motor.
Hawks fit: very clean. Slides next to Dyson, Jalen, NAW, Okongwu. Does not need usage. Defends.
The downside is ceiling. PRISM thinks he is more "great role player" than "future engine," which matters at pick 8.
Aday Mara (PRISM #11, Michigan)
The BPA big-man wildcard and probably the most polarizing realistic option at 8. The case looks like this:
- 12.8 BPM, 7.7 DBPM, 65.8 TS%, 12.0 BLK%, 19.0 AST% for a 7'3 center
- Rare comp list. The big-man model spits out Evan Mobley, Donovan Clingan, Chet Holmgren, Dereck Lively II, Onyeka Okongwu, Walker Kessler, Joel Embiid.
- PRISM weights position-adjusted physicals. For anchors, raw wingspan matters more than length differential. Mara has elite raw wingspan.
PRISM's structural bias toward productive bigs (because they peak earlier and provide rookie-scale surplus) is why he scores this well.
But here is the real concern that does not show up cleanly in the model: minutes. Mara only played around 23 MPG at Michigan, and that is a real problem.
- Foul trouble, conditioning, and matchup coverage all capped his role
- His rate stats (12.8 BPM, 65.8 TS%, 12.0 BLK%) are inflated by playing in short, optimized stints with fresh legs
- NBA centers in a real role play 28 to 32+ minutes. He has never proven he can do that.
- PRISM does Bayesian padding for noisy percentages, but the model does not really have a "scale his impact down because he played 23 MPG" adjustment built in
This problem compounds for Atlanta specifically. Onyeka Okongwu's own minute ceiling sits around 26 to 28 because of foul trouble and frame. If Mara also tops out around 24 MPG, the combined coverage adds up to a full game on paper (around 52 MPG between them with overlap room), but in practice it means Atlanta still does not have a 30+ MPG primary anchor, and uses a top-10 pick on a second-unit role rather than solving a real positional need. That defeats most of the second-rim-protector upside the Mara case rests on. For a team like the Jazz or Wizards with no real frontcourt incumbent, Mara's minute cap is less of a problem. For Atlanta, it turns the pick into a part-time matchup specialist at 8.
Other concerns are real too: 56.4% FT, basically zero shooting, foot speed questions, possible playoff coverage issues, awkward fit next to Okongwu in any starting lineup.
If Atlanta is drafting BPA and is comfortable with the stamina swing and the Okongwu overlap, Mara is the most PRISM-aligned high-upside swing on the board at 8. If the conditioning concern is real, the gap between him and Burries narrows a lot.
Post-combine update: this case got noticeably stronger. Mara measured 7'3 barefoot, 260 lbs, 7'6 wingspan, with a 9'9 standing reach (tied 2nd longest in combine history behind only Tacko Fall). He also won Big Ten Defensive Player of the Year, played all 40 games of Michigan's championship run, and showed three-point shooting at the combine (which addresses one of the main pre-combine concerns). His stock is reportedly "rapidly rising." The 23 MPG stamina concern is still real, but the profile is no longer "stat-line big with no NBA reps," it is "proven winner with historic measurements and shooting touch." Probably bumps above Burries on the PRISM-meets-fit board.
Darius Acuff Jr. (PRISM #10, Arkansas)
Acuff is the trap. PRISM rates him 10th because of real offensive engine production: 60.4 TS%, 9.0 OBPM, 32.2 AST%, 3.09 AST/TO, 29.5 USG%, and a tournament run. The offense translates.
But PRISM is openly skeptical of small guards without defensive upside, and his DBPM is 0.1. The Silver Bulletin write-up specifically name-checks Trae Young as the cautionary tale: a number of small guards "have found out the hard way" that the path to being a positive NBA player is brutal without defensive value.
This is exactly the loop the historical Hawks section above set up. If you trust PRISM, you take Acuff and you have effectively re-drafted Trae. The post-Trae identity is built on Dyson and the perimeter D, and drafting another low-defense small guard kind of undoes that.
PRISM's verdict, paraphrased: real offensive star upside, but the structural concerns are exactly the kind that bench small offensive guards in playoff series.
Labaron Philon (PRISM #19, Alabama)
PRISM has him outside the lottery but with a strong individual offensive profile (10.4 BPM, 9.2 OBPM, 31.9 AST%, 62.6 TS%). His comp list is real: Brunson, McCollum, Murray, Podziemski, Brogdon, Bane. Best high-usage guard profile after the top tier.
The catch: Alabama's spread-floor system inflates everything, and his defensive profile is thin. Better statistical case than Brown or Acuff but still small-guard concerns.
Patrick Ngongba (PRISM #8, Duke)
This one surprised me and is worth flagging because he’ll probably sit at the Hawks' draft slot at 23rd. Defensive anchor at Duke, consistent rim finisher, strong impact metrics. Same Okongwu overlap problem as Mara but with less ceiling. Probably not the pick but a real PRISM-board name at 8th.
The Hawks board at 8 ranked by PRISM-meets-fit
- Wagler if he falls (lowest probability, highest upside)
- Flemings if he falls (very clean two-way fit)
- Burries as the safest plus-minus immediate fit who actually solves a need
- Mara as the BPA big-man swing if the stamina improves
- Philon if Atlanta wants a high-usage offense bet
- Acuff only as a special offensive outlier swing
This ranking puts Burries above Mara despite the lower PRISM score. The minute-cap and Okongwu-overlap concerns are real enough that the BPA big swing only makes sense if the medical and conditioning data is encouraging.
Looking at Mikel Brown Jr
This is where it gets really interesting, because Mikel Brown Jr. is the single biggest gap between consensus and PRISM in the top 30.
Consensus has Brown as a lottery pick. PRISM has him at #29.
Why the gap is so large:
- Louisville played the most NBA-friendly offense of any guard prospect. Five-out spacing, paint-touch driven, early-clock offense, transition volume. Brown's environment was built to make a guard's stats look good. Similar to the system Juwan Howard ran at Michigan that made his son, Jett Howard, look good.
- And he still had the lowest BPM in the realistic Hawks pool: 5.4. For reference, Wagler was 11.1, Flemings 11.5, Burries 10.5, Philon 10.4, Acuff 9.0. In the most guard-friendly setup, Brown's impact metric was about half of his peers'.
- AST/TO of 1.53 is the weakest of the group, despite the easy looks Louisville's system manufactures. AST% is fine (30.3%) but TOV% (11.8%) is the highest of the realistic options.
- Defense is below the bar. 0.5 BLK%, 2.4 STL%. PRISM's steals signal is a cognition metric tied to long-term EPM development, and Brown's profile is thin there.
- His statistical comps are volatile and not flattering: Collin Sexton, Jaden Ivey, Coby White, Tyrese Maxey, Immanuel Quickley. There is real shooting upside in that group, but it is a high-variance high-usage scorer archetype, not a clean lead-guard profile.
The methodology explainer is explicit: PRISM is built to find players whose translatable skills get discounted because they lack pedigree (think Jalen Johnson), and to fade players whose production does not match their pedigree. Brown is squarely in the second bucket.
But what about the back injury?
This is the easiest counterargument a Brown defender will reach for, so it is worth addressing head-on. The lower back injury cost him the NCAA tournament, and a healthy version of any player is going to look better than an injured one. So how much of the 5.4 BPM is actually a healthy-Brown number, and how much is injury noise?
The honest answer: the injury probably accounts for some of the gap, but not most of it. Maybe 1.0 BPM at the high end.
A few reasons the injury cannot really carry the explanation:
The timing does not fit. The injury became acute late enough to knock him out of the tournament, but the Silver Bulletin article itself describes the problem as "early-season struggles and middling assist-to-turnover ratio." Early-season struggles predate any acute injury. So PRISM is not reading a small unhealthy stretch at the end. It is reading a pattern that was there from November.
The structural numbers are not injury-shaped. A back injury can plausibly suppress shooting percentages, lateral quickness, and rim finishing. It does not really explain:
- The highest TOV% in the realistic Hawks pool (11.8%). Decision-making does not get worse with a back injury.
- The worst AST/TO ratio in the pool (1.53) despite playing in Louisville's NBA-friendly five-out offense, which is built to manufacture easy passing reads.
- The 31.0% USG paired with the 5.4 BPM. Highest usage in the group, lowest impact. That gap is "the team is not winning the possession even when the ball is in his hands," which is not really an injury thing.
The steals-improving-late detail actually cuts against the injury narrative. This is buried in the original article. If the back was getting progressively worse, defensive activity should have declined toward the end of the season. Instead his steal rate picked up in the second half. That suggests he was not playing meaningfully hurt for most of the year.
Even the Silver Bulletin does not really lean on the injury. When they hedge that PRISM "might be too bearish" on Brown, the reasons they give are "Brown should be a strong shooter" and "picked up more steals in the second half." Neither is "the back injury suppressed his impact metrics." If the model's own authors are not using the injury defense, that is informative at least to me.
What PRISM does mechanically with injury context: the methodology has no medical or injury data, but two features partially mitigate. Bayesian padding shrinks small-sample rate stats toward priors, so a few bad late-season shooting games get softened. And the BPM trajectory feature could plausibly penalize Brown's late-season decline beyond what a healthy player would deserve. So if you really wanted to give the injury maximum credit, you might move him from #29 to something like #22 to #25. You do not move him from #29 to lottery range.
The honest version of the pro-Brown case is not "the injury makes the PRISM rank misleading." It is "the medicals check out, the workouts blow people away, and the offensive ceiling justifies betting against the impact metrics." That is a real argument, but it is the same argument every team makes about every projection-over-production guard. PRISM was specifically built to flag that argument as a recurring mistake.
Post-combine update: this is where the analysis above needs softening. Brown's medicals came back clean per Bobby Marks (strained lower back plus spasms, NOT structural). He measured 6'3.5 barefoot, 6'7.5 wingspan, 8'4.5 standing reach (real shooting guard size). More importantly, his final 11 healthy games before the injury were 19.6 PPG, 4.4 APG, 1.6 SPG, 43.2% FG, 40.4% from three in 31 MPG. That is elite production. The "1.0 BPM at the high end" estimate above is probably too conservative given that healthy sample. The pure-Creator archetype concern PRISM has is still valid, but the "textbook trap pick" framing is harder to defend post-combine.
What this means for the 23 pick
Brown is not realistically falling to 23, so this is mostly a statistical exercise on him. But the framework PRISM uses to flag him (high-usage offensive guard, weak defensive event creation, archetype the model fades) applies to a few other names that could be on the board at 23. The PRISM-aligned alternatives at 23 are:
- Allen Graves (PRISM #21, Santa Clara): the classic stat-nerd pick. 13.0 BPM, 5.4 BLK%, 5.2 STL%. PRISM weights steals heavily as a cognition metric and Graves checks every box. Unranked by ESPN, which is exactly the kind of consensus-undervalued profile PRISM is built to surface. The Jalen Johnson archetype basically.
- Chris Cenac Jr. (PRISM #27, Houston): PRISM thinks he is potentially playing the wrong role and could profile better as a big wing. Role versatility is a real positive in the model.
- Jayden Quaintance (PRISM #28, Kentucky): tiny sample (4 games at Kentucky), and most of his PRISM score is the scouting prior. Real swing on talent.
- Pryce Sandfort, Isaiah Evans, Zuby Ejiofor: rotation-level fits if Atlanta wants safety.
The PRISM-aligned read for 23: if Allen Graves is there as a value-over-replacement bet, that is the most interesting move.
Quick combine notes
A few combine takeaways that did not fit cleanly into the sections above. The Mara and Brown updates are already in the writeup above.
Michigan won the NCAA Championship. The original PRISM article was published March 28, before the tournament wrapped up. The title elevates three Hawks-relevant prospects: Mara (covered above), Yaxel Lendeborg, and Morez Johnson Jr.
New 23 options post-combine:
- Morez Johnson Jr.: 39" max vertical, second-fastest pro lane time. Measurements mirror Naz Reid, Wendell Carter Jr., Bobby Portis. NCAA Champion. Biggest big-man combine winner. He could move out of the 23 range entirely, but if available, joins the Graves/Cenac/Quaintance tier.
- Chris Cenac Jr.: measured close to Jaren Jackson Jr. That is an elite NBA comp for the Big-wing tweener archetype, which strengthens his case.
Combine measurements for the rest of the realistic board:
- Kingston Flemings: 6'2.5 barefoot but only 6'3.5 wingspan (poor for a lead guard). Offset by dominating combine shooting drills (76% in the 3-point star drill, 86.7% off the dribble).
- Keaton Wagler: 6'5 barefoot, 6'6.25 wingspan (modest, the 7-foot wingspan rumors were false). 36" max vertical was surprising given he had zero dunks all season.
- Darius Acuff: 6'2 barefoot, 6'7 wingspan, 8'2.5 standing reach (excellent length for his height). Best three-quarter court sprint of the day. Biggest combine winner among the guard pool.
- Brayden Burries: 6'3.75 barefoot, 6'6 wingspan, 215 lbs. Solidified his stock without a big swing.
Putting it together
At 8: If Wagler or Flemings falls, the model picks them. If not, the model pick is between Mara and Burries. Mara is the higher-ceiling swing (historic measurements, NCAA Champion, DPOY, showed shooting at the combine), but the 23 MPG stamina question still stacks awkwardly on top of Okongwu's own minute cap. Burries is the cleaner immediate fit who plays full minutes. Acuff and Philon are real options but carry the same small-guard defensive risk that PRISM was literally built to flag using Trae as its main example.
At 23: According to the PRISM model, the realistic targets are Allen Graves, Chris Cenac, Jayden Quaintance, or Morez Johnson Jr. if he is still on the board.
The cleanest PRISM-meets-Hawks-fit answer is probably Mara at 8 (if the front office is comfortable with the stamina swing) or Burries at 8 (if they want the cleaner minute distribution), with Graves at 23.
The Mara debate at 8 seems to be polarizing in this channel. Is the rim protection upgrade worth the minute-cap and spacing tradeoff, or is the cleaner roster fit who actually plays 30 minutes a night the better bet?
Either way, just food for thought.
Other Data Sources:
- CraftedNBA (CPM impact numbers and player profiles): craftednba.com
- Sports-Reference College Basketball (historical college stats for Trae, NAW, Okongwu, Jalen Johnson, Asa Newell): sports-reference.com/cbb
- Bart Torvik (advanced college basketball stats, referenced in the PRISM methodology): barttorvik.com
- Dunks and Threes (EPM, referenced in PRISM development curve analysis): dunksandthrees.com
- SI Atlanta Hawks vertical (lineup data, Kuminga trade context, roster coverage): si.com/nba/hawks
- Silver Bulletin men's COOPER college basketball ratings (referenced for tournament/team strength context): natesilver.net
- 2026 NBA Draft Combine measurements: NBADraft.net
EDITs:
• Corrected the math with Okongwu and Mara minutes.
• Added past predictions from PRISM model via the article below:
