The Gravity Report
THE 644
1 JOKIĆ 97.8 · 2 GILGEOUS-ALEXANDER 92.9 · 3 WEMBANYAMA 85.7 · 4 ANTETOKOUNMPO 83.9 · 5 DONČIĆ 83.0 · 6 LEONARD 77.3 · 7 CUNNINGHAM 70.3 · 8 TOWNS 69.3 · 9 MITCHELL 68.1 · 10 MAXEY 67.3 · 11 BALL 66.8 · 12 HOLMGREN 66.6 · 13 CURRY 66.5 · 14 DUREN 65.9 · 15 BARNES 65.8
Deep Dive №2 · A registered forecast · rev. v2

The Queta Problem

Why Neemias Queta is a top-50 player, and why 2026–27 proves it.
Not a research paper. This is an article, typeset in LaTeX: independent analysis, not peer reviewed.
Findings may be revised. Errors are the author's own. Relabeled October 6, 2026; no content changed.
Relabeled October 8, 2026: the series is now called Deep Dives (it was Articles), because The Gravity Report now publishes two formats, Deep Dives (long, with the full method) and Articles (short). Same number, same address. No numbers, findings, or forecasts changed.
Abstract. Our July 2026 ranking of all 644 NBA players placed Neemias Queta — undrafted-adjacent, twice-waived, the 39th pick of 2021 — at #41, ahead of household names and a full tier above his public reputation. This article treats that placement as a testable claim rather than a quirk. We discount the model's own shiniest input (his +8.6 on/off) with an empirical persistence model built from 184 player-pairs — read as uniform noise the ranking is unchanged, and under the harshest reading (only his number inflated) he slips just outside, to #53–55. We run a comparables engine over every statistically similar big-man season since 2020 — 33 seasons from 22 players, the Gobert / Robert Williams / Jarrett Allen family — and find a top-50-caliber follow-up rate of 39% by season and 32% by player. And we stress the one real threat, Boston's signing of Mitchell Robinson, noting the Celtics answered it themselves by extending Queta for $56 million afterward. The article ends with a falsifiable forecast: GRAVITY prices the scenarios, the weights are ours and anchored to observable rates, and under them we assign roughly 75% to Queta finishing 2026–27 as a top-50 player. We will score this prediction in July 2027.

Principal findings

  • The anti-fluke pattern: his season workload grew nearly sixfold (333 → 1,926 minutes) and his scoring efficiency went up — PSA 130 → 132 → 134, all 79th–87th percentile — where bench bigs normally regress when the role doubles.
  • The shiny number, attacked: only about a third of a season's on/off persists into the next year (r = 0.317, n = 184 player-pairs). Discounted uniformly, #41 does not move; discount his number alone — the harshest reading — and he lands #53–55, just outside the claim. The bet never rested on the shiny number, and the article says plainly that the harshest discount grazes it.
  • The base rate: of 33 comparable elite-efficiency, low-usage big-man seasons since 2020, 39% (32% counting each of the 22 players once) delivered a top-50-caliber follow-up — a rate robust to every cutoff variation tested.
  • The market's opinion: Boston signed Mitchell Robinson on July 6 — then extended Queta for $56 million anyway.
The registered forecast: P(top-50 in July 2027) ≈ 75% · P(top-25) ≈ 40%. Falsification on the record: #50 or better = win · #51–70 = near miss, a failure owing a diagnosis · below #70 = clean miss. Registered July 10, 2026; grading tightened against ourselves July 11, 2026; the claim, probabilities, and thresholds are unchanged since registration.
Page 3 of the paper: the anti-fluke chart — scoring efficiency rising as role size grows — and Queta's 2025–26 percentile profile.
The anti-fluke chart (p. 3). Efficiency against role size: the line goes up where comparable bigs regress, and the 2026 playoff sample is plotted separately. Below it, what #41 is made of — elite finishing at real volume, offensive rebounding, rim protection.
Page 4 of the paper: the on/off persistence cloud — 184 player-pairs across two seasons — with the least-squares fit and Queta's +8.6 marked.
The persistence cloud (p. 4). All 184 players with 1,000+ filtered minutes in both seasons. About a third of an on/off number survives the year — measured, not argued.
In plain terms: it's not a moonshot claim — it just requires this season to mostly repeat. We wrote down in advance exactly what counts as being wrong, and #51 counts.

Cite this note

Freedman, F. (2026). "The Queta Problem: Why Neemias Queta Is a Top-50
Player, and Why 2026-27 Proves It." The Gravity Report, GRAVITY Deep Dive No. 2, v2.
https://thegravityreport.com/notes/queta/

@techreport{gravity2026queta,
  author      = {Freedman, Francesco},
  title       = {The Queta Problem: Why Neemias Queta Is a Top-50 Player,
                 and Why 2026--27 Proves It},
  institution = {The Gravity Report},
  type        = {GRAVITY Deep Dive},
  number      = {2},
  year        = {2026},
  month       = {7},
  note        = {v2, revised July 11, 2026},
  url         = {https://thegravityreport.com/notes/queta/}
}
Revision note (v2, July 11, 2026), following external review: model output separated from editorial scenario weights, with each weight anchored to an observable rate; "two-thirds noise" corrected to cross-season persistence (least-squares slope reported alongside r); the shrunk-on/off counterfactual re-run properly — #53–55, not the ≈#48 a shortcut produced in v1; comparables disclosed as 33 seasons / 22 players with a cutoff-sensitivity table; grading tightened: #51–70 is a near miss, not a push. The registered forecast itself is unchanged — that is the bet.