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Read-only snapshot: model data as of 2026-07-16; paper desk record through 2026-10-22. No live data; paper units only.
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Findings

Findings

Fourth-quarter rate shifts and their limits

Descriptive splits, not a skill. Per-player fourth-quarter rate shifts are shown with their confounds stated. They are not a late-game skill and not a prediction.

no packet verdict (descriptive exhibit)n = 409 qualified of 626 players, 1,231 gamesno intervalnba_q4_shift.jsongenerated 2026-07-24descriptive_only
quoted on 2 pages
Findings are exploratory unless a pre-registration file, date and hash are shown on the page.

How it was tested

  • Gate: descriptive: Q4 versus Q1-Q3 per-36 rates with an appearance floor
  • Corpora: local per-quarter boxes, 2024-25, 2025-26 present in this cache
  • Folds: none

Replication

single corpus

Inspector

No inspector page for this finding.

Descriptive Q4-vs-Q1-Q3 per-36 scoring, rebounding, and assist rate shift per player, from local per-quarter boxes -- not a late-game-skill or predictive claim.

Un-refused

The site's clutch_context module honestly REFUSED a clutch number because the grain was wrong. This is what it took to turn that refusal into an honest number: not 'clutch', just the measured Q4-vs-earlier per-36 shift. Published alongside the refusal.

Method. Per-player Q4 vs Q1-Q3 per-36 rates from local per-quarter player boxes; a floor of >=25 Q4 appearances. Descriptive historical splits, not a clutch metric and not a prediction.

Window: 1,231 games (2024-25, 2025-26 present in this cache) — a fixed set of games in this cache, not the current season.

Points shift

floor: q4_games>=25 and q13_min>=100 and q4_min>=25 · n_qualified 409 of n_considered 626

Top risers

PlayerQ4 /36Q1-3 /36ShiftQ4 games
Sandro Mamukelashvili29.2615.74+13.5252
Doug McDermott20.3311.5+8.8331
Anfernee Simons27.9219.42+8.568
Zion Williamson36.5928.84+7.7532
Norman Powell30.7423.03+7.7253
Collin Gillespie21.1913.73+7.4630
Jamal Cain17.9411+6.9435
Tristan Thompson10.724.15+6.5735
CJ McCollum28.2421.78+6.4553
Donovan Mitchell32.9526.63+6.3271
Luka Garza24.3218.16+6.1630
Olivier-Maxence Prosper16.3310.18+6.1543
Zach LaVine28.4522.34+6.1170
Thomas Bryant20.6814.85+5.8349
Neemias Queta16.9311.15+5.7856

Scroll horizontally for all columns.

Top fallers

PlayerQ4 /36Q1-3 /36ShiftQ4 games
Nikola Jović9.8718.49-8.6136
Domantas Sabonis14.3921.93-7.5457
Branden Carlson15.2722.04-6.7731
Myles Turner13.6320.32-6.6962
Micah Potter3.4410.12-6.6827
Gary Harris1.888.43-6.5531
Andre Drummond8.9215.41-6.4925
Steven Adams4.8711.27-6.439
Tim Hardaway Jr.9.2515.62-6.3767
Josh Okogie10.9717.11-6.1429
Vít Krejčí8.6314.73-6.153
Lonzo Ball6.7312.7-5.9734
Kristaps Porziņģis19.4925.41-5.9237
Jaylin Williams8.9814.78-5.836
Michael Porter Jr.15.6821.32-5.6466

Scroll horizontally for all columns.

Rebound shift

Top risers

PlayerQ4 /36Q1-3 /36ShiftQ4 games
Dalen Terry7.493.66+3.8251
Trey Jemison III11.818.46+3.3434
Jae'Sean Tate9.035.88+3.1546
Ariel Hukporti9.886.75+3.1325
Kelly Olynyk10.77.6+3.134
Andre Jackson Jr.9.316.45+2.8635
Tari Eason11.348.57+2.7748
Charles Bassey16.3913.71+2.6826
Deandre Ayton13.6610.98+2.6836
Jett Howard5.042.38+2.6553
Johnny Furphy7.835.25+2.5841
Christian Koloko11.158.58+2.5733
Max Strus8.145.63+2.5140
Baylor Scheierman7.294.92+2.3731
Tre Jones6.554.18+2.3639

Scroll horizontally for all columns.

Assist shift

Top risers

PlayerQ4 /36Q1-3 /36ShiftQ4 games
Blake Wesley8.364.76+3.649
Pat Spencer8.485.23+3.2631
Maxi Kleber4.681.72+2.9530
Rob Dillingham8.535.6+2.9338
Dejounte Murray10.197.32+2.8826
Jalen Pickett7.624.88+2.7441
Shake Milton6.083.63+2.4548
Reed Sheppard5.553.38+2.1744
Aaron Holiday4.862.87+1.9958
Jordan Goodwin4.382.49+1.8927
Craig Porter Jr.5.843.99+1.8444
Micah Potter3.011.24+1.7727
Ousmane Dieng3.922.3+1.6233
Rayan Rupert2.581.01+1.5746
Orlando Robinson4.673.11+1.5632

Scroll horizontally for all columns.

Confounds

  • Q4 minutes are heavily lineup- and blowout-dependent: stars sit in blowouts, benches play garbage time -- this is NOT playing-time-neutral.
  • per-36 on small Q4 minutes is noisy even at the floor; treat as descriptive, not a ranking of ability.
  • NOT a clutch metric (clutch requires score/time context this does not have) and NOT predictive.
  • fixed historical game set; not current-season.

Descriptive Q4-vs-Q1-3 per-36 splits only, from a fixed observation window — not a clutch metric, and not a forecast-quality measurement.

Limitations

  • Sample and independence: quarters repeat players and games; per-36 rates from few Q4 minutes are noisy.
  • Scope: the seasons present in the local cache, players above the floor only.
  • Does not establish clutch skill or predict future fourth quarters.

Verdict history

  1. : current: no packet verdict (descriptive exhibit)

Reproduce

python scripts/platformkit/analytics_showcase/nba_q4_shift.py

Source path

scripts/platformkit/analytics_showcase/out/nba_q4_shift.json

scripts/platformkit/analytics_showcase/nba_q4_shift.py

Change log

Quoted on

scripts/platformkit/analytics_showcase/out/nba_q4_shift.json is quoted on:

Findings