Derrick Jones Jr.

Los Angeles Clippers

SF 6-5 210 lb 9 yr exp UNLV
2.8 Predictability score 39 games started, 2025-26
Season 2025-26 season backtest

Projected vs actual profile

Season averages, axes scaled to an elite starter level.

Model vs naive baseline

The naive forecaster projects the average of season and last-5 games. We publish the comparison for every stat, whichever side wins.

StatAvgModel MAENaive MAESkill
Points 10.08 4.51 4.46 +4.5%
Rebounds 3.64 1.63 1.62 +1.1%
Assists 1.49 1.12 1.11 +5.6%
3PM 1.0 1.04 0.99 -3.8%

Skill = CRPS improvement of the full probability distribution over a Poisson naive, per game. Points and rebounds drive the headline score; assists and threes are shown for transparency.

Game by game: predicted vs actual

The shaded band is the model's 10th to 90th percentile before tip-off. Dots are what he actually did.

Every game he started

DateOpponent PointsReboundsAssists3PM
2026-04-12 vs Golden State Warriors 0 (10.8) 4 (4.2) 0 (1.6) 0 (1.2)
2026-04-10 @ Portland Trail Blazers 10 (9.7) 2 (4.4) 1 (1.5) 2 (1.2)
2026-04-08 vs Oklahoma City Thunder 11 (10.0) 5 (3.8) 1 (1.3) 2 (1.0)
2026-04-07 vs Dallas Mavericks 11 (10.6) 10 (4.0) 2 (1.5) 1 (1.1)
2026-04-05 @ Sacramento Kings 6 (10.3) 3 (4.0) 1 (1.6) 0 (1.1)
2026-04-02 vs San Antonio Spurs 4 (9.5) 4 (3.6) 1 (1.4) 0 (1.2)
2026-03-31 vs Portland Trail Blazers 1 (9.9) 3 (4.2) 2 (1.5) 0 (1.2)
2026-03-29 @ Milwaukee Bucks 13 (11.4) 4 (4.3) 0 (1.4) 1 (1.2)
2026-03-27 @ Indiana Pacers 4 (11.7) 3 (4.5) 3 (1.6) 0 (1.5)
2026-03-25 vs Toronto Raptors 2 (12.4) 7 (4.0) 0 (1.8) 0 (1.5)
2026-03-23 vs Milwaukee Bucks 7 (12.4) 5 (4.4) 1 (2.0) 0 (1.4)
2026-03-21 @ Dallas Mavericks 15 (12.1) 6 (3.9) 5 (1.9) 3 (1.3)
2026-03-19 @ New Orleans Pelicans 22 (12.3) 4 (3.7) 3 (2.0) 1 (1.4)
2026-03-18 @ New Orleans Pelicans 4 (12.4) 2 (4.1) 3 (1.8) 0 (1.6)
2026-03-16 vs San Antonio Spurs 10 (11.2) 3 (4.4) 1 (1.4) 2 (1.2)
2026-03-14 vs Sacramento Kings 2 (12.9) 3 (4.5) 1 (1.6) 0 (1.6)
2026-03-13 vs Chicago Bulls 10 (13.2) 6 (4.6) 3 (1.4) 1 (1.6)
2026-03-11 vs Minnesota Timberwolves 12 (12.1) 4 (3.8) 1 (1.4) 0 (1.5)
2026-03-09 vs New York Knicks 16 (11.5) 7 (3.3) 2 (1.4) 4 (1.5)
2026-03-07 @ Memphis Grizzlies 16 (12.7) 4 (3.5) 1 (1.5) 0 (1.5)
2026-03-06 @ San Antonio Spurs 12 (11.5) 3 (3.3) 2 (1.4) 2 (1.4)
2026-03-04 vs Indiana Pacers 12 (13.1) 2 (3.9) 0 (1.5) 1 (1.4)
2026-03-02 @ Golden State Warriors 9 (12.9) 6 (3.7) 1 (1.7) 0 (1.5)
2026-03-01 vs New Orleans Pelicans 17 (13.7) 2 (3.4) 0 (2.2) 3 (1.5)
2026-02-26 vs Minnesota Timberwolves 18 (12.2) 1 (3.5) 1 (1.7) 1 (1.5)
2026-02-22 vs Orlando Magic 6 (11.3) 3 (3.3) 3 (1.7) 0 (1.6)
2026-02-20 @ Los Angeles Lakers 13 (11.0) 8 (2.9) 2 (1.5) 1 (1.5)
2026-02-19 vs Denver Nuggets 22 (10.1) 3 (3.3) 1 (1.4) 2 (1.7)
2026-02-11 @ Houston Rockets 12 (9.1) 1 (3.1) 3 (1.3) 2 (1.5)
2026-02-10 @ Houston Rockets 6 (9.1) 1 (3.1) 0 (1.3) 2 (1.3)
2026-02-08 @ Minnesota Timberwolves 5 (11.2) 4 (3.0) 4 (1.2) 1 (1.5)
2026-02-06 @ Sacramento Kings 13 (11.3) 3 (3.0) 0 (1.4) 1 (1.1)
2025-11-16 @ Boston Celtics 5 (11.5) 1 (3.6) 0 (1.5) 1 (1.3)
2025-11-14 @ Dallas Mavericks 15 (11.3) 4 (3.3) 0 (1.5) 0 (1.6)
2025-11-12 vs Denver Nuggets 8 (11.1) 4 (2.8) 4 (1.2) 0 (1.7)
2025-11-10 vs Atlanta Hawks 11 (13.1) 2 (3.2) 2 (1.3) 0 (1.7)
2025-11-08 vs Phoenix Suns 7 (11.7) 0 (3.8) 1 (1.2) 0 (1.7)
2025-11-06 @ Phoenix Suns 10 (11.1) 1 (3.5) 0 (1.2) 2 (1.8)
2025-11-04 vs Oklahoma City Thunder 16 (9.4) 4 (2.9) 2 (0.9) 3 (1.7)

Bold = actual, in brackets = model projection before the game. Only games he started are shown: our projections assume the starting five, so a scratch is not a model miss.

About this data

The 2025-26 season is a holdout backtest: the models were trained and validated only on seasons up to 2024-25, then predicted every 2025-26 game. The season is fully out-of-sample, with one caveat: historical features use realized lineups, while live production predicts from the expected starting five, so live accuracy can run marginally lower. Projections and full distributions for today's games are on the NBA player projections page, and the methodology behind every model is on the methodology page.