Spencer Jones

Denver Nuggets

SF 6-7 225 lb 1 yr exp Stanford
12.2 Predictability score 40 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 7.92 5.13 5.08 +13.9%
Rebounds 3.73 1.69 1.75 +10.5%
Assists 0.9 0.97 0.81 -15.5%
3PM 1.4 1.3 1.33 +9.7%

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
2026-04-30 @ Minnesota Timberwolves 8 (6.5) 2 (3.9) 1 (1.1) 2 (1.3)
2026-04-27 vs Minnesota Timberwolves 20 (6.0) 3 (3.6) 1 (1.2) 4 (1.3)
2026-04-23 @ Minnesota Timberwolves 6 (5.4) 1 (3.4) 0 (1.0) 2 (1.2)
2026-03-25 vs Dallas Mavericks 4 (8.8) 2 (4.4) 0 (1.4) 0 (1.1)
2026-03-18 @ Memphis Grizzlies 6 (9.2) 5 (4.1) 0 (1.3) 0 (1.2)
2026-03-12 @ San Antonio Spurs 19 (7.7) 4 (3.8) 2 (1.1) 3 (1.1)
2026-02-04 @ New York Knicks 0 (7.0) 3 (3.4) 0 (1.4) 0 (1.4)
2026-02-01 vs Oklahoma City Thunder 6 (6.7) 2 (3.6) 0 (1.1) 2 (1.3)
2026-01-30 vs Los Angeles Clippers 4 (8.4) 6 (3.8) 1 (1.3) 1 (1.6)
2026-01-29 vs Brooklyn Nets 1 (8.0) 1 (4.4) 0 (1.5) 0 (1.4)
2026-01-27 vs Detroit Pistons 12 (7.8) 3 (4.2) 1 (1.2) 4 (1.2)
2026-01-23 @ Milwaukee Bucks 5 (8.9) 5 (4.4) 2 (1.3) 1 (1.4)
2026-01-20 vs Los Angeles Lakers 16 (9.2) 5 (4.1) 0 (1.5) 4 (1.5)
2026-01-18 vs Charlotte Hornets 2 (8.7) 6 (4.1) 0 (1.3) 0 (1.4)
2026-01-17 vs Washington Wizards 7 (8.7) 3 (4.4) 0 (1.4) 1 (1.5)
2026-01-14 @ Dallas Mavericks 10 (8.2) 5 (4.1) 2 (1.2) 2 (1.5)
2026-01-13 @ New Orleans Pelicans 2 (8.7) 5 (3.7) 0 (1.5) 0 (1.5)
2026-01-11 vs Milwaukee Bucks 5 (8.9) 2 (4.1) 0 (1.5) 1 (1.4)
2026-01-07 @ Boston Celtics 2 (9.0) 3 (4.2) 0 (1.7) 0 (1.5)
2026-01-05 @ Philadelphia 76ers 10 (9.6) 3 (4.4) 2 (1.9) 1 (1.5)
2026-01-04 @ Brooklyn Nets 3 (10.4) 1 (4.6) 0 (1.6) 1 (1.6)
2026-01-02 @ Cleveland Cavaliers 13 (10.0) 6 (4.6) 1 (1.9) 3 (1.3)
2025-12-31 @ Toronto Raptors 6 (9.7) 7 (4.3) 2 (1.7) 0 (1.5)
2025-12-29 @ Miami Heat 16 (9.5) 3 (4.4) 1 (1.8) 5 (1.4)
2025-12-27 @ Orlando Magic 14 (8.8) 6 (3.8) 3 (1.4) 3 (1.3)
2025-12-25 vs Minnesota Timberwolves 12 (8.5) 8 (3.5) 1 (1.4) 2 (0.9)
2025-12-23 @ Dallas Mavericks 6 (8.3) 4 (3.5) 2 (1.4) 0 (1.0)
2025-12-22 vs Utah Jazz 3 (8.2) 1 (3.6) 3 (1.8) 0 (1.3)
2025-12-20 vs Houston Rockets 9 (6.9) 4 (3.1) 2 (1.1) 1 (1.0)
2025-12-18 vs Orlando Magic 8 (6.9) 1 (3.4) 1 (1.1) 0 (1.1)
2025-12-15 vs Houston Rockets 11 (6.7) 3 (3.2) 0 (1.1) 2 (1.1)
2025-12-11 @ Sacramento Kings 2 (9.2) 3 (3.4) 1 (1.6) 0 (1.3)
2025-12-07 @ Charlotte Hornets 8 (9.1) 2 (3.7) 1 (1.6) 2 (1.3)
2025-12-05 @ Atlanta Hawks 6 (8.6) 4 (3.6) 2 (1.5) 0 (1.4)
2025-12-03 @ Indiana Pacers 1 (8.6) 3 (3.8) 0 (1.6) 0 (1.4)
2025-12-01 vs Dallas Mavericks 28 (6.8) 5 (3.6) 0 (1.4) 4 (1.2)
2025-11-29 @ Phoenix Suns 16 (5.5) 9 (3.0) 1 (1.5) 4 (0.9)
2025-11-28 vs San Antonio Spurs 9 (4.7) 1 (2.8) 3 (1.2) 1 (1.1)
2025-11-24 @ Memphis Grizzlies 0 (4.3) 5 (2.6) 0 (1.4) 0 (1.1)
2025-11-22 vs Sacramento Kings 1 (5.5) 4 (2.4) 0 (1.1) 0 (1.0)

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.