2025-26 Season

CHRIS YOUNGBLOOD

Portland Trail Blazers | Guard | 6-4

2025-26 Season

CHRIS YOUNGBLOOD

Portland Trail Blazers | Guard | 6-4 | Yr 0

2.2 PPG

0.8 RPG

0.4 APG

5.5 MPG

-1.0 Impact

Youngblood produces at an below average rate for a 6-minute workload. Defensive impact (-1.4/game) is a concern.

NET IMPACT BREAKDOWN

Every stat, every credit, every cost — per game average

-1.0

Scoring +1.0

Points 2.2 PPG × +1.00 = +2.2

Missed 2PT 0.2/g × -0.78 = -0.2

Missed 3PT 1.1/g × -0.87 = -1.0

Missed FT 0.0/g × -1.00 = -0.0

Creation +0.5

Assists 0.4/g × +0.50 = +0.2

Off. Rebounds 0.2/g × +1.26 = +0.3

Turnovers -0.2

Turnovers 0.1/g × -1.95 = -0.2

Defense -1.4

Steals 0.1/g × +2.30 = +0.2

Blocks 0.1/g × +0.90 = +0.1

Def. Rebounds 0.6/g × +0.30 = +0.2

Fouls Committed 2.5/g × -0.75 = -1.9

Hustle & Effort +0.4

Contested Shots 0.9/g × +0.20 = +0.2

Deflections 0.2/g × +0.65 = +0.1

Loose Balls 0.1/g × +0.60 = +0.1

Raw Impact +0.3

Baseline (game-average expected) −1.3

Net Impact

-1.0

54th pctl vs Guards

About this model: Net Impact can't measure floor spacing, help defense rotations, or playmaking gravity — so wings and guards are slightly undervalued vs bigs. How Net Impact works

TEAM COMPARISON

Impact

Offense

Hustle

Defense

of 17 teammates (10+ games, 10+ min)

Donovan Clingan +8.3 Robert Williams III +5.8 Matisse Thybulle +2.2 Duop Reath +0.8 Deni Avdija +0.5 Shaedon Sharpe -0.1 Jrue Holiday -0.3 Toumani Camara -0.4 Jerami Grant -2.2 Scoot Henderson -2.2 Hansen Yang -2.4 Vít Krejčí -2.8 Rayan Rupert -2.9 Blake Wesley -2.9 Kris Murray -3.0 Sidy Cissoko -3.5 Caleb Love -4.1

SKILL DNA

Percentile rank vs 235 Guards with 10+ games

Scoring 1th

2.9 PPG

Efficiency 11th

45.6% TS

Playmaking 1th

0.6 APG

Rebounding 5th

1.3 RPG

Rim Protection 1th

0.05/min

Hustle 12th

0.07/min

Shot Creation 50th

0% pullup

TO Discipline 99th

0.02/min

THE SEASON SO FAR

Chris Youngblood’s early season was defined by a desperate struggle to stay on the floor, plagued by constant defensive lapses and rushed decisions in fleeting bench cameos. Time and again, coaches handed him brief rotational windows only to watch him immediately bleed value. On 11/07 vs SAC, he posted a brutal -6.7 impact score in just eight minutes, entirely because blown defensive assignments and panicked offensive choices torpedoed his lineup. Even when he managed to find the basket, like his three points in nine minutes on 12/05 vs DAL, his atrocious defensive execution erased that minor production and dragged him down to a -4.8 impact rating. He did offer a rare flash of maximum efficiency on 01/19 vs CLE. By decisively stepping into consecutive perimeter looks during garbage time, he generated a massive +5.2 impact score in a mere three minutes. Ultimately, these sparse moments of shot-making could not mask his overall failure to adapt to the professional pace.

IMPACT TIMELINE

Game-by-game performance vs average. Green = above average, red = below.

PATTERNS

Below-average consistency. Youngblood is negative impact in 67% of games, with scoring moving ~2 points game-to-game.

Flat trajectory all season — first-half impact -1.5, second-half -0.5. No major shifts, which fits with the overall steadiness.

Tends to go on runs. Longest hot streak: 3 games. Longest cold streak: 6 games.

MATCHUP HISTORY

Based on 55 games with tracking data. Shows who guarded this player on offense and who he guarded on defense, with their shooting stats in those matchups.