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Gavin Lindberg Elite Prospects ↗

Position: Forward DOB: 2004-04-20 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2019-20 Moorhead USHS-MN 19 2 4 6 0.316 0.0850 0.0850 0.0767 0.0767
2020-21 Moorhead USHS-MN 22 4 14 18 0.818 0.2203 0.2203 0.1987 0.1987
2021-22 Waterloo Black Hawks USHL 13 1 1 2 0.154 0.0945 0.0993 0.4531 0.4760
2022-23 Waterloo Black Hawks USHL 58 14 19 33 0.569 0.3498 0.3493 1.6764 1.6740
2023-24 Waterloo Black Hawks USHL 58 19 29 48 0.828 0.5087 0.4827 2.4383 2.3138
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Colorado College D1 NCHC SO 36 6 15 21 0.583
2024-25 Colorado College D1 NCHC — 37 5 5 10 0.270
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.27
2024-25 · Colorado College
-26.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
2%
NCAA D2/D3
15%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#10779
Forward overall
#458
Forward born in 2004

D1 Comparables

Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.