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Garett Drotts Elite Prospects ↗

Position: Forward DOB: 2003-11-21 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
2021-22 Grand Rapids USHS-MN 28 23 25 48 1.714 0.2170 0.2170 0.4164 0.4164
2022-23 Kenai River Brown Bears NAHL 59 27 26 53 0.898 0.3300 0.3371 0.9482 0.9687
2023-24 Fargo Force USHL 50 8 3 11 0.220 0.1298 0.1205 0.6607 0.6133
■ 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 Augustana D1 CCHA SO 10 0 1 1 0.100
2024-25 Augustana D1 CCHA — 20 1 6 7 0.350
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.35
2024-25 · Augustana
+97.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
20%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#17881
Forward overall
#900
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Jordan Oye
Fredonia · 2006-07
0.556 Average
actual D2/3 PPG
David McNab
SUNY Plattsburgh · 2004-05
0.750 Strong
actual D2/3 PPG
Jake Russo
Elmira · 2018-19
0.360 Average
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.