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Carson Triggs Elite Prospects ↗

Position: Forward DOB: 2004-01-09 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 27 2 5 7 0.259 0.0328 0.0328 0.0630 0.0630
2020-21 Moorhead USHS-MN 22 7 6 13 0.591 0.0748 0.0748 0.1435 0.1435
2021-22 Kenai River Brown Bears NAHL 8 2 2 4 0.500 0.1837 0.1979 0.5278 0.5686
2022-23 Kenai River Brown Bears NAHL 54 7 14 21 0.389 0.1429 0.1469 0.4105 0.4221
2023-24 — NAHL 43 4 11 15 0.349 0.1281 0.1256 0.3682 0.3610
■ 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 Concordia D3 MIAC SO 16 4 10 14 0.875
2024-25 Concordia D3 MIAC — 7 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
22%
NCAA D2/D3
32%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#24878
Forward overall
#1393
Forward born in 2004

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
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
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 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

Joel Wetmore
Utica · 2010-11
0.577 Average
actual D2/3 PPG
Cory Anderson
Manhattanville · 2013-14
0.739 Strong
actual D2/3 PPG
Colin Biebel
St. Michael's College · 2014-15
0.474 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.