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Grant Ahcan Elite Prospects ↗

Position: Forward DOB: 2002-05-18 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 Burnsville USHS-MN 23 8 18 26 1.130 0.3043 0.3043 0.2746 0.2746
2020-21 Bismarck Bobcats NAHL 45 9 7 16 0.356 0.1409 0.1409 0.3733 0.3733
2021-22 Cedar Rapids RoughRiders USHL 61 12 13 25 0.410 0.2519 0.2404 1.2074 1.1523
■ 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 St. Cloud State D1 NCHC SR 36 4 5 9 0.250
2024-25 St. Cloud State D1 NCHC JR 36 5 6 11 0.306
2023-24 St. Cloud State D1 NCHC SO 23 3 5 8 0.348
2022-23 St. Cloud State D1 NCHC FR 19 2 3 5 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.26
2022-23 · St. Cloud State
+15.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
38%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#24001
Forward overall
#1334
Forward born in 2002

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Austin Master
Stevenson · 2017-18
1.148 Elite
actual D2/3 PPG
Payden Benning
Curry · 2007-08
1.074 Elite
actual D2/3 PPG
Tyler Ramm
SUNY Plattsburgh · 2022-23
0.588 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.