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George Grannis Elite Prospects ↗

Position: Forward DOB: 2000-04-16 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
2017-18 Bismarck Bobcats NAHL 8 1 4 5 0.625 0.2296 0.2487 0.6597 0.7147
2018-19 Bismarck Bobcats NAHL 48 5 10 15 0.312 0.1148 0.1192 0.3298 0.3425
2019-20 Bismarck Bobcats NAHL 48 14 12 26 0.542 0.1990 0.1990 0.5718 0.5718
2020-21 Bismarck Bobcats NAHL 48 19 19 38 0.792 0.2909 0.2909 0.8356 0.8356
■ 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
2024-25 Clarkson D1 ECAC SR 2 0 0 0 0.000
2023-24 Clarkson D1 ECAC JR 30 2 1 3 0.100
2022-23 Clarkson D1 ECAC SO 16 0 2 2 0.125
2021-22 Clarkson D1 ECAC FR 18 1 3 4 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.22
2021-22 · Clarkson
+51.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
10%
NCAA D2/D3
80%
Pro / Other

NCAAe Rankings

#22347
Forward overall
#1038
Forward born in 2000
#1634
in NAHL

D1 Comparables

Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG

D2/3 Comparables

George Peterson
Bethel · 2021-22
0.462 Average
actual D2/3 PPG
Mike Rey
Neumann · 2007-08
1.071 Elite
actual D2/3 PPG
John Nadalin
SUNY Oswego · 2000-01
0.321 Developing
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.