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Garrett Larson Elite Prospects ↗

Position: Forward DOB: 1981-02-13 Country: Canada
No commitment set

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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
2000-01 Grande Prairie Storm AJHL 63 46 48 94 1.492 0.5005 0.4680 1.3763 1.2869
■ 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
2004-05 Sacred Heart D1 AHA SR 35 11 23 34 0.971
2004-05 Wisconsin-River Falls D3 BigTen SR 28 20 22 42 1.500
2003-04 Sacred Heart D1 AHA JR 35 19 10 29 0.829
2002-03 Sacred Heart D1 AHA SO 35 13 27 40 1.143
2001-02 Sacred Heart D1 AHA FR 34 12 10 22 0.647
2001-02 St. Cloud State D1 NCHC FR 9 1 0 1 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.65
2001-02 · Sacred Heart
+61.5% vs. projection

NCAAe Rankings

#5875
Forward overall
#231
Forward born in 1981
#35
in AJHL

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Jason Murfitt
Manhattanville · 2002-03
0.875 Strong
actual D2/3 PPG
Tyler Perkins
Finlandia · 2018-19
0.750 Strong
actual D2/3 PPG
Connor Inger
New England College · 2016-17
0.692 Strong
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.