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Nick Larson Elite Prospects ↗

Position: Forward DOB: 1989-11-14 Country: USA
2008 · Round 4, Pick #108  ·  Calgary Flames Calgary Flames
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
2007-08 Waterloo Black Hawks USHL 57 19 19 38 0.667 0.3933 0.4064 2.0024 2.0693
2008-09 Waterloo Black Hawks USHL 51 19 17 36 0.706 0.4164 0.4117 2.1201 2.0961
■ 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
2012-13 Notre Dame D1 CCHA-orig — 40 4 5 9 0.225
2011-12 Notre Dame D1 CCHA-orig — 34 5 3 8 0.235
2010-11 Notre Dame D1 CCHA-orig — 43 10 9 19 0.442
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.44
2010-11 · Notre Dame
+26.0% vs. projection

NCAAe Rankings

#8205
Forward overall
#306
Forward born in 1989
#645
in USHL

D1 Comparables

Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joe Gambardella
USHL · 2012-13 · 0.75 PPG
→ UMass Lowell (0.24 D1 FR PPG)
0.43 Developing
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.37 Average
NCAAe PPG
Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska Fairbanks (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Ryan Cusin
UMass Boston · 2013-14
1.600 Elite
actual D2/3 PPG
Christopher Miraldo
Westfield State · 2021-22
1.037 Elite
actual D2/3 PPG
Patrick Stillar
SUNY Morrisville · 2010-11
1.154 Elite
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.