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Nathan Longpre Elite Prospects ↗

Position: Forward DOB: 1988-06-16 Country: Canada
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
2004-05 Peterborough Bees OJHL 41 5 8 13 0.317 0.0953 0.1044 0.2171 0.2379
2005-06 Peterborough Liftlock Stars OJHL 48 24 43 67 1.396 0.4193 0.4441 0.9554 1.0119
2006-07 Mahoning Valley Phantoms NAHL 61 27 38 65 1.066 0.4222 0.4356 1.1188 1.1543
■ 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
2010-11 Robert Morris D1 — SR 33 14 28 42 1.273
2009-10 Robert Morris D1 — JR 34 14 17 31 0.912
2008-09 Robert Morris D1 — SO 36 12 29 41 1.139
2007-08 Robert Morris D1 — FR 33 7 17 24 0.727
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.73
2007-08 · Robert Morris
+93.5% vs. projection

NCAAe Rankings

#11862
Forward overall
#463
Forward born in 1988

D1 Comparables

Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.35 No data
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Steman
USHL · 2012-13 · 0.55 PPG
→ Michigan Tech (0.49 D1 FR PPG)
0.34 Average
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.42 Average
NCAAe PPG
Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.40 Strong
NCAAe PPG

D2/3 Comparables

Mike Fiume
Neumann · 2001-02
1.040 Elite
actual D2/3 PPG
Caden Triggs
Concordia · 2019-20
0.600 Average
actual D2/3 PPG
Craig Levey
Hobart · 2000-01
1.038 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.