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Jace Letourneau Elite Prospects ↗

Position: Forward DOB: 2004-03-04 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
2021-22 Pembroke Lumber Kings CCHL 27 1 4 5 0.185 0.0402 0.0427 0.1419 0.1506
2022-23 Renfrew Wolves CCHL 44 8 16 24 0.545 0.1183 0.1203 0.4179 0.4249
2023-24 Renfrew Wolves CCHL 55 40 45 85 1.546 0.3352 0.3229 1.1839 1.1406
2024-25 Brooks Bandits BCHL 41 11 23 34 0.829 0.3195 0.2934 1.2061 1.1075
■ 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
2026-27 Clarkson D1 ECAC SO 0 0 0 0 0.000
2025-26 Clarkson D1 ECAC FR 26 7 6 13 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.50
2025-26 · Clarkson
+91.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#13288
Forward overall
#622
Forward born in 2004

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Jake Barkley
Neumann · 2023-24
0.893 Strong
actual D2/3 PPG
George Thurston
Southern New Hampshire · 2018-19
0.909 Strong
actual D2/3 PPG
Brent Wold
Utica · 2013-14
1.000 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.