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Evan Pringle Elite Prospects ↗

Position: Forward DOB: 2001-01-09 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
2018-19 Aurora Tigers OJHL 50 4 6 10 0.200 0.0490 0.0513 0.1377 0.1443
2019-20 NCDC 44 9 9 18 0.409 0.1668 0.1668 0.3288 0.3288
2020-21 Oakville Blades OJHL 0 0 0 0 0.000
2021-22 Oakville Blades OJHL 53 21 15 36 0.679 0.1665 0.1502 0.4676 0.4218
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
2025-26 Canton D3 SUNYAC SR 26 10 11 21 0.808
2024-25 Canton D3 SUNYAC JR 10 2 2 4 0.400
2023-24 Canton D3 SUNYAC SO 25 8 15 23 0.920
2022-23 Canton D3 SUNYAC FR 20 8 8 16 0.800
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
Actual FR PPG
0.80
2022-23 · Canton
+744.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
12%
NCAA D2/D3
57%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#30607
Forward overall
#1623
Forward born in 2001
#1620
in OJHL

D1 Comparables

USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Manhattanville · 2017-18
0.518 Average
actual D2/3 PPG
SUNY Oswego · 2022-23
0.450 Average
actual D2/3 PPG
Fredonia · 2018-19
0.273 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.