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Andrew Harley Elite Prospects ↗

Position: Forward DOB: 1999-11-29 Country: USA
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 East Coast Wizards EHL 40 7 7 14 0.350 0.0809 0.0832 0.1713 0.1761
2019-20 East Coast Wizards EHL 45 25 35 60 1.333 0.3080 0.3080 0.6524 0.6524
■ 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
2024-25 SUNY Oswego D3 SUNYAC SR 2 0 0 0 0.000
2023-24 SUNY Brockport D3 SUNYAC JR 24 3 9 12 0.500
2022-23 SUNY Brockport D3 SUNYAC SO 25 14 15 29 1.160
2021-22 SUNY Brockport D3 SUNYAC FR 27 15 17 32 1.185
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
1.19
2021-22 · SUNY Brockport
+1564.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
48%
Other

NCAAe Rankings

#14033
Forward overall
#648
Forward born in 1999
#203
in EHL

D1 Comparables

Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG

D2/3 Comparables

Nathan Hinze
Beloit · 2023-24
0.312 Developing
actual D2/3 PPG
Shane Bailey
Wisconsin-Superior · 2005-06
0.231 Developing
actual D2/3 PPG
Brendan Patterson
Anna Maria · 2017-18
0.000 No data
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.