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Joshua Burke Elite Prospects ↗

Position: Forward DOB: 2001-01-03 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 New Jersey 87's EHLP 1 1 1 2 2.000 0.2294 0.2332 0.4508 0.4582
2019-20 Houston Bulls NAHL 31 3 3 6 0.194 0.0711 0.0711 0.2042 0.2042
2020-21 Danbury Jr. Hat Tricks NAHL 45 5 18 23 0.511 0.1878 0.1878 0.5395 0.5395
2021-22 — NAHL 48 9 27 36 0.750 0.2756 0.2554 0.7916 0.7336
■ 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 Amherst D3 NESCAC SR 25 12 14 26 1.040
2024-25 Amherst D3 NESCAC JR 25 7 15 22 0.880
2023-24 Amherst D3 NESCAC SO 25 10 14 24 0.960
2022-23 Amherst D3 NESCAC FR 26 7 11 18 0.692
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.69
2022-23 · Amherst
+228.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
38%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#25371
Forward overall
#1280
Forward born in 2001

D1 Comparables

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
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Ryan McDonald
Framingham State · 2008-09
0.818 Strong
actual D2/3 PPG
Clint Olson
SUNY Geneseo · 2007-08
0.583 Average
actual D2/3 PPG
Rudi Pino
Lawrence · 2010-11
0.926 Strong
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.