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Trent Shanley Elite Prospects ↗

Position: Forward DOB: 1998-11-21 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
2017-18 Connecticut Jr. Rangers USPHL-Premier 43 12 21 33 0.767 0.1004 0.1014 0.2605 0.2630
2018-19 New Jersey 87's EHL 41 19 10 29 0.707 0.1634 0.1596 0.3461 0.3381
■ 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
2021-22 Fitchburg State D3 MASCAC — 17 2 1 3 0.176
2019-20 Fitchburg State D1 MASCAC FR 24 4 2 6 0.250
2019-20 Fitchburg State D3 MASCAC — 24 4 2 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.25
2019-20 · Fitchburg State
+114.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#21527
Forward overall
#1041
Forward born in 1998

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Cory Melkert
Fredonia · 2010-11
0.000 No data
actual D2/3 PPG
Noah Wild
Post · 2015-16
0.500 Average
actual D2/3 PPG
Stefan Seel
Concordia · 2014-15
0.769 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.