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Jason Diamond Elite Prospects ↗

Position: Forward DOB: 1998-11-09 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
2016-17 Connecticut Nighthawks EHL 36 2 7 9 0.250 0.0578 0.0625 0.1223 0.1322
2017-18 Connecticut Nighthawks USPHL-Premier 44 23 21 44 1.000 0.1308 0.1318 0.3394 0.3421
■ 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
2022-23 Western New England D3 CNE — 25 5 11 16 0.640
2021-22 Westfield State D3 MASCAC — 27 6 9 15 0.556
2020-21 Becker D3 — JR 9 4 1 5 0.556
2019-20 Becker D3 — SO 23 10 11 21 0.913
2018-19 Becker D3 — FR 25 4 3 7 0.280
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.28
2018-19 · Becker
+214.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#24035
Forward overall
#1164
Forward born in 1998

D1 Comparables

Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Akezhan Melis
Albertus Magnus · 2022-23
0.167 Developing
actual D2/3 PPG
Mario Tropea
Neumann · 2016-17
0.583 Average
actual D2/3 PPG
Connor Roach
SUNY Brockport · 2021-22
0.421 Average
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.