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Jayveer Parmar Elite Prospects ↗

Position: Defense DOB: 2005-09-07 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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
2023-24 — USPHL-Premier 36 2 4 6 0.167 0.0549 0.0578 0.0567 0.0596
2024-25 South Shore Kings USPHL-Premier 44 6 26 32 0.727 0.2397 0.2381 0.2474 0.2458
■ 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 Arizona State ACHA_D1 — — 11 2 3 5 0.455
2024-25 Arizona State ACHA_D1 — — 11 2 3 5 0.455
2023-24 Arizona State ACHA_D1 — — 11 2 3 5 0.455
2022-23 Arizona State ACHA_D1 — — 11 2 3 5 0.455
2021-22 Arizona State ACHA_D1 — — 11 2 3 5 0.455
2020-21 Arizona State ACHA_D1 — — 11 2 3 5 0.455

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
2%
Club / ACHA
22%
Other

NCAAe Rankings

#9366
Defenseman overall
#2069
Defenseman born in 2005
#2907
in USPHL-Premier

D1 Comparables

Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.30 Developing D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Josh Timpano
SUNY Oswego · 2011-12
0.500 Average
actual D2/3 PPG
Ryan Johnson
Nichols · 2023-24
0.000 No data
actual D2/3 PPG
Tanner Skaja
Wisconsin-Superior · 2014-15
0.240 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.