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Jimmy McDermott Elite Prospects ↗

Position: Forward DOB: 1999-11-25 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 Wisconsin Whalers NA3HL 42 6 13 19 0.452 0.1041 0.1150 0.1433 0.1583
2017-18 Wisconsin Whalers NA3HL 45 24 28 52 1.156 0.2658 0.2802 0.3661 0.3859
2018-19 North Iowa Bulls NA3HL 42 22 28 50 1.190 0.2738 0.2742 0.3772 0.3777
■ 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
2023-24 Assumption D2 NE10 — 25 3 6 9 0.360
2022-23 Assumption D2 NE10 — 22 4 1 5 0.227
2021-22 Assumption D2 NE10 — 11 0 2 2 0.182
2019-20 Saint Mary's (MN) D1 — FR 4 0 0 0 0.000
2019-20 Saint Mary's (MN) D3 — FR 4 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
48%
Other

NCAAe Rankings

#23404
Forward overall
#1164
Forward born in 1999
#599
in NA3HL

D1 Comparables

Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.33 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.34 Strong
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG

D2/3 Comparables

Matt Dillon
Salve Regina · 2016-17
0.808 Strong
actual D2/3 PPG
Niko Schoner
Canton · 2021-22
1.000 Elite
actual D2/3 PPG
Jordan Zalba
Neumann · 2007-08
0.741 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.