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Jimmy Jurcev Elite Prospects ↗

Position: Defense DOB: 2003-05-05 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
2020-21 New Mexico Ice Wolves NAHL 44 0 6 6 0.136 0.0484 0.0484 0.1432 0.1432
2021-22 New Mexico Ice Wolves NAHL 47 1 11 12 0.255 0.0907 0.0946 0.2680 0.2796
2022-23 Lincoln Stars USHL 39 2 5 7 0.179 0.1059 0.1007 0.5288 0.5026
2023-24 Lincoln Stars USHL 13 0 3 3 0.231 0.1361 0.1226 0.6800 0.6126
■ 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 Notre Dame D1 BigTen SO 37 0 5 5 0.135
2024-25 Notre Dame D1 BigTen — 31 1 3 4 0.129
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.13
2024-25 · Notre Dame
+20.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
22%
NCAA D2/D3
60%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#13738
Defenseman overall
#2663
Defenseman born in 2003

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Brendan Dicker
Arcadia · 2021-22
0.542 Average
actual D2/3 PPG
Joe Watson
Utica · 2003-04
0.714 Strong
actual D2/3 PPG
Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 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.