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Charlie Lurie Elite Prospects ↗

Position: Forward DOB: 2003-03-11 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 Fargo Force USHL 4 0 0 0 0.000 — — — —
2021-22 — USHL 61 15 24 39 0.639 0.3771 0.3752 1.9201 1.9105
2022-23 — USHL 57 15 14 29 0.509 0.3001 0.2830 1.5281 1.4411
■ 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 Minnesota State D1 CCHA JR 13 3 1 4 0.308
2024-25 Nebraska Omaha D1 NCHC — 20 4 6 10 0.500
2023-24 Nebraska Omaha D1 NCHC — 4 0 1 1 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.25
2023-24 · Nebraska Omaha
-8.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
12%
NCAA D2/D3
18%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#12418
Forward overall
#577
Forward born in 2003
#1152
in USHL

D1 Comparables

Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG

D2/3 Comparables

Andrew Bellant
Adrian · 2016-17
1.462 Elite
actual D2/3 PPG
Conlan Keenan
SUNY Geneseo · 2014-15
1.296 Elite
actual D2/3 PPG
Tim Schneider
Middlebury · 2001-02
1.310 Elite
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.