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Ryker Lee Elite Prospects ↗

Position: Forward DOB: 2006-11-08 Country: USA
2025 NHL Draft Round 1, Pick #26  ·  Nashville Predators Nashville Predators
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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 Madison Capitols USHL 2 1 1 2 1.000 0.6147 0.6618 2.9462 3.1717
2024-25 Madison Capitols USHL 58 31 37 68 1.172 0.7207 0.7391 3.4541 3.5423
■ 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 Michigan D1 BigTen — 35 15 15 30 0.857
2025-26 Michigan State D1 BigTen FR 35 15 15 30 0.857
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.66
before college
→
Actual FR PPG
0.86
2025-26 · Michigan
+30.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

#2804
Forward overall
#21
Forward born in 2006
#49
in USHL

D1 Comparables

Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.69 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.76 Elite
NCAAe PPG
Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.65 Average
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.71 Strong
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.63 Developing
NCAAe PPG

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.