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Riley Klugerman Elite Prospects ↗

Position: Forward DOB: 2002-12-12 Country: Canada
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
2021-22 Hearst Lumberjacks NOJHL 44 12 23 35 0.795 0.1341 0.1331 0.3305 0.3280
2022-23 Hearst Lumberjacks NOJHL 55 28 35 63 1.145 0.1931 0.1834 0.4760 0.4520
■ 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 Concordia D3 MIAC GR 26 8 16 24 0.923
2025-26 Concordia Wisconsin D3 NCHA JR 26 8 16 24 0.923
2024-25 Concordia D3 MIAC SR 27 3 12 15 0.556
2024-25 Concordia Wisconsin D3 NCHA SO 27 3 12 15 0.556
2023-24 Concordia D3 MIAC JR 23 3 18 21 0.913
2023-24 Concordia Wisconsin D3 NCHA FR 23 3 18 21 0.913
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.91
2023-24 · Concordia
+553.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
35%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#24552
Forward overall
#1011
Forward born in 2002
#153
in NOJHL

D1 Comparables

Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Connor Roach
SUNY Brockport · 2022-23
0.421 Average
actual D2/3 PPG
Colton Friesen
Wisconsin-Superior · 2021-22
0.759 Strong
actual D2/3 PPG
Johnny Meo
Wisconsin-Stevens Point · 2008-09
0.750 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.