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Caden Olenczak Elite Prospects ↗

Position: Defense DOB: 2004-05-25 Country: USA
No commitment set

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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
2021-22 The Hill School NE-Prep 25 1 2 3 0.120 0.0231 0.0231 0.0549 0.0549
2023-24 New Jersey Rockets NCDC 52 4 16 20 0.385 0.0889 0.0884 0.3110 0.3091
2024-25 Johnstown Tomahawks NAHL 58 6 30 36 0.621 0.2205 0.2088 0.6517 0.6170
■ 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 Amherst D3 NESCAC FR 25 5 1 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.24
2025-26 · Amherst
+58.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
8%
NCAA D2/D3
38%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#7413
Defenseman overall
#1781
Defenseman born in 2004

D1 Comparables

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
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 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

Matthew Lison
Bowdoin · 2013-14
1.083 Elite
actual D2/3 PPG
Brendan Dicker
Arcadia · 2021-22
0.542 Average
actual D2/3 PPG
Mathieu MacMillan
Utica · 2024-25
0.474 Average
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.