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Paul DeNaples Elite Prospects ↗

Position: Defense DOB: 1998-09-19 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
2015-16 Wilkes-Barre/Scranton Knights NAHL 51 3 11 14 0.275 0.1009 0.1118 0.2901 0.3216
2016-17 Sioux Falls Stampede USHL 55 7 10 17 0.309 0.1823 0.1865 0.9275 0.9490
2017-18 Sioux Falls Stampede USHL 55 2 2 4 0.073 0.0429 0.0418 0.2182 0.2124
■ 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
2022-23 Penn State D1 BigTen GR 39 3 7 10 0.256
2021-22 Penn State D1 BigTen SR 38 2 6 8 0.210
2020-21 Penn State D1 BigTen JR 22 0 1 1 0.045
2019-20 Penn State D1 BigTen SO 34 3 8 11 0.324
2018-19 Penn State D1 BigTen FR 39 2 12 14 0.359
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.36
2018-19 · Penn State
+281.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
68%
Pro / Other

NCAAe Rankings

#16442
Defenseman overall
#2499
Defenseman born in 1998

D1 Comparables

Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Mario Mjelleli
Augsburg · 2005-06
0.600 Average
actual D2/3 PPG
Jake Zeleznikar
Concordia · 2013-14
0.615 Average
actual D2/3 PPG
Noel Rahn
Saint John's · 2021-22
0.000 No data
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.