IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Nick Bowlin Elite Prospects ↗

Position: Forward DOB: 1999-11-04 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
2018-19 Mason City Toros NA3HL 36 6 19 25 0.694 0.0837 0.0836 0.2194 0.2191
2019-20 Mason City Toros NA3HL 47 11 30 41 0.872 0.1051 0.1051 0.2756 0.2756
■ 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
2023-24 Concordia D3 MIAC — 19 2 2 4 0.210
2023-24 Concordia Wisconsin D3 NCHA SR 18 2 2 4 0.222
2022-23 Concordia D3 MIAC — 25 5 7 12 0.480
2022-23 Concordia Wisconsin D3 NCHA JR 23 5 7 12 0.522
2021-22 Wisconsin-Stout D3 WIAC SO 11 3 2 5 0.455
2020-21 Wisconsin-Stout D3 BigTen FR 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
52%
Other

NCAAe Rankings

#39086
Forward overall
#1886
Forward born in 1999
#1279
in NA3HL

D1 Comparables

Conor Lemirande
NAHL · 2012-13 · 0.39 PPG
→ Miami (0.08 D1 FR PPG)
0.15 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.15 No data
NCAAe PPG
Erik Baskin
NAHL · 2012-13 · 0.44 PPG
→ Air Force (0.66 D1 FR PPG)
0.16 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.18 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG

D2/3 Comparables

Pat Twombly
UMass Dartmouth · 2016-17
0.000 No data
actual D2/3 PPG
Josh Smith
Bethel · 2013-14
0.000 No data
actual D2/3 PPG
Alec Lefave
Plymouth State · 2014-15
0.318 Developing
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.