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

Clint Lewis Elite Prospects ↗

Position: Defense DOB: 1995-01-12 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
2011-12 U.S. National U17 Team NTDP-U18 55 1 3 4 0.073 0.0578 0.0585 0.2723 0.2757
2012-13 U.S. National U18 Team NTDP-U18 56 0 9 9 0.161 0.1278 0.1227 0.6019 0.5779
2014-15 Sioux Falls Stampede USHL 52 4 11 15 0.288 0.1837 0.1720 0.8645 0.8095
■ 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
2017-18 Minnesota State D1 WCHA SR 37 0 7 7 0.189
2016-17 Minnesota State D1 WCHA JR 39 3 12 15 0.385
2015-16 Minnesota State D1 WCHA SO 6 0 1 1 0.167
2013-14 Cornell D1 ECAC FR 32 1 1 2 0.062
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.06
2013-14 · Cornell
-31.8% vs. projection

NCAAe Rankings

#5514
Defenseman overall
#950
Defenseman born in 1995

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.16 No data
NCAAe PPG
Geoff Fortman
NAHL · 2012-13 · 0.50 PPG
→ Canisius (0.10 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Garret Peterson
NAHL · 2012-13 · 0.35 PPG
→ Army (0.07 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG

D2/3 Comparables

Billy Foulds
Manhattanville · 2000-01
0.640 Average
actual D2/3 PPG
Anthony Pickering
Concordia Wisconsin · 2013-14
0.809 Strong
actual D2/3 PPG
Kevin Van Bokkelen
Lebanon Valley · 2016-17
0.550 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.