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C.J. Smith Elite Prospects ↗

Position: Forward DOB: 1994-12-01 Country: USA
Signed Professionally
Barys Astana · KHL

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 Austin Bruins NAHL 53 13 14 27 0.509 0.1891 0.2109 0.5394 0.6017
2012-13 Austin Bruins NAHL 60 30 29 59 0.983 0.3651 0.3889 1.0411 1.1091
2013-14 — USHL 59 27 18 45 0.763 0.4857 0.4759 2.2856 2.2394
2023-24 JYP Liiga 33 8 12 20 0.606 — — — —
2024-25 Barys Astana KHL 9 0 0 0 0.000 — — — —
■ 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
2018-19 Wisconsin-River Falls D3 BigTen FR 11 0 2 2 0.182
2016-17 UMass Lowell D1 HockeyEast JR 41 23 28 51 1.244
2015-16 UMass Lowell D1 HockeyEast SO 40 17 22 39 0.975
2014-15 UMass Lowell D1 HockeyEast FR 39 16 19 35 0.897
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.90
2014-15 · UMass Lowell
+137.7% vs. projection

NCAAe Rankings

#6147
Forward overall
#252
Forward born in 1994

D1 Comparables

Joe Gambardella
USHL · 2012-13 · 0.75 PPG
→ UMass Lowell (0.32 D1 FR PPG)
0.47 Developing
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.49 Developing
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota State (0.33 D1 FR PPG)
0.51 Developing
NCAAe PPG
Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.54 Strong
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.40 Average
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2017-18
1.448 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 Elite
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.