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Sam McCormick Elite Prospects ↗

Position: Forward DOB: 1997-02-20 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
2013-14 Sioux City Musketeers USHL 1 0 0 0 0.000 — — — —
2014-15 Madison Capitols USHL 60 15 16 31 0.517 0.3048 0.3175 1.5505 1.6153
2015-16 — USHL 61 32 25 57 0.934 0.5512 0.5486 2.8039 2.7909
■ 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
2019-20 Ohio State D1 BigTen SR 36 1 3 4 0.111
2018-19 Ohio State D1 BigTen JR 25 1 3 4 0.160
2017-18 Ohio State D1 BigTen SO 26 2 5 7 0.269
2016-17 Ohio State D1 BigTen FR 14 1 2 3 0.214
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.21
2016-17 · Ohio State
-45.1% vs. projection

NCAAe Rankings

#6748
Forward overall
#326
Forward born in 1997
#528
in USHL

D1 Comparables

Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.54 Developing
NCAAe PPG
Frank Vatrano
NTDP-U18 · 2012-13 · 0.80 PPG
→ UMass
0.55 No data
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.56 Strong
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.64 Average
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2017-18
1.667 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 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.