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Alec Marsh Elite Prospects ↗

Position: Forward DOB: 1995-11-28 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
2012-13 Cedar Rapids RoughRiders USHL 40 4 7 11 0.275 0.1751 0.1884 0.8241 0.8869
2013-14 Cedar Rapids RoughRiders USHL 58 16 17 33 0.569 0.3623 0.3729 1.7051 1.7551
2014-15 — USHL 49 8 20 28 0.571 0.3639 0.3567 1.7123 1.6784
■ 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 Penn State D1 BigTen SR 34 7 7 14 0.412
2017-18 Penn State D1 BigTen JR 35 2 7 9 0.257
2016-17 Penn State D1 BigTen SO 26 6 4 10 0.385
2015-16 Penn State D1 BigTen FR 37 7 14 21 0.568
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.57
2015-16 · Penn State
+82.6% vs. projection

NCAAe Rankings

#9119
Forward overall
#319
Forward born in 1995
#1453
in USHL

D1 Comparables

Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.35 Strong
NCAAe PPG
A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.34 Developing
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.40 Average
NCAAe PPG
Joe Cox
USHL · 2012-13 · 0.65 PPG
→ Michigan State (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Bud Winter
Saint Mary's · 2017-18
1.091 Elite
actual D2/3 PPG
Ryan Busby
SUNY Plattsburgh · 2002-03
0.903 Strong
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2013-14
1.080 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.