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

Marshal Plunkett Elite Prospects ↗

Position: Defense DOB: 1998-10-31 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
2015-16 Fairbanks Ice Dogs NAHL 38 1 3 4 0.105 0.0387 0.0431 0.1111 0.1238
2016-17 Coulee Region Chill NAHL 53 8 22 30 0.566 0.2079 0.2203 0.5974 0.6332
2017-18 Coulee Region Chill NAHL 50 11 21 32 0.640 0.2351 0.2375 0.6755 0.6825
■ 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
2021-22 Army D1 AHA SR 33 2 13 15 0.455
2020-21 Army D1 AHA JR 5 0 0 0 0.000
2019-20 Army D1 AHA SO 17 0 3 3 0.176
2018-19 Army D1 AHA FR 33 2 3 5 0.151
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.15
2018-19 · Army
-30.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#6904
Defenseman overall
#1393
Defenseman born in 1998
#2489
in NAHL

D1 Comparables

Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.29 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG

D2/3 Comparables

Adam Valadao
Curry · 2012-13
0.727 Strong
actual D2/3 PPG
Taylor Pryce
Buffalo State · 2011-12
0.875 Strong
actual D2/3 PPG
Shane Avery
Buffalo State · 2008-09
0.700 Strong
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.