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Cutler Martin Elite Prospects ↗

Position: Defense DOB: 1994-07-20 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
2011-12 Tri-City Storm USHL 6 0 0 0 0.000 — — — —
2012-13 Tri-City Storm USHL 59 4 12 16 0.271 0.1727 0.1741 0.8127 0.8194
2013-14 Tri-City Storm USHL 23 1 5 6 0.261 0.1661 0.1597 0.7818 0.7517
■ 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 Michigan D1 BigTen SR 16 1 1 2 0.125
2016-17 Michigan D1 BigTen JR 31 5 0 5 0.161
2015-16 Michigan D1 BigTen SO 35 2 11 13 0.371
2014-15 Michigan D1 BigTen FR 32 6 9 15 0.469
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.47
2014-15 · Michigan
+200.1% vs. projection

NCAAe Rankings

#5798
Defenseman overall
#987
Defenseman born in 1994
#3198
in USHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.21 Average D
NCAAe PPG
Nick Neville
NAHL · 2012-13 · 0.58 PPG
→ Denver (0.10 D1 FR PPG)
0.21 Developing D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Tyler Flack
SUNY Oswego · 2018-19
0.895 Strong
actual D2/3 PPG
Shawn Hulshof
SUNY Oswego · 2012-13
0.870 Strong
actual D2/3 PPG
Matthew Manning
Worcester State · 2015-16
0.750 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.