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Matt McNamee Elite Prospects ↗

Position: Defense DOB: 1989-01-20 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
2007-08 — NAHL 29 2 3 5 0.172 0.0633 0.0641 0.1820 0.1843
2008-09 Weyburn Red Wings SJHL 28 1 12 13 0.464 0.1190 0.1154 0.3500 0.3393
2009-10 Weyburn Red Wings SJHL 56 3 19 22 0.393 0.1007 0.0930 0.2962 0.2735
■ 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
2013-14 SUNY Cortland D3 SUNYAC SR 13 0 2 2 0.154
2011-12 SUNY Cortland D3 SUNYAC SO 24 1 3 4 0.167
2010-11 SUNY Cortland D3 SUNYAC FR 25 1 4 5 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.20
2010-11 · SUNY Cortland
+107.7% vs. projection

NCAAe Rankings

#14901
Defenseman overall
#1450
Defenseman born in 1989

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Sean Muller
Wisconsin-River Falls · 2011-12
0.000 No data
actual D2/3 PPG
Andrew McCann
SUNY Cortland · 2017-18
0.680 Strong
actual D2/3 PPG
Max Dronen
Wisconsin-Eau Claire · 2023-24
0.435 Average
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.