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Daniel McNamara Elite Prospects ↗

Position: Forward DOB: 1992-10-13 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
2010-11 Waterloo Black Hawks USHL 43 4 1 5 0.116 0.0686 0.0700 0.3493 0.3562
2011-12 Georgetown Raiders OJHL 30 7 11 18 0.600 0.1471 0.1450 — —
2012-13 Chicago Steel USHL 30 2 4 6 0.200 0.1180 0.1086 0.6007 0.5526
■ 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
2016-17 Saint John's D3 MIAC SR 23 4 8 12 0.522
2015-16 Saint John's D3 MIAC JR 25 2 6 8 0.320
2014-15 Saint John's D3 MIAC SO 23 4 6 10 0.435
2013-14 Saint John's D3 MIAC FR 23 3 8 11 0.478
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.48
2013-14 · Saint John's
+353.8% vs. projection

NCAAe Rankings

#33374
Forward overall
#1259
Forward born in 1992
#3069
in USHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Jonathan Grebosky
Concordia · 2013-14
0.769 Strong
actual D2/3 PPG
Zac Sikich
SUNY Brockport · 2013-14
0.440 Average
actual D2/3 PPG
Carter Krenke
Saint John's · 2024-25
0.704 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.