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Daniel Carr Elite Prospects ↗

Position: Forward DOB: 1991-11-01 Country: Canada
No commitment set

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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 St. Albert Steel AJHL 62 16 11 27 0.435 0.1461 0.1672 0.4030 0.4612
2008-09 St. Albert Steel AJHL 57 27 28 55 0.965 0.3236 0.3569 0.8929 0.9847
2009-10 St. Albert Steel AJHL 30 24 30 54 1.800 0.6037 0.6349 1.6657 1.7518
■ 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 Union D1 ECAC SR 39 22 28 50 1.282
2012-13 Union D1 ECAC JR 40 16 16 32 0.800
2011-12 Union D1 ECAC SO 41 20 20 40 0.976
2010-11 Union D1 ECAC FR 40 20 15 35 0.875
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.49
before college
→
Actual FR PPG
0.88
2010-11 · Union
+79.5% vs. projection

NCAAe Rankings

#6595
Forward overall
#285
Forward born in 1991

D1 Comparables

Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.66 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.73 Elite
NCAAe PPG
Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.63 Average
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.61 Developing
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG

D2/3 Comparables

Ryan Bloom
University of New England · 2010-11
1.654 Elite
actual D2/3 PPG
Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Gage Dill
Curry · 2018-19
1.000 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.