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Bart Moran Elite Prospects ↗

Position: Forward DOB: 1992-12-07 Country: Canada
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 Olds Grizzlys AJHL 58 11 18 29 0.500 0.1677 0.1768 0.4627 0.4878
2011-12 Olds Grizzlys AJHL 57 12 22 34 0.597 0.2001 0.2008 0.5520 0.5539
2012-13 Olds Grizzlys AJHL 51 11 24 35 0.686 0.2302 0.2192 0.6351 0.6047
■ 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 Castleton D3 LittleEast SR 27 10 7 17 0.630
2015-16 Castleton D3 LittleEast JR 25 7 5 12 0.480
2014-15 Castleton D3 LittleEast SO 26 2 6 8 0.308
2013-14 Castleton D3 LittleEast FR 25 7 7 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.56
2013-14 · Castleton
+208.9% vs. projection

NCAAe Rankings

#27869
Forward overall
#1038
Forward born in 1992
#833
in AJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Dean Balsamo
Adrian · 2015-16
0.688 Strong
actual D2/3 PPG
Marc Harrie
Concordia · 2007-08
0.800 Strong
actual D2/3 PPG
Hunter Stewart
Marian · 2013-14
0.741 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.