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Anthony Marra Elite Prospects ↗

Position: Forward DOB: 1994-09-04 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
2012-13 Georgetown Raiders OJHL 55 15 37 52 0.946 0.2317 0.2387 0.6510 0.6708
2013-14 Georgetown Raiders OJHL 42 19 30 49 1.167 0.2860 0.2801 0.8033 0.7866
2014-15 Georgetown Raiders OJHL 51 27 44 71 1.392 0.3412 0.3165 0.9585 0.8891
■ 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
2018-19 Geneseo D1 — SR 28 7 11 18 0.643
2018-19 SUNY Geneseo D3 SUNYAC SR 28 7 11 18 0.643
2017-18 SUNY Geneseo D3 SUNYAC JR 29 5 18 23 0.793
2016-17 SUNY Geneseo D3 SUNYAC SO 27 4 14 18 0.667
2015-16 SUNY Geneseo D3 SUNYAC FR 31 9 27 36 1.161
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
1.16
2015-16 · SUNY Geneseo
+349.2% vs. projection

NCAAe Rankings

#11146
Forward overall
#488
Forward born in 1994
#212
in OJHL

D1 Comparables

Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Joe Birmingham
Connecticut College · 2011-12
0.769 Strong
actual D2/3 PPG
Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Grant Everett
Wisconsin-River Falls · 2007-08
0.708 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.