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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 0.2642 0.2722 0.6525 0.6723
2013-14 Georgetown Raiders OJHL 42 19 30 49 1.167 0.3260 0.3192 0.8051 0.7884
2014-15 Georgetown Raiders OJHL 51 27 44 71 1.392 0.3890 0.3608 0.9608 0.8912
■ 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 SUNY Geneseo D3 — SR 28 7 11 18 0.643
2017-18 SUNY Geneseo D3 — JR 29 5 18 23 0.793
2016-17 SUNY Geneseo D3 — SO 27 4 14 18 0.667
2015-16 SUNY Geneseo D3 — FR 31 9 27 36 1.161
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
1.16
2015-16 · SUNY Geneseo
+294.2% vs. projection

NCAAe Rankings

#7966
Forward overall
#321
Forward born in 1994
#246
in OJHL

D1 Comparables

Beau Walker
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.42 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.45 Developing
NCAAe PPG

D2/3 Comparables

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
Matt Boyd
St. Norbert · 2005-06
1.033 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.