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Eric Simmons Elite Prospects ↗

Position: Forward DOB: 1986-09-25 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
2003-04 Buffalo Lightning OJHL 47 5 9 14 0.298 0.0895 0.0949 0.2039 0.2162
2004-05 Buffalo Lightning OJHL 48 10 15 25 0.521 0.1564 0.1579 0.3565 0.3600
2005-06 Buffalo Lightning OJHL 49 11 19 30 0.612 0.1839 0.1789 0.4191 0.4078
■ 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
2009-10 Colby D3 — SR 14 0 0 0 0.000
2008-09 Colby D3 — JR 8 1 1 2 0.250
2007-08 Colby D3 — SO 19 4 4 8 0.421
2006-07 Colby D3 — FR 23 3 4 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.30
2006-07 · Colby
+108.6% vs. projection

NCAAe Rankings

#35949
Forward overall
#1142
Forward born in 1986
#2582
in OJHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.17 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Niko Benjamin
Norwich · 2023-24
0.586 Average
actual D2/3 PPG
Andrew Love
Neumann · 2007-08
0.650 Strong
actual D2/3 PPG
Kevin Paganini
Milwaukee School of Engineering · 2018-19
0.625 Average
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.