IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Mark Goggin Elite Prospects ↗

Position: Forward DOB: 1990-07-29 Country: USA
2008 · Round 7, Pick #197  ·  Boston Bruins Boston Bruins
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
2007-08 USNTDP Juniors NAHL 5 1 1 2 0.400 0.1470 0.1600 0.4222 0.4595
2008-09 Chicago Steel USHL 17 5 4 9 0.529 0.3123 0.3197 1.5900 1.6279
■ 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
2012-13 Dartmouth D1 ECAC — 0 0 0 0 0.000
2011-12 Dartmouth D1 ECAC JR 14 3 3 6 0.429
2010-11 Dartmouth D1 ECAC — 0 0 0 0 0.000
2009-10 Dartmouth D1 ECAC FR 21 4 2 6 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.29
2009-10 · Dartmouth
+30.5% vs. projection

NCAAe Rankings

#13941
Forward overall
#564
Forward born in 1990

D1 Comparables

Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.30 Average
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG
Jarrid Privitera
USHL · 2012-13 · 0.46 PPG
→ Vermont (0.33 D1 FR PPG)
0.28 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.31 Strong
NCAAe PPG

D2/3 Comparables

John Moncovich
Utica · 2016-17
0.864 Strong
actual D2/3 PPG
Caden Smith
Chatham · 2019-20
1.292 Elite
actual D2/3 PPG
Chris Atkinson
Curry · 2005-06
0.962 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.