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Josh Erickson Elite Prospects ↗

Position: Forward DOB: 1993-07-16 Country: USA
SUNY Fredonia
SUNYAC D3

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
2011-12 Sioux City Musketeers USHL 46 6 5 11 0.239 0.1470 0.1486 0.7044 0.7121
2012-13 Sioux City Musketeers USHL 43 4 5 9 0.209 0.1287 0.1233 0.6166 0.5906
■ 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 Canton D1 — — 0 122 829 951 0.000
2018-19 Canton D3 — SR 0 122 829 951 0.000
2017-18 Canton D3 — JR 0 118 825 943 0.000
2016-17 Alaska Fairbanks D1 WCHA SR 31 4 4 8 0.258
2016-17 Canton D3 — SO 0 111 777 888 0.000
2015-16 Alaska Fairbanks D1 WCHA JR 36 3 5 8 0.222
2015-16 Canton D3 — FR 0 73 448 521 0.000
2014-15 Alaska Fairbanks D1 WCHA SO 20 3 1 4 0.200
2013-14 Alaska Fairbanks D1 WCHA — 37 2 3 5 0.135
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.14
2013-14 · Alaska Fairbanks
+18.3% vs. projection

NCAAe Rankings

#39251
Forward overall
#1406
Forward born in 1993
#3492
in USHL

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.12 Average
NCAAe PPG

D2/3 Comparables

Austin Morgan
New England · 2016-17
0.714 Strong
actual D2/3 PPG
Jake Nelson
St. Scholastica · 2003-04
0.800 Strong
actual D2/3 PPG
Paul Conter
Southern Maine · 2005-06
0.864 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.