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Josh Erickson Elite Prospects ↗

Position: Forward DOB: 1993-07-16 Country: USA

Set Commitment

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Detected conference: () — projections will update automatically.

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Projecting as:

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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	0.1410	0.1425	0.7181	0.7260
2012-13	Sioux City Musketeers	USHL	43	4	5	9	0.209	0.1235	0.1183	0.6286	0.6020

■ 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
2016-17	Alaska Fairbanks	D1	WCHA	SR	31	4	4	8	0.258
2015-16	Alaska Fairbanks	D1	WCHA	JR	36	3	5	8	0.222
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

+23.3% vs. projection

NCAAe Rankings

#39424

Forward overall

#1428

Forward born in 1993

#3460

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)

0.19 Developing

NCAAe PPG

Matt Pohlkamp

USHL · 2012-13 · 0.33 PPG

→ Bowling Green (0.41 D1 FR PPG)

0.19 Average

NCAAe PPG

Conor Andrle

USHL · 2012-13 · 0.20 PPG

→ Army (0.53 D1 FR PPG)

0.11 Average

NCAAe PPG

D2/3 Comparables

Cole Gibson

Milwaukee School of Engineering · 2009-10

1.038 Elite

actual D2/3 PPG

James Tatro

Salem State · 2022-23

1.269 Elite

actual D2/3 PPG

Alex Porrier

Johnson & Wales · 2009-10

0.654 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.