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Joe Harren Elite Prospects ↗

Position: Forward DOB: 1988-04-18 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
2006-07 — NAHL 49 4 8 12 0.245 0.0900 0.0921 0.2585 0.2646
2007-08 — NAHL 42 7 6 13 0.309 0.1137 0.1108 0.3267 0.3184
2008-09 North Iowa Outlaws NAHL 54 14 27 41 0.759 0.2790 0.2581 0.8014 0.7413
■ 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 Saint John's D3 MIAC SR 20 2 7 9 0.450
2011-12 Saint John's D3 MIAC JR 21 7 0 7 0.333
2010-11 Saint John's D3 MIAC SO 25 9 10 19 0.760
2009-10 Saint John's D3 MIAC FR 19 4 4 8 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.42
2009-10 · Saint John's
+147.0% vs. projection

NCAAe Rankings

#28243
Forward overall
#961
Forward born in 1988
#2458
in NAHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Andrew Kimball
Lake Forest · 2021-22
0.667 Strong
actual D2/3 PPG
Vadim Vasjonkin
Buffalo State · 2016-17
0.889 Strong
actual D2/3 PPG
Matthew Monreal
Southern New Hampshire · 2018-19
0.450 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.