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JoJo Bojanowski Elite Prospects ↗

Position: Forward DOB: 1987-09-10 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
2004-05 New England Jr. Huskies EJHL 4 0 0 0 0.000 — — — —
2005-06 — OJHL 45 18 19 37 0.822 0.2015 0.2057 0.5661 0.5779
2006-07 Markham Waxers OJHL 47 7 14 21 0.447 0.1095 0.1063 0.3076 0.2986
■ 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
2010-11 Nichols D3 CNE SR 26 8 9 17 0.654
2009-10 Nichols D3 CNE JR 16 4 1 5 0.312
2008-09 Nichols D3 CNE SO 28 3 12 15 0.536
2007-08 Nichols D3 CNE FR 17 6 7 13 0.765
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.76
2007-08 · Nichols
+511.8% vs. projection

NCAAe Rankings

#31527
Forward overall
#1013
Forward born in 1987

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Ryan Parent
Alvernia · 2022-23
0.000 No data
actual D2/3 PPG
Tyler Pionk
Western New England · 2011-12
0.000 No data
actual D2/3 PPG
Jaret Babych
UMass Dartmouth · 2013-14
0.667 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.