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Jimmy Cusan Elite Prospects ↗

Position: Forward DOB: 1994-09-08 Country: Canada
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
2010-11 Oakville Blades OJHL 4 0 2 2 0.500 0.1502 0.1690 0.3422 0.3849
2011-12 Mississauga Chargers OJHL 49 19 19 38 0.775 0.2330 0.2518 0.5308 0.5737
2012-13 — OJHL 51 13 15 28 0.549 0.1649 0.1700 0.3758 0.3874
■ 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 Lake Forest D3 NCHA SR 25 5 2 7 0.280
2015-16 Lake Forest D3 NCHA JR 24 6 5 11 0.458
2014-15 Lake Forest D3 NCHA SO 18 5 1 6 0.333
2013-14 Lake Forest D3 NCHA FR 9 2 1 3 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.33
2013-14 · Lake Forest
+92.1% vs. projection

NCAAe Rankings

#29309
Forward overall
#1111
Forward born in 1994
#1875
in OJHL

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan (0.25 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Zach Aston-Reese
USHL · 2012-13 · 0.50 PPG
→ Northeastern (0.54 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Tanner Spink
SUNY Oswego · 2014-15
0.591 Average
actual D2/3 PPG
Zac Sikich
SUNY Brockport · 2011-12
0.440 Average
actual D2/3 PPG
Nathan Solis
Saint Mary's (MN) · 2018-19
0.368 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.