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Jacob Cossette Elite Prospects ↗

Position: Forward DOB: 2004-05-20 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
2021-22 La Ronge Ice Wolves SJHL 1 1 0 1 1.000 0.3046 0.3315 0.7411 0.8065
2022-23 La Ronge Ice Wolves SJHL 28 9 9 18 0.643 0.1958 0.2033 0.4765 0.4947
2023-24 La Ronge Ice Wolves SJHL 56 14 18 32 0.571 0.1740 0.1724 0.4235 0.4196
2024-25 La Ronge Ice Wolves SJHL 54 13 28 41 0.759 0.2313 0.2168 0.5627 0.5273
■ 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
2025-26 Niagara ACHA_D1 — — 28 10 8 18 0.643
2024-25 Niagara ACHA_D1 — — 28 10 8 18 0.643
2023-24 Niagara ACHA_D1 — — 28 10 8 18 0.643
2022-23 Niagara ACHA_D1 — — 28 10 8 18 0.643
2021-22 Niagara ACHA_D1 — — 28 10 8 18 0.643
2020-21 Niagara ACHA_D1 — — 28 10 8 18 0.643

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#28466
Forward overall
#1664
Forward born in 2004
#645
in SJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Josh Zizek
SUNY Oswego · 2015-16
0.667 Strong
actual D2/3 PPG
Brendan Kennedy
Babson · 2021-22
0.696 Strong
actual D2/3 PPG
Colin Phaneuf
St. Scholastica · 2010-11
0.400 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.