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Jason Bilski Elite Prospects ↗

Position: Forward DOB: 1997-07-31 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
2016-17 Islanders Hockey Club USPHL-Elite 33 9 14 23 0.697 0.0643 0.0638 0.1596 0.1582
2017-18 Islanders Hockey Club USPHL-Premier 40 22 15 37 0.925 0.1210 0.1143 0.3139 0.2964
■ 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
2019-20 Castleton D1 LittleEast SO 7 2 1 3 0.429
2019-20 Castleton D3 LittleEast — 7 2 1 3 0.429
2018-19 Castleton D1 LittleEast FR 20 4 2 6 0.300
2018-19 Castleton D3 LittleEast — 20 4 2 6 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.30
2018-19 · Castleton
+272.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#24035
Forward overall
#1090
Forward born in 1997

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Taylor Brierley
Wilkes · 2016-17
1.042 Elite
actual D2/3 PPG
Tyler Samodral
Chatham · 2023-24
0.593 Average
actual D2/3 PPG
Sean Lang
Saint John's · 2014-15
0.520 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.