IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Blake Kashark Elite Prospects ↗

Position: Forward DOB: 2003-12-14 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
2021-22 Brooklyn Aviators USPHL-Premier 37 12 18 30 0.811 0.1091 0.1159 0.2760 0.2933
2022-23 Brooklyn Aviators USPHL-Premier 38 13 15 28 0.737 0.0992 0.1005 0.2508 0.2542
2023-24 Connecticut Jr. Rangers USPHL-Premier 42 40 39 79 1.881 0.2532 0.2444 0.6403 0.6181
■ 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 UMass Dartmouth D3 — SO 20 3 2 5 0.250
2024-25 UMass Dartmouth D3 — FR 15 3 3 6 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.40
2024-25 · UMass Dartmouth
+150.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D2/D3
2%
Club / ACHA
2%
Other

NCAAe Rankings

#24200
Forward overall
#1045
Forward born in 2003
#398
in USPHL-Premier

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Jason Fransky
Elmira · 2005-06
0.000 No data
actual D2/3 PPG
Dalton Carter
Utica · 2013-14
0.692 Strong
actual D2/3 PPG
Jake Russo
Elmira · 2018-19
0.360 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.