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Karsten Kruska Elite Prospects ↗

Position: Forward DOB: 2002-10-08 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
2021-22 Yorkton Terriers SJHL 50 14 18 32 0.640 0.1640 0.1652 0.4743 0.4778
2022-23 Yorkton Terriers SJHL 19 8 13 21 1.105 0.2832 0.2712 0.8191 0.7843
■ 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 Salve Regina D3 CNE GR 23 5 14 19 0.826
2024-25 Salve Regina D3 CNE SR 16 0 3 3 0.188
2023-24 Salve Regina D3 CNE JR 24 2 3 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.21
2023-24 · Salve Regina
+6.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
15%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#17828
Forward overall
#951
Forward born in 2002
#185
in SJHL

D1 Comparables

Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.34 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.35 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.39 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Ben Gamache
Hobart · 2011-12
0.560 Average
actual D2/3 PPG
Alec Hagaman
Wisconsin-River Falls · 2009-10
0.741 Strong
actual D2/3 PPG
Andy Nelson
Bowdoin · 2002-03
0.714 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.