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Jack Silich Elite Prospects ↗

Position: Forward DOB: 2003-06-20 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
2019-20 Boston Jr. Bruins NCDC 43 8 7 15 0.349 0.1422 0.1422
2020-21 Youngstown Phantoms USHL 49 6 11 17 0.347 0.2046 0.2046 1.0419 1.0419
2021-22 USHL 57 6 3 9 0.158 0.0931 0.0939 0.4742 0.4784
2022-23 Cranbrook Bucks BCHL 54 24 20 44 0.815 0.3139 0.3073 1.1858 1.1610
2023-24 Cranbrook Bucks BCHL 41 12 7 19 0.463 0.1785 0.1666 0.6744 0.6294
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 Ferris State D1 CCHA 25 3 3 6 0.240
2024-25 Ferris State D1 CCHA 20 3 3 6 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
Actual FR PPG
0.30
2024-25 · Ferris State
+57.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
25%
NCAA D2/D3
38%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#28845
Forward overall
#1666
Forward born in 2003

D1 Comparables

USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Babson · 2021-22
0.440 Average
actual D2/3 PPG
Fitchburg State · 2017-18
0.286 Developing
actual D2/3 PPG
Augsburg · 2014-15
0.560 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.