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Grant Silianoff Elite Prospects ↗

Position: Forward DOB: 2001-01-04 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
2017-18 Cedar Rapids RoughRiders USHL 2 1 1 2 1.000 0.6368 0.6930 2.9967 3.2612
2018-19 Cedar Rapids RoughRiders USHL 55 18 23 41 0.746 0.4747 0.4921 2.2340 2.3158
2019-20 Cedar Rapids RoughRiders USHL 43 14 18 32 0.744 0.4739 0.4739 2.2301 2.2301
■ 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
2024-25 Notre Dame D1 BigTen GR 38 5 3 8 0.210
2023-24 Notre Dame D1 BigTen SR 28 4 7 11 0.393
2022-23 Notre Dame D1 BigTen JR 33 3 6 9 0.273
2021-22 Notre Dame D1 BigTen SO 32 5 13 18 0.562
2020-21 Notre Dame D1 BigTen FR 28 4 4 8 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.53
before college
→
Actual FR PPG
0.29
2020-21 · Notre Dame
-46.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
0%
NCAA D2/D3
15%
Pro / Other

NCAAe Rankings

#3271
Forward overall
#81
Forward born in 2001
#487
in USHL

D1 Comparables

Tyler Kelleher
USHL · 2012-13 · 0.73 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.48 Average
NCAAe PPG
John Hayden
NTDP-U18 · 2012-13 · 0.64 PPG
→ Yale (0.48 D1 FR PPG)
0.49 Average
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.55 Developing
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.39 Elite
NCAAe PPG
Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.52 Average
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
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.