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

Jared Smith Elite Prospects ↗

Position: Forward DOB: 1999-04-21 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
2018-19 Rochester Monarchs NCDC 42 5 10 15 0.357 0.1006 0.0989 0.2891 0.2843
2019-20 Rochester Monarchs NCDC 46 7 16 23 0.500 0.1409 0.1409 0.4048 0.4048
■ 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
2023-24 Elmira D3 UCHC SR 29 8 9 17 0.586
2022-23 Elmira D3 UCHC JR 15 1 4 5 0.333
2021-22 Elmira D3 UCHC SO 25 5 16 21 0.840
2020-21 Elmira D3 UCHC FR 15 3 11 14 0.933
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.93
2020-21 · Elmira
+1001.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
48%
Other

NCAAe Rankings

#32605
Forward overall
#1471
Forward born in 1999
#763
in NCDC

D1 Comparables

Mike Robinson
OHL · 2012-13 · 0.19 PPG
→ New Hampshire
0.11 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.14 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Sami Salminen
NAHL · 2012-13 · 0.56 PPG
→ Northern Michigan (0.34 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Bailey Conklin
Canton · 2017-18
0.375 Average
actual D2/3 PPG
Jacob McPartland
Saint John's · 2022-23
0.286 Developing
actual D2/3 PPG
Nick Rutigliano
Hamilton · 2015-16
0.680 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.