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Jake Russo Elite Prospects ↗

Position: Forward DOB: 1998-12-22 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 Philadelphia Revolution EHL 48 8 35 43 0.896 0.1922 0.1982 0.4387 0.4524
2018-19 Philadelphia Revolution EHL 41 28 42 70 1.707 0.3664 0.3595 0.8361 0.8204
■ 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
2022-23 Elmira D3 UCHC SR 25 4 12 16 0.640
2021-22 Elmira D3 UCHC JR 25 4 6 10 0.400
2020-21 Elmira D3 UCHC SO 14 5 8 13 0.929
2019-20 Elmira D3 UCHC FR 25 4 5 9 0.360
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.36
2019-20 · Elmira
+42.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D2/D3
0%
Club / ACHA
10%
Other

NCAAe Rankings

#10871
Forward overall
#365
Forward born in 1998
#29
in EHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.44 Strong
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG

D2/3 Comparables

Kevin Van Bokkelen
Lebanon Valley · 2016-17
0.550 Average
actual D2/3 PPG
Austin Miller
UMass Dartmouth · 2017-18
0.963 Strong
actual D2/3 PPG
Tyler Barrow
Wilkes · 2017-18
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.