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Jacob Jeannette Elite Prospects ↗

Position: Forward DOB: 2002-12-13 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 Waterloo Black Hawks USHL 23 3 4 7 0.304 0.1871 0.1871 0.8965 0.8965
2020-21 Waterloo Black Hawks USHL 39 5 6 11 0.282 0.1734 0.1734 0.8311 0.8311
2021-22 Waterloo Black Hawks USHL 46 8 15 23 0.500 0.3074 0.3022 1.4731 1.4480
2022-23 — USHL 57 5 12 17 0.298 0.1833 0.1707 0.8786 0.8180
■ 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 Union D1 ECAC JR 18 4 3 7 0.389
2024-25 Union D1 ECAC SR 29 2 3 5 0.172
2023-24 Union D1 ECAC JR 33 0 7 7 0.212
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.21
2023-24 · Union
+11.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
15%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#25120
Forward overall
#1405
Forward born in 2002
#2469
in USHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Kevin Van Bokkelen
Lebanon Valley · 2016-17
0.550 Average
actual D2/3 PPG
Anthony Pickering
Concordia (WI) · 2013-14
0.809 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.