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Jeremy Sprung Elite Prospects ↗

Position: Forward DOB: 2006-05-04 Country: USA
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
Brown
ECAC D1

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
2024-25 New Jersey Jr. Titans NAHL 46 7 5 12 0.261 0.0959 0.1001 0.2754 0.2875
2025-26 — NAHL 48 14 16 30 0.625 0.2296 0.2284 0.6597 0.6562
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#29768
Forward overall
#1558
Forward born in 2006
#2668
in NAHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG

Brown Alumni similar profiles who attended this school

Brendan Tighe
NE-Prep 2023-24
0.09
actual FR PPG at Brown
Matthew Cataldo
BCHL 2024-25
0.19
actual FR PPG at Brown
Michael Cataldo
AJHL 2022-23
0.23
actual FR PPG at Brown
Charlie Gollob
NE-Prep 2022-23
0.33
actual FR PPG at Brown

D2/3 Comparables

Justin Meers
Trine · 2017-18
0.643 Average
actual D2/3 PPG
Sam Blanton
Bowdoin · 2023-24
0.600 Average
actual D2/3 PPG
Timmy Nicksic
St. Norbert · 2015-16
0.581 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.