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Jacob VonTersch Elite Prospects ↗

Position: Defense DOB: 2002-04-02 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
2020-21 Minnesota Mullets USPHL-Premier 27 1 4 5 0.185 0.0209 0.0209 0.0629 0.0629
2021-22 Minnesota Mullets USPHL-Premier 42 2 16 18 0.429 0.0483 0.0472 0.1455 0.1423
■ 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 Syracuse ACHA_D1 — — 21 0 0 0 0.000
2024-25 Syracuse ACHA_D1 — — 21 0 0 0 0.000
2023-24 Syracuse ACHA_D1 — — 21 0 0 0 0.000
2022-23 Syracuse ACHA_D1 — — 21 0 0 0 0.000
2021-22 Syracuse ACHA_D1 — — 21 0 0 0 0.000
2020-21 Syracuse ACHA_D1 — — 21 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
45%
Other

NCAAe Rankings

#15783
Defenseman overall
#2852
Defenseman born in 2002
#4496
in USPHL-Premier

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Brett Meister
Saint John's · 2017-18
0.111 Developing
actual D2/3 PPG
Ryan Rosenberg
Fredonia · 2016-17
0.000 No data
actual D2/3 PPG
Connor Mariner
Wisconsin-Stout · 2022-23
0.333 Developing
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.