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

Vincent Salice Elite Prospects ↗

Position: Forward DOB: 2003-02-28 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 Des Moines Buccaneers USHL 45 3 4 7 0.156 0.0956 0.0956 0.4584 0.4584
2020-21 Des Moines Buccaneers USHL 41 3 7 10 0.244 0.1499 0.1499 0.7186 0.7186
2021-22 — USHL 60 9 16 25 0.417 0.2561 0.2544 1.2277 1.2197
2022-23 Omaha Lancers USHL 60 8 9 17 0.283 0.1741 0.1639 0.8347 0.7859
■ 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 Army D1 AHA JR 35 7 2 9 0.257
2024-25 Army D1 AHA JR 35 6 8 14 0.400
2023-24 Army D1 AHA SO 34 4 6 10 0.294
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.29
2023-24 · Army
+71.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
45%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#29000
Forward overall
#1666
Forward born in 2003
#2775
in USHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Dakota Ulmer
Bryn Athyn · 2015-16
0.538 Average
actual D2/3 PPG
Aidan Verbeke
SUNY Brockport · 2012-13
0.647 Average
actual D2/3 PPG
Zack Bross
UMass Boston · 2015-16
1.518 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.