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Tyler Rolston Elite Prospects ↗

Position: Defense DOB: 2002-02-12 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 P.A.L. Junior Islanders USPHL-Premier 18 6 10 16 0.889 0.1003 0.1003 0.3024 0.3024
2021-22 P.A.L. Junior Islanders NCDC 29 0 2 2 0.069 0.0159 0.0156 0.0558 0.0546
2022-23 P.A.L. Junior Islanders NCDC 44 2 8 10 0.227 0.0525 0.0492 0.1838 0.1722
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 Manhattanville D3 UCHC GR 16 3 2 5 0.312
2024-25 Manhattanville D3 UCHC SR 20 1 2 3 0.150
2023-24 Manhattanville D3 UCHC JR 17 1 1 2 0.118
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
Actual FR PPG
0.12
2023-24 · Manhattanville
+247.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#12117
Defenseman overall
#2430
Defenseman born in 2002

D1 Comparables

USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Wisconsin-Stout · 2015-16
0.481 Average
actual D2/3 PPG
Trinity · 2017-18
0.000 No data
actual D2/3 PPG
Fredonia · 2010-11
0.000 No data
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.