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Tyler Branish Elite Prospects ↗

Position: Defense DOB: 2004-06-11 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
2022-23 New Jersey 87's EHLP 28 5 22 27 0.964 0.0627 0.0632 0.2172 0.2189
2023-24 New Jersey 87's EHL 29 4 2 6 0.207 0.0303 0.0308 0.1014 0.1031
2024-25 New Jersey 87's EHL 32 3 16 19 0.594 0.0869 0.0839 0.2911 0.2810
■ 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 Roger Williams D3 CNE — 10 0 2 2 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.20
2025-26 · Roger Williams
+237.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#9715
Defenseman overall
#2131
Defenseman born in 2004

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Jerad Tafoya
Milwaukee School of Engineering · 2013-14
0.714 Strong
actual D2/3 PPG
Faiz Khan
UMass Boston · 2010-11
0.500 Average
actual D2/3 PPG
Derrick Brooks
Wisconsin-Superior · 2013-14
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.