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Brendan Tighe Elite Prospects ↗

Position: Forward DOB: 2006-08-14 Country: USA
No commitment set

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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 — USHL 8 1 0 1 0.125 0.0768 0.0856 0.3683 0.4105
2023-24 Avon Old Farms NE-Prep 27 12 19 31 1.148 0.3239 0.3239 0.7366 0.7843
2024-25 Madison Capitols USHL 54 7 5 12 0.222 0.1366 0.1385 0.6546 0.6636
■ 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 Brown D1 ECAC FR 22 1 1 2 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.09
2025-26 · Brown
-50.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
12%
NCAA D2/D3
20%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#26139
Forward overall
#1284
Forward born in 2006
#2558
in USHL

D1 Comparables

Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.19 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.21 Average
NCAAe PPG
Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Kyle Galloway
Southern New Hampshire · 2015-16
0.500 Average
actual D2/3 PPG
Omar Mullan
Milwaukee School of Engineering · 2011-12
1.286 Elite
actual D2/3 PPG
Jackson Arcan
SUNY Oswego · 2017-18
0.647 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.