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Brendan Ronan Elite Prospects ↗

Position: Forward DOB: 1999-03-17 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
2017-18 Northern Cyclones USPHL-Premier 34 4 4 8 0.235 0.0308 0.0316 0.0799 0.0819
2018-19 Northern Cyclones USPHL-Premier 43 18 14 32 0.744 0.0973 0.0946 0.2526 0.2456
■ 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
2023-24 Worcester State D3 MASCAC GR 26 11 12 23 0.885
2022-23 Worcester State D3 MASCAC SR 26 12 16 28 1.077
2021-22 Worcester State D3 MASCAC JR 23 8 13 21 0.913
2020-21 Worcester State D3 MASCAC SO 0 0 0 0 0.000
2019-20 Worcester State D1 MASCAC FR 17 2 4 6 0.353
2019-20 Worcester State D3 MASCAC FR 17 2 4 6 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.35
2019-20 · Worcester State
+494.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
55%
Other

NCAAe Rankings

#32218
Forward overall
#1731
Forward born in 1999
#2632
in USPHL-Premier

D1 Comparables

Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Reid Murray
Misericordia · 2022-23
0.000 No data
actual D2/3 PPG
Stephen Johnson
SUNY Oswego · 2012-13
0.400 Average
actual D2/3 PPG
Jordan Guiney
Concordia · 2018-19
0.524 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.