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Joseph Coglianese Elite Prospects ↗

Position: Forward DOB: 2003-04-16 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 Chicago Crush USPHL-Premier 33 6 3 9 0.273 0.0357 0.0350 0.0926 0.0908
2023-24 Chicago Crush USPHL-Elite 40 21 17 38 0.950 0.0877 0.0776 0.2175 0.1924
■ 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 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067
2024-25 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067
2023-24 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067
2022-23 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067
2021-22 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067
2020-21 Roosevelt University ACHA_D1 — — 30 0 2 2 0.067

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#39588
Forward overall
#2470
Forward born in 2003
#3638
in USPHL-Premier

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Connor Henry
Suffolk · 2014-15
0.200 Developing
actual D2/3 PPG
Ian Duffy
St. John Fisher · 2024-25
0.200 Developing
actual D2/3 PPG
West Bauman
Milwaukee School of Engineering · 2009-10
0.643 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.