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Aidan Flynn Elite Prospects ↗

Position: Forward DOB: 2002-02-08 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 Northeast Generals NAHL 11 1 1 2 0.182 0.0646 0.0646 0.1909 0.1909
2021-22 — NAHL 7 0 1 1 0.143 0.0508 0.0499 0.1500 0.1472
2022-23 Charlotte Rush USPHL-Premier 39 10 21 31 0.795 0.0897 0.0826 0.2704 0.2491
■ 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 Nichols D3 CNE GR 17 0 5 5 0.294
2024-25 Nichols D3 CNE SR 25 4 3 7 0.280
2023-24 Nichols D3 CNE JR 22 0 3 3 0.136
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.14
2023-24 · Nichols
+129.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#31559
Forward overall
#1865
Forward born in 2002

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Walter Baumann
Salve Regina · 2021-22
0.350 Average
actual D2/3 PPG
Matt Rutigliano
Skidmore · 2018-19
0.440 Average
actual D2/3 PPG
Cole Sanderson
Babson · 2017-18
0.300 Developing
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.