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Maddox Fleming Elite Prospects ↗

Position: Forward DOB: 2004-02-13 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 U.S. National U17 Team NTDP-U18 39 10 20 30 0.769 0.5964 0.5964 2.8629 2.8629
2021-22 — USHL 52 11 26 37 0.712 0.4374 0.4555 2.0962 2.1830
2022-23 Sioux Falls Stampede USHL 59 13 34 47 0.797 0.4897 0.4845 2.3469 2.3221
■ 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 Notre Dame D1 BigTen JR 29 2 4 6 0.207
2024-25 Notre Dame D1 BigTen — 22 0 3 3 0.136
2023-24 Notre Dame D1 BigTen — 35 3 9 12 0.343
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.34
2023-24 · Notre Dame
-15.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

100%
NCAA D1
0%
NCAA D2/D3
0%
Pro / Other

NCAAe Rankings

#8309
Forward overall
#313
Forward born in 2004

D1 Comparables

Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.46 Average
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.44 Average
NCAAe PPG
Jared Thomas
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.42 Developing
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.42 Developing
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 Elite
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.