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Nathan Mann Elite Prospects ↗

Position: Forward DOB: 2002-01-11 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
2018-19 Buffalo Jr. Sabres OJHL 2 0 0 0 0.000
2019-20 Buffalo Jr. Sabres OJHL 24 1 2 3 0.125 0.0306 0.0306 0.0856 0.0856
2020-21 Aberdeen Wings NAHL 40 6 2 8 0.200 0.0710 0.0710 0.2100 0.2100
2021-22 NAHL 46 7 12 19 0.413 0.1467 0.1434 0.4336 0.4239
2022-23 Lone Star Brahmas NAHL 50 7 15 22 0.440 0.1563 0.1451 0.4620 0.4290
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 Nazareth D3 UCHC GR 25 7 3 10 0.400
2024-25 Nazareth D3 UCHC SR 21 4 5 9 0.429
2023-24 Nazareth D3 UCHC JR 20 2 8 10 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
Actual FR PPG
0.50
2023-24 · Nazareth
+304.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
65%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#36715
Forward overall
#2252
Forward born in 2002

D1 Comparables

USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Concordia · 2021-22
0.000 No data
actual D2/3 PPG
Wisconsin-Stevens Point · 2017-18
0.571 Average
actual D2/3 PPG
Skidmore · 2017-18
0.760 Strong
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.