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Nathan Horn Elite Prospects ↗

Position: Forward DOB: 1999-03-02 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
2014-15 Elk River/Zimmerman High USHS-MN 22 1 0 1 0.045 0.0058 0.0061 0.0111 0.0116
2017-18 Minnesota Wilderness NAHL 38 4 6 10 0.263 0.0967 0.0993 0.2778 0.2853
2018-19 Minnesota Wilderness NAHL 60 14 28 42 0.700 0.2572 0.2527 0.7389 0.7259
2019-20 Minnesota Wilderness NAHL 52 20 28 48 0.923 0.3391 0.3391 0.9743 0.9743
■ 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 Air Force D1 AHA — 33 3 4 7 0.212
2022-23 Air Force D1 AHA — 33 8 9 17 0.515
2021-22 Air Force D1 AHA — 33 11 11 22 0.667
2020-21 Air Force D1 AHA — 14 3 4 7 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.50
2020-21 · Air Force
+205.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
8%
NCAA D2/D3
18%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#17743
Forward overall
#852
Forward born in 1999

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Kevin MacLellan
SUNY Potsdam · 2005-06
0.647 Average
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2017-18
0.444 Average
actual D2/3 PPG
Craig Kitto
Williams · 2009-10
0.846 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.