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Jake Horton Elite Prospects ↗

Position: Forward DOB: 1994-11-19 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
2010-11 Janesville Jets NAHL 56 4 14 18 0.321 0.1181 0.1374 0.3392 0.3945
2011-12 Waterloo Black Hawks USHL 5 2 1 3 0.600 0.3539 0.3816 1.8020 1.9429
2012-13 Waterloo Black Hawks USHL 28 7 5 12 0.429 0.2528 0.2591 1.2873 1.3194
2013-14 Waterloo Black Hawks USHL 37 7 12 19 0.513 0.3029 0.2963 1.5422 1.5085
■ 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
2017-18 Harvard D1 ECAC SR 33 4 9 13 0.394
2016-17 Harvard D1 ECAC JR 36 6 7 13 0.361
2015-16 Harvard D1 ECAC SO 34 3 4 7 0.206
2014-15 Harvard D1 ECAC FR 37 4 5 9 0.243
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.24
2014-15 · Harvard
1.0% vs. projection

NCAAe Rankings

#19877
Forward overall
#779
Forward born in 1994

D1 Comparables

A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Peter Krieger
NAHL · 2012-13 · 0.92 PPG
→ Alaska Fairbanks (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.37 Average
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Mike Bickley
Wisconsin-Superior · 2000-01
1.231 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Ryan Bloom
University of New England · 2012-13
1.654 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.