IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Keaton Peters Elite Prospects ↗

Position: Forward DOB: 2004-03-01 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
2021-22 Lincoln Stars USHL 49 4 7 11 0.225 0.1324 0.1382 0.6743 0.7038
2022-23 Lincoln Stars USHL 60 16 15 31 0.517 0.3048 0.3023 1.5519 1.5391
2023-24 Lincoln Stars USHL 62 22 22 44 0.710 0.4187 0.3945 2.1315 2.0081
■ 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 Penn State D1 BigTen — 0 0 0 0 0.000
2024-25 Penn State D1 BigTen — 35 2 4 6 0.171
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.17
2024-25 · Penn State
-44.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#13525
Forward overall
#622
Forward born in 2004
#1286
in USHL

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2002-03
1.800 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2001-02
1.226 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2017-18
1.385 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.