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Jaron Ketterman Elite Prospects ↗

Position: Forward DOB: 2001-09-07 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 — NA3HL 24 5 7 12 0.500 0.0553 0.0553 0.1584 0.1584
2021-22 Texas Roadrunners NA3HL 44 22 35 57 1.296 0.1433 0.1353 0.4104 0.3874
■ 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 Misericordia D3 MAC SR 24 3 3 6 0.250
2024-25 Misericordia D3 MAC — 12 0 1 1 0.083
2023-24 Concordia D3 MIAC — 12 0 3 3 0.250
2022-23 Concordia D3 MIAC — 25 3 5 8 0.320
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.32
2022-23 · Concordia
+176.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#24794
Forward overall
#1236
Forward born in 2001
#701
in NA3HL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Kyle Haines
SUNY Cortland · 2007-08
0.818 Strong
actual D2/3 PPG
Martin Gruse
Saint Mary's (MN) · 2012-13
0.680 Strong
actual D2/3 PPG
Colby Seitz
SUNY Cortland · 2021-22
0.957 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.