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Kevin Martin Elite Prospects ↗

Position: Forward DOB: 2002-03-04 Country: USA
No commitment set

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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
2002-03 Sherwood Park Crusaders AJHL 3 0 0 0 0.000 — — — —
2020-21 Elmira Impact USPHL-Premier 38 17 17 34 0.895 0.1009 0.1009 0.3044 0.3044
2021-22 Markham Royals OJHL 23 5 7 12 0.522 0.1279 0.1227 0.3571 0.3427
2022-23 North York Rangers OJHL 13 0 1 1 0.077 0.0188 0.0171 0.0526 0.0478
■ 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 King's D3 MAC GR 25 3 6 9 0.360
2024-25 King's D3 MAC SR 16 1 3 4 0.250
2023-24 King's D3 MAC JR 12 2 1 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.25
2023-24 · King's
+392.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
12%
NCAA D2/D3
75%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#43003
Forward overall
#2710
Forward born in 2002

D1 Comparables

Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Jeff MacPhee
SUNY Geneseo · 2005-06
0.130 Developing
actual D2/3 PPG
Ethan Seibert
SUNY Brockport · 2024-25
0.154 Developing
actual D2/3 PPG
Bobby Moe
Hamline · 2007-08
0.188 Developing
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.