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Camden Markham Elite Prospects ↗

Position: Forward DOB: 2004-11-13 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
2022-23 Wisconsin Windigo NAHL 3 0 1 1 0.333 0.1238 0.1325 0.3529 0.3778
2023-24 — NAHL 33 2 5 7 0.212 0.0788 0.0806 0.2246 0.2297
2024-25 Watertown Shamrocks NAHL 56 22 23 45 0.804 0.2984 0.2895 0.8509 0.8257
■ 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 Wisconsin-Stevens Point D3 WIAC FR 24 5 9 14 0.583
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.58
2025-26 · Wisconsin-Stevens Point
+230.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
38%
NCAA D2/D3
42%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#19192
Forward overall
#927
Forward born in 2004
#1763
in NAHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2017-18
1.385 Elite
actual D2/3 PPG
Troy York
Wisconsin-Superior · 2016-17
1.000 Elite
actual D2/3 PPG
Dayne Bihn
Neumann · 2003-04
1.200 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.