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Clarke Caswell Elite Prospects ↗

Position: Forward DOB: 2006-02-02 Country: Canada
2024 NHL Draft Round 5, Pick #141  ·  Seattle Kraken Seattle Kraken
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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
2021-22 — WHL 3 0 1 1 0.333 0.1622 0.1836 0.8167 0.9246
2022-23 — WHL 63 9 20 29 0.460 0.2239 0.2430 1.1279 1.2242
2023-24 Swift Current Broncos WHL 68 26 51 77 1.132 0.5509 0.5708 2.7747 2.8750
2024-25 Swift Current Broncos WHL 65 22 62 84 1.292 0.6287 0.6179 3.1665 3.1119
■ 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 Denver D1 NCHC FR 43 8 26 34 0.791
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.56
before college
→
Actual FR PPG
0.79
2025-26 · Denver
+41.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
80%
Pro / Other

NCAAe Rankings

#5229
Forward overall
#118
Forward born in 2006
#154
in WHL

D1 Comparables

Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.56 Developing
NCAAe PPG
Frank Vatrano
USHL · 2012-13 · 1.00 PPG
→ UMass
0.61 No data
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.67 Average
NCAAe PPG
Peter Quenneville
USHL · 2012-13 · 1.11 PPG
→ Quinnipiac (0.80 D1 FR PPG)
0.68 Elite
NCAAe PPG
C.J. Suess
USHL · 2012-13 · 0.95 PPG
→ Minnesota (0.76 D1 FR PPG)
0.58 Strong
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2016-17
1.448 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.