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Caleb Hadland Elite Prospects ↗

Position: Forward DOB: 2006-03-06 Country: Canada
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
RPI
ECAC D1

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 Brandon Wheat Kings WHL 38 3 4 7 0.184 0.0896 0.0976 0.4520 0.4926
2023-24 Brandon Wheat Kings WHL 68 12 27 39 0.574 0.2790 0.2903 1.4072 1.4642
2024-25 Brandon Wheat Kings WHL 65 25 17 42 0.646 0.3144 0.3103 1.5856 1.5651
2025-26 Brandon Wheat Kings WHL 56 15 29 44 0.786 0.3822 0.3596 1.9279 1.8138
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#13050
Forward overall
#495
Forward born in 2006
#489
in WHL

D1 Comparables

Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG

RPI Alumni similar profiles who attended this school

Danny Ciccarello
NE-Prep 2019-20
0.08
actual FR PPG at RPI
Donovan Ott
NAHL 2016-17
0.31
actual FR PPG at RPI
Jackson Kyrkostas
NE-Prep 2022-23
0.17
actual FR PPG at RPI
Rory Herrman
USHL 2018-19
0.19
actual FR PPG at RPI

D2/3 Comparables

Roman Cherniak
Lawrence · 2023-24
0.842 Strong
actual D2/3 PPG
Bailey Conger
UMass Boston · 2016-17
2.500 Elite
actual D2/3 PPG
Todd Hosmer
SUNY Morrisville · 2007-08
1.160 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.