IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Kyan Haldenby Elite Prospects ↗

Position: Forward DOB: 2004-04-13 Country: Canada
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
2021-22 Newmarket Hurricanes OJHL 36 5 12 17 0.472 0.1157 0.1232 0.3251 0.3463
2022-23 Newmarket Hurricanes OJHL 54 11 37 48 0.889 0.2179 0.2209 0.6120 0.6205
2023-24 Shreveport Mudbugs NAHL 60 21 27 48 0.800 0.2939 0.2920 0.8444 0.8389
2024-25 Shreveport Mudbugs NAHL 40 15 36 51 1.275 0.4684 0.4408 1.3458 1.2664
■ 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 Canisius D1 AHA FR 18 2 4 6 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.33
2025-26 · Canisius
+2.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
30%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#9432
Forward overall
#369
Forward born in 2004

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG

D2/3 Comparables

Derek Hanson
Wisconsin-Stout · 2005-06
1.000 Elite
actual D2/3 PPG
Corey Stark
Wisconsin-Superior · 2005-06
1.038 Elite
actual D2/3 PPG
Luke Nesper
Wisconsin-Stevens Point · 2007-08
0.889 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.