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Callum Arnott Elite Prospects ↗

Position: Forward DOB: 2004-01-12 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
2019-20 Oakville Blades OJHL 1 0 0 0 0.000 — — — —
2021-22 Oakville Blades OJHL 10 3 10 13 1.300 0.3186 0.3353 0.8899 0.9366
2022-23 Penticton Vees BCHL 49 3 21 24 0.490 0.1887 0.1901 0.7137 0.7189
2023-24 Penticton Vees BCHL 54 27 26 53 0.982 0.3782 0.3636 1.4301 1.3750
■ 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 Minnesota Duluth D1 NCHC SO 40 12 15 27 0.675
2024-25 Minnesota D1 BigTen — 36 6 4 10 0.278
2024-25 Minnesota Duluth D1 NCHC — 36 6 4 10 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.28
2024-25 · Minnesota
+10.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
5%
NCAA D2/D3
40%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#14471
Forward overall
#690
Forward born in 2004

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG

D2/3 Comparables

Gabe Randel
Wisconsin-Stevens Point · 2023-24
0.800 Strong
actual D2/3 PPG
Anthony Libonati
Becker · 2006-07
1.000 Elite
actual D2/3 PPG
Casey Shade
Wentworth · 2006-07
1.407 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.