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Holden Doell Elite Prospects ↗

Position: Forward DOB: 2003-12-01 Country: Canada
No commitment set

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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
2019-20 Battlefords North Stars SJHL 3 0 3 3 1.000 0.3046 0.3046 0.7411 0.7411
2021-22 Battlefords North Stars SJHL 38 10 22 32 0.842 0.2565 0.2731 0.6241 0.6646
2022-23 Battlefords North Stars SJHL 49 33 67 100 2.041 0.6216 0.6308 1.5124 1.5349
■ 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 Ferris State D1 CCHA JR 25 3 4 7 0.280
2024-25 Ferris State D1 CCHA JR 31 2 8 10 0.323
2023-24 Ferris State D1 CCHA SO 24 1 3 4 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.17
2023-24 · Ferris State
-60.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#6210
Forward overall
#208
Forward born in 2003
#6
in SJHL

D1 Comparables

Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.52 Strong
NCAAe PPG
Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.56 Developing
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota (0.33 D1 FR PPG)
0.50 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.67 Average
NCAAe PPG

D2/3 Comparables

Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Matthew Dougherty
Western New England · 2018-19
0.846 Strong
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2014-15
0.923 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.