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Johnny Duco Elite Prospects ↗

Position: Forward DOB: 1984-05-31 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
2000-01 North York Rangers OJHL 47 3 7 10 0.213 0.0639 0.0692 0.1457 0.1577
2002-03 — OJHL 33 5 15 20 0.606 0.1821 0.1801 0.4149 0.4104
2003-04 — OJHL 45 27 40 67 1.489 0.4473 0.4224 1.0192 0.9624
■ 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
2007-08 Buffalo State D3 — SR 24 0 10 10 0.417
2006-07 Buffalo State D3 — JR 23 5 13 18 0.783
2005-06 SUNY Oswego D3 — SO 17 2 5 7 0.412
2004-05 SUNY Oswego D3 — FR 25 2 5 7 0.280
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.28
2004-05 · SUNY Oswego
0.5% vs. projection

NCAAe Rankings

#18130
Forward overall
#522
Forward born in 1984
#826
in OJHL

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG

D2/3 Comparables

Matt Galati
SUNY Oswego · 2011-12
1.241 Elite
actual D2/3 PPG
JC Humphreys
SUNY Cortland · 2023-24
0.481 Average
actual D2/3 PPG
Filip Jakobsson
Canton · 2018-19
1.000 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.