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Cody Doiron Elite Prospects ↗

Position: Defense DOB: 1992-04-25 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
2009-10 Markham Waxers OJHL 34 1 8 9 0.265 0.0795 0.0837 0.1812 0.1908
2010-11 Mississauga Chargers OJHL 37 7 20 27 0.730 0.2192 0.2206 0.4995 0.5027
2011-12 — OJHL 33 4 11 15 0.455 0.1365 0.1313 0.3111 0.2993
2012-13 — OJHL 53 8 27 35 0.660 0.1984 0.1810 0.4520 0.4124
■ 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
2014-15 Concordia D3 MIAC — 9 1 1 2 0.222
2014-15 Concordia (WI) D3 — SO 9 1 1 2 0.222
2013-14 Concordia D3 MIAC — 24 0 9 9 0.375
2013-14 Concordia (WI) D3 — FR 24 0 9 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.38
2013-14 · Concordia
+146.5% vs. projection

NCAAe Rankings

#7736
Defenseman overall
#1155
Defenseman born in 1992
#2031
in OJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG

D2/3 Comparables

Carson Rose
St. Scholastica · 2016-17
0.450 Average
actual D2/3 PPG
Brent Bisdee
SUNY Geneseo · 2011-12
0.385 Average
actual D2/3 PPG
Dillon Steh
Becker · 2017-18
0.000 No data
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.