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Dakota Dubetz Elite Prospects ↗

Position: Forward DOB: 1988-09-21 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
2006-07 Fort McMurray Oil Barons AJHL 59 6 18 24 0.407 0.1364 0.1424 0.3765 0.3931
2007-08 Fort McMurray Oil Barons AJHL 62 18 41 59 0.952 0.3192 0.3157 0.8806 0.8709
2008-09 Fort McMurray Oil Barons AJHL 60 15 38 53 0.883 0.2963 0.2807 0.8174 0.7743
■ 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
2012-13 Marian D3 NCHA SR 26 3 8 11 0.423
2011-12 Marian D3 NCHA JR 26 14 20 34 1.308
2010-11 Marian D3 NCHA SO 27 15 34 49 1.815
2009-10 Marian D3 NCHA FR 27 16 20 36 1.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
1.33
2009-10 · Marian
+428.5% vs. projection

NCAAe Rankings

#19838
Forward overall
#710
Forward born in 1988
#450
in AJHL

D1 Comparables

Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Matthew Cuce
Elmira · 2015-16
1.000 Elite
actual D2/3 PPG
Cullen Kane
Lake Forest · 2017-18
0.500 Average
actual D2/3 PPG
Gianni Mangone
Marian · 2013-14
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.