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Dave McKenna Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 1 0 0 0 0.000 — — — —
2001-02 North York Rangers OJHL 46 11 17 28 0.609 0.1701 0.1701 0.4201 0.4201
2002-03 North York Rangers OJHL 48 28 27 55 1.146 0.3201 0.3201 0.7907 0.7907
2003-04 North York Rangers OJHL 49 20 22 42 0.857 0.2395 0.2395 0.5915 0.5915
2004-05 North York Rangers OJHL 48 27 53 80 1.667 0.4657 0.4657 1.1502 1.1502
■ 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
2008-09 Elmira D3 — SR 27 6 18 24 0.889
2007-08 Elmira D3 — JR 29 8 14 22 0.759
2006-07 Elmira D3 — SO 25 8 13 21 0.840
2005-06 Elmira D3 — FR 25 8 6 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.56
2005-06 · Elmira
+74.3% vs. projection

NCAAe Rankings

#6998
Forward overall
#188
in OJHL

D1 Comparables

Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.45 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.42 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.34 Strong
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.39 Elite
NCAAe PPG

D2/3 Comparables

Mike Fiume
Neumann · 2001-02
1.040 Elite
actual D2/3 PPG
Caden Triggs
Concordia · 2019-20
0.600 Average
actual D2/3 PPG
Ikki Kogawa
Wisconsin-Superior · 2021-22
1.056 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.