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Kyle Cowan Elite Prospects ↗

Position: Defense DOB: 1989-08-24 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
2005-06 Nipawin Hawks SJHL 1 0 0 0 0.000 — — — —
2006-07 Nipawin Hawks SJHL 21 1 0 1 0.048 0.0145 0.0160 0.0353 0.0389
2007-08 Nipawin Hawks SJHL 58 2 9 11 0.190 0.0578 0.0606 0.1406 0.1475
2008-09 — SJHL 55 5 13 18 0.327 0.0997 0.0996 0.2426 0.2423
2009-10 Humboldt Broncos SJHL 55 4 17 21 0.382 0.1163 0.1108 0.2830 0.2697
■ 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
2010-11 St. Scholastica D3 — FR 23 1 5 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.26
2010-11 · St. Scholastica
+159.9% vs. projection

NCAAe Rankings

#17387
Defenseman overall
#1576
Defenseman born in 1989
#1736
in SJHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 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
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Scott Phelps
Utica · 2005-06
0.421 Average
actual D2/3 PPG
Mac Olson
Hobart · 2011-12
0.846 Strong
actual D2/3 PPG
Isaac Grondin
Southern Maine · 2023-24
0.333 Developing
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.