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Brett Zeggil Elite Prospects ↗

Position: Forward DOB: 1988-10-27 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 Collingwood Blues OJHL 48 14 14 28 0.583 0.1630 0.1674 0.4025 0.4135
2008-09 Collingwood Blues OJHL 27 14 13 27 1.000 0.2794 0.2600 0.6901 0.6423
■ 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 Castleton D3 LittleEast SR 24 5 6 11 0.458
2011-12 Castleton D3 LittleEast JR 25 7 4 11 0.440
2010-11 Castleton D3 LittleEast SO 27 4 7 11 0.407
2009-10 Castleton D3 — FR 19 4 2 6 0.316
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.32
2009-10 · Castleton
+65.4% vs. projection

NCAAe Rankings

#16538
Forward overall
#711
Forward born in 1988
#1096
in OJHL

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Ryan Markell
SUNY Cortland · 2006-07
0.792 Strong
actual D2/3 PPG
Collin Kerchoff
Concordia Wisconsin · 2021-22
0.600 Average
actual D2/3 PPG
Colin Larkin
UMass Boston · 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.