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Jeremy Dawes Elite Prospects ↗

Position: Forward DOB: 1987-01-22 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 Portage Terriers MJHL 59 16 20 36 0.610 0.1175 0.1190 0.3848 0.3895
2006-07 Portage Terriers MJHL 21 12 12 24 1.143 0.2200 0.2124 0.7207 0.6958
2007-08 Portage Terriers MJHL 61 49 49 98 1.607 0.3093 0.2819 1.0131 0.9235
■ 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
2011-12 St. Scholastica D3 MIAC SR 24 9 17 26 1.083
2010-11 St. Scholastica D3 MIAC JR 20 10 5 15 0.750
2009-10 St. Scholastica D3 MIAC SO 27 15 15 30 1.111
2008-09 St. Scholastica D3 MIAC FR 28 10 19 29 1.036
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
1.04
2008-09 · St. Scholastica
+376.2% vs. projection

NCAAe Rankings

#13199
Forward overall
#454
Forward born in 1987
#60
in MJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Reid Bibb
Buffalo State · 2016-17
0.963 Strong
actual D2/3 PPG
Eric Bolden
Elmira · 2016-17
1.000 Elite
actual D2/3 PPG
Travis Broughman
SUNY Oswego · 2017-18
0.852 Strong
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.