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Frazer Dodd Elite Prospects ↗

Position: Forward DOB: 1999-05-24 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
2017-18 Merritt Centennials BCHL 7 0 4 4 0.571 0.2202 0.2266 0.8326 0.8567
2018-19 Merritt Centennials BCHL 34 4 9 13 0.382 0.1473 0.1436 0.5572 0.5433
2019-20 Swan Valley Stampeders MJHL 46 19 17 36 0.783 0.1507 0.1507 0.4932 0.4932
■ 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
2025-26 Alvernia D3 MAC SR 26 8 9 17 0.654
2024-25 Alvernia D3 MAC JR 26 9 8 17 0.654
2023-24 Alvernia D3 MAC SO 27 7 6 13 0.481
2022-23 Alvernia D3 MAC FR 10 4 0 4 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.40
2022-23 · Alvernia
+164.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
5%
NCAA D2/D3
25%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#30685
Forward overall
#1635
Forward born in 1999

D1 Comparables

Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

D2/3 Comparables

Jackson Arcan
SUNY Oswego · 2018-19
0.647 Average
actual D2/3 PPG
Thomas Magnavite
Saint Mary's (MN) · 2018-19
0.222 Developing
actual D2/3 PPG
Nathan Garnier
SUNY Cortland · 2022-23
0.696 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.