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Dexton Mozell Elite Prospects ↗

Position: Forward DOB: 2000-02-15 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
2018-19 Drayton Valley Thunder AJHL 57 3 7 10 0.175 0.0588 0.0592 0.1626 0.1637
2019-20 Drayton Valley Thunder AJHL 44 6 9 15 0.341 0.1143 0.1143 0.3159 0.3159
2020-21 Drayton Valley Thunder AJHL 15 6 3 9 0.600 0.2012 0.2012 0.5561 0.5561
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 Neumann D3 MAC GR 25 2 4 6 0.240
2024-25 Neumann D3 MAC SR 26 4 3 7 0.269
2023-24 Neumann D3 MAC JR 7 1 1 2 0.286
2022-23 Neumann D3 MAC SO 1 0 1 1 1.000
2021-22 Neumann D3 MAC FR 20 3 5 8 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
Actual FR PPG
0.40
2021-22 · Neumann
+689.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
8%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

#38549
Forward overall
#2077
Forward born in 2000
#1430
in AJHL

D1 Comparables

USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG
USHL · 2012-13 · 0.26 PPG
→ Ferris State (0.14 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

King's · 2018-19
0.240 Developing
actual D2/3 PPG
St. Thomas · 2008-09
0.880 Strong
actual D2/3 PPG
SUNY Geneseo · 2007-08
0.222 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.