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Calvin Moïse Elite Prospects ↗

Position: Forward DOB: 1998-12-03 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 Navan Grads CCHL 62 8 18 26 0.419 0.0910 0.0865 0.3247 0.3088
■ 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
2021-22 Castleton D3 LittleEast GR 15 2 6 8 0.533
2020-21 Castleton D1 — SO 2 0 0 0 0.000
2020-21 Castleton D3 LittleEast SR 2 0 0 0 0.000
2019-20 Castleton D1 — FR 21 8 12 20 0.952
2019-20 Castleton D3 LittleEast JR 21 8 12 20 0.952
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.95
2019-20 · Castleton
+1187.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
20%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#39653
Forward overall
#2057
Forward born in 1998
#1057
in CCHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Raymond Fleming
St. Olaf · 2018-19
0.000 No data
actual D2/3 PPG
Wyatt Wurst
St. Scholastica · 2023-24
1.042 Elite
actual D2/3 PPG
Taylor Murphy
Westfield State · 2009-10
0.458 Average
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.