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Morgan Giannone Elite Prospects ↗

Position: Forward DOB: 2004-03-05 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
2021-22 Oakville Jr. Hornets OWHL-U22 28 17 10 27 0.964 0.3371 0.3371 — —
■ 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 Robert Morris D1 CHA-W — 35 16 15 31 0.886
2024-25 Robert Morris D1 CHA-W — 35 9 11 20 0.571
2023-24 Robert Morris D1 CHA-W — 35 9 9 18 0.514
2022-23 St. Lawrence D1 ECAC-W — 34 1 0 1 0.029
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.03
2022-23 · St. Lawrence
-89.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
70%
Club / Other

NCAAe Rankings

#1641
Forward overall
#57
Forward born in 2004
#63
in OWHL-U22

D1 Comparables

Rebekah Kolstad
USHS-MN-W · 2012-13 · 2.09 PPG
→ North Dakota (0.06 D1 FR PPG)
0.34 Developing
NCAAe PPG
Catherine Skaja
USHS-MN-W · 2012-13 · 2.08 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG
Sylvia Marolt
USHS-MN-W · 2012-13 · 2.12 PPG
→ Bemidji State
0.34 No data
NCAAe PPG
Demi Gardner
USHS-MN-W · 2012-13 · 2.12 PPG
→ Minnesota (0.25 D1 FR PPG)
0.34 Developing
NCAAe PPG
Taylor Williamson
USHS-MN-W · 2013-14 · 2.14 PPG
→ Minnesota (0.40 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Rebekah Kolstad
North Dakota ·
0.057 Developing
actual D2/3 PPG
Catherine Skaja
Minnesota ·
0.342 Developing
actual D2/3 PPG
Sylvia Marolt
Bemidji State ·
0.000 No data
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.