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Matteo Giampa Elite Prospects ↗

Position: Forward DOB: 2003-09-03 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
2019-20 Frederick Gunn NE-Prep 35 7 7 14 0.400 0.1128 0.1128 0.1830 0.1830
2021-22 Bonnyville Pontiacs AJHL 53 18 25 43 0.811 0.2692 0.2795 0.7519 0.7806
2022-23 Bonnyville Pontiacs AJHL 54 27 65 92 1.704 0.5653 0.5589 1.5790 1.5610
■ 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 Miami D1 NCHC JR 29 12 12 24 0.828
2024-25 Canisius D1 AHA — 37 8 22 30 0.811
2023-24 Canisius D1 AHA — 36 18 17 35 0.972
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.97
2023-24 · Canisius
+154.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#10529
Forward overall
#463
Forward born in 2003

D1 Comparables

Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG
Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.46 Strong
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.46 Developing
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.42 Developing
NCAAe PPG

D2/3 Comparables

Brett Gravelle
St. Thomas · 2014-15
0.923 Strong
actual D2/3 PPG
Geordan Buffoline
New England · 2018-19
1.667 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
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.