IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Matteo Danis Elite Prospects ↗

Position: Forward DOB: 2005-03-27 Country: Canada
Brown
ECAC D1

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 Calgary Hitmen WHL 6 0 1 1 0.167 0.0811 0.0883 0.4090 0.4455
2022-23 Calgary Hitmen WHL 65 12 15 27 0.415 0.2021 0.2107 1.0193 1.0628
2023-24 Prince George Cougars WHL 65 9 6 15 0.231 0.1123 0.1116 0.5663 0.5626
2024-25 Prince George Cougars WHL 68 15 11 26 0.382 0.1860 0.1748 0.9383 0.8820
2025-26 Penticton Vees WHL 65 30 29 59 0.908 0.4416 0.3947 2.2272 1.9905
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#17498
Forward overall
#926
Forward born in 2005
#642
in WHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

Brown Alumni similar profiles who attended this school

Kyle Kramer
BCHL 2012-13
0.17
actual FR PPG at Brown
Nathan Plessis
AJHL 2018-19
0.18
actual FR PPG at Brown
Thomas Manty
NE-Prep 2018-19
0.20
actual FR PPG at Brown
Charlie Gollob
NE-Prep 2022-23
0.33
actual FR PPG at Brown

D2/3 Comparables

Joseph Sposit
Nichols · 2010-11
0.778 Strong
actual D2/3 PPG
Jake McAlpine
Wisconsin-Stout · 2022-23
0.542 Average
actual D2/3 PPG
Ryan Bloom
University of New England · 2013-14
1.654 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.