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

Matthew Montoni Elite Prospects ↗

Position: Forward DOB: 2005-01-27 Country: USA
Arcadia
MAC D3

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
2023-24 Kemptville 73's CCHL 45 8 4 12 0.267 0.0578 0.0583 0.2063 0.2081
2024-25 Kemptville 73's CCHL 45 8 4 12 0.267 0.0578 0.0557 0.2063 0.1987
2025-26 Kemptville 73's CCHL 25 4 2 6 0.240 0.0521 0.0473 0.1857 0.1686
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
18%
NCAA D2/D3
70%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#50958
Forward overall
#3486
Forward born in 2005
#1600
in CCHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
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

Arcadia Alumni similar profiles who attended this school

Ryan Cunningham
0.33
actual FR PPG at Arcadia
Connor Williams
0.38
actual FR PPG at Arcadia
Michael Benkovitz
0.24
actual FR PPG at Arcadia
T.J. Haas
0.17
actual FR PPG at Arcadia

D2/3 Comparables

Myles Fee
Manhattanville · 2001-02
0.250 Developing
actual D2/3 PPG
Mitchell Hale
SUNY Plattsburgh · 2018-19
0.385 Average
actual D2/3 PPG
Jagur McClelland
Utica · 2024-25
0.250 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.