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Matthew Frett Elite Prospects ↗

Position: Forward DOB: 2003-01-29 Country: USA
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 Philadelphia Hockey Club USPHL-Premier 4 0 0 0 0.000 — — — —
2022-23 Philadelphia Hockey Club EHL 38 2 8 10 0.263 0.0608 0.0607 0.1288 0.1287
2023-24 Providence Capitals EHL 42 6 11 17 0.405 0.0935 0.0887 0.1981 0.1879
■ 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 Franklin Pierce D2 NE10 — 30 1 6 7 0.233
2024-25 Franklin Pierce D2 NE10 — 23 2 3 5 0.217
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.22
2024-25 · Franklin Pierce
+227.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#42500
Forward overall
#2705
Forward born in 2003

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Noah Batis
SUNY Plattsburgh · 2015-16
0.235 Developing
actual D2/3 PPG
Mark Kishko
Lebanon Valley · 2018-19
0.250 Developing
actual D2/3 PPG
Jonathan Miller
Curry · 2007-08
0.400 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.