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Matt Pacheco Elite Prospects ↗

Position: Forward DOB: 2003-03-13 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
2019-20 Worcester Jr. Railers EHLP 32 4 5 9 0.281 0.0323 0.0323 0.0634 0.0634
2020-21 Worcester Jr. Railers EHLP 36 6 9 15 0.417 0.0478 0.0478 0.0939 0.0939
2021-22 Worcester Jr. Railers EHL 24 0 4 4 0.167 0.0385 0.0407 0.0816 0.0862
2022-23 Worcester Jr. Railers EHL 20 0 6 6 0.300 0.0693 0.0696 0.1468 0.1475
2023-24 Vermont Lumberjacks EHL 46 4 12 16 0.348 0.0803 0.0766 0.1702 0.1624
■ 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 Post D2 NE10 — 20 1 5 6 0.300
2024-25 Post D2 NE10 — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#46501
Forward overall
#3040
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
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Alexandre Danis
Hamilton · 2021-22
0.360 Average
actual D2/3 PPG
Trey Bagwell
Wisconsin-River Falls · 2018-19
0.278 Developing
actual D2/3 PPG
Matt Kassab
Lebanon Valley · 2018-19
0.176 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.