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Matthew Loza Elite Prospects ↗

Position: Forward DOB: 2003-01-11 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 Lake Erie Bighorns USPHL-Premier 42 16 16 32 0.762 0.0997 0.1014 0.2586 0.2629
2022-23 Carolina Jr. Hurricanes USPHL-Premier 8 1 2 3 0.375 0.0490 0.0474 0.1273 0.1232
2023-24 Carolina Jr. Hurricanes USPHL-Premier 37 11 9 20 0.540 0.0707 0.0650 0.1834 0.1686
■ 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 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464
2024-25 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464
2023-24 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464
2022-23 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464
2021-22 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464
2020-21 Indiana University of Pennsylvania ACHA_D1 — — 28 8 5 13 0.464

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#27737
Forward overall
#1583
Forward born in 2003
#2115
in USPHL-Premier

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

David Vieten
Williams · 2021-22
0.350 Average
actual D2/3 PPG
Sam Olson
St. Thomas · 2010-11
0.000 No data
actual D2/3 PPG
Jacob Dittel
Saint John's · 2016-17
0.333 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.