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

Gonzalo Almanza Elite Prospects ↗

Position: Forward DOB: 2003-07-27 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 Atlanta Capitals NA3HL 45 2 7 9 0.200 0.0251 0.0261 0.0631 0.0655
2022-23 San Diego Sabers USPHL-Premier 17 1 3 4 0.235 0.0308 0.0306 0.0799 0.0795
2023-24 San Diego Sabers USPHL-Premier 30 4 5 9 0.300 0.0392 0.0371 0.1018 0.0963
■ 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 Oakland University ACHA_D1 — — 1 0 0 0 0.000
2024-25 Oakland University ACHA_D1 — — 1 0 0 0 0.000
2023-24 Oakland University ACHA_D1 — — 1 0 0 0 0.000
2022-23 Oakland University ACHA_D1 — — 1 0 0 0 0.000
2021-22 Oakland University ACHA_D1 — — 1 0 0 0 0.000
2020-21 Oakland University ACHA_D1 — — 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
8%
Club / ACHA
0%
Other

NCAAe Rankings

#51217
Forward overall
#3448
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
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
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

D2/3 Comparables

Gustaf Värnelius
Curry · 2015-16
0.000 No data
actual D2/3 PPG
J.R. Wojciechowski
Nazareth · 2014-15
0.417 Average
actual D2/3 PPG
Sam Witt
Albertus Magnus · 2021-22
0.200 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.