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Tyler Fogu Elite Prospects ↗

Position: Forward DOB: 2004-02-23 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 Trinity-Pawling NE-Prep 25 5 6 11 0.440 0.1241 0.1241 0.2013 0.2013
2020-21 Trinity-Pawling NE-Prep 6 1 2 3 0.500 0.1411 0.1411 0.2288 0.2288
2021-22 Trinity-Pawling NE-Prep 25 4 9 13 0.520 0.1467 0.1467 0.2380 0.2380
2022-23 Trinity-Pawling NE-Prep 22 1 5 6 0.273 0.0769 0.0769 0.1248 0.1248
2023-24 Jersey Hitmen NCDC 44 11 18 29 0.659 0.3675 0.3607 0.5329 0.5230
2024-25 Jersey Hitmen NCDC 54 10 16 26 0.481 0.2685 0.2516 0.3893 0.3648
■ 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 Skidmore D3 SUNYAC FR 26 3 7 10 0.385
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.38
2025-26 · Skidmore
+52.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#20348
Forward overall
#1092
Forward born in 2004

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Zachary Vierling
Wisconsin-Stout · 2010-11
0.385 Average
actual D2/3 PPG
Topher Flanagan
Amherst · 2011-12
0.389 Average
actual D2/3 PPG
Joe Papa
Saint John's · 2018-19
0.000 No data
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.