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Tyler Gobel Elite Prospects ↗

Position: Forward DOB: 2004-06-01 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 Jersey Hitmen USPHL-Elite 23 6 5 11 0.478 0.0840 0.0875 0.1096 0.1142
2022-23 New York Apple Core EHL 1 0 0 0 0.000 — — — —
2023-24 New York Apple Core EHL 41 3 8 11 0.268 0.0944 0.0959 0.1315 0.1335
2024-25 New York Apple Core EHL 46 23 26 49 1.065 0.3748 0.3613 0.5223 0.5035
■ 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 Western Connecticut D3 LittleEast FR 25 6 9 15 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.60
2025-26 · Western Connecticut
+174.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#24028
Forward overall
#1336
Forward born in 2004

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG

D2/3 Comparables

Jake Fuss
New England · 2018-19
0.727 Strong
actual D2/3 PPG
Colton Brausen
Wisconsin-Stout · 2015-16
0.741 Strong
actual D2/3 PPG
Hudson Cameron
Fredonia · 2024-25
0.500 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.