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Ben Gibbons Elite Prospects ↗

Position: Forward DOB: 2001-09-19 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
2020-21 New Jersey 87's EHL 19 4 3 7 0.368 0.0539 0.0539 0.1806 0.1806
2021-22 New Jersey 87's EHL 46 7 15 22 0.478 0.0700 0.0688 0.2345 0.2305
■ 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 Neumann D3 MAC SR 14 2 1 3 0.214
2024-25 Neumann D3 MAC JR 26 0 3 3 0.115
2023-24 Neumann D3 MAC SO 24 4 3 7 0.292
2022-23 Neumann D3 MAC FR 25 2 4 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.24
2022-23 · Neumann
+307.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#36132
Forward overall
#1964
Forward born in 2001
#1356
in EHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.30 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Wilmer Svensson
Gustavus Adolphus · 2021-22
0.364 Average
actual D2/3 PPG
Todd Koritzinsky
Wisconsin-Eau Claire · 2013-14
0.550 Average
actual D2/3 PPG
Morris Schneider
Stevenson · 2024-25
0.158 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.