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Barry Kneedler Elite Prospects ↗

Position: Forward DOB: 1996-02-01 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
2015-16 Philadelphia Flyers Elite USPHL-Premier-Classic 27 5 5 10 0.370 0.1040 0.1032 0.3045 0.3021
2016-17 Philadelphia Flyers Elite USPHL-Premier-Classic 5 0 0 0 0.000 — — — —
■ 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
2021-22 Neumann D3 MAC — 24 12 15 27 1.125
2019-20 Neumann D1 MAC JR 26 17 9 26 1.000
2019-20 Neumann D3 MAC GR 26 17 9 26 1.000
2018-19 Neumann D1 MAC SO 13 5 5 10 0.769
2018-19 Neumann D3 MAC SR 13 5 5 10 0.769
2017-18 Neumann D3 MAC JR 23 2 7 9 0.391
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.39
2017-18 · Neumann
+343.1% vs. projection

NCAAe Rankings

#29365
Forward overall
#1222
Forward born in 1996

D1 Comparables

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
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Gunnar Smith
Skidmore · 2018-19
0.000 No data
actual D2/3 PPG
Kade Maddock
Franklin Pierce · 2022-23
0.000 No data
actual D2/3 PPG
Dane Carter
Trinity · 2023-24
0.250 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.