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Alex Ochterbeck Elite Prospects ↗

Position: Forward DOB: 1997-04-19 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
2016-17 Philadelphia Little Flyers EHL 44 14 15 29 0.659 0.1414 0.1418 0.3228 0.3238
2017-18 Philadelphia Little Flyers EHL 41 43 45 88 2.146 0.4606 0.4364 1.0510 0.9958
■ 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 Curry D3 CNE SR 24 3 9 12 0.500
2020-21 Curry D3 CNE JR 5 0 2 2 0.400
2019-20 Curry D3 CNE SO 26 15 20 35 1.346
2018-19 Curry D3 CNE FR 26 7 10 17 0.654
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.65
2018-19 · Curry
+139.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D2/D3
0%
Club / ACHA
8%
Other

NCAAe Rankings

#8600
Forward overall
#339
Forward born in 1997
#10
in EHL

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.46 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.54 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.54 Average
NCAAe PPG

D2/3 Comparables

Tommy Besinger
Endicott · 2014-15
1.143 Elite
actual D2/3 PPG
Connor Treacy
SUNY Potsdam · 2005-06
0.960 Strong
actual D2/3 PPG
Rick Varone
SUNY Oswego · 2003-04
0.652 Strong
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.