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Connor Powell Elite Prospects ↗

Position: Forward DOB: 1996-04-04 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
2014-15 New Hampshire Jr. Monarchs EHL 2 0 1 1 0.500 0.1073 0.1116 0.2449 0.2548
2015-16 New Hampshire Jr. Monarchs EHL 41 27 38 65 1.585 0.3402 0.3389 0.7764 0.7735
■ 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
2019-20 Elmira D3 UCHC SR 26 12 22 34 1.308
2018-19 Elmira D3 UCHC JR 27 23 13 36 1.333
2017-18 Elmira D3 UCHC SO 28 16 28 44 1.571
2016-17 Elmira D3 UCHC FR 25 13 14 27 1.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
1.08
2016-17 · Elmira
+408.7% vs. projection

NCAAe Rankings

#7991
Forward overall
#312
Forward born in 1996
#6
in EHL

D1 Comparables

Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.36 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.30 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.38 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Pat Power
Wisconsin-Superior · 2003-04
0.500 Average
actual D2/3 PPG
Eric Berglund
Manhattanville · 2013-14
0.696 Strong
actual D2/3 PPG
Nathan Stachowiak
SUNY Geneseo · 2023-24
0.700 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.