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Joe Wegwerth Elite Prospects ↗

Position: Forward DOB: 1996-06-16 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
2012-13 U.S. National U17 Team NTDP-U18 27 7 6 13 0.481 0.3830 0.3950 1.8033 1.8600
2013-14 U.S. National U18 Team NTDP-U18 60 3 6 9 0.150 0.1193 0.1165 0.5618 0.5487
2014-15 — USHL 59 9 21 30 0.508 0.3238 0.3263 1.5238 1.5355
■ 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
2018-19 Notre Dame D1 BigTen SR 12 7 4 11 0.917
2017-18 Notre Dame D1 BigTen JR 32 6 5 11 0.344
2016-17 Notre Dame D1 — SO 33 7 4 11 0.333
2015-16 Notre Dame D1 — FR 30 1 3 4 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.13
2015-16 · Notre Dame
-35.8% vs. projection

NCAAe Rankings

#20419
Forward overall
#848
Forward born in 1996

D1 Comparables

Conor O'Neil
NAHL · 2012-13 · 0.88 PPG
→ Vermont (0.27 D1 FR PPG)
0.34 Developing
NCAAe PPG
Cody Gylling
NAHL · 2012-13 · 0.79 PPG
→ Arizona State (0.24 D1 FR PPG)
0.31 Developing
NCAAe PPG
Dylan Steman
USHL · 2012-13 · 0.55 PPG
→ Michigan Tech (0.49 D1 FR PPG)
0.35 Average
NCAAe PPG
Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.36 No data
NCAAe PPG
Jason Ford
NAHL · 2012-13 · 0.78 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.30 Developing
NCAAe PPG

D2/3 Comparables

Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Matthew Dougherty
Western New England · 2018-19
0.846 Strong
actual D2/3 PPG
Nolan Redler
UMass Boston · 2014-15
1.125 Elite
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.