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Dylan Wendt Elite Prospects ↗

Position: Forward DOB: 2001-01-09 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
2018-19 — USHL 58 3 15 18 0.310 0.1830 0.1898 0.9311 0.9659
2019-20 — USHL 44 8 26 34 0.773 0.4558 0.4558 2.3186 2.3186
2020-21 — USHL 53 17 28 45 0.849 0.5009 0.5009 2.5479 2.5479
■ 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
2023-24 Michigan D1 BigTen — 38 23 21 44 1.158
2023-24 Western Michigan D1 NCHC — 38 23 21 44 1.158
2022-23 Michigan D1 BigTen — 39 8 14 22 0.564
2022-23 Western Michigan D1 NCHC — 39 8 14 22 0.564
2021-22 Western Michigan D1 NCHC — 34 2 1 3 0.088
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.09
2021-22 · Western Michigan
-45.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
68%
Pro / Other

NCAAe Rankings

#8047
Forward overall
#359
Forward born in 2001
#714
in USHL

D1 Comparables

Ryan Siroky
USHL · 2012-13 · 0.29 PPG
→ Miami (0.13 D1 FR PPG)
0.18 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.20 Developing
NCAAe PPG
Joe Widmar
USHL · 2012-13 · 0.26 PPG
→ UMass (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Andrew Oglevie
USHL · 2012-13 · 0.33 PPG
→ Notre Dame (0.29 D1 FR PPG)
0.20 Developing
NCAAe PPG
Jake Evans
OHL · 2012-13 · 0.29 PPG
→ Notre Dame (0.41 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Peter Magagna
SUNY Oswego · 2001-02
0.926 Strong
actual D2/3 PPG
Regen Cavanagh
Utica · 2014-15
0.778 Strong
actual D2/3 PPG
Braydon Barker
Concordia · 2014-15
0.960 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.