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McKade Webster Elite Prospects ↗

Position: Forward DOB: 2000-07-28 Country: USA
2019 · Round 7, Pick #213  ·  Tampa Bay Lightning Tampa Bay Lightning
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
2017-18 — USHL 58 11 19 30 0.517 0.3051 0.3253 1.5534 1.6565
2018-19 — USHL 6 0 2 2 0.333 0.1966 0.1995 1.0010 1.0157
2019-20 — USHL 24 7 16 23 0.958 0.5653 0.5653 2.8782 2.8782
■ 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 Denver D1 NCHC SR 43 14 18 32 0.744
2022-23 Denver D1 NCHC JR 30 6 8 14 0.467
2021-22 Denver D1 NCHC SO 39 6 8 14 0.359
2020-21 Denver D1 NCHC FR 22 3 6 9 0.409
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.41
2020-21 · Denver
+91.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
0%
NCAA D2/D3
55%
Pro / Other

NCAAe Rankings

#6368
Forward overall
#265
Forward born in 2000
#409
in USHL

D1 Comparables

Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Max Shuart
USHL · 2012-13 · 0.43 PPG
→ Michigan
0.25 No data
NCAAe PPG
Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.24 Average
NCAAe PPG

D2/3 Comparables

Matt Wiesner
Babson · 2015-16
0.885 Strong
actual D2/3 PPG
Jordan Watts
Adrian · 2007-08
0.852 Strong
actual D2/3 PPG
Jake McManus
Williams · 2023-24
0.750 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.