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Kienan Draper Elite Prospects ↗

Position: Forward DOB: 2002-02-19 Country: Canada
2020 · Round 6, Pick #187  ·  Detroit Red Wings Detroit Red Wings
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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 8 0 1 1 0.125 0.0737 0.0805 0.3754 0.4103
2020-21 — USHL 37 3 4 7 0.189 0.1116 0.1116 0.5682 0.5682
2021-22 — BCHL 53 23 27 50 0.943 0.3635 0.3495 1.3729 1.3201
■ 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
2025-26 Michigan D1 BigTen SR 40 5 13 18 0.450
2024-25 Michigan D1 BigTen SR 33 7 2 9 0.273
2023-24 Michigan D1 BigTen JR 37 4 8 12 0.324
2022-23 Michigan D1 BigTen — 23 1 0 1 0.043
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.04
2022-23 · Michigan
-79.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#20904
Forward overall
#1119
Forward born in 2002

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG

D2/3 Comparables

Eric Melso
SUNY Morrisville · 2017-18
0.750 Strong
actual D2/3 PPG
Karim Gayfullin
Curry · 2022-23
0.808 Strong
actual D2/3 PPG
Maxwell Donohoe
Neumann · 2022-23
1.500 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.