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Kiki Brown Elite Prospects ↗

Position: Forward DOB: 2004-02-06 Country: Canada
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
2022-23 — NCDC 39 3 4 7 0.179 0.1001 0.1037 0.1451 0.1503
2023-24 Navan Grads CCHL 48 5 13 18 0.375 0.1197 0.1149 0.2903 0.2786
2024-25 Navan Grads CCHL 44 17 22 39 0.886 0.2830 0.2588 0.6862 0.6276
■ 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 Gustavus Adolphus D3 MIAC — 8 1 0 1 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.12
2025-26 · Gustavus Adolphus
-27.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#29826
Forward overall
#1761
Forward born in 2004

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Tommy Nolan
SUNY Cortland · 2013-14
0.625 Average
actual D2/3 PPG
Ben Beaudoin
Wisconsin-River Falls · 2007-08
0.630 Average
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2023-24
0.826 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.