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Nolan Flamand Elite Prospects ↗

Position: Forward DOB: 2004-01-12 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
2019-20 Kelowna Rockets WHL 3 0 0 0 0.000 — — — —
2020-21 Kelowna Rockets WHL 16 1 6 7 0.438 0.2128 0.2128 1.0720 1.0720
2021-22 Kelowna Rockets WHL 60 10 30 40 0.667 0.3243 0.3338 1.6336 1.6812
2022-23 — WHL 63 13 18 31 0.492 0.2394 0.2352 1.2058 1.1847
2023-24 Brandon Wheat Kings WHL 67 20 24 44 0.657 0.3195 0.2982 1.6091 1.5016
2024-25 Brandon Wheat Kings WHL 67 23 45 68 1.015 0.4937 0.4344 2.4868 2.1879
■ 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 Merrimack D1 HockeyEast FR 39 7 12 19 0.487
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.49
2025-26 · Merrimack
+49.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
75%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#9801
Forward overall
#401
Forward born in 2004
#513
in WHL

D1 Comparables

Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.49 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
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2008-09
1.357 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2024-25
1.120 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.