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Luke Grainger Elite Prospects ↗

Position: Forward DOB: 1999-09-03 Country: Canada
No commitment set

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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 Hawkesbury Hawks CCHL 61 13 29 42 0.689 0.1493 0.1476 0.5274 0.5214
2019-20 Hawkesbury Hawks CCHL 56 34 48 82 1.464 0.3176 0.3176 1.1217 1.1217
■ 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 Western Michigan D1 NCHC SR 38 14 34 48 1.263
2022-23 Western Michigan D1 NCHC JR 38 12 20 32 0.842
2021-22 Western Michigan D1 NCHC SO 39 8 7 15 0.385
2020-21 Western Michigan D1 NCHC FR 25 4 4 8 0.320
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.32
2020-21 · Western Michigan
+153.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#11359
Forward overall
#519
Forward born in 1999
#102
in CCHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Shane Bull
SUNY Oswego · 2018-19
0.684 Strong
actual D2/3 PPG
Logan Nelson
Wisconsin-Stout · 2012-13
0.593 Average
actual D2/3 PPG
Joshua German
Arcadia · 2021-22
0.591 Average
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.