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Luke Munroe Elite Prospects ↗

Position: Forward DOB: 2002-06-30 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 Sherwood Park Crusaders AJHL 34 5 20 25 0.735 0.2456 0.2283 0.6826 0.6346
■ 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 Liberty University ACHA_D1 — — 30 14 15 29 0.967
2024-25 Liberty University ACHA_D1 — — 30 14 15 29 0.967
2024-25 SUNY Geneseo D3 — SO 13 2 5 7 0.538
2023-24 Liberty University ACHA_D1 — — 30 14 15 29 0.967
2023-24 SUNY Geneseo D3 SUNYAC FR 4 0 0 0 0.000
2022-23 Liberty University ACHA_D1 — — 30 14 15 29 0.967
2021-22 Liberty University ACHA_D1 — — 30 14 15 29 0.967
2020-21 Liberty University ACHA_D1 — — 30 14 15 29 0.967

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
30%
NCAA D2/D3
50%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#11064
Forward overall
#360
Forward born in 2002

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Egan Schmitt
Babson · 2021-22
0.440 Average
actual D2/3 PPG
Patrik Peltola
Anna Maria · 2018-19
0.375 Average
actual D2/3 PPG
Deaglan Kelly
UMass Boston · 2024-25
0.000 No data
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.