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Liam Murphy Elite Prospects ↗

Position: Forward DOB: 1998-01-20 Country: USA
Signed Professionally
Concordia Univ. · USports-M

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
2014-15 Moncton Wildcats QMJHL 51 7 5 12 0.235 0.1171 0.1270 0.6268 0.6797
2015-16 Moncton Wildcats QMJHL 58 9 19 28 0.483 0.2402 0.2491 1.2862 1.3339
2016-17 Moncton Wildcats QMJHL 67 11 9 20 0.298 0.1485 0.1471 0.7952 0.7875
2017-18 Acadie-Bathurst Titan QMJHL 65 20 18 38 0.585 0.2908 0.2726 1.5574 1.4599
2018-19 QMJHL 58 17 6 23 0.397 0.1973 0.1754 1.0565 0.9391
2019-20 Concordia Univ. USports-M 19 6 4 10 0.526 0.2777 0.2777 1.5427 1.5427
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
2020-21 Chatham D1 UCHC FR 4 0 0 0 0.000
2020-21 Chatham D3 UCHC FR 4 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
15%
NCAA D2/D3
55%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#20159
Forward overall
#966
Forward born in 1998

D1 Comparables

USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

New England College · 2015-16
1.115 Elite
actual D2/3 PPG
St. Norbert · 2018-19
0.833 Strong
actual D2/3 PPG
SUNY Brockport · 2013-14
0.647 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.