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Eric Lawler Elite Prospects ↗

Position: Defense DOB: 1983-03-17 Country: USA
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
2000-01 Kanata Valley Lasers CCHL 52 2 15 17 0.327 0.0709 0.0734 0.2529 0.2619
2001-02 Kanata Valley Lasers CCHL 51 2 15 17 0.333 0.0723 0.0715 0.2579 0.2551
2002-03 Kanata Stallions CCHL 34 8 17 25 0.735 0.1595 0.1504 0.5689 0.5366
■ 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
2005-06 SUNY Geneseo D3 SUNYAC JR 3 0 0 0 0.000
2004-05 SUNY Geneseo D3 SUNYAC SO 26 0 2 2 0.077
2003-04 SUNY Geneseo D3 SUNYAC FR 24 2 2 4 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.17
2003-04 · SUNY Geneseo
+48.6% vs. projection

NCAAe Rankings

#9477
Defenseman overall
#956
Defenseman born in 1983
#810
in CCHL

D1 Comparables

Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG

D2/3 Comparables

Scott Taje
Lake Forest · 2001-02
0.500 Average
actual D2/3 PPG
Vinny Post
Adrian · 2014-15
0.714 Strong
actual D2/3 PPG
Daniel Chladek
Augsburg · 2018-19
0.750 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.