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Mark Lyons Elite Prospects ↗

Position: Forward DOB: 1988-04-12 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
2006-07 Quesnel Millionaires BCHL 50 2 9 11 0.220 0.0848 0.0864 0.3206 0.3265
2007-08 Brooks Bandits AJHL 59 13 14 27 0.458 0.1535 0.1484 0.4241 0.4100
2008-09 Brooks Bandits AJHL 61 27 23 50 0.820 0.2749 0.2543 0.7597 0.7028
■ 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
2012-13 Williams D3 NESCAC SR 27 1 10 11 0.407
2011-12 Williams D3 NESCAC JR 23 5 8 13 0.565
2010-11 Williams D3 NESCAC SO 27 8 7 15 0.556
2009-10 Williams D3 — FR 14 2 1 3 0.214
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.21
2009-10 · Williams
+18.1% vs. projection

NCAAe Rankings

#29623
Forward overall
#1010
Forward born in 1988

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Danny Bosio
SUNY Geneseo · 2016-17
0.571 Average
actual D2/3 PPG
Jordan Carvalho
SUNY Morrisville · 2012-13
0.833 Strong
actual D2/3 PPG
Steven Sleep
St. Norbert · 2004-05
0.516 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.