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Shawn Lynch Elite Prospects ↗

Position: Forward DOB: 1994-08-26 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
2013-14 Ottawa Jr. Senators CCHL 55 15 23 38 0.691 0.1972 0.1934 0.5348 0.5244
2014-15 Ottawa Jr. Senators CCHL 55 23 31 54 0.982 0.2802 0.2618 0.7600 0.7101
■ 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
2018-19 Utica D3 UCHC SR 28 11 16 27 0.964
2017-18 Utica D3 UCHC JR 11 0 2 2 0.182
2016-17 Utica D3 UCHC SO 22 6 3 9 0.409
2015-16 Utica D3 UCHC FR 17 2 3 5 0.294
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.29
2015-16 · Utica
+46.5% vs. projection

NCAAe Rankings

#15029
Forward overall
#624
Forward born in 1994
#370
in CCHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Beau Walker
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Teddy Purcell
SUNY Geneseo · 2005-06
0.550 Average
actual D2/3 PPG
Phil Cherneski
Wisconsin-Eau Claire · 2000-01
0.739 Strong
actual D2/3 PPG
Mac Olson
Hobart · 2011-12
0.846 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.