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Seb Lloyd Elite Prospects ↗

Position: Forward DOB: 1994-04-25 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
2010-11 Prince George Spruce Kings BCHL 4 0 1 1 0.250 0.0963 0.1081 0.3638 0.4085
2011-12 West Kelowna Warriors BCHL 29 3 13 16 0.552 0.2126 0.2270 0.8029 0.8574
2012-13 West Kelowna Warriors BCHL 52 24 42 66 1.269 0.4890 0.4991 1.8471 1.8851
2013-14 West Kelowna Warriors BCHL 56 20 42 62 1.107 0.4266 0.4157 1.6112 1.5699
■ 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
2017-18 Harvard D1 ECAC SR 22 2 3 5 0.227
2016-17 Harvard D1 ECAC JR 15 3 5 8 0.533
2015-16 Harvard D1 ECAC SO 27 7 7 14 0.518
2014-15 Harvard D1 ECAC FR 34 3 4 7 0.206
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.38
before college
→
Actual FR PPG
0.21
2014-15 · Harvard
-46.4% vs. projection

NCAAe Rankings

#10035
Forward overall
#445
Forward born in 1994
#268
in BCHL

D1 Comparables

Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG

D2/3 Comparables

Scott Hudson
Manhattanville · 2007-08
1.231 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2018-19
1.409 Elite
actual D2/3 PPG
Geordan Buffoline
University of New England · 2018-19
1.667 Elite
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.