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Marcus Basara Elite Prospects ↗

Position: Forward DOB: 1993-02-27 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
2009-10 Notre Dame Hounds SJHL 2 0 0 0 0.000 — — — —
2010-11 Vernon Vipers BCHL 56 12 16 28 0.500 0.1926 0.2051 0.7277 0.7750
2011-12 — BCHL 60 16 25 41 0.683 0.2633 0.2660 0.9944 1.0044
2012-13 West Kelowna Warriors BCHL 56 33 37 70 1.250 0.4816 0.4637 1.8191 1.7514
■ 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
2016-17 Alaska Fairbanks D1 WCHA SR 33 9 10 19 0.576
2015-16 Alaska Fairbanks D1 WCHA JR 36 8 10 18 0.500
2014-15 Alaska Fairbanks D1 WCHA SO 34 12 12 24 0.706
2013-14 Alaska Fairbanks D1 WCHA — 37 12 14 26 0.703
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.70
2013-14 · Alaska Fairbanks
+113.5% vs. projection

NCAAe Rankings

#13207
Forward overall
#488
Forward born in 1993

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Roman Ammirato
Utica · 2012-13
1.296 Elite
actual D2/3 PPG
Brian Berger
Marian · 2010-11
1.038 Elite
actual D2/3 PPG
Bailey Conger
UMass Boston · 2016-17
2.500 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.