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Graham Yeo Elite Prospects ↗

Position: Forward DOB: 1992-11-12 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
2009-10 Huntsville Otters OJHL 46 5 10 15 0.326 0.0911 0.0984 0.2250 0.2431
2010-11 Huntsville Otters OJHL 50 14 25 39 0.780 0.2179 0.2253 0.5383 0.5565
2011-12 Collingwood Blues OJHL 46 16 21 37 0.804 0.2247 0.2224 0.5550 0.5493
2012-13 Collingwood Blues OJHL 55 17 31 48 0.873 0.2438 0.2291 0.6023 0.5661
■ 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
2013-14 SUNY Plattsburgh D3 — FR 7 1 1 2 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.29
2013-14 · SUNY Plattsburgh
+47.4% vs. projection

NCAAe Rankings

#16511
Forward overall
#701
Forward born in 1992
#1092
in OJHL

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Matt Dillon
Salve Regina · 2017-18
0.808 Strong
actual D2/3 PPG
Joe Costello
Wisconsin-Stout · 2015-16
0.000 No data
actual D2/3 PPG
Dante Zapata
Utica · 2018-19
0.857 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.