IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Spencer Foo Elite Prospects ↗

Position: Forward DOB: 1994-05-19 Country: Canada
Signed Professionally
Shanghai Dragons · KHL

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
2012-13 Bonnyville Pontiacs AJHL 55 13 17 30 0.545 0.1810 0.1854 0.5056 0.5179
2013-14 Bonnyville Pontiacs AJHL 60 40 27 67 1.117 0.3705 0.3603 1.0350 1.0066
2019-20 Shanghai Dragons KHL 58 8 17 25 0.431 1.0775 1.0775 — —
2020-21 Shanghai Dragons KHL 48 9 9 18 0.375 0.9375 0.9375 — —
2021-22 Shanghai Dragons KHL 48 14 19 33 0.688 1.7188 1.6863 — —
2023-24 Shanghai Dragons KHL 54 13 16 29 0.537 1.3425 1.1343 — —
2024-25 Shanghai Dragons KHL 63 17 18 35 0.556 1.3890 1.1325 — —
■ 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 Union D1 ECAC JR 38 26 36 62 1.632
2015-16 Union D1 ECAC SO 36 12 13 25 0.694
2014-15 Union D1 ECAC FR 39 11 14 25 0.641
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.64
2014-15 · Union
+157.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

🏒 NHL / Pro Track — production profile is consistent with players who bypassed or minimized college hockey
0%
NCAA D1
0%
NCAA D2/D3
100%
NHL / Pro

NCAAe Rankings

#531
Forward overall
#34
Forward born in 1994

D2/3 Comparables

Jacob Kaminski
UMass Boston · 2021-22
0.400 Average
actual D2/3 PPG
Jack Hatton
Saint Mary's (MN) · 2016-17
0.600 Average
actual D2/3 PPG
John McLean
Salve Regina · 2015-16
0.500 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.