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Tom Bark Elite Prospects ↗

Position: Forward DOB: 1989-12-05 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
2006-07 — OJHL 48 20 20 40 0.833 0.2042 0.2211 0.5737 0.6211
2007-08 St. Michael's Buzzers OJHL 39 15 17 32 0.821 0.2011 0.2086 0.5649 0.5860
2008-09 — OJHL 43 25 17 42 0.977 0.2394 0.2361 0.6725 0.6631
■ 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
2012-13 Lake Forest D3 NCHA SR 1 0 0 0 0.000
2011-12 Lake Forest D3 NCHA JR 23 4 14 18 0.783
2010-11 Lake Forest D3 NCHA SO 26 6 15 21 0.808
2009-10 Lake Forest D3 NCHA FR 25 7 21 28 1.120
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
1.12
2009-10 · Lake Forest
+481.2% vs. projection

NCAAe Rankings

#19385
Forward overall
#651
Forward born in 1989
#725
in OJHL

D1 Comparables

Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG
Blake Winiecki
USHL · 2012-13 · 0.37 PPG
→ St. Cloud State (0.29 D1 FR PPG)
0.22 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Jory Mullin
Neumann · 2011-12
0.609 Average
actual D2/3 PPG
Matthew Lee
SUNY Brockport · 2024-25
0.731 Strong
actual D2/3 PPG
Blake Ulve
St. Norbert · 2021-22
0.552 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.