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Tommy Grant Elite Prospects ↗

Position: Forward DOB: 1986-08-29 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
2004-05 Victoria Grizzlies BCHL 51 11 8 19 0.372 0.1435 0.1494 0.5421 0.5644
2005-06 Victoria Grizzlies BCHL 50 6 10 16 0.320 0.1233 0.1222 0.4657 0.4615
2006-07 BCHL 56 36 39 75 1.339 0.5160 0.4837 1.9491 1.8271
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
2018-19 RPI D1 ECAC SR 36 0 5 5 0.139
2018-19 Rensselaer D1 SR 36 0 5 5 0.139
2017-18 RPI D1 ECAC JR 30 0 1 1 0.033
2016-17 RPI D1 ECAC SO 18 0 2 2 0.111
2015-16 RPI D1 ECAC FR 29 2 1 3 0.103
2010-11 Alaska Anchorage D1 WCHA SR 37 16 16 32 0.865
2009-10 Alaska Anchorage D1 WCHA JR 34 9 17 26 0.765
2008-09 Alaska Anchorage D1 WCHA SO 32 15 10 25 0.781
2007-08 Alaska Anchorage D1 WCHA FR 31 5 2 7 0.226
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
Actual FR PPG
0.23
2007-08 · Alaska Anchorage
-22.2% vs. projection

NCAAe Rankings

#16454
Forward overall
#562
Forward born in 1986
#670
in BCHL

D1 Comparables

USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.44 Developing
NCAAe PPG
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Anna Maria · 2018-19
0.706 Strong
actual D2/3 PPG
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Saint Mary's (MN) · 2010-11
1.200 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.