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Tanner Hicks Elite Prospects ↗

Position: Defense DOB: 1992-04-10 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 Olds Grizzlys AJHL 5 0 0 0 0.000 — — — —
2010-11 Alberni Valley Bulldogs BCHL 26 1 12 13 0.500 0.1862 0.1901 0.7286 0.7438
2011-12 — BCHL 31 2 12 14 0.452 0.1682 0.1625 0.6580 0.6356
2012-13 Brooks Bandits AJHL 45 6 18 24 0.533 0.1769 0.1626 0.4943 0.4543
■ 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 Manhattanville D3 UCHC SR 26 3 13 16 0.615
2015-16 Manhattanville D3 UCHC JR 22 0 10 10 0.455
2014-15 Manhattanville D3 UCHC SO 23 1 6 7 0.304
2013-14 Manhattanville D3 UCHC FR 23 3 3 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.26
2013-14 · Manhattanville
+70.0% vs. projection

NCAAe Rankings

#8293
Defenseman overall
#1201
Defenseman born in 1992
#1266
in AJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota (0.06 D1 FR PPG)
0.05 Developing D
NCAAe PPG

D2/3 Comparables

Adam Scuglia
SUNY Plattsburgh · 2010-11
0.333 Developing
actual D2/3 PPG
Erick Ware
SUNY Potsdam · 2010-11
0.809 Strong
actual D2/3 PPG
Mitch Shaheen
Endicott · 2018-19
0.704 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.