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Brodie Tutton Elite Prospects ↗

Position: Forward DOB: 1994-04-11 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
2011-12 Collingwood Blues OJHL 35 6 6 12 0.343 0.0840 0.0891 0.2361 0.2503
2012-13 Pickering Panthers OJHL 55 16 14 30 0.545 0.1337 0.1351 0.3756 0.3795
2013-14 Pickering Panthers OJHL 53 26 31 57 1.075 0.2636 0.2529 0.7405 0.7104
2014-15 Stouffville Spirit OJHL 49 26 32 58 1.184 0.2901 0.2633 0.8150 0.7397
■ 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
2015-16 SUNY Geneseo D3 SUNYAC FR 22 3 8 11 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.50
2015-16 · SUNY Geneseo
+125.4% vs. projection

NCAAe Rankings

#15980
Forward overall
#654
Forward born in 1994
#531
in OJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Andrew Kimball
Lake Forest · 2021-22
0.667 Strong
actual D2/3 PPG
Vadim Vasjonkin
Buffalo State · 2016-17
0.889 Strong
actual D2/3 PPG
Matthew Monreal
Southern New Hampshire · 2018-19
0.450 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.