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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 0.0958 0.1016 0.2366 0.2508
2012-13 Pickering Panthers OJHL 55 16 14 30 0.545 0.1524 0.1540 0.3764 0.3803
2013-14 Pickering Panthers OJHL 53 26 31 57 1.075 0.3005 0.2883 0.7422 0.7120
2014-15 Stouffville Spirit OJHL 49 26 32 58 1.184 0.3307 0.3001 0.8169 0.7414
■ 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 — FR 22 3 8 11 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.50
2015-16 · SUNY Geneseo
+97.8% vs. projection

NCAAe Rankings

#11947
Forward overall
#491
Forward born in 1994
#624
in OJHL

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.29 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG

D2/3 Comparables

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