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Max Coatta Elite Prospects ↗

Position: Forward DOB: 1994-04-22 Country: USA
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
2012-13 Lincoln Stars USHL 8 0 4 4 0.500 0.2949 0.2937 1.5017 1.4958
2013-14 Penticton Vees BCHL 50 15 17 32 0.640 0.2466 0.2402 0.9314 0.9072
2014-15 Waterloo Black Hawks USHL 60 15 14 29 0.483 0.2851 0.2566 1.4515 1.3065
■ 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 Minnesota State D1 WCHA SR 33 8 7 15 0.455
2017-18 Minnesota State D1 WCHA JR 40 5 6 11 0.275
2016-17 Minnesota State D1 WCHA SO 39 6 7 13 0.333
2015-16 Minnesota State D1 WCHA FR 36 5 8 13 0.361
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.36
2015-16 · Minnesota State
+68.7% vs. projection

NCAAe Rankings

#18794
Forward overall
#744
Forward born in 1994
#1840
in USHL

D1 Comparables

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

D2/3 Comparables

Bryan Yim
Adrian · 2014-15
1.138 Elite
actual D2/3 PPG
Bates Ling
New England College · 2024-25
0.000 No data
actual D2/3 PPG
Kailin Chen
UMass Dartmouth · 2024-25
1.454 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.