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Mitchell Mattson Elite Prospects ↗

Position: Forward DOB: 1998-01-02 Country: USA
2016 · Round 5, Pick #126  ·  Calgary Flames Calgary Flames
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
2014-15 Central Illinois Flying Aces USHL 13 2 5 7 0.538 0.3177 0.3447 1.6173 1.7549
2015-16 Central Illinois Flying Aces USHL 21 2 0 2 0.095 0.0562 0.0584 0.2859 0.2969
2016-17 Central Illinois Flying Aces USHL 55 12 16 28 0.509 0.3003 0.2966 1.5290 1.5100
2017-18 Sioux Falls Stampede USHL 53 9 12 21 0.396 0.2337 0.2192 1.1899 1.1161
■ 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
2021-22 Michigan D1 BigTen — 23 1 2 3 0.130
2021-22 Michigan State D1 BigTen — 23 1 1 2 0.087
2020-21 Michigan State D1 BigTen JR 21 2 2 4 0.191
2019-20 Michigan State D1 BigTen SO 22 0 1 1 0.045
2018-19 Michigan State D1 BigTen FR 14 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
15%
NCAA D2/D3
30%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#24960
Forward overall
#1219
Forward born in 1998
#2411
in USHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Ross Olsson
Endicott · 2014-15
1.364 Elite
actual D2/3 PPG
Bryan Hovanec
Lebanon Valley · 2014-15
0.760 Strong
actual D2/3 PPG
Kerry Barchan
Buffalo State · 2006-07
0.731 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.