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Mitch Kontny Elite Prospects ↗

Position: Forward DOB: 1992-03-30 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
2011-12 Alaska Avalanche NAHL 56 18 21 39 0.696 0.2586 0.2539 0.7373 0.7240
2012-13 Johnstown Tomahawks NAHL 59 21 19 40 0.678 0.2517 0.2345 0.7179 0.6688
■ 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 Wisconsin-River Falls D3 BigTen SR 27 4 9 13 0.481
2015-16 Wisconsin-River Falls D3 BigTen JR 21 4 7 11 0.524
2014-15 Wisconsin-River Falls D3 BigTen SO 28 8 10 18 0.643
2013-14 Wisconsin-River Falls D3 BigTen FR 27 10 6 16 0.593
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.59
2013-14 · Wisconsin-River Falls
+185.7% vs. projection

NCAAe Rankings

#14141
Forward overall
#617
Forward born in 1992
#958
in NAHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Alex Sanchez
Aurora · 2015-16
0.000 No data
actual D2/3 PPG
Noah Trathen
UMass Dartmouth · 2023-24
0.000 No data
actual D2/3 PPG
Tyler Cann
Elmira · 2004-05
0.786 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.