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Mitch Machlitt Elite Prospects ↗

Position: Forward DOB: 1999-01-15 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
2014-15 Breck School USHS-MN 25 6 11 17 0.680 0.0861 0.0898 0.1651 0.1722
2016-17 Minnesota Magicians NAHL 7 2 1 3 0.429 0.1575 0.1686 0.4530 0.4848
2018-19 — NAHL 48 13 20 33 0.688 0.2526 0.2466 0.7266 0.7092
2019-20 New Jersey Jr. Titans NAHL 50 24 38 62 1.240 0.4556 0.4556 1.3106 1.3106
■ 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
2023-24 SUNY Geneseo D3 SUNYAC SR 26 7 10 17 0.654
2022-23 SUNY Geneseo D3 SUNYAC JR 22 5 12 17 0.773
2021-22 Army D1 AHA SO 26 3 9 12 0.462
2020-21 Army D1 AHA FR 22 5 11 16 0.727
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.73
2020-21 · Army
+294.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#11965
Forward overall
#541
Forward born in 1999

D1 Comparables

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

Chase Nieuwendyk
SUNY Brockport · 2010-11
0.667 Strong
actual D2/3 PPG
Louis Ouellet
Westfield State · 2023-24
0.591 Average
actual D2/3 PPG
Rece Bergeman
Fitchburg State · 2018-19
0.667 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.