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Mitch Walinski Elite Prospects ↗

Position: Forward DOB: 1998-10-07 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
2015-16 South Shore Kings USPHL-Premier-Classic 6 2 0 2 0.333 0.1001 0.1127 0.2745 0.3091
2016-17 — NAHL 41 14 7 21 0.512 0.1902 0.2010 0.5423 0.5730
2017-18 Bismarck Bobcats NAHL 23 10 6 16 0.696 0.2583 0.2601 0.7366 0.7419
2018-19 — NAHL 50 19 14 33 0.660 0.2451 0.2359 0.6988 0.6725
■ 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
2022-23 Salve Regina D3 CNE SR 22 14 12 26 1.182
2021-22 Salve Regina D3 CNE JR 26 17 13 30 1.154
2020-21 Salve Regina D3 CNE SO 0 0 0 0 0.000
2019-20 Salve Regina D3 CNE FR 13 6 3 9 0.692
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.69
2019-20 · Salve Regina
+229.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
35%
NCAA D2/D3
40%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#14215
Forward overall
#498
Forward born in 1998

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Cody Pisarczyk
Wisconsin-Stevens Point · 2024-25
0.462 Average
actual D2/3 PPG
Cole Dubicki
Tufts · 2021-22
0.583 Average
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.