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Ben Schmidling Elite Prospects ↗

Position: Forward DOB: 1998-03-10 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
2016-17 Janesville Jets NAHL 35 4 14 18 0.514 0.1890 0.1942 0.5428 0.5578
2017-18 — NAHL 57 16 15 31 0.544 0.1998 0.1955 0.5741 0.5616
2018-19 Springfield Jr. Blues NAHL 60 37 31 68 1.133 0.4164 0.3887 1.1962 1.1167
■ 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 St. Norbert D3 NCHA SR 28 12 21 33 1.179
2021-22 St. Norbert D3 NCHA JR 22 6 7 13 0.591
2020-21 St. Norbert D3 NCHA SO 0 0 0 0 0.000
2019-20 St. Norbert D1 NCHA FR 24 12 8 20 0.833
2019-20 St. Norbert D3 NCHA FR 24 12 8 20 0.833
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.83
2019-20 · St. Norbert
+212.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
2%
NCAA D2/D3
35%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14017
Forward overall
#639
Forward born in 1998
#597
in NAHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

John Moncovich
Utica · 2018-19
0.864 Strong
actual D2/3 PPG
John Scorcia
Salve Regina · 2010-11
1.160 Elite
actual D2/3 PPG
Brian Depp
Elmira · 2011-12
0.636 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.