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Ian Scherzer Elite Prospects ↗

Position: Forward DOB: 2005-07-03 Country: Austria
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
No commitment set

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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
2021-22 Rögle BK U20 SuperElit 8 0 0 0 0.000 — — — —
2022-23 Rögle BK U20 SHL-J20 30 3 4 7 0.233 0.1288 0.1357 0.3114 0.3280
2023-24 Rögle BK U20 SuperElit 35 2 9 11 0.314 0.1231 0.1237 0.3861 0.3879
2024-25 Madison Capitols USHL 39 8 12 20 0.513 0.3152 0.3020 1.5108 1.4474
■ 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
2025-26 RPI D1 ECAC FR 28 4 5 9 0.321
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.32
2025-26 · RPI
+62.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

65%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#24288
Forward overall
#1376
Forward born in 2005

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Conlan Keenan
SUNY Geneseo · 2014-15
1.296 Elite
actual D2/3 PPG
Michel Bond
SUNY Geneseo · 2000-01
1.083 Elite
actual D2/3 PPG
Jason Cassells
Elmira · 2000-01
0.955 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.