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Daniel Chladek Elite Prospects ↗

Position: Forward DOB: 1999-04-07 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
2017-18 Wenatchee Wild BCHL 47 8 13 21 0.447 0.1722 0.1761 0.6502 0.6648
2018-19 Bismarck Bobcats NAHL 42 19 11 30 0.714 0.2624 0.2591 0.7539 0.7443
2019-20 Bismarck Bobcats NAHL 40 12 16 28 0.700 0.2572 0.2572 0.7389 0.7389
■ 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
2024-25 Augsburg D3 MIAC — 25 2 8 10 0.400
2023-24 Augsburg D3 MIAC — 25 9 10 19 0.760
2022-23 Augsburg D3 MIAC — 24 8 10 18 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.75
2022-23 · Augsburg
+287.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#20572
Forward overall
#1015
Forward born in 1999

D1 Comparables

Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Ty Broad
Trinity · 2022-23
0.870 Strong
actual D2/3 PPG
Matt Dahlseide
Wisconsin-Stout · 2018-19
0.545 Average
actual D2/3 PPG
Nick Perruccio
Neumann · 2011-12
0.545 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.