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Chandler Madry Elite Prospects ↗

Position: Forward DOB: 1995-10-13 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
2012-13 Fairbanks Ice Dogs NAHL 38 3 10 13 0.342 0.1215 0.1347 0.3608 0.4000
2013-14 Fairbanks Ice Dogs NAHL 48 8 17 25 0.521 0.1850 0.1958 0.5493 0.5814
2014-15 Fairbanks Ice Dogs NAHL 60 22 55 77 1.283 0.4560 0.4587 1.3536 1.3617
■ 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
2018-19 Augsburg D1 MIAC SR 27 10 22 32 1.185
2018-19 Augsburg D3 MIAC — 27 10 22 32 1.185
2017-18 Augsburg D3 MIAC — 29 7 21 28 0.966
2016-17 Minnesota State D1 CCHA — 3 1 0 1 0.333
2015-16 Minnesota State D1 CCHA — 9 2 1 3 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.33
2015-16 · Minnesota State
+10.1% vs. projection

NCAAe Rankings

#13644
Forward overall
#545
Forward born in 1995
#527
in NAHL

D1 Comparables

Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Sam Rothstein
USHL · 2012-13 · 0.77 PPG
→ Colorado College (0.57 D1 FR PPG)
0.44 Strong
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Mickey Gilchrist
Middlebury · 2003-04
1.000 Elite
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2013-14
1.161 Elite
actual D2/3 PPG
Ryan Cole
Trinity · 2011-12
1.846 Elite
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.