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Derek Serdachny Elite Prospects ↗

Position: Forward DOB: 1988-11-24 Country: Canada
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
2005-06 Yorkton Terriers SJHL 6 2 3 5 0.833 0.2135 0.2383 0.6281 0.7012
2006-07 Yorkton Terriers SJHL 55 22 25 47 0.855 0.2189 0.2328 0.6441 0.6850
2007-08 Yorkton Terriers SJHL 47 13 20 33 0.702 0.1799 0.1820 0.5292 0.5353
2008-09 Yorkton Terriers SJHL 56 17 28 45 0.804 0.2059 0.1980 0.6058 0.5825
■ 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
2011-12 Manhattanville D3 UCHC JR 25 4 3 7 0.280
2010-11 Manhattanville D3 UCHC SO 18 1 1 2 0.111
2009-10 Manhattanville D3 UCHC FR 23 3 5 8 0.348
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.35
2009-10 · Manhattanville
+112.1% vs. projection

NCAAe Rankings

#22900
Forward overall
#802
Forward born in 1988
#304
in SJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Alex Nagel
Wisconsin-Stout · 2017-18
0.423 Average
actual D2/3 PPG
Kyler Matthews
Canton · 2017-18
0.941 Strong
actual D2/3 PPG
Aidan Canady
Post · 2023-24
0.630 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.