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Jared Pilet Elite Prospects ↗

Position: Defense DOB: 1993-12-18 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
2011-12 Aberdeen Wings NAHL 12 0 0 0 0.000 — — — —
2012-13 Kindersley Klippers SJHL 44 8 13 21 0.477 0.1223 0.1248 0.3598 0.3671
2013-14 Kindersley Klippers SJHL 54 4 14 18 0.333 0.0854 0.0826 0.2512 0.2430
■ 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
2017-18 Concordia D3 MIAC SR 27 1 8 9 0.333
2017-18 Concordia (WI) D3 NCHA SR 27 1 8 9 0.333
2016-17 Concordia D3 MIAC JR 23 1 2 3 0.130
2016-17 Concordia (WI) D3 NCHA JR 23 1 2 3 0.130
2015-16 Concordia D3 MIAC SO 23 2 3 5 0.217
2015-16 Concordia (WI) D3 NCHA SO 23 2 3 5 0.217
2014-15 Concordia D3 MIAC FR 25 1 7 8 0.320
2014-15 Concordia (WI) D3 NCHA FR 25 1 7 8 0.320
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.32
2014-15 · Concordia
+225.2% vs. projection

NCAAe Rankings

#18365
Defenseman overall
#1819
Defenseman born in 1993

D1 Comparables

Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG

D2/3 Comparables

Joey Sardina
Lake Forest · 2016-17
0.593 Average
actual D2/3 PPG
Peter Karavos
Wisconsin-River Falls · 2015-16
0.586 Average
actual D2/3 PPG
Connor Bradshaw
St. Norbert · 2011-12
0.364 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.