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Jake Bischoff Elite Prospects ↗

Position: Defense DOB: 1994-07-25 Country: USA
2012 · Round 6, Pick #185  ·  New York Islanders New York Islanders
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 Omaha Lancers USHL 10 0 1 1 0.100 0.0590 0.0627 0.3003 0.3190
2012-13 Omaha Lancers USHL 12 0 2 2 0.167 0.0983 0.0992 0.5007 0.5052
■ 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
2016-17 Minnesota D1 BigTen SR 38 5 27 32 0.842
2015-16 Minnesota D1 BigTen JR 37 6 12 18 0.486
2014-15 Minnesota D1 BigTen SO 36 3 8 11 0.306
2013-14 Minnesota D1 BigTen FR 28 3 4 7 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.25
2013-14 · Minnesota
+212.9% vs. projection

NCAAe Rankings

#19483
Defenseman overall
#2082
Defenseman born in 1994
#3941
in USHL

D1 Comparables

Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.19 Developing D
NCAAe PPG

D2/3 Comparables

Ryan Willett
Endicott · 2018-19
0.643 Average
actual D2/3 PPG
Lucas Herrmann
Utica · 2018-19
1.207 Elite
actual D2/3 PPG
Zander Allen
Framingham State · 2015-16
0.000 No data
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.