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Jake Livingstone Elite Prospects ↗

Position: Defense DOB: 1999-04-16 Country: Canada
Signed Professionally

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
2016-17 — BCHL 24 0 4 4 0.167 0.0642 0.0688 0.2426 0.2600
2017-18 Langley Rivermen BCHL 53 1 12 13 0.245 0.0945 0.0967 0.3570 0.3655
2018-19 Langley Rivermen BCHL 56 10 28 38 0.679 0.2615 0.2536 0.9876 0.9578
2019-20 Langley Rivermen BCHL 52 11 38 49 0.942 0.3631 0.3631 1.3713 1.3713
■ 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
2022-23 Minnesota State D1 BigTen — 39 8 27 35 0.897
2021-22 Minnesota State D1 CCHA — 44 9 22 31 0.705
2020-21 Minnesota State D1 WCHA FR 28 4 10 14 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.50
2020-21 · Minnesota State
+177.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

D1 Comparables

Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG

D2/3 Comparables

Ty Enns
Marian · 2017-18
0.923 Strong
actual D2/3 PPG
JC Humphreys
SUNY Cortland · 2023-24
0.481 Average
actual D2/3 PPG
Adam Stacho
St. Norbert · 2018-19
0.900 Strong
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.