IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Kent Johnson Elite Prospects ↗

Position: Forward DOB: 2002-10-18 Country: Canada
2021 · Round 1, Pick #5  ·  Columbus Blue Jackets Columbus Blue Jackets
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
2017-18 — BCHL 2 0 0 0 0.000 — — — —
2018-19 — BCHL 57 20 26 46 0.807 0.3109 0.3560 1.1744 1.3449
2019-20 — BCHL 52 41 60 101 1.942 0.7484 0.7484 2.8266 2.8266
■ 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
2021-22 Michigan D1 BigTen SO 32 8 29 37 1.156
2020-21 Michigan D1 BigTen FR 26 9 18 27 1.038
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
1.04
2020-21 · Michigan
+240.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
0%
NCAA D2/D3
55%
Pro / Other

NCAAe Rankings

D1 Comparables

Jake Wahlin
USHL · 2012-13 · 0.67 PPG
→ St. Cloud State (0.34 D1 FR PPG)
0.44 Developing
NCAAe PPG
Dylan Gambrell
USHL · 2012-13 · 0.47 PPG
→ Denver (1.15 D1 FR PPG)
0.31 Elite
NCAAe PPG
Kyle Connor
USHL · 2012-13 · 0.66 PPG
→ Michigan (1.87 D1 FR PPG)
0.44 Elite
NCAAe PPG
Anders Bjork
NTDP-U18 · 2012-13 · 0.43 PPG
→ Notre Dame (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Dylan Larkin
NTDP-U18 · 2012-13 · 0.49 PPG
→ Michigan (1.34 D1 FR PPG)
0.38 Elite
NCAAe PPG

D2/3 Comparables

Jax Murray
Trinity · 2014-15
0.875 Strong
actual D2/3 PPG
Travis Janke
Norwich · 2005-06
1.258 Elite
actual D2/3 PPG
Nate Pionk
St. Scholastica · 2014-15
0.615 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.