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Simon Kjellberg Elite Prospects ↗

Position: Defense DOB: 2000-02-17 Country: Sweden
2018 NHL Draft Round 6, Pick #163  ·  New York Rangers New York Rangers
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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 Rögle BK U20 SHL-J20 21 1 6 7 0.333 0.1840 0.1994 0.4449 0.4821
2017-18 Rögle BK U20 SuperElit 43 4 5 9 0.209 0.0820 0.0848 0.2571 0.2658
2018-19 Dubuque Fighting Saints USHL 58 2 3 5 0.086 0.0530 0.0526 0.2540 0.2521
■ 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 Northern Michigan D1 CCHA — 32 4 10 14 0.438
2021-22 RPI D1 ECAC — 43 8 19 27 0.628
2020-21 RPI D1 ECAC — 0 0 0 0 0.000
2019-20 RPI D1 ECAC FR 32 5 6 11 0.344
2019-20 Rensselaer D1 — FR 32 5 6 11 0.344
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.34
2019-20 · RPI
+456.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
2%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

#20454
Defenseman overall
#3033
Defenseman born in 2000

D1 Comparables

Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Niklas Folin
USHL · 2012-13 · 0.16 PPG
→ UMass Lowell (0.26 D1 FR PPG)
0.09 Average D
NCAAe PPG
Richard Buri
USHL · 2012-13 · 0.04 PPG
→ Alabama-Huntsville (0.16 D1 FR PPG)
0.03 Average D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.14 No data
NCAAe PPG

D2/3 Comparables

Connor Inger
New England College · 2015-16
0.692 Strong
actual D2/3 PPG
Christian Worrell
Roger Williams · 2022-23
0.250 Developing
actual D2/3 PPG
Sean Allen
Hamilton · 2014-15
0.500 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.