icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Linköping HC U20 | SHL-J20 | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Linköping HC U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Linköping HC U20 | SuperElit | 37 | 18 | 18 | 36 | 0.973 | 0.3839 | 0.3625 | 1.3214 | 1.2476 |
| 2013-14 | Waterloo Black Hawks | USHL | 55 | 29 | 20 | 49 | 0.891 | 0.5255 | 0.4648 | 2.6757 | 2.3668 |
| 2021-22 | Linköping HC | SHL | 42 | 18 | 10 | 28 | 0.667 | 1.6667 | 1.4776 | 8.6995 | 7.7126 |
| 2022-23 | Linköping HC | SHL | 52 | 10 | 16 | 26 | 0.500 | 1.2500 | 1.0786 | 6.5243 | 5.6299 |
| 2023-24 | Linköping HC | SHL | 49 | 21 | 12 | 33 | 0.673 | 1.6837 | 1.3443 | 8.7882 | 7.0166 |
| 2024-25 | Linköping HC | SHL | 51 | 12 | 17 | 29 | 0.569 | 1.4215 | 1.0517 | 7.4194 | 5.4892 |
| 2025-26 | Kölner Haie | DEL | 52 | 27 | 33 | 60 | 1.154 | 2.8845 | 2.5574 | 9.7821 | 8.6729 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | St. Cloud State | D1 | NCHC | SO | 41 | 20 | 21 | 41 | 1.000 |
| 2014-15 | St. Cloud State | D1 | NCHC | FR | 40 | 10 | 15 | 25 | 0.625 |
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.