icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | AIK | SDHL | 18 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | SDE HF | SDHL | 33 | 2 | 1 | 3 | 0.091 | 0.1063 | 0.1063 | — | — |
| 2017-18 | Leksands IF | SDHL | 32 | 2 | 2 | 4 | 0.125 | 0.1462 | 0.1462 | — | — |
| 2018-19 | Leksands IF | SDHL | 35 | 6 | 4 | 10 | 0.286 | 0.3341 | 0.3341 | — | — |
| 2020-21 | AIK | SDHL | 14 | 0 | 1 | 1 | 0.071 | 0.0835 | 0.0835 | — | — |
| 2024-25 | Frölunda HC | SDHL | 36 | 3 | 5 | 8 | 0.222 | 0.2599 | 0.2287 | — | — |
| 2025-26 | SDE HF | SDHL | 36 | 3 | 4 | 7 | 0.194 | 0.2274 | 0.1914 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Penn State | D1 | WCHA-W | — | 38 | 3 | 4 | 7 | 0.184 |
| 2022-23 | LIU | D1 | CHA-W | SR | 36 | 1 | 9 | 10 | 0.278 |
| 2022-23 | Long Island Univ. | D1 | CHA-W | SR | 36 | 1 | 9 | 10 | 0.278 |
| 2021-22 | Long Island Univ. | D1 | CHA-W | JR | 33 | 6 | 8 | 14 | 0.424 |
| 2020-21 | Long Island Univ. | D1 | CHA-W | SO | 12 | 3 | 6 | 9 | 0.750 |
| 2019-20 | Long Island Univ. | D1 | CHA-W | FR | 32 | 12 | 7 | 19 | 0.594 |
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.