icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Leksands IF | SDHL | 27 | 7 | 6 | 13 | 0.481 | 0.5561 | 0.5561 | — | — |
| 2020-21 | Djurgårdens IF | SDHL | 32 | 5 | 4 | 9 | 0.281 | 0.3248 | 0.3248 | — | — |
| 2021-22 | Djurgårdens IF | SDHL | 36 | 12 | 5 | 17 | 0.472 | 0.5454 | 0.5454 | — | — |
| 2022-23 | Djurgårdens IF | SDHL | 30 | 5 | 6 | 11 | 0.367 | 0.4235 | 0.4235 | — | — |
| 2023-24 | Djurgårdens IF | SDHL | 36 | 11 | 12 | 23 | 0.639 | 0.7379 | 0.7379 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | D1 | WCHA-W | — | 33 | 11 | 10 | 21 | 0.636 |
| 2024-25 | Penn State | D1 | WCHA-W | — | 38 | 7 | 4 | 11 | 0.289 |
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.