icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Linköping HC | SDHL | 2 | 1 | 0 | 1 | 0.500 | 0.5775 | 0.5946 | — | — |
| 2019-20 | Buffalo Beauts | PHF | 14 | 8 | 8 | 16 | 1.143 | — | — | — | — |
| 2020-21 | Buffalo Beauts | PHF | 6 | 0 | 1 | 1 | 0.167 | — | — | — | — |
| 2022-23 | Montréal Force | PHF | 24 | 2 | 7 | 9 | 0.375 | — | — | — | — |
| 2023-24 | Montréal Force | PHF | 24 | 2 | 7 | 9 | 0.375 | — | — | — | — |
| 2024-25 | Montréal Force | PHF | 24 | 2 | 7 | 9 | 0.375 | — | — | — | — |
| 2025-26 | Montréal Force | PHF | 24 | 2 | 7 | 9 | 0.375 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Maine | D1 | HEA-W | — | 36 | 13 | 17 | 30 | 0.833 |
| 2016-17 | Maine | D1 | HEA-W | — | 30 | 15 | 13 | 28 | 0.933 |
| 2015-16 | Maine | D1 | HEA-W | — | 35 | 9 | 9 | 18 | 0.514 |
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.