icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Shattuck St. Mary's 16U | USHS-W | 61 | 6 | 13 | 19 | 0.311 | 0.0907 | 0.0932 | — | — |
| 2014-15 | Shattuck St. Mary's Prep | USHS-W | 57 | 3 | 5 | 8 | 0.140 | 0.0409 | 0.0380 | — | — |
| 2019-20 | Djurgårdens IF | SDHL | 36 | 5 | 11 | 16 | 0.444 | 0.5133 | 0.5133 | — | — |
| 2020-21 | Buffalo Beauts | PHF | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Buffalo Beauts | PHF | 20 | 6 | 5 | 11 | 0.550 | — | — | — | — |
| 2022-23 | Buffalo Beauts | PHF | 23 | 1 | 9 | 10 | 0.435 | — | — | — | — |
| 2023-24 | Buffalo Beauts | PHF | 23 | 1 | 9 | 10 | 0.435 | — | — | — | — |
| 2024-25 | SDE HF | SDHL | 36 | 4 | 8 | 12 | 0.333 | 0.3850 | 0.3057 | — | — |
| 2025-26 | Buffalo Beauts | PHF | 23 | 1 | 9 | 10 | 0.435 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Merrimack | D1 | — | — | 36 | 7 | 14 | 21 | 0.583 |
| 2017-18 | Merrimack | D1 | — | — | 34 | 2 | 7 | 9 | 0.265 |
| 2016-17 | Merrimack | D1 | — | — | 34 | 4 | 11 | 15 | 0.441 |
| 2015-16 | Merrimack | D1 | — | — | 34 | 2 | 9 | 11 | 0.324 |
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.