icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Shattuck St. Mary's 16U | USHS-W | 53 | 14 | 21 | 35 | 0.660 | 0.1922 | 0.2036 | — | — |
| 2013-14 | Shattuck St. Mary's Prep | USHS-W | 40 | 26 | 31 | 57 | 1.425 | 0.4148 | 0.4011 | — | — |
| 2014-15 | Shattuck St. Mary's Prep | USHS-W | 50 | 56 | 38 | 94 | 1.880 | 0.5473 | 0.5030 | — | — |
| 2019-20 | Brynäs IF | SDHL | 8 | 0 | 6 | 6 | 0.750 | 0.8662 | 0.8662 | — | — |
| 2020-21 | Connecticut Whale | PHF | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Connecticut Whale | PHF | 7 | 1 | 1 | 2 | 0.286 | — | — | — | — |
| 2022-23 | Connecticut Whale | PHF | 24 | 7 | 9 | 16 | 0.667 | — | — | — | — |
| 2023-24 | Connecticut Whale | PHF | 24 | 7 | 9 | 16 | 0.667 | — | — | — | — |
| 2024-25 | Connecticut Whale | PHF | 24 | 7 | 9 | 16 | 0.667 | — | — | — | — |
| 2025-26 | Connecticut Whale | PHF | 24 | 7 | 9 | 16 | 0.667 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Quinnipiac | D1 | ECAC-W | SR | 34 | 13 | 10 | 23 | 0.676 |
| 2017-18 | Quinnipiac | D1 | ECAC-W | JR | 35 | 15 | 10 | 25 | 0.714 |
| 2016-17 | Quinnipiac | D1 | ECAC-W | SO | 37 | 10 | 19 | 29 | 0.784 |
| 2015-16 | Quinnipiac | D1 | ECAC-W | FR | 38 | 16 | 16 | 32 | 0.842 |
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.