icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | RINK HA Winnipeg U18 Prep | CSSHL-U18W | 2 | 1 | 0 | 1 | 0.500 | 0.1145 | 0.1145 | — | — |
| 2022-23 | Shattuck-St. Mary's 19U | 19U-AAA-W | 44 | 9 | 13 | 22 | 0.500 | 0.1727 | 0.1831 | — | — |
| 2023-24 | Balmoral Hall | JWHL-U19 | 22 | 1 | 11 | 12 | 0.545 | 0.1814 | 0.1781 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | CHA-W | — | 36 | 4 | 9 | 13 | 0.361 |
| 2024-25 | Post | D1 | CHA-W | FR | 37 | 10 | 16 | 26 | 0.703 |
| 2024-25 | Post | D3 | — | FR | 33 | 6 | 16 | 22 | 0.667 |
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.