| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Salmon Arm Silverbacks | BCHL | 31 | 2 | 6 | 8 | 0.258 | 0.0994 | 0.1053 | 0.3756 | 0.3979 |
| 2022-23 | — | BCHL | 47 | 2 | 17 | 19 | 0.404 | 0.1558 | 0.1574 | 0.5884 | 0.5945 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Dartmouth | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Dartmouth | D1 | ECAC | — | 22 | 0 | 4 | 4 | 0.182 |
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.