| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wenatchee Wild | BCHL | 3 | 1 | 0 | 1 | 0.333 | 0.1242 | 0.1293 | 0.4857 | 0.5057 |
| 2023-24 | Chilliwack Chiefs | BCHL | 54 | 13 | 19 | 32 | 0.593 | 0.2207 | 0.2197 | 0.8635 | 0.8594 |
| 2024-25 | Chilliwack Chiefs | BCHL | 51 | 22 | 27 | 49 | 0.961 | 0.3579 | 0.3382 | 1.4000 | 1.3230 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | FR | 36 | 8 | 7 | 15 | 0.417 |
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.