| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Chilliwack Chiefs | BCHL | 28 | 0 | 10 | 10 | 0.357 | 0.1330 | 0.1405 | 0.7366 | 0.7620 |
| 2023-24 | Chilliwack Chiefs | BCHL | 54 | 5 | 25 | 30 | 0.556 | 0.2070 | 0.2092 | 0.8096 | 0.8184 |
| 2024-25 | Shawinigan Cataractes | QMJHL | 18 | 1 | 2 | 3 | 0.167 | 0.0829 | 0.0778 | 0.4446 | 0.4171 |
| 2025-26 | Chilliwack Chiefs | BCHL | 24 | 4 | 25 | 29 | 1.208 | 0.4501 | 0.4158 | 1.7606 | 1.6265 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northern Michigan | D1 | CCHA | FR | 14 | 0 | 4 | 4 | 0.286 |
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.