| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | BCHL | 50 | 6 | 13 | 19 | 0.380 | 0.1416 | 0.1442 | 0.5537 | 0.5639 |
| 2023-24 | Prince George Spruce Kings | BCHL | 54 | 12 | 24 | 36 | 0.667 | 0.2483 | 0.2415 | 0.9714 | 0.9447 |
| 2024-25 | Prince George Spruce Kings | BCHL | 20 | 5 | 7 | 12 | 0.600 | 0.2235 | 0.2061 | 0.8743 | 0.8063 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | AHA | FR | 38 | 12 | 5 | 17 | 0.447 |
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.