| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Alberni Valley Bulldogs | BCHL | 39 | 4 | 8 | 12 | 0.308 | 0.1146 | 0.1182 | 0.4483 | 0.4624 |
| 2022-23 | — | BCHL | 53 | 14 | 18 | 32 | 0.604 | 0.2249 | 0.2209 | 0.8798 | 0.8643 |
| 2023-24 | — | BCHL | 55 | 11 | 30 | 41 | 0.746 | 0.2777 | 0.2601 | 1.0863 | 1.0174 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | AHA | SO | 34 | 7 | 9 | 16 | 0.471 |
| 2024-25 | Stonehill | D1 | AHA | — | 29 | 3 | 4 | 7 | 0.241 |
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.