| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nanaimo Clippers | BCHL | 52 | 3 | 5 | 8 | 0.154 | 0.0573 | 0.0605 | 0.2241 | 0.2367 |
| 2022-23 | Nanaimo Clippers | BCHL | 52 | 3 | 17 | 20 | 0.385 | 0.1433 | 0.1443 | 0.5604 | 0.5644 |
| 2023-24 | Nanaimo Clippers | BCHL | 54 | 5 | 37 | 42 | 0.778 | 0.2897 | 0.2785 | 1.1333 | 1.0894 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | D1 | ECAC | SO | 18 | 2 | 5 | 7 | 0.389 |
| 2024-25 | Colgate | D1 | ECAC | — | 35 | 3 | 6 | 9 | 0.257 |
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.