| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Brooks Bandits | AJHL | 55 | 10 | 13 | 23 | 0.418 | 0.1388 | 0.1410 | 0.3876 | 0.3936 |
| 2023-24 | Brooks Bandits | AJHL | 42 | 6 | 28 | 34 | 0.809 | 0.2686 | 0.2601 | 0.7502 | 0.7265 |
| 2024-25 | Brooks Bandits | BCHL | 54 | 10 | 37 | 47 | 0.870 | 0.3242 | 0.2983 | 1.2683 | 1.1671 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | D1 | HockeyEast | FR | 38 | 1 | 10 | 11 | 0.289 |
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.