| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Jersey Rockets | NCDC | 28 | 10 | 16 | 26 | 0.929 | 0.2146 | 0.2146 | 0.7483 | 0.7483 |
| 2021-22 | Surrey Eagles | BCHL | 53 | 24 | 24 | 48 | 0.906 | 0.3490 | 0.3523 | 1.3161 | 1.3285 |
| 2022-23 | Surrey Eagles | BCHL | 53 | 22 | 34 | 56 | 1.057 | 0.4071 | 0.3910 | 1.5353 | 1.4746 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sacred Heart | D1 | AHA | JR | 37 | 1 | 5 | 6 | 0.162 |
| 2024-25 | Sacred Heart | D1 | AHA | JR | 22 | 3 | 4 | 7 | 0.318 |
| 2023-24 | Sacred Heart | D1 | AHA | SO | 36 | 3 | 7 | 10 | 0.278 |
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.