| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Surrey Eagles | BCHL | 18 | 6 | 3 | 9 | 0.500 | 0.1946 | 0.1946 | 0.7291 | 0.7291 |
| 2021-22 | Camrose Kodiaks | AJHL | 18 | 5 | 6 | 11 | 0.611 | 0.2041 | 0.2013 | 0.5673 | 0.5596 |
| 2022-23 | Navan Grads | CCHL | 55 | 22 | 44 | 66 | 1.200 | 0.3425 | 0.3219 | 0.9289 | 0.8731 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Plattsburgh | D3 | SUNYAC | FR | 27 | 10 | 11 | 21 | 0.778 |
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.