| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Nepean Raiders | CCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Nepean Raiders | CCHL | 54 | 9 | 28 | 37 | 0.685 | 0.2188 | 0.2091 | 0.5304 | 0.5068 |
| 2022-23 | — | CCHL | 52 | 9 | 29 | 38 | 0.731 | 0.2333 | 0.2125 | 0.5657 | 0.5152 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Potsdam | D3 | SUNYAC | FR | 8 | 0 | 2 | 2 | 0.250 |
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.