| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Kemptville 73's | CCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Kemptville 73's | CCHL | 55 | 25 | 28 | 53 | 0.964 | 0.2750 | 0.2636 | 0.7459 | 0.7149 |
| 2022-23 | Lloydminster Bobcats | AJHL | 52 | 28 | 21 | 49 | 0.942 | 0.3147 | 0.2866 | 0.8747 | 0.7965 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Oswego | D3 | SUNYAC | FR | 20 | 6 | 3 | 9 | 0.450 |
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.