| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | CCHL | 54 | 15 | 19 | 34 | 0.630 | 0.1797 | 0.1812 | 0.4874 | 0.4915 |
| 2022-23 | — | OJHL | 46 | 10 | 15 | 25 | 0.543 | 0.1519 | 0.1451 | 0.3751 | 0.3583 |
| 2023-24 | St. Michael's Buzzers | OJHL | 55 | 26 | 49 | 75 | 1.364 | 0.3810 | 0.3442 | 0.9410 | 0.8501 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | SUNY Oswego | D3 | SUNYAC | FR | 4 | 0 | 1 | 1 | 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.