| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Toledo Cherokee | USPHL-Premier | 17 | 6 | 3 | 9 | 0.529 | 0.1745 | 0.1934 | 0.1801 | 0.1996 |
| 2022-23 | Soo Eagles | NOJHL | 22 | 8 | 8 | 16 | 0.727 | 0.1850 | 0.1934 | 0.3018 | 0.3155 |
| 2023-24 | — | OJHL | 28 | 3 | 4 | 7 | 0.250 | 0.0751 | 0.0744 | 0.1711 | 0.1696 |
| 2024-25 | Potomac Patriots | USPHL-Premier | 16 | 13 | 10 | 23 | 1.438 | 0.4738 | 0.4513 | 0.4890 | 0.4658 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Worcester State | D3 | MASCAC | — | 26 | 13 | 7 | 20 | 0.769 |
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.