| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Collingwood Blues | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Florida Eels | USPHL-Premier | 15 | 1 | 10 | 11 | 0.733 | 0.2417 | 0.2417 | — | — |
| 2021-22 | — | OJHL | 56 | 9 | 30 | 39 | 0.696 | 0.2092 | 0.2032 | 0.4767 | 0.4631 |
| 2022-23 | Burlington Cougars | OJHL | 47 | 10 | 44 | 54 | 1.149 | 0.3451 | 0.3176 | 0.7864 | 0.7237 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | JR | 34 | 1 | 11 | 12 | 0.353 |
| 2024-25 | RIT | D1 | AHA | SR | 24 | 3 | 3 | 6 | 0.250 |
| 2023-24 | RIT | D1 | AHA | JR | 30 | 2 | 6 | 8 | 0.267 |
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.