| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | OJHL | 51 | 16 | 22 | 38 | 0.745 | 0.2082 | 0.2082 | 0.5142 | 0.5142 |
| 2020-21 | Caledon Admirals | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Burlington Cougars | OJHL | 49 | 16 | 29 | 45 | 0.918 | 0.2566 | 0.2362 | 0.6338 | 0.5833 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Skidmore | D3 | SUNYAC | SR | 15 | 4 | 0 | 4 | 0.267 |
| 2024-25 | Skidmore | D3 | SUNYAC | JR | 15 | 2 | 5 | 7 | 0.467 |
| 2023-24 | Skidmore | D3 | SUNYAC | SO | 5 | 1 | 3 | 4 | 0.800 |
| 2022-23 | Skidmore | D3 | SUNYAC | FR | 5 | 2 | 0 | 2 | 0.400 |
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.