| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Soo Thunderbirds | NOJHL | 20 | 5 | 6 | 11 | 0.550 | 0.1399 | 0.1399 | 0.2282 | 0.2282 |
| 2021-22 | Aurora Tigers | OJHL | 24 | 7 | 7 | 14 | 0.583 | 0.1752 | 0.1848 | 0.3993 | 0.4212 |
| 2022-23 | Sarnia Sting | OHL | 58 | 4 | 4 | 8 | 0.138 | 0.0800 | 0.0788 | 0.3534 | 0.3482 |
| 2023-24 | Sarnia Sting | OHL | 68 | 23 | 23 | 46 | 0.676 | 0.3926 | 0.3681 | 1.7335 | 1.6251 |
| 2024-25 | Sarnia Sting | OHL | 65 | 20 | 16 | 36 | 0.554 | 0.3214 | 0.2847 | 1.4191 | 1.2572 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | D1 | ECAC | FR | 35 | 5 | 5 | 10 | 0.286 |
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.