| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Soo Greyhounds | OHL | 68 | 8 | 11 | 19 | 0.279 | 0.1621 | 0.1780 | 0.7160 | 0.7862 |
| 2022-23 | Soo Greyhounds | OHL | 68 | 16 | 12 | 28 | 0.412 | 0.2390 | 0.2521 | 1.0552 | 1.1130 |
| 2023-24 | Soo Greyhounds | OHL | 68 | 24 | 18 | 42 | 0.618 | 0.3584 | 0.3609 | 1.5826 | 1.5935 |
| 2024-25 | Soo Greyhounds | OHL | 68 | 28 | 26 | 54 | 0.794 | 0.4608 | 0.4402 | 2.0349 | 1.9439 |
| 2025-26 | Soo Greyhounds | OHL | 24 | 6 | 4 | 10 | 0.417 | 0.2418 | 0.2188 | 1.0678 | 0.9664 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arizona State | D1 | NCHC | — | 4 | 0 | 0 | 0 | 0.000 |
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.