| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | OHL | 59 | 8 | 11 | 19 | 0.322 | 0.1869 | 0.2012 | 0.8251 | 0.8884 |
| 2022-23 | — | OHL | 64 | 17 | 11 | 28 | 0.438 | 0.2539 | 0.2624 | 1.1211 | 1.1586 |
| 2023-24 | Saginaw Spirit | OHL | 67 | 12 | 12 | 24 | 0.358 | 0.2079 | 0.2049 | 0.9179 | 0.9046 |
| 2024-25 | Saginaw Spirit | OHL | 62 | 13 | 18 | 31 | 0.500 | 0.2902 | 0.2710 | 1.2812 | 1.1966 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Miami | D1 | NCHC | FR | 35 | 4 | 12 | 16 | 0.457 |
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.