| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Guelph Storm | OHL | 68 | 12 | 33 | 45 | 0.662 | 0.3840 | 0.3969 | 1.6959 | 1.7530 |
| 2022-23 | Guelph Storm | OHL | 68 | 18 | 21 | 39 | 0.574 | 0.3328 | 0.3296 | 1.4696 | 1.4556 |
| 2023-24 | Guelph Storm | OHL | 65 | 25 | 30 | 55 | 0.846 | 0.4910 | 0.4628 | 2.1684 | 2.0439 |
| 2024-25 | Guelph Storm | OHL | 48 | 11 | 21 | 32 | 0.667 | 0.3869 | 0.3447 | 1.7084 | 1.5222 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | D1 | BigTen | FR | 37 | 15 | 22 | 37 | 1.000 |
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.