| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Windsor Spitfires | OHL | 47 | 3 | 2 | 5 | 0.106 | 0.0616 | 0.0668 | 0.2727 | 0.2957 |
| 2022-23 | — | OHL | 69 | 7 | 7 | 14 | 0.203 | 0.1174 | 0.1222 | 0.5199 | 0.5413 |
| 2023-24 | London Knights | OHL | 16 | 0 | 4 | 4 | 0.250 | 0.1446 | 0.1436 | 0.6406 | 0.6363 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Forest | D3 | NCHA | — | 26 | 14 | 3 | 17 | 0.654 |
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.