| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Windsor Spitfires | OHL | 50 | 6 | 3 | 9 | 0.180 | 0.1041 | 0.1024 | 0.4625 | 0.4551 |
| 2022-23 | Windsor Spitfires | OHL | 63 | 22 | 45 | 67 | 1.063 | 0.6152 | 0.5787 | 2.7327 | 2.5704 |
| 2023-24 | Windsor Spitfires | OHL | 67 | 37 | 43 | 80 | 1.194 | 0.6907 | 0.6166 | 3.0680 | 2.7389 |
| 2024-25 | Univ. of New Brunswick | USports-M | 19 | 7 | 9 | 16 | 0.842 | 0.4443 | 0.4748 | 2.4682 | 2.6375 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | D1 | CCHA | SO | 34 | 20 | 16 | 36 | 1.059 |
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.