| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Windsor Spitfires | OHL | 65 | 7 | 18 | 25 | 0.385 | 0.2232 | 0.2229 | 0.9855 | 0.9843 |
| 2023-24 | Windsor Spitfires | OHL | 66 | 13 | 21 | 34 | 0.515 | 0.2990 | 0.2843 | 1.3202 | 1.2554 |
| 2024-25 | Windsor Spitfires | OHL | 68 | 32 | 41 | 73 | 1.073 | 0.6230 | 0.5603 | 2.7508 | 2.4739 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowling Green | D1 | CCHA | FR | 30 | 9 | 6 | 15 | 0.500 |
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.