| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saginaw Spirit | OHL | 63 | 7 | 15 | 22 | 0.349 | 0.2020 | 0.2188 | 0.8973 | 0.9718 |
| 2022-23 | Saginaw Spirit | OHL | 67 | 8 | 19 | 27 | 0.403 | 0.2331 | 0.2424 | 1.0355 | 1.0767 |
| 2023-24 | Saginaw Spirit | OHL | 60 | 10 | 24 | 34 | 0.567 | 0.3278 | 0.3251 | 1.4561 | 1.4442 |
| 2024-25 | Windsor Spitfires | OHL | 63 | 12 | 16 | 28 | 0.444 | 0.2571 | 0.2417 | 1.1419 | 1.0737 |
| 2025-26 | Fargo Force | USHL | 62 | 20 | 30 | 50 | 0.806 | 0.4758 | 0.4248 | 2.4222 | 2.1628 |
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.