| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Renfrew Wolves | CCHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Nanaimo Clippers | BCHL | 52 | 5 | 8 | 13 | 0.250 | 0.0963 | 0.1084 | 0.3638 | 0.4096 |
| 2024-25 | Nanaimo Clippers | BCHL | 53 | 13 | 13 | 26 | 0.491 | 0.1890 | 0.2033 | 0.7140 | 0.7681 |
| 2025-26 | Flint Firebirds | OHL | 59 | 11 | 9 | 20 | 0.339 | 0.1961 | 0.1957 | 0.8711 | 0.8691 |
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.