| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Loomis Chaffee | NE-Prep | 25 | 2 | 2 | 4 | 0.160 | 0.0322 | 0.0322 | 0.0732 | 0.0732 |
| 2023-24 | Loomis Chaffee | NE-Prep | 20 | 14 | 18 | 32 | 1.600 | 0.3218 | 0.3218 | 0.7317 | 0.7317 |
| 2024-25 | Avon Old Farms | NE-Prep | 26 | 26 | 16 | 42 | 1.615 | 0.3249 | 0.3249 | 0.7387 | 0.7387 |
| 2025-26 | Nanaimo Clippers | BCHL | 54 | 12 | 14 | 26 | 0.481 | 0.1855 | 0.1987 | 0.7003 | 0.7503 |
| 2026-27 | Nanaimo Clippers | BCHL | 7 | 1 | 2 | 3 | 0.429 | 0.1651 | 0.1651 | 0.6234 | 0.6234 |
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.