| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Dexter | NE-Prep | 25 | 2 | 2 | 4 | 0.160 | 0.0322 | 0.0322 | 0.0732 | 0.0732 |
| 2022-23 | Dexter | NE-Prep | 31 | 4 | 5 | 9 | 0.290 | 0.0584 | 0.0584 | — | — |
| 2023-24 | Madison Capitols | USHL | 7 | 0 | 1 | 1 | 0.143 | 0.0843 | 0.0879 | 0.4288 | 0.4473 |
| 2025-26 | Okotoks Oilers | BCHL | 48 | 5 | 9 | 14 | 0.292 | 0.1124 | 0.1104 | 0.4242 | 0.4167 |
| 2026-27 | Northeast Generals | NAHL | 7 | 2 | 3 | 5 | 0.714 | 0.2624 | 0.2504 | 0.7549 | 0.7205 |
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.