| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Loomis Chaffee | NE-Prep | 25 | 1 | 0 | 1 | 0.040 | 0.0079 | 0.0079 | 0.0182 | 0.0182 |
| 2022-23 | Cretin-Derham Hall | USHS-MN | 30 | 4 | 4 | 8 | 0.267 | 0.0338 | 0.0338 | 0.0648 | 0.0648 |
| 2023-24 | Cretin-Derham Hall | USHS-MN | 31 | 11 | 17 | 28 | 0.903 | 0.1143 | 0.1143 | 0.2194 | 0.2194 |
| 2024-25 | Mercer Chiefs | NCDC | 36 | 12 | 11 | 23 | 0.639 | 0.2605 | 0.2674 | — | — |
| 2025-26 | Corpus Christi IceRays | NAHL | 57 | 15 | 24 | 39 | 0.684 | 0.2514 | 0.2449 | 0.7222 | 0.7037 |
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.