| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Thunder Hockey Club | NCDC | 30 | 4 | 6 | 10 | 0.333 | 0.1858 | 0.1858 | 0.2695 | 0.2695 |
| 2021-22 | Houston Bulls | NAHL | 58 | 3 | 23 | 26 | 0.448 | 0.1776 | 0.1854 | 0.4707 | 0.4914 |
| 2022-23 | — | NAHL | 50 | 8 | 36 | 44 | 0.880 | 0.3487 | 0.3469 | 0.9239 | 0.9190 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Anchorage | D1 | WCHA | JR | 32 | 4 | 6 | 10 | 0.312 |
| 2024-25 | Alaska Anchorage | D1 | — | — | 18 | 2 | 3 | 5 | 0.278 |
| 2023-24 | Union | D1 | ECAC | — | 21 | 0 | 3 | 3 | 0.143 |
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.