| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Johnstown Tomahawks | NAHL | 6 | 1 | 0 | 1 | 0.167 | 0.0592 | 0.0625 | 0.1750 | 0.1848 |
| 2022-23 | Portage Terriers | MJHL | 29 | 6 | 7 | 13 | 0.448 | 0.0863 | 0.0857 | 0.2825 | 0.2805 |
| 2023-24 | Buffalo Jr. Sabres | OJHL | 52 | 9 | 16 | 25 | 0.481 | 0.1178 | 0.1092 | 0.3291 | 0.3052 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wentworth | D3 | CNE | — | 8 | 1 | 0 | 1 | 0.125 |
| 2024-25 | Wentworth | D3 | CNE | — | 18 | 0 | 1 | 1 | 0.056 |
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.