| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lindsay Muskies | OJHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Lindsay Muskies | OJHL | 50 | 2 | 10 | 12 | 0.240 | 0.0721 | 0.0741 | 0.1643 | 0.1688 |
| 2023-24 | Lloydminster Bobcats | AJHL | 47 | 3 | 8 | 11 | 0.234 | 0.0776 | 0.0765 | 0.2169 | 0.2138 |
| 2024-25 | — | SJHL | 41 | 3 | 9 | 12 | 0.293 | 0.0892 | 0.0844 | 0.2169 | 0.2051 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | Mercyhurst | D1 | AHA | SR | 36 | 11 | 26 | 37 | 1.028 |
| 2002-03 | Mercyhurst | D1 | — | JR | 37 | 10 | 11 | 21 | 0.568 |
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.