| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Smiths Falls Bears | CCHL | 5 | 0 | 1 | 1 | 0.200 | 0.0571 | 0.0571 | 0.1548 | 0.1548 |
| 2020-21 | Hearst Lumberjacks | NOJHL | 12 | 4 | 2 | 6 | 0.500 | 0.0843 | 0.0843 | 0.2077 | 0.2077 |
| 2021-22 | Hearst Lumberjacks | NOJHL | 45 | 22 | 37 | 59 | 1.311 | 0.2211 | 0.2047 | 0.5448 | 0.5044 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Southern Maine | D3 | NEHC | FR | 17 | 2 | 3 | 5 | 0.294 |
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.