| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Smiths Falls Bears | CCHL | 47 | 3 | 2 | 5 | 0.106 | 0.0304 | 0.0310 | 0.0824 | 0.0840 |
| 2022-23 | Smiths Falls Bears | CCHL | 41 | 8 | 15 | 23 | 0.561 | 0.1601 | 0.1561 | 0.4343 | 0.4234 |
| 2023-24 | Smiths Falls Bears | CCHL | 54 | 29 | 28 | 57 | 1.056 | 0.3013 | 0.2777 | 0.8171 | 0.7530 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Oswego | D3 | SUNYAC | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2024-25 | SUNY Oswego | D3 | SUNYAC | FR | 6 | 0 | 0 | 0 | 0.000 |
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.