| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Buffalo Jr. Sabres | OJHL | 51 | 16 | 24 | 40 | 0.784 | 0.2191 | 0.2099 | 0.5412 | 0.5185 |
| 2024-25 | Buffalo Jr. Sabres | OJHL | 41 | 15 | 32 | 47 | 1.146 | 0.3203 | 0.2904 | 0.7911 | 0.7172 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Brockport | D3 | — | FR | 24 | 1 | 6 | 7 | 0.292 |
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.