| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Cornwall Colts | CCHL | 47 | 1 | 11 | 12 | 0.255 | 0.0815 | 0.0831 | 0.1976 | 0.2014 |
| 2023-24 | Vernon Vipers | BCHL | 25 | 3 | 12 | 15 | 0.600 | 0.2235 | 0.2170 | 0.8743 | 0.8490 |
| 2024-25 | Lincoln Stars | USHL | 61 | 7 | 36 | 43 | 0.705 | 0.4333 | 0.3874 | 2.0768 | 1.8566 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Union | D1 | ECAC | — | 37 | 5 | 19 | 24 | 0.649 |
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.