| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bozeman Ice Dogs | NA3HL | 16 | 0 | 11 | 11 | 0.688 | 0.1581 | 0.1702 | 0.2178 | 0.2345 |
| 2023-24 | Bozeman Ice Dogs | NA3HL | 41 | 8 | 14 | 22 | 0.537 | 0.1234 | 0.1269 | 0.1700 | 0.1748 |
| 2024-25 | New Jersey Bears | EHL | 44 | 4 | 14 | 18 | 0.409 | 0.1440 | 0.1448 | 0.2006 | 0.2017 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New England College | D3 | LittleEast | FR | 10 | 2 | 2 | 4 | 0.400 |
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.