| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Worcester Jr. Railers | EHL | 46 | 24 | 30 | 54 | 1.174 | 0.1717 | 0.1716 | 0.5756 | 0.5751 |
| 2023-24 | Worcester Jr. Railers | EHL | 44 | 29 | 29 | 58 | 1.318 | 0.1929 | 0.1830 | 0.6463 | 0.6132 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | D3 | MIAC | SO | 24 | 4 | 4 | 8 | 0.333 |
| 2024-25 | Gustavus Adolphus | D3 | MIAC | — | 28 | 8 | 14 | 22 | 0.786 |
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.