| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Anchorage Wolverines | NAHL | 42 | 4 | 14 | 18 | 0.429 | 0.1698 | 0.1778 | 0.4500 | 0.4713 |
| 2024-25 | Anchorage Wolverines | NAHL | 54 | 12 | 55 | 67 | 1.241 | 0.4916 | 0.4891 | 1.3026 | 1.2959 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | — | 10 | 1 | 2 | 3 | 0.300 |
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.