| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northern Cyclones | NCDC | 12 | 0 | 1 | 1 | 0.083 | 0.0193 | 0.0212 | 0.0674 | 0.0740 |
| 2022-23 | Northern Cyclones | NCDC | 44 | 2 | 7 | 9 | 0.204 | 0.0473 | 0.0500 | 0.1654 | 0.1748 |
| 2023-24 | Colorado Grit | NAHL | 51 | 8 | 8 | 16 | 0.314 | 0.1114 | 0.1120 | 0.3294 | 0.3311 |
| 2024-25 | Colorado Grit | NAHL | 56 | 11 | 14 | 25 | 0.446 | 0.1586 | 0.1511 | 0.4687 | 0.4465 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Utica | D3 | UCHC | — | 26 | 2 | 10 | 12 | 0.462 |
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.