| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota Moose | NA3HL | 20 | 3 | 3 | 6 | 0.300 | 0.0332 | 0.0332 | 0.0950 | 0.0950 |
| 2021-22 | Minnesota Moose | NA3HL | 12 | 2 | 4 | 6 | 0.500 | 0.0553 | 0.0574 | 0.1584 | 0.1644 |
| 2022-23 | Northeast Generals | NA3HL | 46 | 11 | 38 | 49 | 1.065 | 0.1178 | 0.1169 | 0.3375 | 0.3349 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Beloit | D3 | WIAC | SO | 24 | 1 | 7 | 8 | 0.333 |
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.