| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Janesville Jets | NAHL | 32 | 0 | 6 | 6 | 0.188 | 0.0743 | 0.0807 | 0.1969 | 0.2139 |
| 2022-23 | Janesville Jets | NAHL | 13 | 0 | 1 | 1 | 0.077 | 0.0305 | 0.0316 | 0.0807 | 0.0837 |
| 2023-24 | New Jersey Jr. Titans | NAHL | 5 | 0 | 1 | 1 | 0.200 | 0.0792 | 0.0784 | 0.2100 | 0.2078 |
| 2024-25 | Casper Warbirds | NCDC | 31 | 4 | 7 | 11 | 0.355 | 0.1978 | 0.1859 | 0.2869 | 0.2697 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. John Fisher | D3 | UCHC | FR | 15 | 1 | 4 | 5 | 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.