| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Houston Bulls | NAHL | 46 | 1 | 8 | 9 | 0.196 | 0.0719 | 0.0752 | 0.2066 | 0.2162 |
| 2019-20 | Houston Bulls | NAHL | 50 | 12 | 18 | 30 | 0.600 | 0.2204 | 0.2204 | 0.6333 | 0.6333 |
| 2020-21 | Omaha Lancers | USHL | 45 | 2 | 9 | 11 | 0.244 | 0.1442 | 0.1442 | 0.7340 | 0.7340 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Niagara | D1 | AHA | SR | 37 | 4 | 3 | 7 | 0.189 |
| 2023-24 | Niagara | D1 | AHA | JR | 27 | 3 | 9 | 12 | 0.444 |
| 2022-23 | Niagara | D1 | AHA | SO | 33 | 1 | 11 | 12 | 0.364 |
| 2021-22 | Niagara | D1 | AHA | FR | 22 | 0 | 0 | 0 | 0.000 |
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.