| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Mercer Chiefs | NCDC | 18 | 1 | 1 | 2 | 0.111 | 0.0313 | 0.0334 | 0.1882 | 0.1985 |
| 2023-24 | Mercer Chiefs | NCDC | 43 | 11 | 15 | 26 | 0.605 | 0.1704 | 0.1720 | 0.4896 | 0.4942 |
| 2024-25 | Mercer Chiefs | NCDC | 51 | 22 | 27 | 49 | 0.961 | 0.2708 | 0.2613 | 0.7779 | 0.7507 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Geneseo | D3 | — | FR | 27 | 4 | 10 | 14 | 0.518 |
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.