| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Mercer Chiefs | NCDC | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Mercer Chiefs | NCDC | 47 | 7 | 19 | 26 | 0.553 | 0.3085 | 0.3103 | 0.4473 | 0.4500 |
| 2024-25 | P.A.L. Junior Islanders | NCDC | 46 | 14 | 30 | 44 | 0.957 | 0.5333 | 0.5128 | 0.7734 | 0.7436 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Connecticut College | D3 | NESCAC | FR | 24 | 6 | 13 | 19 | 0.792 |
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.