| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Albany Academy | NE-Prep | 22 | 10 | 8 | 18 | 0.818 | 0.1578 | 0.1578 | 0.3744 | 0.3744 |
| 2022-23 | Protec Jr. Ducks | EHL | 32 | 7 | 10 | 17 | 0.531 | 0.0777 | 0.0843 | 0.2604 | 0.2827 |
| 2023-24 | Pennsylvania Huntsmen | EHL | 42 | 8 | 11 | 19 | 0.452 | 0.0662 | 0.0685 | 0.2218 | 0.2296 |
| 2024-25 | Pennsylvania Huntsmen | EHL | 41 | 12 | 22 | 34 | 0.829 | 0.1213 | 0.1193 | 0.4066 | 0.3999 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
| 2024-25 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
| 2023-24 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
| 2022-23 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
| 2021-22 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
| 2020-21 | SUNY Oswego | ACHA_D1 | — | — | 29 | 5 | 12 | 17 | 0.586 |
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.