| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Frederick Gunn | NE-Prep | 34 | 2 | 0 | 2 | 0.059 | 0.0119 | 0.0119 | 0.0269 | 0.0269 |
| 2022-23 | — | NCDC | 40 | 12 | 6 | 18 | 0.450 | 0.1268 | 0.1253 | 0.3643 | 0.3599 |
| 2023-24 | Mercer Chiefs | NCDC | 24 | 10 | 4 | 14 | 0.583 | 0.1644 | 0.1531 | 0.4722 | 0.4398 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Fredonia | D3 | SUNYAC | SO | 24 | 2 | 3 | 5 | 0.208 |
| 2024-25 | Fredonia | D3 | SUNYAC | FR | 16 | 8 | 4 | 12 | 0.750 |
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.