| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Wilkes-Barre/Scranton Knights | NAHL | 49 | 2 | 8 | 10 | 0.204 | 0.0725 | 0.0788 | 0.2143 | 0.2328 |
| 2019-20 | — | NAHL | 45 | 3 | 6 | 9 | 0.200 | 0.0710 | 0.0710 | 0.2100 | 0.2100 |
| 2021-22 | Hawkesbury Hawks | CCHL | 47 | 2 | 6 | 8 | 0.170 | 0.0369 | 0.0338 | 0.1318 | 0.1206 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Potsdam | D3 | SUNYAC | SR | 21 | 4 | 0 | 4 | 0.191 |
| 2024-25 | SUNY Potsdam | D3 | SUNYAC | JR | 25 | 3 | 5 | 8 | 0.320 |
| 2023-24 | SUNY Potsdam | D3 | SUNYAC | SO | 21 | 2 | 3 | 5 | 0.238 |
| 2022-23 | SUNY Potsdam | D3 | SUNYAC | FR | 15 | 0 | 2 | 2 | 0.133 |
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.