| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Charleston Colonials | USPHL-Premier | 31 | 11 | 19 | 30 | 0.968 | 0.1092 | 0.1092 | 0.3292 | 0.3292 |
| 2021-22 | — | NAHL | 40 | 2 | 6 | 8 | 0.200 | 0.0710 | 0.0693 | 0.2100 | 0.2051 |
| 2022-23 | Charlotte Rush | USPHL-Premier | 25 | 16 | 16 | 32 | 1.280 | 0.1444 | 0.1323 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arcadia | D3 | MAC | GR | 25 | 9 | 6 | 15 | 0.600 |
| 2024-25 | Arcadia | D3 | MAC | SR | 23 | 4 | 6 | 10 | 0.435 |
| 2023-24 | Arcadia | D3 | MAC | JR | 24 | 6 | 9 | 15 | 0.625 |
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.