| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Charlotte Rush | USPHL-Premier | 30 | 10 | 13 | 23 | 0.767 | 0.1032 | 0.1032 | 0.2610 | 0.2610 |
| 2021-22 | Charlotte Rush | USPHL-Premier | 44 | 20 | 24 | 44 | 1.000 | 0.1346 | 0.1253 | 0.3404 | 0.3168 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arcadia | D3 | MAC | SR | 15 | 3 | 4 | 7 | 0.467 |
| 2024-25 | Arcadia | D3 | MAC | JR | 15 | 6 | 4 | 10 | 0.667 |
| 2023-24 | Arcadia | D3 | MAC | SO | 23 | 3 | 7 | 10 | 0.435 |
| 2022-23 | Arcadia | D3 | MAC | FR | 25 | 6 | 17 | 23 | 0.920 |
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.