| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Philadelphia Hockey Club | EHL | 40 | 2 | 10 | 12 | 0.300 | 0.0693 | 0.0710 | 0.1468 | 0.1504 |
| 2023-24 | Philadelphia Hockey Club | EHL | 45 | 7 | 14 | 21 | 0.467 | 0.1078 | 0.1050 | 0.2284 | 0.2225 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arcadia | D3 | MAC | SO | 3 | 1 | 0 | 1 | 0.333 |
| 2024-25 | Arcadia | D3 | MAC | — | 17 | 0 | 0 | 0 | 0.000 |
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.