| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Johnstown Tomahawks | NAHL | 52 | 31 | 31 | 62 | 1.192 | 0.4724 | 0.4724 | 1.2518 | 1.2518 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Niagara | D1 | AHA | GR | 36 | 19 | 20 | 39 | 1.083 |
| 2023-24 | Niagara | D1 | AHA | SR | 34 | 10 | 16 | 26 | 0.765 |
| 2022-23 | Niagara | D1 | AHA | JR | 17 | 7 | 10 | 17 | 1.000 |
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.