| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Islanders Hockey Club | NCDC | 39 | 9 | 15 | 24 | 0.615 | 0.2509 | 0.2448 | 0.4947 | 0.4827 |
| 2018-19 | Islanders Hockey Club | NCDC | 41 | 3 | 9 | 12 | 0.293 | 0.1193 | 0.1096 | 0.2353 | 0.2162 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Elmira | D3 | UCHC | — | 25 | 2 | 4 | 6 | 0.240 |
| 2021-22 | Canisius | D1 | AHA | JR | 4 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Canisius | D1 | AHA | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Canisius | D1 | AHA | FR | 17 | 0 | 1 | 1 | 0.059 |
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.