| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Austin Bruins | NAHL | 39 | 12 | 4 | 16 | 0.410 | 0.1626 | 0.1626 | 0.4308 | 0.4308 |
| 2021-22 | Austin Bruins | NAHL | 31 | 13 | 12 | 25 | 0.806 | 0.3195 | 0.3159 | 0.8467 | 0.8372 |
| 2022-23 | Austin Bruins | NAHL | 58 | 32 | 23 | 55 | 0.948 | 0.3757 | 0.3531 | 0.9956 | 0.9356 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canisius | D1 | AHA | JR | 32 | 19 | 12 | 31 | 0.969 |
| 2024-25 | Robert Morris | D1 | AHA | — | 35 | 15 | 9 | 24 | 0.686 |
| 2023-24 | Robert Morris | D1 | AHA | — | 33 | 5 | 17 | 22 | 0.667 |
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.