| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | USHL | 15 | 0 | 2 | 2 | 0.133 | 0.0819 | 0.0833 | 0.3927 | 0.3995 |
| 2018-19 | Austin Bruins | NAHL | 57 | 26 | 41 | 67 | 1.175 | 0.4657 | 0.4674 | 1.2341 | 1.2386 |
| 2019-20 | Austin Bruins | NAHL | 47 | 17 | 45 | 62 | 1.319 | 0.5226 | 0.5226 | 1.3849 | 1.3849 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Mercyhurst | D1 | AHA | SO | 33 | 8 | 19 | 27 | 0.818 |
| 2020-21 | Mercyhurst | D1 | AHA | FR | 19 | 5 | 10 | 15 | 0.789 |
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.