| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Corpus Christi IceRays | NAHL | 59 | 24 | 29 | 53 | 0.898 | 0.3300 | 0.3217 | 0.9482 | 0.9242 |
| 2023-24 | HIFK | Liiga | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | HIFK | Liiga | 54 | 4 | 5 | 9 | 0.167 | 0.4167 | 0.4319 | 1.4330 | 1.4853 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | American International | D1 | AHA | — | 6 | 0 | 3 | 3 | 0.500 |
| 2020-21 | Robert Morris | D1 | AHA | SO | 21 | 5 | 9 | 14 | 0.667 |
| 2019-20 | Robert Morris | D1 | AHA | FR | 34 | 5 | 5 | 10 | 0.294 |
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.