| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Utica Jr. Comets | NCDC | 22 | 2 | 2 | 4 | 0.182 | 0.1014 | 0.1014 | 0.1470 | 0.1470 |
| 2021-22 | Georgetown Raiders | OJHL | 28 | 3 | 9 | 12 | 0.429 | 0.1288 | 0.1316 | 0.2934 | 0.2997 |
| 2022-23 | Shreveport Mudbugs | NAHL | 55 | 10 | 30 | 40 | 0.727 | 0.2882 | 0.2875 | 0.7636 | 0.7618 |
| 2023-24 | Shreveport Mudbugs | NAHL | 59 | 10 | 26 | 36 | 0.610 | 0.2418 | 0.2297 | 0.6406 | 0.6085 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ferris State | D1 | CCHA | — | 32 | 0 | 4 | 4 | 0.125 |
| 2024-25 | Ferris State | D1 | CCHA | — | 32 | 3 | 9 | 12 | 0.375 |
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.