| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota Wilderness | NA3HL | 43 | 0 | 4 | 4 | 0.093 | 0.0117 | 0.0127 | 0.0294 | 0.0320 |
| 2022-23 | Minnesota Wilderness | NA3HL | 47 | 5 | 13 | 18 | 0.383 | 0.0481 | 0.0501 | 0.1209 | 0.1260 |
| 2023-24 | Chicago Cougars | USPHL-Premier | 42 | 8 | 11 | 19 | 0.452 | 0.0592 | 0.0589 | 0.1535 | 0.1528 |
| 2024-25 | Toledo Cherokee | USPHL-Premier | 35 | 2 | 13 | 15 | 0.429 | 0.0561 | 0.0525 | 0.1455 | 0.1363 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
| 2024-25 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
| 2023-24 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
| 2022-23 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
| 2021-22 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
| 2020-21 | West Virginia University | ACHA_D1 | — | — | 31 | 6 | 13 | 19 | 0.613 |
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.