| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Connecticut Jr. Rangers | USPHL-Premier | 39 | 11 | 14 | 25 | 0.641 | 0.0838 | 0.0838 | 0.2176 | 0.2176 |
| 2020-21 | Swan Valley Stampeders | MJHL | 4 | 0 | 2 | 2 | 0.500 | 0.0963 | 0.0963 | 0.3153 | 0.3153 |
| 2021-22 | Hearst Lumberjacks | NOJHL | 32 | 5 | 6 | 11 | 0.344 | 0.0574 | 0.0528 | 0.1431 | 0.1316 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Anna Maria | D3 | MASCAC | SR | 14 | 3 | 1 | 4 | 0.286 |
| 2025-26 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
| 2024-25 | Anna Maria | D3 | MASCAC | JR | 8 | 1 | 0 | 1 | 0.125 |
| 2024-25 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
| 2023-24 | Anna Maria | D3 | MASCAC | SO | 10 | 0 | 1 | 1 | 0.100 |
| 2023-24 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
| 2022-23 | Anna Maria | D3 | MASCAC | FR | 13 | 0 | 2 | 2 | 0.154 |
| 2022-23 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
| 2021-22 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
| 2020-21 | Saginaw Valley State University | ACHA_D1 | — | — | 24 | 4 | 4 | 8 | 0.333 |
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.