| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Soo Eagles | NOJHL | 51 | 1 | 10 | 11 | 0.216 | 0.0307 | 0.0331 | 0.0895 | 0.0964 |
| 2019-20 | Soo Eagles | NOJHL | 52 | 0 | 7 | 7 | 0.135 | 0.0192 | 0.0192 | 0.0558 | 0.0558 |
| 2020-21 | Charlotte Rush | USPHL-Premier | 42 | 2 | 11 | 13 | 0.309 | 0.0349 | 0.0349 | 0.1053 | 0.1053 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Arcadia | D3 | MAC | SR | 24 | 0 | 1 | 1 | 0.042 |
| 2022-23 | Arcadia | D3 | MAC | JR | 17 | 1 | 3 | 4 | 0.235 |
| 2021-22 | Arcadia | D3 | MAC | SO | 25 | 3 | 4 | 7 | 0.280 |
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.