| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Timmins Rock | NOJHL | 46 | 13 | 10 | 23 | 0.500 | 0.0835 | 0.0850 | 0.2082 | 0.2120 |
| 2022-23 | Timmins Rock | NOJHL | 42 | 16 | 13 | 29 | 0.691 | 0.1153 | 0.1125 | 0.2875 | 0.2805 |
| 2023-24 | Timmins Rock | NOJHL | 48 | 30 | 18 | 48 | 1.000 | 0.1670 | 0.1542 | 0.4163 | 0.3843 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Anna Maria | D3 | MASCAC | SO | 27 | 7 | 10 | 17 | 0.630 |
| 2024-25 | Anna Maria | D3 | MASCAC | — | 27 | 7 | 7 | 14 | 0.518 |
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.