| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chippewa Steel | NAHL | 43 | 6 | 17 | 23 | 0.535 | 0.1965 | 0.2141 | 0.5646 | 0.6153 |
| 2022-23 | Madison Capitols | USHL | 19 | 1 | 6 | 7 | 0.368 | 0.2173 | 0.2166 | 1.1065 | 1.1032 |
| 2023-24 | Coquitlam Express | BCHL | 45 | 5 | 16 | 21 | 0.467 | 0.1798 | 0.1750 | 0.6792 | 0.6611 |
| 2024-25 | Coquitlam Express | BCHL | 52 | 9 | 25 | 34 | 0.654 | 0.2519 | 0.2325 | 0.9515 | 0.8783 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC | FR | 31 | 2 | 6 | 8 | 0.258 |
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.