| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Cape Breton Eagles | QMJHL | 68 | 18 | 26 | 44 | 0.647 | 0.3217 | 0.3172 | 1.7258 | 1.7015 |
| 2023-24 | Cape Breton Eagles | QMJHL | 68 | 31 | 30 | 61 | 0.897 | 0.4460 | 0.4177 | 2.3926 | 2.2409 |
| 2024-25 | Cape Breton Eagles | QMJHL | 64 | 28 | 29 | 57 | 0.891 | 0.4428 | 0.3930 | 2.3752 | 2.1078 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | — | 30 | 13 | 15 | 28 | 0.933 |
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.