| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Pembroke Lumber Kings | CCHL | 27 | 1 | 4 | 5 | 0.185 | 0.0591 | 0.0627 | 0.1434 | 0.1522 |
| 2022-23 | Renfrew Wolves | CCHL | 44 | 8 | 16 | 24 | 0.545 | 0.1742 | 0.1771 | 0.4223 | 0.4294 |
| 2023-24 | Renfrew Wolves | CCHL | 55 | 40 | 45 | 85 | 1.546 | 0.4935 | 0.4755 | 1.1964 | 1.1527 |
| 2024-25 | Brooks Bandits | BCHL | 41 | 11 | 23 | 34 | 0.829 | 0.3089 | 0.2837 | 1.2084 | 1.1096 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC | FR | 26 | 7 | 6 | 13 | 0.500 |
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.