| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | BCHL | 17 | 4 | 2 | 6 | 0.353 | 0.1315 | 0.1440 | 0.5142 | 0.5629 |
| 2019-20 | Alberni Valley Bulldogs | BCHL | 50 | 10 | 10 | 20 | 0.400 | 0.1490 | 0.1490 | 0.5828 | 0.5828 |
| 2021-22 | Alberni Valley Bulldogs | BCHL | 51 | 26 | 29 | 55 | 1.078 | 0.4017 | 0.3793 | 1.5713 | 1.4836 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ferris State | D1 | CCHA | SR | 36 | 13 | 7 | 20 | 0.556 |
| 2024-25 | Long Island Univ. | D1 | AHA | GR | 29 | 12 | 7 | 19 | 0.655 |
| 2023-24 | Long Island Univ. | D1 | AHA | SR | 35 | 20 | 14 | 34 | 0.971 |
| 2022-23 | Long Island Univ. | D1 | AHA | JR | 28 | 12 | 5 | 17 | 0.607 |
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.