| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Drumheller Dragons | AJHL | 54 | 20 | 20 | 40 | 0.741 | 0.2458 | 0.2711 | 0.6865 | 0.7572 |
| 2022-23 | Drumheller Dragons | AJHL | 53 | 37 | 28 | 65 | 1.226 | 0.4069 | 0.4287 | 1.1366 | 1.1974 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | D1 | HockeyEast | JR | 21 | 3 | 5 | 8 | 0.381 |
| 2024-25 | Merrimack | D1 | HockeyEast | SO | 35 | 6 | 9 | 15 | 0.429 |
| 2023-24 | Merrimack | D1 | HockeyEast | FR | 34 | 13 | 8 | 21 | 0.618 |
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.