| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Olds Grizzlys | AJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0668 | 0.0668 | 0.1857 | 0.1857 |
| 2020-21 | Olds Grizzlys | AJHL | 12 | 0 | 2 | 2 | 0.167 | 0.0557 | 0.0557 | 0.1547 | 0.1547 |
| 2021-22 | Whitecourt Wolverines | AJHL | 52 | 2 | 4 | 6 | 0.115 | 0.0385 | 0.0403 | 0.1071 | 0.1121 |
| 2022-23 | Weyburn Red Wings | SJHL | 23 | 4 | 4 | 8 | 0.348 | 0.1005 | 0.1017 | 0.2618 | 0.2648 |
| 2023-24 | Northern Manitoba Blizzard | MJHL | 57 | 23 | 21 | 44 | 0.772 | 0.2184 | 0.2082 | 0.4864 | 0.4637 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Fredonia | D3 | SUNYAC | FR | 16 | 0 | 5 | 5 | 0.312 |
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.