| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Sherwood Park Crusaders | AJHL | 2 | 0 | 1 | 1 | 0.500 | 0.1677 | 0.1856 | 0.4627 | 0.5122 |
| 2017-18 | Sherwood Park Crusaders | AJHL | 59 | 19 | 13 | 32 | 0.542 | 0.1819 | 0.1911 | 0.5019 | 0.5273 |
| 2018-19 | Sherwood Park Crusaders | AJHL | 54 | 32 | 38 | 70 | 1.296 | 0.4348 | 0.4357 | 1.1996 | 1.2020 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Oswego | D3 | SUNYAC | SR | 11 | 1 | 3 | 4 | 0.364 |
| 2021-22 | SUNY Oswego | D3 | SUNYAC | JR | 17 | 6 | 3 | 9 | 0.529 |
| 2020-21 | Robert Morris | D1 | AHA | SO | 10 | 0 | 2 | 2 | 0.200 |
| 2019-20 | Robert Morris | D1 | AHA | FR | 27 | 2 | 3 | 5 | 0.185 |
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.