| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Calgary Mustangs | AJHL | 55 | 1 | 5 | 6 | 0.109 | 0.0366 | 0.0374 | 0.1011 | 0.1034 |
| 2017-18 | Winkler Flyers | MJHL | 38 | 6 | 12 | 18 | 0.474 | 0.0912 | 0.0895 | 0.2985 | 0.2929 |
| 2018-19 | — | MJHL | 55 | 5 | 17 | 22 | 0.400 | 0.0770 | 0.0713 | 0.2521 | 0.2335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Marian | D3 | NCHA | SR | 27 | 2 | 2 | 4 | 0.148 |
| 2021-22 | Marian | D3 | NCHA | JR | 14 | 1 | 4 | 5 | 0.357 |
| 2020-21 | Marian | D1 | — | SO | 15 | 2 | 5 | 7 | 0.467 |
| 2020-21 | Marian | D3 | NCHA | SO | 15 | 2 | 5 | 7 | 0.467 |
| 2019-20 | Marian | D1 | — | FR | 13 | 0 | 4 | 4 | 0.308 |
| 2019-20 | Marian | D3 | NCHA | FR | 13 | 0 | 4 | 4 | 0.308 |
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.