| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Calgary Mustangs | AJHL | 47 | 2 | 10 | 12 | 0.255 | 0.0856 | 0.0917 | 0.2366 | 0.2534 |
| 2019-20 | — | AJHL | 50 | 6 | 16 | 22 | 0.440 | 0.1476 | 0.1476 | 0.4078 | 0.4078 |
| 2020-21 | Calgary Canucks | AJHL | 12 | 0 | 7 | 7 | 0.583 | 0.1956 | 0.1956 | 0.5406 | 0.5406 |
| 2021-22 | Okotoks Oilers | AJHL | 42 | 9 | 25 | 34 | 0.809 | 0.2715 | 0.2512 | 0.7502 | 0.6942 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota Duluth | D1 | NCHC | SR | 33 | 0 | 1 | 1 | 0.030 |
| 2024-25 | Minnesota Duluth | D1 | NCHC | — | 13 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Minnesota Duluth | D1 | NCHC | — | 30 | 2 | 2 | 4 | 0.133 |
| 2022-23 | Minnesota Duluth | D1 | NCHC | — | 19 | 0 | 0 | 0 | 0.000 |
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.