| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Calgary Canucks | AJHL | 4 | 1 | 0 | 1 | 0.250 | 0.0838 | 0.0838 | 0.2314 | 0.2314 |
| 2020-21 | Calgary Canucks | AJHL | 12 | 1 | 1 | 2 | 0.167 | 0.0559 | 0.0559 | 0.1543 | 0.1543 |
| 2021-22 | Calgary Canucks | AJHL | 59 | 11 | 6 | 17 | 0.288 | 0.0966 | 0.1018 | 0.2666 | 0.2808 |
| 2022-23 | Calgary Canucks | AJHL | 54 | 20 | 12 | 32 | 0.593 | 0.1988 | 0.1996 | 0.5484 | 0.5505 |
| 2023-24 | Grande Prairie Storm | AJHL | 54 | 19 | 13 | 32 | 0.593 | 0.1988 | 0.1902 | 0.5484 | 0.5246 |
| 2025-26 | Univ. of Calgary | USports-M | 25 | 1 | 6 | 7 | 0.280 | 0.1477 | 0.1557 | 0.8207 | 0.8650 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Ferris State | D1 | CCHA | — | 20 | 2 | 3 | 5 | 0.250 |
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.