| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Sherwood Park Crusaders | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Okotoks Oilers | AJHL | 7 | 3 | 3 | 6 | 0.857 | 0.2875 | 0.2875 | 0.7932 | 0.7932 |
| 2021-22 | Okotoks Oilers | AJHL | 60 | 20 | 39 | 59 | 0.983 | 0.3298 | 0.3539 | 0.9099 | 0.9764 |
| 2022-23 | Calgary Canucks | AJHL | 22 | 9 | 17 | 26 | 1.182 | 0.3964 | 0.4057 | 1.0936 | 1.1193 |
| 2023-24 | Calgary Canucks | AJHL | 56 | 21 | 46 | 67 | 1.196 | 0.4013 | 0.3918 | 1.1071 | 1.0809 |
| 2024-25 | Calgary Canucks | AJHL | 38 | 24 | 37 | 61 | 1.605 | 0.5384 | 0.4971 | 1.4855 | 1.3715 |
| 2025-26 | Mount Royal Univ. | USports-M | 21 | 5 | 4 | 9 | 0.429 | 0.2261 | 0.2428 | 1.2562 | 1.3488 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Indiana University of Pennsylvania | ACHA_D1 | — | — | 7 | 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.