| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Sherwood Park Crusaders | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Salmon Arm Silverbacks | BCHL | 48 | 4 | 9 | 13 | 0.271 | 0.1043 | 0.1155 | 0.3941 | 0.4366 |
| 2023-24 | Salmon Arm Silverbacks | BCHL | 54 | 10 | 18 | 28 | 0.518 | 0.1998 | 0.2122 | 0.7546 | 0.8013 |
| 2024-25 | Sioux Falls Stampede | USHL | 59 | 20 | 32 | 52 | 0.881 | 0.5199 | 0.5120 | 2.6472 | 2.6072 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Denver | D1 | NCHC | FR | 43 | 2 | 8 | 10 | 0.233 |
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.