| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Moose Jaw Warriors | WHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Moose Jaw Warriors | WHL | 63 | 8 | 10 | 18 | 0.286 | 0.1390 | 0.1447 | 0.7001 | 0.7289 |
| 2023-24 | Moose Jaw Warriors | WHL | 67 | 15 | 20 | 35 | 0.522 | 0.2541 | 0.2520 | 1.2800 | 1.2695 |
| 2024-25 | Prince George Cougars | WHL | 64 | 33 | 41 | 74 | 1.156 | 0.5625 | 0.5278 | 2.8330 | 2.6585 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Quinnipiac | D1 | ECAC | FR | 14 | 1 | 3 | 4 | 0.286 |
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.