| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | WHL | 61 | 20 | 35 | 55 | 0.902 | 0.4384 | 0.4868 | 2.2006 | 2.4434 |
| 2023-24 | — | WHL | 47 | 19 | 25 | 44 | 0.936 | 0.4552 | 0.4830 | 2.2851 | 2.4246 |
| 2024-25 | — | WHL | 53 | 29 | 32 | 61 | 1.151 | 0.5596 | 0.5639 | 2.8091 | 2.8306 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | D1 | HockeyEast | — | 36 | 7 | 10 | 17 | 0.472 |
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.