| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Salmon Arm Silverbacks | BCHL | 40 | 14 | 21 | 35 | 0.875 | 0.3371 | 0.3478 | 1.2734 | 1.3139 |
| 2023-24 | Alberni Valley Bulldogs | BCHL | 46 | 35 | 20 | 55 | 1.196 | 0.4607 | 0.4542 | 1.7401 | 1.7156 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | SO | 35 | 29 | 19 | 48 | 1.371 |
| 2024-25 | Dartmouth | D1 | ECAC | — | 31 | 10 | 12 | 22 | 0.710 |
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.