| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Coquitlam Express | BCHL | 46 | 3 | 8 | 11 | 0.239 | 0.0931 | 0.0958 | 0.3487 | 0.3587 |
| 2023-24 | — | AJHL | 25 | 4 | 3 | 7 | 0.280 | 0.0935 | 0.0917 | 0.2599 | 0.2549 |
| 2024-25 | Neepawa Titans | MJHL | 32 | 11 | 20 | 31 | 0.969 | 0.2741 | 0.2546 | 0.6104 | 0.5669 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | FR | 25 | 8 | 10 | 18 | 0.720 |
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.