| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Bonnyville Pontiacs | AJHL | 55 | 16 | 20 | 36 | 0.654 | 0.2172 | 0.2251 | 0.6066 | 0.6286 |
| 2022-23 | Fargo Force | USHL | 60 | 14 | 20 | 34 | 0.567 | 0.3484 | 0.3363 | 1.6696 | 1.6117 |
| 2023-24 | Green Bay Gamblers | USHL | 37 | 12 | 10 | 22 | 0.595 | 0.3655 | 0.3347 | 1.7518 | 1.6041 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Maine | D1 | HockeyEast | JR | 35 | 6 | 9 | 15 | 0.429 |
| 2024-25 | Maine | D1 | HockeyEast | — | 35 | 7 | 19 | 26 | 0.743 |
| 2023-24 | Clarkson | D1 | ECAC | — | 7 | 0 | 0 | 0 | 0.000 |
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.