| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Steele County Blades | USPHL-Premier | 16 | 7 | 11 | 18 | 1.125 | 0.1269 | 0.1269 | 0.3827 | 0.3827 |
| 2021-22 | Battlefords North Stars | SJHL | 41 | 8 | 17 | 25 | 0.610 | 0.1562 | 0.1533 | 0.4519 | 0.4434 |
| 2022-23 | Battlefords North Stars | SJHL | 52 | 17 | 20 | 37 | 0.712 | 0.1823 | 0.1698 | 0.5273 | 0.4910 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Trine | D3 | NCHA | GR | 11 | 4 | 1 | 5 | 0.455 |
| 2024-25 | Trine | D3 | NCHA | SR | 7 | 2 | 0 | 2 | 0.286 |
| 2023-24 | Trine | D3 | NCHA | JR | 12 | 2 | 3 | 5 | 0.417 |
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.