| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Moorhead | USHS-MN | 22 | 7 | 8 | 15 | 0.682 | 0.0840 | 0.0840 | 0.1656 | 0.1656 |
| 2022-23 | Moorhead | USHS-MN | 30 | 35 | 16 | 51 | 1.700 | 0.2094 | 0.2094 | 0.4129 | 0.4129 |
| 2023-24 | Langley Rivermen | BCHL | 52 | 11 | 12 | 23 | 0.442 | 0.1704 | 0.1734 | 0.6445 | 0.6560 |
| 2024-25 | Fargo Force | USHL | 34 | 3 | 4 | 7 | 0.206 | 0.1215 | 0.1143 | 0.6066 | 0.5707 |
| 2025-26 | Langley Rivermen | BCHL | 25 | 23 | 12 | 35 | 1.400 | 0.5394 | 0.5021 | 2.0399 | 1.8988 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Anchorage | D1 | WCHA | FR | 18 | 1 | 4 | 5 | 0.278 |
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.