| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Buffalo | USHS-MN | 19 | 6 | 8 | 14 | 0.737 | 0.0908 | 0.0908 | 0.1790 | 0.1790 |
| 2021-22 | Buffalo | USHS-MN | 26 | 6 | 12 | 18 | 0.692 | 0.0853 | 0.0853 | 0.1682 | 0.1682 |
| 2022-23 | Janesville Jets | NAHL | 10 | 1 | 0 | 1 | 0.100 | 0.0355 | 0.0374 | 0.1050 | 0.1105 |
| 2023-24 | Provo Predators | NCDC | 42 | 19 | 17 | 36 | 0.857 | 0.1981 | 0.1979 | 0.2625 | 0.2637 |
| 2024-25 | Melville Millionaires | SJHL | 28 | 15 | 9 | 24 | 0.857 | 0.2196 | 0.2071 | 0.6352 | 0.5990 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia | D3 | MIAC | — | 21 | 4 | 5 | 9 | 0.429 |
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.