| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minot Minotauros | NAHL | 44 | 5 | 5 | 10 | 0.227 | 0.0835 | 0.0883 | 0.2399 | 0.2536 |
| 2023-24 | Minot Minotauros | NAHL | 59 | 29 | 32 | 61 | 1.034 | 0.3799 | 0.3834 | 1.0913 | 1.1014 |
| 2024-25 | Minot Minotauros | NAHL | 57 | 24 | 41 | 65 | 1.140 | 0.4190 | 0.4009 | 1.2037 | 1.1517 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Adrian | D3 | NCHA | FR | 27 | 6 | 12 | 18 | 0.667 |
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.