| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Humboldt Broncos | SJHL | 55 | 9 | 27 | 36 | 0.654 | 0.1994 | 0.2091 | 0.4850 | 0.5085 |
| 2022-23 | Humboldt Broncos | SJHL | 43 | 20 | 26 | 46 | 1.070 | 0.3259 | 0.3254 | 0.7928 | 0.7916 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | JR | 27 | 2 | 8 | 10 | 0.370 |
| 2024-25 | Lindenwood | D1 | CCHA | JR | 30 | 4 | 3 | 7 | 0.233 |
| 2023-24 | Lindenwood | D1 | CCHA | SO | 28 | 7 | 8 | 15 | 0.536 |
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.