| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Drayton Valley Thunder | AJHL | 13 | 0 | 2 | 2 | 0.154 | 0.0516 | 0.0516 | 0.1423 | 0.1423 |
| 2021-22 | Amarillo Wranglers | NAHL | 26 | 3 | 15 | 18 | 0.692 | 0.2544 | 0.2521 | 0.7307 | 0.7242 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Northern Michigan | D1 | CCHA | SR | 29 | 2 | 4 | 6 | 0.207 |
| 2023-24 | Northern Michigan | D1 | CCHA | JR | 18 | 0 | 1 | 1 | 0.056 |
| 2022-23 | Northern Michigan | D1 | CCHA | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Northern Michigan | D1 | CCHA | FR | 8 | 0 | 0 | 0 | 0.000 |
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.