| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Shreveport Mudbugs | NAHL | 22 | 3 | 5 | 8 | 0.364 | 0.1350 | 0.1342 | 0.3850 | 0.3828 |
| 2017-18 | Victoria Grizzlies | BCHL | 47 | 8 | 22 | 30 | 0.638 | 0.2484 | 0.2323 | 0.9308 | 0.8704 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Aurora | D3 | NCHA | SR | 25 | 6 | 4 | 10 | 0.400 |
| 2020-21 | Aurora | D3 | NCHA | JR | 6 | 0 | 3 | 3 | 0.500 |
| 2019-20 | Aurora | D3 | NCHA | SO | 24 | 2 | 4 | 6 | 0.250 |
| 2018-19 | Aurora | D3 | NCHA | FR | 23 | 9 | 7 | 16 | 0.696 |
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.