| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Shreveport Mudbugs | NAHL | 56 | 9 | 17 | 26 | 0.464 | 0.1724 | 0.1640 | 0.4916 | 0.4678 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Aurora | D3 | NCHA | SR | 23 | 5 | 12 | 17 | 0.739 |
| 2020-21 | Aurora | D3 | NCHA | JR | 11 | 0 | 6 | 6 | 0.545 |
| 2019-20 | Aurora | D3 | NCHA | SO | 26 | 4 | 6 | 10 | 0.385 |
| 2018-19 | Aurora | D3 | NCHA | FR | 27 | 6 | 14 | 20 | 0.741 |
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.