| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Charlotte Rush | USPHL-Premier | 27 | 7 | 11 | 18 | 0.667 | 0.2197 | 0.2136 | 0.2268 | 0.2205 |
| 2018-19 | Corpus Christi IceRays | NAHL | 18 | 2 | 5 | 7 | 0.389 | 0.1541 | 0.1435 | 0.4083 | 0.3801 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Aurora | D3 | NCHA | SR | 11 | 2 | 0 | 2 | 0.182 |
| 2021-22 | Aurora | D3 | NCHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Aurora | D1 | — | SO | 10 | 1 | 3 | 4 | 0.400 |
| 2020-21 | Aurora | D3 | NCHA | SO | 10 | 1 | 3 | 4 | 0.400 |
| 2019-20 | Aurora | D1 | — | FR | 18 | 1 | 3 | 4 | 0.222 |
| 2019-20 | Aurora | D3 | NCHA | FR | 18 | 1 | 3 | 4 | 0.222 |
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.