| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 43 | 0 | 4 | 4 | 0.093 | 0.0549 | 0.0544 | 0.2793 | 0.2768 |
| 2015-16 | Green Bay Gamblers | USHL | 52 | 2 | 8 | 10 | 0.192 | 0.1134 | 0.1071 | 0.5776 | 0.5457 |
| 2016-17 | Green Bay Gamblers | USHL | 53 | 2 | 23 | 25 | 0.472 | 0.2783 | 0.2487 | 1.4167 | 1.2661 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Army | D1 | AHA | SR | 22 | 1 | 5 | 6 | 0.273 |
| 2019-20 | Army | D1 | AHA | JR | 27 | 1 | 4 | 5 | 0.185 |
| 2018-19 | Army | D1 | AHA | SO | 39 | 1 | 9 | 10 | 0.256 |
| 2017-18 | Army | D1 | AHA | — | 0 | 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.