| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Omaha Lancers | USHL | 26 | 2 | 2 | 4 | 0.154 | 0.0907 | 0.0908 | 0.4619 | 0.4622 |
| 2016-17 | Corpus Christi IceRays | NAHL | 58 | 13 | 19 | 32 | 0.552 | 0.2027 | 0.1988 | 0.5823 | 0.5710 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Army | D1 | AHA | SR | 16 | 0 | 1 | 1 | 0.062 |
| 2019-20 | Army | D1 | AHA | JR | 33 | 1 | 6 | 7 | 0.212 |
| 2018-19 | Army | D1 | AHA | SO | 22 | 0 | 1 | 1 | 0.045 |
| 2017-18 | Army | D1 | AHA | FR | 3 | 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.