| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | St. Louis Bandits | NAHL | 51 | 3 | 13 | 16 | 0.314 | 0.1165 | 0.1186 | 0.3321 | 0.3380 |
| 2012-13 | Amarillo Bulls | NAHL | 51 | 3 | 15 | 18 | 0.353 | 0.1310 | 0.1267 | 0.3737 | 0.3616 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Army | D1 | AHA | SR | 8 | 0 | 1 | 1 | 0.125 |
| 2015-16 | Army | D1 | AHA | JR | 10 | 0 | 0 | 0 | 0.000 |
| 2014-15 | Army | D1 | AHA | SO | 7 | 0 | 1 | 1 | 0.143 |
| 2013-14 | Army | D1 | AHA | FR | 29 | 1 | 1 | 2 | 0.069 |
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.