| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Topeka Capitals | NA3HL | 47 | 2 | 18 | 20 | 0.425 | 0.0534 | 0.0531 | 0.1343 | 0.1336 |
| 2015-16 | Atlanta Capitals | NA3HL | 45 | 8 | 17 | 25 | 0.556 | 0.0697 | 0.0659 | 0.1754 | 0.1659 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Johnson & Wales | D3 | CNE | — | 16 | 0 | 0 | 0 | 0.000 |
| 2016-17 | Johnson & Wales | D3 | CNE | — | 12 | 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.