| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Washington Jr. Nationals | EHL | 43 | 1 | 16 | 17 | 0.395 | 0.0848 | 0.0848 | 0.1936 | 0.1936 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Saint Mary's | D3 | — | SR | 19 | 0 | 4 | 4 | 0.210 |
| 2016-17 | Saint Mary's | D3 | — | JR | 25 | 1 | 3 | 4 | 0.160 |
| 2015-16 | Saint Mary's | D3 | — | SO | 22 | 0 | 5 | 5 | 0.227 |
| 2014-15 | Saint Mary's | D3 | — | FR | 4 | 0 | 1 | 1 | 0.250 |
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.