| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | NAHL | 41 | 5 | 10 | 15 | 0.366 | 0.1450 | 0.1438 | 0.3842 | 0.3810 |
| 2014-15 | Corpus Christi IceRays | NAHL | 59 | 9 | 17 | 26 | 0.441 | 0.1746 | 0.1640 | 0.4627 | 0.4346 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Concordia | D3 | MIAC | — | 14 | 0 | 4 | 4 | 0.286 |
| 2015-16 | Saint John's | D3 | — | FR | 15 | 4 | 2 | 6 | 0.400 |
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.