| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Odessa Jackalopes | NAHL | 47 | 3 | 13 | 16 | 0.340 | 0.1264 | 0.1316 | 0.3604 | 0.3751 |
| 2014-15 | Kirkland Lake Gold Miners | NOJHL | 35 | 21 | 38 | 59 | 1.686 | 0.2842 | 0.2769 | 0.7004 | 0.6824 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Thomas | D3 | — | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Saint John's | D3 | — | FR | 2 | 0 | 1 | 1 | 0.500 |
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.