| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Green Bay Gamblers | USHL | 3 | 0 | 1 | 1 | 0.333 | 0.2122 | 0.2279 | 0.9988 | 1.0728 |
| 2013-14 | Green Bay Gamblers | USHL | 41 | 0 | 4 | 4 | 0.098 | 0.0622 | 0.0639 | 0.2925 | 0.3005 |
| 2014-15 | Green Bay Gamblers | USHL | 49 | 0 | 5 | 5 | 0.102 | 0.0650 | 0.0636 | 0.3057 | 0.2990 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Lawrence | D1 | ECAC | SO | 2 | 0 | 0 | 0 | 0.000 |
| 2015-16 | St. Lawrence | D1 | ECAC | FR | 9 | 0 | 2 | 2 | 0.222 |
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.