| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Green Bay Gamblers | USHL | 47 | 6 | 5 | 11 | 0.234 | 0.1490 | 0.1457 | 0.7012 | 0.6855 |
| 2013-14 | Green Bay Gamblers | USHL | 58 | 14 | 9 | 23 | 0.397 | 0.2526 | 0.2351 | 1.1885 | 1.1063 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Colgate | D1 | ECAC | SR | 6 | 0 | 1 | 1 | 0.167 |
| 2016-17 | Colgate | D1 | ECAC | JR | 26 | 3 | 2 | 5 | 0.192 |
| 2015-16 | Colgate | D1 | ECAC | SO | 30 | 2 | 4 | 6 | 0.200 |
| 2014-15 | Colgate | D1 | ECAC | FR | 11 | 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.