| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Youngstown Phantoms | USHL | 60 | 4 | 8 | 12 | 0.200 | 0.1274 | 0.1322 | 0.5993 | 0.6217 |
| 2012-13 | Youngstown Phantoms | USHL | 63 | 7 | 11 | 18 | 0.286 | 0.1819 | 0.1790 | 0.8562 | 0.8426 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Lawrence | D1 | ECAC | SR | 34 | 5 | 9 | 14 | 0.412 |
| 2015-16 | St. Lawrence | D1 | ECAC | JR | 37 | 3 | 12 | 15 | 0.405 |
| 2014-15 | St. Lawrence | D1 | ECAC | SO | 37 | 5 | 15 | 20 | 0.540 |
| 2013-14 | St. Lawrence | D1 | ECAC | FR | 38 | 3 | 12 | 15 | 0.395 |
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.