| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Youngstown Phantoms | USHL | 59 | 3 | 6 | 9 | 0.152 | 0.0971 | 0.0963 | 0.4570 | 0.4533 |
| 2012-13 | Youngstown Phantoms | USHL | 64 | 11 | 13 | 24 | 0.375 | 0.2388 | 0.2242 | 1.1238 | 1.0549 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Lawrence | D1 | ECAC | SR | 37 | 1 | 8 | 9 | 0.243 |
| 2015-16 | St. Lawrence | D1 | ECAC | JR | 19 | 2 | 3 | 5 | 0.263 |
| 2014-15 | St. Lawrence | D1 | ECAC | SO | 29 | 5 | 2 | 7 | 0.241 |
| 2013-14 | St. Lawrence | D1 | ECAC | FR | 33 | 2 | 8 | 10 | 0.303 |
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.