| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | USHL | 60 | 9 | 24 | 33 | 0.550 | 0.3502 | 0.3498 | 1.6482 | 1.6462 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Lawrence | D1 | ECAC | SR | 30 | 8 | 21 | 29 | 0.967 |
| 2015-16 | St. Lawrence | D1 | ECAC | JR | 37 | 12 | 17 | 29 | 0.784 |
| 2014-15 | St. Lawrence | D1 | ECAC | SO | 37 | 6 | 11 | 17 | 0.460 |
| 2013-14 | St. Lawrence | D1 | ECAC | FR | 38 | 9 | 27 | 36 | 0.947 |
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.