| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Tri-City Storm | USHL | 10 | 1 | 2 | 3 | 0.300 | 0.1910 | 0.1963 | 0.8990 | 0.9239 |
| 2012-13 | Tri-City Storm | USHL | 48 | 12 | 15 | 27 | 0.562 | 0.3582 | 0.3491 | 1.6856 | 1.6425 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Dartmouth | D1 | ECAC | SR | 30 | 8 | 8 | 16 | 0.533 |
| 2015-16 | Dartmouth | D1 | ECAC | JR | 34 | 5 | 12 | 17 | 0.500 |
| 2014-15 | Dartmouth | D1 | ECAC | SO | 30 | 5 | 14 | 19 | 0.633 |
| 2013-14 | Dartmouth | D1 | ECAC | FR | 31 | 8 | 11 | 19 | 0.613 |
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.