| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Youngstown Phantoms | USHL | 3 | 0 | 2 | 2 | 0.667 | 0.4246 | 0.4449 | 1.9979 | 2.0934 |
| 2013-14 | Wenatchee Wild | NAHL | 60 | 4 | 27 | 31 | 0.517 | 0.1919 | 0.1989 | 0.5471 | 0.5670 |
| 2014-15 | — | USHL | 54 | 5 | 10 | 15 | 0.278 | 0.1769 | 0.1684 | 0.8325 | 0.7924 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cornell | D1 | ECAC | SR | 36 | 4 | 15 | 19 | 0.528 |
| 2017-18 | Cornell | D1 | ECAC | JR | 33 | 2 | 10 | 12 | 0.364 |
| 2016-17 | Cornell | D1 | ECAC | SO | 34 | 2 | 5 | 7 | 0.206 |
| 2015-16 | Cornell | D1 | ECAC | FR | 2 | 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.