| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Omaha Lancers | USHL | 27 | 7 | 4 | 11 | 0.407 | 0.2594 | 0.2604 | 1.2209 | 1.2254 |
| 2013-14 | — | USHL | 24 | 2 | 6 | 8 | 0.333 | 0.2122 | 0.2031 | 0.9988 | 0.9558 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Cornell | D1 | ECAC | SR | 32 | 11 | 9 | 20 | 0.625 |
| 2016-17 | Cornell | D1 | ECAC | JR | 35 | 8 | 9 | 17 | 0.486 |
| 2015-16 | Cornell | D1 | ECAC | SO | 21 | 1 | 3 | 4 | 0.191 |
| 2014-15 | Cornell | D1 | ECAC | FR | 5 | 0 | 2 | 2 | 0.400 |
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.