| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Omaha Lancers | USHL | 53 | 6 | 9 | 15 | 0.283 | 0.1802 | 0.1758 | 0.8481 | 0.8273 |
| 2013-14 | — | USHL | 59 | 20 | 15 | 35 | 0.593 | 0.3777 | 0.3508 | 1.7776 | 1.6509 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Union | D1 | ECAC | SR | 2 | 1 | 0 | 1 | 0.500 |
| 2016-17 | Union | D1 | ECAC | JR | 4 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Union | D1 | ECAC | SO | 17 | 0 | 4 | 4 | 0.235 |
| 2014-15 | Union | D1 | ECAC | FR | 27 | 2 | 3 | 5 | 0.185 |
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.