| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | U.S. National U17 Team | NTDP-U18 | 7 | 1 | 0 | 1 | 0.143 | 0.1108 | 0.1138 | 0.5319 | 0.5461 |
| 2013-14 | Austin Bruins | NAHL | 42 | 10 | 5 | 15 | 0.357 | 0.1415 | 0.1539 | 0.3749 | 0.4077 |
| 2014-15 | Green Bay Gamblers | USHL | 51 | 3 | 7 | 10 | 0.196 | 0.1205 | 0.1209 | 0.5777 | 0.5794 |
| 2015-16 | Lincoln Stars | USHL | 49 | 4 | 10 | 14 | 0.286 | 0.1756 | 0.1680 | 0.8417 | 0.8051 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bentley | D1 | AHA | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Bentley | D1 | AHA | SO | 5 | 0 | 1 | 1 | 0.200 |
| 2016-17 | St. Lawrence | D1 | ECAC | FR | 11 | 0 | 1 | 1 | 0.091 |
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.