| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | U.S. National U17 Team | NTDP-U18 | 55 | 2 | 10 | 12 | 0.218 | 0.1736 | 0.1794 | 0.8172 | 0.8445 |
| 2012-13 | U.S. National U18 Team | NTDP-U18 | 59 | 7 | 7 | 14 | 0.237 | 0.1887 | 0.1852 | 0.8887 | 0.8720 |
| 2013-14 | Green Bay Gamblers | USHL | 59 | 15 | 18 | 33 | 0.559 | 0.3562 | 0.3586 | 1.6761 | 1.6872 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Notre Dame | D1 | BigTen | SR | 38 | 6 | 2 | 8 | 0.210 |
| 2016-17 | Notre Dame | D1 | — | JR | 39 | 1 | 5 | 6 | 0.154 |
| 2015-16 | Notre Dame | D1 | — | SO | 32 | 3 | 1 | 4 | 0.125 |
| 2014-15 | Notre Dame | D1 | — | FR | 35 | 1 | 1 | 2 | 0.057 |
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.