| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USHL | 39 | 5 | 6 | 11 | 0.282 | 0.1664 | 0.1889 | 0.8473 | 0.9620 |
| 2016-17 | — | USHL | 53 | 6 | 12 | 18 | 0.340 | 0.2003 | 0.2172 | 1.0200 | 1.1061 |
| 2017-18 | — | USHL | 55 | 20 | 37 | 57 | 1.036 | 0.6114 | 0.6326 | 3.1127 | 3.2207 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Notre Dame | D1 | BigTen | JR | 29 | 15 | 17 | 32 | 1.103 |
| 2019-20 | Notre Dame | D1 | BigTen | SO | 36 | 11 | 17 | 28 | 0.778 |
| 2018-19 | Notre Dame | D1 | BigTen | FR | 39 | 7 | 2 | 9 | 0.231 |
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.