| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Muskegon Lumberjacks | USHL | 32 | 1 | 1 | 2 | 0.062 | 0.0369 | 0.0406 | 0.1875 | 0.2062 |
| 2015-16 | Muskegon Lumberjacks | USHL | 57 | 14 | 7 | 21 | 0.368 | 0.2173 | 0.2288 | 1.1055 | 1.1642 |
| 2016-17 | Green Bay Gamblers | USHL | 60 | 20 | 16 | 36 | 0.600 | 0.3539 | 0.3546 | 1.8004 | 1.8041 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Sacred Heart | D1 | AHA | — | 34 | 3 | 5 | 8 | 0.235 |
| 2020-21 | Yale | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Yale | D1 | ECAC | JR | 28 | 5 | 3 | 8 | 0.286 |
| 2018-19 | Yale | D1 | ECAC | SO | 33 | 3 | 2 | 5 | 0.151 |
| 2017-18 | Yale | D1 | ECAC | FR | 30 | 7 | 6 | 13 | 0.433 |
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.