| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Sioux Falls Stampede | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Boston Jr. Bruins | NCDC | 49 | 13 | 16 | 29 | 0.592 | 0.1668 | 0.1737 | 0.4791 | 0.4990 |
| 2018-19 | Boston Jr. Bruins | NCDC | 48 | 21 | 26 | 47 | 0.979 | 0.2759 | 0.2716 | 0.7928 | 0.7805 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Trinity | D3 | NESCAC | SR | 24 | 9 | 5 | 14 | 0.583 |
| 2021-22 | Trinity | D3 | NESCAC | JR | 25 | 6 | 11 | 17 | 0.680 |
| 2020-21 | Trinity | D3 | NESCAC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Trinity | D3 | NESCAC | FR | 25 | 6 | 6 | 12 | 0.480 |
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.